Morphological, anatomical and biochemical changes ... · resistant cv. Charlton and susceptible...
Transcript of Morphological, anatomical and biochemical changes ... · resistant cv. Charlton and susceptible...
Morphological, anatomical and biochemical
changes associated with the infection processes of Sclerotinia sclerotiorum in a resistant cultivar of
Brassica napus
Harsh
B.Sc. Agric. (Hons.)
M.Sc. Plant Breeding & Biotechnology
This thesis is presented for the degree of Doctor of Philosophy of
the University of Western Australia
School of Plant Biology
Faculty of Natural and Agricultural Sciences
University of Western Australia
2010
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ABSTRACT
Host resistance offers the only economic and sustainable method for effectively
managing the disease caused by Sclerotinia sclerotiorum in Brassicas. However, the
level of host resistance to this pathogen is still inadequate. Poorly characterized
resistance mechanisms against this pathogen further confine the strategies that can be
undertaken to design durable resistance or effective disease control measures. The focus
of this thesis was to identify resistant genotypes (including the different form(s) of
resistance expression), and to define the underlying mechanism(s) of resistance in B.
napus against the pathogen.
To identify Brassica genotypes with resistance to this pathogen, the foremost pre-
requisite was to develop a rapid and reliable method of screening that could enhance
screening of large number of genotypes in a short time. To address this, the feasibility
of utilizing a cotyledon assay already developed for Sclerotinia disease on legumes was
examined for B. napus. After a series of standardization steps, a cotyledon assay was
successfully deployed for B. napus (P < 0.001) genotypes under controlled
environmental conditions. Certain genotypes (e.g., cv. Charlton) responded with a
distinct hypersensitive reaction (lesions <1 mm diameter)) with this assay, which is the
first report of this phenomenon in the B. napus-S. sclerotiorum pathosystem. Responses
of genotypes across three repeat screening experiments were significantly and positively
correlated, (r > 0.90; P < 0.001). Additionally, there was a significant positive
correlation (r = 0.62; P < 0.01) between published field data for stem rot resistance with
the cotyledon test results across the genotypes that were ‘in common’, an indication of
the relative reliability of the method developed. This assay identifies responses of B.
napus genotypes in a total of 16 days compared with up to 3-4 months when other
methods such as the stem inoculation technique are utilized.
Owing to a large diversity of S. sclerotiorum reported under field conditions, the
selected B. napus genotypes identified in the initial screening experiment were further
evaluated across a range of morphologically different S. sclerotiorum isolates. Out of
the eight isolates collected from the different regions of Western Australia, three darkly
pigmented isolates were identified and this is the first report of the occurrence of such
isolates in Australia. Significant differences were observed between different isolates (P
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≤ 0.001) in two separate experiments in relation to pathogenicity. Differences were also
observed between the different Brassica genotypes (P ≤ 0.001) in their responses to
different isolates of S. sclerotiorum and there was a significant host x pathogen
interaction (P ≤ 0.001) in both experiments. Responses of some genotypes (e.g., cv.
Charlton) were relatively consistent irrespective of the isolates, whereas highly variable
responses were observed in certain other genotypes (e.g., Zhongyou-ang No. 4, Purler)
against the same isolates. Results indicate that the unique genotypes which show
relatively consistent resistant reaction (e.g., cv. Charlton) across different but highly
pathogenic isolates are suitable for commercial exploitation in oilseed Brassica
breeding programmes.
To define the mechanism(s) of resistance in a B. napus genotype (cv. Charlton) that
responded consistently, particularly across the highly pathogenic isolates in the previous
experiment, ascospores were initially considered to be the ideal inoculum type as these
are known to be a primary source of infection of S. sclerotiorum. Due to the
inconsistencies reported in the literature to date for stimulation of carpogenic
germination (to produce ascosporic inoculum) under artificial conditions, a study was
undertaken, firstly, to investigate the effect on carpogenic germination of scarifying
sclerotia from two S. sclerotiorum isolates taken from canola (B. napus), and secondly,
to identify environmental factor(s) that enhance carpogenic germination. Carpogenic
germination of scarified sclerotia was significantly greater (P < 0.05) than for un-
scarified sclerotia. There was significant interaction (P < 0.001) between scarification
and the different environmental treatments in relation to the carpogenic germination.
Further, overall carpogenic germination of both scarified and un-scarified sclerotia
occurred to the greatest extent when sclerotia of either isolate were subjected to constant
rinsing with tap water.
Infection processes of two B. napus genotypes, one resistant (cv. Charlton) and one
susceptible (RQ001-02M2) to S. sclerotiorum were examined by using ascosporic
inoculum obtained in the previous experiment to understand the mechanism(s) of
resistance. Cultivar Charlton showed impeded fungal growth at 1, 2 and 3 days post
inoculation (dpi), active suppression of the infection cushions, extrusion of protoplast
from hyphal cells and hypersensitive reaction. At 8 dpi, whilst in cv. Charlton pathogen
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invasion was mainly confined to the upper epidermis, in RQ001-02M2 colonization up
to the spongy mesophyll cells was evident. Calcium oxalate crystals were found in the
upper epidermis and in palisade cells in RQ001-02M2 at 6 dpi, and throughout leaf
tissues at 8 dpi. In cv. Charlton, crystals were not observed at 6 dpi, whereas at 8 dpi
they were mainly found in the upper epidermis. Starch deposits were more prevalent in
RQ001-02M2. This study also demonstrates, for the first time, that resistance in B.
napus to S. sclerotiorum is conferred by retardation of pathogen development on and
within tissues and associated cellular responses of the host.
To further understand the mechanism of resistance expressed in the B. napus – S.
sclerotiorum pathosystem at a biochemical level, a comparative morphological,
histological and proteomic analysis [using two-dimensional electrophoresis at 12, 24, 48
and 72 h post inoculation (hpi)] was conducted of the same two B. napus genotypes viz.,
Charlton and RQ001-02M2. Significant differences (P ≤ 0.001) were observed between
resistant cv. Charlton and susceptible RQ001-02M2 at 72 and 96 hpi in terms of a lesion
size on cotyledon. Anatomical investigations revealed impeded fungal growth (at 24 hpi
and onwards) only for resistant cv. Charlton. The proteins related to antioxidant defence
(glutathione S-transferase, monodehydroascorbate reductase), hormone biosynthesis (S-
adenosylmethionine synthase), protein synthesis (cysteine synthase), pathogenesis
related proteins (Major latex-related protein), protein folding (20 kDa chaperonin) and
those related to the metabolic pathways (e.g., carbonic anhydrase) were found to
increase in abundance only in the resistant cv. Charlton in response to the pathogen
challenge. The co-ordinated expression of all these proteins is considered to be
responsible for mediating defence responses in resistant cv. Charlton. Engineering B.
napus genotype that express enhanced levels of these proteins could increase the levels
of resistance against this pathogen in commercial cultivars. To best of my knowledge,
this is the first study in which proteomic approach has been deployed in the
incompatible interaction of B. napus and S. sclerotiorum.
The search for identifying novel and effective resistant sources to S. sclerotiorum, was
further extended to wild cruciferous species in this research. Introgression lines were
developed following hybridization of three wild crucifers (viz. Erucastrum
cardaminoides, Diplotaxis tenuisiliqua and E. abyssinicum) with B. napus or B. juncea.
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Their resistance responses were characterized by using a stem inoculation test. Seed of
54 lines of B. napus and B. juncea obtained from Australia, India and China through an
Australian Centre for International Agricultural Research (ACIAR) collaboration
programme were used as susceptible check comparisons. Introgression lines derived
from E. cardaminoides, D. tenuisiliqua and E. abyssinicum had much higher levels (P <
0.001) of resistance (median values for stem lesion length were 1.7, 1.2 and 2.0 cm,
respectively) as compared with the ACIAR germplasm (median value of 8.7 cm). This
is the first report of high levels of resistance against S. sclerotiorum in introgression
lines derived from these wild crucifers.
This study has taken a significant step forward to identify novel resistance sources that
can be used in oilseed Brassica breeding programmes to enhance resistance in future B.
napus and B. juncea cultivars against Sclerotinia stem rot. This study has also
significantly advanced our understanding of the mechanisms of resistance at both
cellular and biochemical levels in a B. napus genotype that can now form the basis for
developments of markers for disease resistance or to design the more effective disease
control measures. Future studies that focus on the mapping of the genes governing
resistance and further understanding of defense responses against S. sclerotiorum in the
new introgression lines resulting from this study, could be used to further enhance both
the degree and durability of resistance in the current commercial cultivars.
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ACKNOWLEDGEMENTS
Researching for this thesis over the past few years has been an incredibly rewarding experience. In the numerous hours of exploring this project; I acknowledge the support and encouragement from a number of people who have helped me to achieve my goals. First and foremost, I offer my sincere gratitude to my supervisors Prof. Martin Barbetti and Prof. K. Sivasithamparam from School of Plant Biology, The University of Western Australia (UWA) for their support and motivation throughout this thesis. Their timely reviews, patience, useful comments on my research questions and experimental approaches helped me immensely to improve this work. Prof. Martin Barbetti has been a constant source of immense inspiration to me during the entire course of this research. His constructive guidance, enthusiasm and especially the encouraging attitude helped me to achieve my best. His incredible abilities to understand research related issues in great depth helped me in improving my experimental design and analysis to a great extent. Prof. K. Sivasithamparam has been a great supervisor. His intellectual guidance, ability to simplify tough tasks, prudent cooperation, patience, and critical judgments have always been a motivating factor for me to achieve my goals. I enjoyed my research discussions with him because of his ability of explaining different plant pathology aspects in a way that helped me in developing a new vision to science. My warm thanks to Dr. Hua Li for providing guidance to me in lab experiments during the entire course of this study. She has been a great person, a great friend and a great colleague.
My sincere thanks to Dr. SS Banga and Dr. SK Banga (and their team) from Punjab Agricultural University, India for giving me an opportunity to work with them and for providing the access to the novel germplasm that they have developed. I am grateful to Professor Hans Lambers for his continous support during my PhD, and office staff especially Dr. Renu Sharma for assiting with the administrative help during this journey. I would also like to thank for the help given to me for microscopy studies by Professor John Kuo, Mr. John Murphy, Mr Steve Parry and Ms Lyn Kirilak from the Centre for Microscopy, Characterization & Analysis, UWA. Needless to say, I am thankful to all the agencies that funded this research project. The financial assistance given by Australian Centre of International Agricultural Research through John Allwright Fellowship is gratefully acknowledged. I am thankful to the school of plant Biology for providing me research funds for this project. My PhD journey has indeed been an enjoyable experience especially because of my friends Mily Devji, Maheswari Jayakannan and Foteini Hassiotou. Their informal support and encouragement especially during my hard time of compiling this thesis is truly indispensable. In my daily work life, I was blessed with a friendly and cheerful group of fellow colleagues. I gratefully acknowledge them especially those I shared my room with for their friendship and assistance during my PhD.
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Lastly, and most importantly, enormous thanks to my parents and my family members for their selfless sacrifices and uninterrupted support, regardless of the distances between us. My parents have always been a beacon light in my career and they constantly rejuvenated my spirit that enabled me to explore my potential and perform at my best. It would not have been possible for me to achieve this without their love and support. I dedicate this thesis to my parents and I hope that this achievement will fulfill the dream they had for me for all those years when they chose to give me the best education at the expense of their own leisures.
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TABLE OF CONTENTS
Abstract .......................................................................................................................... iii Acknowledgements........................................................................................................vii Table of Contents ...........................................................................................................ix Table of Appendices......................................................................................................xii Abbreviations List.........................................................................................................xv CHAPTER 1 General Introduction ..........................................................................1
1.1 Background .......................................................................................................1 1.1.1 Oilseed Brassicas and Sclerotinia disease ..................................................2 1.1.2 Symptoms of Sclerotinia disease ................................................................2 1.1.3 Disease cycle...............................................................................................3 1.1.4 Disease management practices....................................................................4 1.1.5 Screening techniques to identify resistant genotypes..................................7 1.1.6 Pathogenicity of S. sclerotiorum isolates ..................................................10
1.2 Host-pathogen interactions..............................................................................11 1.2.1 Host-pathogens interactions at the cellular level.......................................11 1.2.2 Host-pathogen interactions at the biochemical or molecular level ...........13
1.3 Gaps in knowledge..........................................................................................17 1.4 Research questions ..........................................................................................17 1.5 Thesis structure ...............................................................................................18
CHAPTER 2 Cotyledon Assay as a Rapid and Reliable Method of Screening for Resistance against Sclerotinia sclerotiorum in Brassica napus Genotypes ...............22
2.1 Abstract ...........................................................................................................22 2.2 Introduction .....................................................................................................23 2.3 Materials and methods ....................................................................................25
2.3.1 S. sclerotiorum isolate...............................................................................25 2.3.2 Test conditions ..........................................................................................25 2.3.3 Genotypes tested .......................................................................................25 2.3.4 Inoculum production .................................................................................26 2.3.5 Inoculations ...............................................................................................26 2.3.6 Disease assessment....................................................................................27 2.3.7 Data analyses.............................................................................................27
2.4 Results .............................................................................................................27 2.4.1 Experiments 1, 2 and 3..............................................................................27 2.4.2 Correlation of experiment 1 cotyledon test results with field ratings of Li et al. (2006) .............................................................................................................28
2.5 Discussion .......................................................................................................29 CHAPTER 3 Pathogenicity of Morphologically Different Isolates of Sclerotinia sclerotiorum with Brassica napus and B. juncea Genotypes......................................34
3.1 Abstract ...........................................................................................................34 3.2 Introduction .....................................................................................................35 3.3 Materials and Methods....................................................................................36
3.3.1 S. sclerotiorum isolates .............................................................................36 3.3.2 Molecular identification of different isolates............................................36 3.3.3 Comparison of colony characteristics .......................................................37 3.3.4 Pathogenicity of different isolates.............................................................37
3.4 Results .............................................................................................................39
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3.4.1 Molecular identification of different isolates............................................ 39 3.4.2 Colony characteristics of isolates..............................................................41 3.4.3 Responses of various genotypes to different isolates of S. sclerotiorum.. 41 3.4.4 Pathogenicity of different isolates of S. sclerotiorum............................... 43 3.4.5 Host x pathogen interaction ...................................................................... 43 3.4.6 Correlation of responses of genotypes between experiments ................... 44
3.5 Discussion....................................................................................................... 45 CHAPTER 4 Scarification and Environmental Factors that Enhance Carpogenic Germination of Sclerotia of Sclerotinia Sclerotiorum ........................... 50
4.1 Abstract ........................................................................................................... 50 4.2 Introduction..................................................................................................... 51 4.3 Materials and Methods.................................................................................... 53
4.3.1 S. sclerotiorum isolates and production of sclerotia ................................. 53 4.3.2 Experimental design.................................................................................. 54 4.3.3 Scarification .............................................................................................. 55 4.3.4 Treatments................................................................................................. 56 4.3.5 Data collection and Data analysis ............................................................. 58
4.4 Results............................................................................................................. 59 4.4.1 Effect of scarification, environmental treatment and isolate on carpogenic germination of S. sclerotiorum............................................................................... 59 4.4.2 Environmental treatment x scarification, isolate x scarification and isolate x environmental treatment interactions................................................................... 62 4.4.3 Seasonal rhythm of the two isolates in response to the time of the year .. 63
4.5 Discussion....................................................................................................... 63 CHAPTER 5 The Infection Processes of Sclerotinia sclerotiorum in cotyledon tissue of a resistant and susceptible genotype of Brassica napus .............................. 68
5.1 Abstract ........................................................................................................... 68 5.2 Introduction..................................................................................................... 69 5.3 Materials and methods .................................................................................... 70
5.3.1 Host genotypes.......................................................................................... 70 5.3.2 S. sclerotiorum isolate............................................................................... 71 5.3.3 Inoculum production................................................................................. 71 5.3.4 Inoculum preparation, inoculation conditions and inoculation procedure 71 5.3.5 Sample preparation for light microscopy.................................................. 72 5.3.6 Sample preparation for anatomical studies ............................................... 73 5.3.7 Sample preparation for scanning electron microscopy (SEM) studies..... 73 5.3.8 Statistical analysis..................................................................................... 74
5.4 Results............................................................................................................. 74 5.4.1 Ascospore germination and fungal development in DI water .................. 74 5.4.2 Ascospore germination and fungal development in Pi-glucose medium.. 75 5.4.3 Anatomical differences ............................................................................. 77
5.5 Discussion....................................................................................................... 79 CHAPTER 6 Differentially Expressed Proteins Associated with Compatible and Incompatible Interactions of the Brassica napus – Sclerotinia sclerotiorum Pathosystem 93
6.1 Abstract ........................................................................................................... 93 6.2 Introduction..................................................................................................... 94 6.3 Methodology................................................................................................... 97
6.3.1 Host genotypes, S. sclerotiorum isolate and inoculation procedure ......... 97
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6.3.2 Histology...................................................................................................97 6.3.3 Protein extraction ......................................................................................98 6.3.4 Two-dimensional electrophoresis .............................................................99 6.3.5 Image analysis and protein identification ...............................................100
6.4 Results ...........................................................................................................101 6.4.1 Morphological differences ......................................................................101 6.4.2 Histological differences ..........................................................................104 6.4.3 Differential proteins from the interaction between S. sclerotiorum and the two B. napus genotypes.........................................................................................107 6.4.4 Functional classification of the protein identified...................................109
6.5 Discussion .....................................................................................................110 6.5.1 Proteins involved in metabolic pathway .................................................112 6.5.2 Proteins associated with antioxidant defence..........................................113 6.5.3 Proteins involved in protein synthesis.....................................................116 6.5.4 Pathogenesis related proteins ..................................................................117 6.5.5 Proteins involved in hormone biosynthesis and signaling ......................118 6.5.6 Molecular chaperones and post-translation modification of proteins .....119 6.5.7 Proteins of pathogen origin .....................................................................119 6.5.8 Concluding remarks ................................................................................121
CHAPTER 7 High level of Resistance to Sclerotinia sclerotiorum in Introgression Lines Derived from Hybridization between Wild Crucifers and the Crop Brassica species B. napus and B. juncea ..........................................................135
7.1 Abstract .........................................................................................................135 7.2 Introduction ...................................................................................................136 7.3 Materials and methods ..................................................................................138
7.3.1 Plant materials.........................................................................................138 7.3.2 Field experimental site ............................................................................141 7.3.3 S. sclerotiorum isolate.............................................................................141 7.3.4 S. sclerotiorum inoculations....................................................................141 7.3.5 Disease assessment..................................................................................141 7.3.6 Resistance categories ..............................................................................142 7.3.7 Data analysis ...........................................................................................142
7.4 Results ...........................................................................................................142 7.4.1 Resistance responses of introgression lines derived from three wild species (E. cardaminoides, D. tenuisiliqua and E. abyssinicum) and of ACIAR germplasm.............................................................................................................142 7.4.2 Comparison of introgression lines derived from three wild species .......146 7.4.3 Comparison of different cross combinations within each wild species/effect of second cross species...................................................................149 7.4.4 Correlation between stem lesion length and stem diameter....................149
7.5 Discussion .....................................................................................................150 CHAPTER 8 GENERAL DISCUSSION..............................................................153
8.1 Summary .......................................................................................................153 8.1.1 Identification of sources of resistance.....................................................154 8.1.2 Production and comparison of ascosporic inoculum with mycelial inoculum................................................................................................................155 8.1.3 Mechanisms of resistance .......................................................................158 8.1.4 Wild cruciferous as a potential source of high resistance to S. sclerotiorum 164
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8.1.5 Concluding Remarks and future work .................................................... 165 Bibliography ................................................................................................................ 167
TABLE OF APPENDICES
APPENDIX 1................................................................................................................ 205 APPENDIX 2................................................................................................................ 207 APPENDIX 3................................................................................................................ 209
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Thesis Declarations Thesis Declarations Thesis Declarations Thesis Declarations aaaand Publication Listnd Publication Listnd Publication Listnd Publication List
This thesis is presented as a series of scientific papers that includes five published and
one submitted manuscripts that have been co-authored. The bibliographical details of
the work and where it appears in the thesis is outlined below:
Chapter 2: Garg H, Sivasithamparam K, Banga SS, Barbetti MJ. 2008. Cotyledon
assay as a rapid and reliable method of screening for resistance against
Sclerotinia sclerotiorum in Brassica napus genotypes. Australasian Plant
Pathology 37: 106-111.
Chapter 3: Garg H, Kohn LM, Andrew M, Hua Li, Sivasithampara m K, Barbetti
MJ. 2010. Pathogenicity of morphologically different isolates of Sclerotinia
sclerotiorum with Brassica napus and B. juncea genotypes. European Journal of
Plant Pathology 126: 305-315.
Chapter 4: Garg H, Sivasithamparam K, Barbetti MJ. 2010. Scarification and
environmental factors that enhance carpogenic germination of sclerotia of
Sclerotinia sclerotiorum. Plant Disease 94: 1041-1047.
Chapter 5: Garg H, Hua Li, Kuo J, Sivasithamparam K, Barbetti MJ. 2010. The
Infection Processes of Sclerotinia sclerotiorum in cotyledon tissue of a resistant
and susceptible genotype of Brassica napus. Annals of Botany (accepted).
Chapter 6: Garg H, Hua Li, Sivasithamparam K, Barbetti MJ. 2010. Differentially
expressed proteins associated with compatible and incompatible interactions of
the Brassica napus – Sclerotinia sclerotiorum pathosystem. Proteomics
(submitted).
Chapter 7: Garg H, Atri C, Sandhu PS, Kaur B, Renton M, Banga SK, Singh H,
Singh C, Barbetti MJ, Banga SS. 2010. High level of resistance to Sclerotinia
sclerotiorum in introgression lines derived from wild crucifers and the crop
Brassica species B. napus and B. juncea. Field Crops Research 117: 51-58.
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The majority of the work carried out for these papers (or chapters) as well as the rest of
this thesis is entirely my own, with two exceptions. In chapter 3, Dr. Linda Kohn and
Dr. M. Andrew from University of Toronto, Mississauga, Canada confirmed the
identification of the fungal isolates by molecular techniques. Rest all of the work for
pathogenicity studies of chapter 3, including writing manuscript was conducted by me
at the University of Western Australia. For Chapter 7, Dr. SS Banga and his team, (Dr.
C. Attri, Miss B. Kaur and Dr. S. K. Banga) were involved in the development of the
introgression lines in Punjab Agricultural University, India. Dr. P. S. Sandhu, Dr. H.
Singh, and Mr. C. Singh helped in field screening of the germplasm. Dr. Michael
Renton helped in data analysis of this chapter. My contribution to this paper/chapter
constitutes of formulation of aims and objectives, research plan, field experiment, data
collection and interpretation, and for writing the manuscript. The contribution of different
co-authors in rest of the papers was mainly associated with giving me initial research
directions, statistical advice/help, microscopy help and in editing various versions of all
the manuscripts.
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ABBREVIATIONS LIST
ACIAR Australian Centre for International Agricultural Research
AdoMet S-adenosylmethionine
ANOVA Analysis of variance
CCB Colloidal Coomassie blue
D Day
DI Deionised
Dpi Days post inoculation
DTT Dithiothreitol
ET Ethylene
GMA Glycol methacrylate
GSH Glutathione
GST Glutathione S-transferase
Hpi Hours post inoculation
HR Hypersensitive
Hsps Heat-shock proteins
IEF Isolelectric focusing
l.s.d Least significant differences
LPD lipoyl-dehydrogenases
MDHAR Monodehydroascorbate reductase
PAS Periodic Acid/Schiff’s
PDA Potato dextrose agar
PDI Protein disulfide isomerise
PMSF Phenylmethylsulfonyl fluoride
PR Pathogenesis-related
RH Relative humidity
ROS Reactive oxygen species
SOD Superoxide dismutase
TCA Trichloroacetic acid
WA Western Australia
Wai Weeks after inoculation
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CHAPTER 1 General Introduction
1.1 BACKGROUND
Sclerotinia sclerotiorum, the causal agent of Sclerotinia disease, is one of the most
destructive and cosmopolitan of plant pathogens (Bolton et al., 2006). More than 60
names have been given to this disease, all based on symptoms such as stem rot, white
mould or cottony rot and how different crop species responded to the pathogen (Saharan
and Mehta, 2008). This necrotrophic fungal pathogen attacks over 400 plant species
worldwide, and is now considered as a serious threat to many economical important
crops including soybean (Glycine max), sunflower (Helianthus annus) and canola
(Brassica napus) (e.g., Willetts and Wong, 1980; Boland and Hall, 1994). The
devastating nature of this pathogen is also apparent from the fact that the collective
annual losses from S. sclerotiorum in the United States alone, from different crop
species have been estimated as high as $280 million
(http://www.whitemoldresearch.com). Extensive crop damage by this pathogen have
been the impetus for sustained research worldwide targeting effective disease control
measures against this pathogen (Lumsden, 1979; Willetts and Wong, 1980; Bolton et
al., 2006). For instance, US Department of Agriculture has initiated a scheme called
“National Sclerotinia Initiative” involving 20 different projects related to this pathogen
(Bolton et al., 2006). In addition, the genome of S. sclerotiorum has also been
sequenced to advance the understanding of this devastating pathogen
(http://www.broad.mit.edu/annotation/fungi/fgi/).
Effective disease control measures against S. sclerotiorum continues to be a challenge
because of the inefficiency of chemical control in managing this disease, largely due to
difficulty in timing the application with the release of ascospores (Bolton et al., 2006).
Furthermore, cultural practices tend to avoid or reduce the severity of Sclerotinia stem
rot, but none effectively controls S. sclerotiorum on its own. Host resistance offers the
only economic and sustainable method for effectively managing this disease. However,
the level of host resistance to this pathogen is still inadequate (Bolton et al., 2006; Li et
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al., 2007), Poorly characterized resistance mechanisms against this pathogen further
limits the strategies that can be undertaken to design durable resistance or effective
disease control measures. Overall, the aim of this thesis was to identify resistant
genotypes, (including the different form(s) of resistance expression), and to define the
underlying mechanism(s) of resistance in B. napus against S. sclerotiorum.
1.1.1 Oilseed Brassicas and Sclerotinia disease
Oilseed Brassica is an important agricultural crop in Australia, India, China, Canada
and in Europe and contributes towards 13% of the total world’s production of edible oil
(Carr, 1990). It has become increasingly important especially in Australian agriculture
over the last few decades and it is now Australia’s third largest field crop (Barbetti and
Khangura, 2000). Oilseed Brassicas are confronted by a number of diseases, such as
blackleg, downy mildew, alternaria blight (Barbetti and Khangura, 2000), of which
Sclerotinia stem rot poses a major threat to production (Saharan and Mehta, 2008).
Yield losses due to Sclerotinia disease vary among different crop species and it can be
as high as 100% (Purdy, 1979). Similarly, crop damage up to 24% has been recorded in
canola under Australian conditions (Hind- Lanoiselet and Lewington, 2004). A yield
survey of canola in New South Wales in 1998, showed 80% of petals infected with this
pathogen in an individual field, with the number of stems infected reaching 30% (Hind
et al., 2001). As a consequence, Sclerotinia is now considered to be a major threat to
canola industry in Australia.
1.1.2 Symptoms of Sclerotinia disease
The symptoms of Sclerotinia can vary among different crop species according to the
host part affected, stage of infection and environmental conditions. However,
appearance of water soaked lesion followed by the white fluffy mycelial growth are the
most obvious and typical early symptoms of Sclerotinia disease (Saharan and Mehta,
2008). An example of infected tissue of a few crops species such as bean, carrot and
Brassica is shown in Fig. 1. In Brassica, while water soaked lesions are mainly apparent
on the stem tissue, all the above-ground parts of the plants is subjected to attack by the
fungus (Hind-Lanoiselet and Lewington, 2004). The water-soaked lesions elongate, are
covered by a white cottony growth, and eventually the fungus completely girdles the
stem tissues leading to the wilt or drying of the host (Phillips et al., 2002). The infected
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stems tend to shred and numerous thick walled resting structures called sclerotia can be
seen either on the host surface or in the pith of the affected stems (Willetts and Wong,
1980).
Figure 1 An example of the symptoms of Sclerotinia disease in different host species, where A, B, C, D and E represent Sclerotinia disease on peas, soybean, potato, carrot and B. napus, respectively. Fig. 1A, B and C are adapted from http://www.whitemoldresearch.com and Fig. 1D is adapted from Kora et al., 2003.
1.1.3 Disease cycle
The fungus over-winters in soil or in stubble as sclerotia which remain viable for up to
eight years (William and Stelfox, 1980). Under favourable conditions (i.e. high moisture
and low temperature) sclerotia can germinate either myceliogenically or carpogenically
(Fig. 2). In myceliogenic germination, sclerotia can produce infective hyphae which
invade the tissue of the host generally near the stem base (Willets and Wong, 1980).
Myceliogenic germination is considered to be of minor importance in disease
epidemiology, with the exception of sunflower and, oilseed Brassica crops in India
where myceliogenic germination is considered to be important (Singh et al., 2008).
More commonly, sclerotia germinate carpogenically (Fig. 2), producing apothecia
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releasing wind-borne ascospores (Willets and Wong, 1980). These ascospores can either
germinate and penetrate at wound sites on host tissues or, on dead or live flowers,
senescent leaves and organic matter which are often in contact with the host tissue
(Abawi and Grogan, 1979; Willets and Wong, 1980; Jamaux et al., 1995; McCartney et
al., 1999). The ascosporic mycelium which develops on these nutrient bases, when
deposited on leaves, leaf axils or stem tissues leads to the development of stem rots
(Abawi and Grogan, 1979). This mode of infection involving ascospores is particularly
important for oilseed Brassica where the disease is mainly evident during and after
flowering (Turkington and Morrall, 1993). Subsequently, sclerotia are produced mainly
internally in infected stem cavities (Purdy, 1958). These sclerotia are then dislodged
during harvesting and accumulate in plant debris and in soil.
Figure 2 A schematic representation of the disease cycle of Sclerotinia sclerotiorum in Brassica spp. Fig. 2A, B and F are adapted from www.canola-council.org/
1.1.4 Disease management practices
Various methods used for managing S. sclerotiorum include chemical control, cultural
control, biological control and varietal resistance (Bardin and Huang 2001). The
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5
efficacy of a number of fungicides such as benomyl, chlorothalonil, thiophanate methyl
and dicloran has been tested (Tu, 1997; Mueller et al., 2002). However, chemical
control is often ineffective, largely due to difficulty in timing the application with the
release of ascospores (Bolton et al., 2006), especially in Australia where petal infection
can be a poor indicator of subsequent stem infection levels (Hind et al., 2003).
Development of resistance against various fungicides by the pathogen such as those
reported for benomyl in Canada (Gossen and Rimmer, 2001) is also a considerable
drawback. Furthermore, various environmental and economic concerns associated with
the use of fungicides (Saharan and Mehta, 2008) hampers their use as an effective
measure to manage S. sclerotiorum.
Cultural practices tend to avoid or reduce the severity of Sclerotinia stem rot, but none
effectively control S. sclerotiorum on their own. Cultural practices include (i) crop
rotation (Tu, 1997; Gracia-Garza et al., 2002); (ii) increased row spacing and decreased
seeding rate (Hoes and Huang, 1975); and (iii) practices that discourage apothecial
production and ascosposre release, such as maintaining high irrigation to increase
rotting of sclerotia (Teo et al., 1989) or burning of crop residues (Hind-Lanoiselet et al.,
2005). However, the persistent nature of sclerotia and lack of strain specificity in regard
to pathogenicity on various hosts, further limit the effectiveness of cultural practices
(William and Stelfox, 1980).
Biological control has also been explored as an alternative control measure strategy to
combat S. sclerotiorum. Several antagonistic and mycoparasitic fungi such as
Coniothyrium minitans, Trichoderma spp., Gliocladium spp., Sporidesmium
sclerotivorum, Cladosporium cladosporiodes and bacteria have been suggested as
potential bio-control agents (e.g., Adams and Ayers, 1979; Boland and Hunter, 1988;
Budge and Whipps, 1991; Huang et al., 2000; Jones et al., 2004). However, difficulties
associated with growing various mycoparasites in vitro such as those for S.
sclerotivorum (Del Rio et al., 2002), and requirement for large quantity of inoculum
under field conditions limit the use of biological control agents as an effective disease
control measure.
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6
1.1.4.1 Host resistance – an effective and sustainable measure of managing Sclerotinia
disease
Host resistance offers the best economic and sustainable method for effectively
managing this disease (Zhao et al., 2004; Li et al., 2006). Numerous studies with
different crop species indicate the presence of partial resistance against S. sclerotiorum,
while complete resistance against this pathogen has not been reported. For instance,
partial resistance against this pathogen has been observed in certain genotypes of
sunflower (Helianthus annuus) (Godoy et al., 2005), beans (Phaseolus coccineus)
(Gilmore et al., 2002), peas (Pisum sativum) (Porter et al., 2009), peanut (Arachis
hypogea) (Cruickshank et al., 2002), and soybean (Glycine max) (Hartman et al., 2000).
Partial resistance was also identified in some Brassica napus and, to a lesser extent B.
juncea, genotypes from China (Li et al., 1999; Zhao et al., 2004; Li et al., 2006; Li et
al., 2008), Australia (Li et al., 2006; Li et al., 2008) and India (Singh et al., 2008). These
studies suggest that different crop species possess genes that can impart resistance to S.
sclerotiorum and hence there is an urgent need to screen more germplasm to enhance
the level of resistance against this disease in existing cultivars.
1.1.4.2 Potential to use wild germplasm to broaden the genetic base of resistance
against Sclerotinia disease
Potential of wild species as a source of resistance against various pathogens has long
been recognized (e.g., Knott and Dvorak, 1976; Doney and Witney, 1990). Lack of
complete resistance to Sclerotinia disease in cultivated species has also stimulated the
interest of researchers towards exploitation of wild relatives to diversify the existing
gene pool. Higher levels of resistance against Sclerotinia have already been reported in
the secondary gene pool of bean (Abawi et al., 1978; Gilmore et al., 2002; Schwartz et
al., 2006), wild Helianthus species (Seiler, 1992; Gulya et al., 2009) and in a Pisum core
collection (Porter et al., 2009). Several successful attempts have been reported to
introgress the resistance from the secondary gene pool of bean (Phaseolus vulgaris) into
the cultivated bean species through interspecific hybridization followed by backcrossing
(e.g., Schwartz et al., 2006; Singh et al., 2009). Introgression of genomic segments
responsible for resistance against Sclerotinia from wild to cultivated species of
sunflower has been attempted in the past (e.g., Ronicke et al., 2004; Feng et al., 2007).
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7
Despite the fact that the Brassicaceae family comprises a wide array of different
species, it is interesting that the only two wild crucifers, Erucastrum gallicum (Lefol et
al., 1997a; Seguin-Swartz et al., 1999) and, Capsella bursa-pastoris (Chen et al., 2007)
have been reported to show high levels of resistance against Sclerotinia. However, it
remains to be confirmed if the introgression of resistance against S. sclerotiorum from
E. gallicum into cultivated species was in fact been accomplished (Lefol et al., 1997a;
Lefol et al., 1997b; Seguin-Swartz and Lefol, 1999). Introgressive hybrids were
successfully obtained between different Brassica (B. rapa and B. napus) species and
Capsella bursa-pastoris (Chen et al., 2007), and there remains substantial potential to
identify other wild crucifers with high levels of resistance to Sclerotinia disease and for
its successful introgression to the cultivated species.
1.1.5 Screening techniques to identify resistant genotypes
Both field and controlled environment screening methods have been deployed in
various crop species to identify resistance against S. sclerotiorum. However, field
evaluation of Sclerotinia stem rot for selection of resistant cultivars often provides
highly variable results, as the responses of various genotypes are heavily dependent
upon the environment (Abawi and Grogan, 1979). Moreover, disease pressure may not
be uniform in field situations, which further complicates the phenotypic classification of
host genotypes. In addition, under field conditions, oilseed Brassica genotypes may
differ in their plant architecture and maturity, which frequently results in measuring of
disease escape rather than physiological resistance (Phillip et al., 1990). Even though
the stem inoculation method utilized by Buchwaldt et al. (2005) and Li et al. (2006) for
B. napus and Auclair et al. (2004a) for soybean is considered to be reliable, it still takes
considerable time, space and resources to evaluate large numbers of genotypes. In
contrast to field screening, resistance against S. sclerotiorum in greenhouse or
laboratory evaluation is more likely to be due solely to physiological resistance, with
little chance of involvement of disease escape mechanisms, as demonstrated previously
for soybean and/or other non-Brassica hosts by Grau and Bissonette (1974), Nelson et
al. (1991) and Vuong et al. (2004).
Various controlled environment screening methods have been used to evaluate
resistance in oilseed rape. These include cut petiole inoculation (Zhao et al., 2004;
CHAPTER 1
8
Bradley et al., 2006), detached leaf inoculation (Bailey, 1987; Bradley et al., 2006), and
an oxalic acid assay (Bradley et al., 2006). Although the petiole inoculation method
(Zhao et al., 2004; Bradley et al., 2006) has been reported to be a good method for
comparison of the level of resistance against S. sclerotiorum, there is not always a good
correlation with results obtained from field screening. For instance, Bradley et al.
(2006) reported that disease reaction of Brassica genotypes from a petiole inoculation
method were negatively correlated with yield (P = 0.038; r = - 0.58) and, results
obtained from detached leaf and oxalic acid tests were not correlated with the field
results. Moreover, inconsistent results have been reported across different test especially
with the genotypes having intermediate reactions to S. sclerotiorum. For example, Kim
et al. (2000) reported that resistance ratings for soybean cultivars having intermediate
reactions to S. sclerotiorum were inconsistent across different tests. Similarly, while Sun
(1995) reported consistent genotype performance for resistant and susceptible spring
type B. napus accessions, they found that accessions with intermediate ratings varied
depending upon the test method utilized. Even for soybean genotypes, only moderate
correlation values were reported between screening method using excised leaf
inoculations, detached leaf and oxalic acid assays and field reactions (Kim et al., 1999;
Wegulo et al., 1998). A brief summery of various green house screening methods that
have been utilized so far to identify resistance against S. sclerotiorum, are summarized
in Table 1.
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9
Table 1 An example of greenhouse/glasshouse screening methods deployed for various crop species to identify resistant reaction in response to S. sclerotiorum challenge.
S. No
Reference Technique Crops Methodology, Type of Inoculum
Gaps in the Knowledge/ Remark
Factor used: Leaf lesions 1 Bailey,1987;
Bradley et al., 2006; Kull et al., 2003; Li et al., 2005
Detached leaf assay
oilseed rape, soybean, dry bean
Mycelial plug from a 3 day old culture placed on the middle of detached leaf
Poor indicator of the field performance of the different genotypes
2 Leone and Tonneijck, 1990
Detached leaf assay
bean Ascosporic inoculum with KH2PO4 and glucose solution, Detached leaves from 21 days old cultivars inoculated with spore suspension
Not used with oilseed rape
3 Li et al., 2005 Leaves at seedling stage
oilseed rape (B. napus)
Seedlings inoculated with mycelial plug at five fully expanded leaf stage
5 Chen and Wang, 2005; Botha et al., 2009
Spray inoculation
soybean Homogenized mycelial suspension was evenly sprayed on the leaves of plants
6 Kull et al., 2003 Cotyledon inoculation method
soybean and dry bean
Cotyledon inoculation, 3 mm mycelial plug was placed on one cotyledon adjacent to stem
Not used with oilseed rape
Factor used: Stem lesions
7 Zhao et al., 2004; Hoffmann et al., 2002; Bradley et al., 2006
Petiole inoculation technique
oilseed rape, soybean
Petioles of the third fully expanded leaf were severed and placed into the agar plug colonized with the fungus
Possibility of measuring “Disease Escape “ as winter type brassicas showed more resistance as compared to spring type; mycelial plug was used
8 Vuong et al., 2004; Kull et al., 2003
Cut stem technique
soybean, sunflower, dry bean
Mycelial plug is placed on the main stem of plants severed with a razor blade on fourth or fifth node of 6-7 wk old seedling
More time and space is required, so it can’t be used for screening large number of genotypes
9 Bradley et al., 2006; Wegulo et al., 1998
Oxalic acid assay
oilseed rape, soybean
Seedlings at 3-4 leaf stage severed at bottom of the stem and placed in test tube having 5 ml of 40 mM oxalic acid
Method needs to be refined as no wilting or stem lesions were observed
Others 10 Whipps et al.,
2002 Soil-based screening method
lettuce Planting of seedling in potted soil infested with S. sclerotiorum
-
11. Madjid et al., 1983
lettuce Agar blocks colonized by Sclerotinia to infect lettuce plants
-
12. Block et al., 2009
Soil-based screening method
sunflower Soil with Sclerotinia-infested millet used as inoculum
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10
The above table indicates that there is a need to develop
1. A rapid greenhouse screening method for Brassica genotypes to facilitate large
scale rapid evaluation of germplasm similar to the cotyledon assay technique
deployed for soybean.
2. A glasshouse/greenhouse screening method for Brassica genotypes, the results
of which can be correlated with the field results.
3. A method that can give repeatable results across various screening tests. This
objective can possibly be achieved by defining the type and amount of inoculum
that suits these tests. It is also clear from the above table that in most cases
mycelial plugs were used as the inoculum base. Although use of mycelium as a
type of inoculum facilitates easy and fast screening, there are number of
problems associated with the use of mycelium plugs such as:
- the actual amount of hyphal inoculum used for screening can vary when
using colonized agar plugs as a food base.
- asynchronous initiation of lesion development can occur when colonized
agar plugs are used as an inoculum source (Chun et al., 1987).
1.1.6 Pathogenicity of S. sclerotiorum isolates
Although S. sclerotiorum is considered to exhibit little host specificity because it
releases various toxic compounds, considerable variation in both genetic diversity and
pathogenicity have been reported for this pathogen (e.g., Pratt and Rowe, 1991; Maltby
and Mihail, 1997; Hambleton et al., 2002; Kull et al., 2003; Auclair et al., 2004b;
Sexton et al., 2006). Similarly, numerous studies have also indicated that a single host
species may show considerable variation towards the different isolates of S.
sclerotiorum (e.g., Price and Colhoun, 1975; Kull et al., 2003; Otto-Hanson et al.,
2009). Literature indicates considerable contradiction not only in relation to the reaction
of genotypes towards different isolates of S. sclerotiorum, but also in relation to the
pathogenicity of several strains to a single host genotype. For instance, no significant
differences were reported in 35 North American isolates in relation to the
aggressiveness on potato (Atallah et al., 2004). In contrast, variation in virulence on
soybean among different isolates from North and South America was reported by Kull
et al. (2004). The observed differences could result from variation in screening method,
host genotypes, isolates or could also be because of different environmental conditions.
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11
These studies suggest that host genotypes should be tested across a range of S.
sclerotiorum isolates in order to identify the genotypes that show consistent resistance
responses, and for studies focused on host-pathogen interactions.
1.2 HOST-PATHOGEN INTERACTIONS
S. sclerotiorum is one of the most successful and lethal among destructive plant
pathogens. Even though a resistant genotype can be identified, there is always a
substantial risk of breakdown of resistance due to the development of new pathotypes,
especially because of the genetically diverse population that is known to exist for this
pathogen (e.g., Hambleton et al., 2002; Malvarez et al., 2007). A complex combination
of factors has been reported to determine the severity of disease caused by S.
sclerotiorum (e.g., Lumsden, 1979). These include the ability of this pathogen to
produce oxalic acid and various hydrolytic enzymes (e.g., Lumsden, 1979; Godoy et al.,
1990; Li et al., 2004a), which helps infection so rapidly that it does not give adequate
time for the host plant to fully engage the defence responses. So, it is imperative to
understand the host-pathogen interaction at cellular, biochemical or molecular levels to
determine effective mechanism(s) of resistance in order to develop more durable
resistance or to design effective integrated disease management measures (Lumsden,
1979). The following sections include some of the examples for studies undertaken at
cellular, biochemical and molecular levels against S. sclerotiorum in order to understand
the host-pathogen interactions and also to identify various gaps in knowledge that needs
to be addressed in order to enhance our understanding of mechanism of resistance
against this pathogen.
1.2.1 Host-pathogens interactions at the cellular level
Understanding of host-pathogen interactions at the cellular level is the first key step for
the identification of biochemical basis of resistance. Although, numerous studies report
the host-pathogen interactions at cellular level in compatible interaction, infection
processes associated with the disease resistant genotypes against S. sclerotiorum are
poorly characterised. A summary of some of the research undertaken to understand
host-pathogen interaction at cellular level is described in the following section.
CHAPTER 1
12
1.2.1.1 Host-pathogen interactions at the cellular level in compatible interaction
The pathogen-suscept relationship of S. sclerotiorum has been much studied since the
pioneering work of deBary (1886, 1887), when he first investigated the infection
process of this fungus. He observed the formation of appressoria from germinating
ascospores, and penetration dependence of the mycelium on nutrient status of the
inoculum. Subsequent studies undertaken with bean (Lumsden and Dow, 1971;
Lumsden and Dow, 1973; Abawi et al., 1975; Lumsden and Wergin, 1980; Sutton and
Deverall, 1983; Tariq and Jeffries, 1986), soybean (Sutton and Deverall, 1983), lettuce
(Tariq and Jeffries, 1984; Purdy, 1958), tomato (Purdy and Bardin, 1953; Purdy, 1958),
potato (Jones, 1976), pea (Huang and Kokko, 1992), sunflower (Sedun and Brown,
1987) as well as canola (Tariq and Jeffries, 1984; Jamaux and Spire, 1994; Jamaux et
al., 1995; Huang et al., 2008) investigated the detailed phases of the infection processes
in compatible interactions. These studies confirmed that an appropriate nutrient
substrate such as flower petals, injured or senescent plant tissue is required by the
germinating ascospores, both to establish a saprophytic phase, and for preparation
necessary for successful infection of healthy plants. Based on these observations,
different researchers either have used ascospores superimposed on flower petals or
colonized agar plugs as a nutrient source to investigate the infection processes of this
pathogen in various crops (Lumsden and Dow, 1973; Jones, 1976; Lumsden and
Wergin, 1980).
1.2.1.2 Host-pathogen interactions at the cellular level in incompatible interaction
In spite of a plethora of reports on the infection process of S. sclerotiorum in compatible
interactions, very few studies to date have addressed the interaction of the pathogen
associated with a resistant genotype at cellular or histological levels. These include
mainly those of Dow and Lumsden (1975) with bean (P. coccineus), of Rodriguez et al.
(2004) and Mondolot-Cosson and Andary (1994) with sunflower (Helianthus annus)
genotypes. Dow and Lumsden (1975) working with disease resistant tissues of P.
coccineus reported several stages of the infection process that were strikingly different
from those of the susceptible P. vulgaris genotype such as, penetration of the cuticle of
the resistant genotype was often impeded, secondary infection cushions developed
mainly under the cuticle and adjacent to the epidermis, and growth of the infection
hyphae (large diameter hyhae that move rapidly beneath the cuticle or intercellularly in
CHAPTER 1
13
the cortex of the susceptible genotype) were often smaller, distorted and restricted to the
cortex region instead of being subcuticular. Similarly, anatomical investigations by
Rodriguez et al. (2004) of sunflower showed cell collapse, changes in cell wall
composition and increase in phenolics compounds compared to the susceptible
genotype. Pre-existent histological structure such as cortical sclerified fiber cells, and
induced caffeoylquinic compounds, are considered to be responsible for the
incompatible interaction in a wild species of sunflower (Helianthus resinosus)
(Mondolot-Cosson and Andry, 1994). However, no attempt has been made with
Brassica genotypes resistant to S. sclerotiorum, to date.
1.2.2 Host-pathogen interactions at the biochemical or molecular level
Defence responses of various host species in response to infection by S. sclerotiorum is
poorly characterized at the molecular level, despite a number of the studies that have
focused on identifying various virulent factors released by S. sclerotiorum.
Investigations at the biochemical or molecular level to understand the mechanism of
resistance against S. sclerotiorum thus becomes immensely important in order to
develop effective disease control measures. Differentially expressed genes in response
to the pathogen challenge will not only provide information on the physiological or
molecular basis of resistance, but it may also lead to the strategic engineering of
effective resistance against this pathogen (Calla et al., 2009). Further, it can also help in
the identification of candidate genes for QTL mapping or development of molecular
marker linked to disease resistance. A brief account of the various virulent factors such
as the role of oxalic acid and various cell wall degrading enzymes, and associated
strategies employed to understand/engineer the defence responses against them is
presented in the following section.
1.2.2.1 Role of Oxalic acid
Several studies demonstrate the role of oxalic acid produced by S. sclerotiorum as an
essential determinant of pathogenicity (e.g., Lumsden, 1979; Margo et al., 1984 Godoy
et al., 1990). It has been suggested that oxalic acid released by this pathogen and other
fungi such as Sclerotium rolfsii cause tissue destruction by mainly three mechanisms; 1)
it reduces the pH of the infected tissue which favours the activity of several fungal
enzymes secreted during the invasion of host tissue (e.g., Marciano et al., 1983; Cessna
CHAPTER 1
14
et al., 2000); 2) it sequesters calcium from the cell walls of the plant tissue to form
calcium oxalate, before the middle lamella can be enzymatically degraded (e.g., Punja et
al., 1985; Thompson et al., 1995; Smith et al., 1986); and (3) it can be directly toxic to
the host genotype mainly because of its acidic properties, which can weaken the plant
tissues and facilitate invasion by S. sclerotiorum (Noyes and Hancock, 1981). Oxalic
acid is also shown to suppress the oxidative burst (Cessna et al., 2000), to impact guard
cell function (Guimaraes and Stotz, 2004), and to induce plant programmed cell death
that can assist the pathogen during disease development (Kim et al., 2008). A number of
studies thus have focused on understanding the mechanism of resistance of the host
plant or to engineer resistance in host tissue against oxalic acid. For instance, many crop
species such as Glycine max (Donaldson et al., 2001), Helianthus annus (Hu et al.,
2003), Nicotiana sp. (Walz et al., 2008) and B. napus (Thompson et al., 1995; Dong et
al., 2008) have been engineered to over express the oxalate oxidase gene (that is
responsible for oxidation of oxalic acid to CO2 and H2O2) in order to enhance the
tolerance against oxalic acid. More recently, a proteomic approach has also been
utilized by Liang et al. (2009) to identify the stress responses of B. napus genotypes to
oxalic acid secreted during the infection of S. sclerotiorum.
1.2.2.2 Cell wall degrading enzymes
S. sclerotiorum produces a wide array of cell wall degrading enzymes such as
pectinolytic, cellulolytic and proteolytic enzymes with different substrate specificity,
which facilitates colonization by the pathogen of the host tissue (e.g., Lumsden, 1976;
Riou et al., 1991; Poussereau et al., 2001; Li et al., 2004a). Of these pectinolytic
enzymes various isoforms of polygalacturonase (PG) that differ in their pIs and catalytic
properties and are sequentially secreted by S. sclerotiorum during its saprophytic as well
as pathogenic growth, have received much attention (e.g., Martel et al., 1998; Cotton et
al. 2003; Li et al., 2004b). A number of studies thus have focused towards cloning and
characterization of both endo- and exo PGs secreted by S. sclerotiorum (e.g., Waksman
et al., 1991; Li et al., 2004a; Favaron et al., 2004). To counteract the fungal PG activity,
plants are known to synthesize a class of cell wall associated proteins called
polygalacturonase inhibitory proteins (PGIPs) (De Lorenzo and Ferrari, 2002). PGIPs
are reported in a variety of dicotyledonous plants and in the pectin-rich monocotyledon
plants and comprise an important component of the plant defence system (De Lorenzo
CHAPTER 1
15
et al., 2001). For instance, Favaron et al. (1994, 2004) demonstrated that PGIPs isolated
from soybean display differential and inhibitory activity towards endoPGs secreted by
S. sclerotiorum. Moreover, P. vulgaris PGIP was also shown to prevent programmed
cell death, which was induced by S. sclerotiorum endoPGs (Zuppini et al., 2005).
Recently, PGIPs have also been characterized in the B. napus genome that were
differentially expressed in response to S. sclerotiorum infection, wounding and defence
hormone treatment (Hegedus et al., 2008). In addition to cell wall degrading enzymes,
other enzymes such as brassinin glucosyltransferase (that can detoxify phytoalexins)
released by the fungus to counteract the plant defence mechanism (Sexton et al., 2009)
or the genes encoding necrosis and ethylene-inducing peptides from this pathogen
responsible for cell death have also been reported (Bashi et al., 2010).
1.2.2.3 Various genomic approaches deployed to identify mechanism of resistance
against S. sclerotiorum
A few genomic based approaches/studies have been deployed for detailed investigations
of changes in gene expression profiles mediating the host responses to infection by S.
sclerotiorum. These include a study by Li et al. (2004), where more than 2232
expressed sequence tags (ESTs) were generated from two cDNA libraries of fungal
genes expressed during mycelial growth in a pectin medium or from infected tissues of
B. napus stems, identifying a number of genes associated with fungal pathogenesis.
Subsequently, four main studies based on different microarray platforms were
conducted to investigate the B. napus responses to S. sclerotiorum. Of these, three were
focused on the molecular basis of defence where gene expression changes associated
with S. sclerotiorum infection in a partially resistant and a susceptible genotype of
oilseed B. napus were investigated using either a cDNA microarray (Liu et al., 2005) or
a oligonucleotide platform (Zhao et al., 2007, 2009). Yang et al. (2007) investigated
genes responsible for mediating plant responses to the pathogen by comparing the leaf
tissues of a inoculated vs. non-inoculated susceptible B. napus genotype. Microarray
screening has also been conducted in a partially resistant and a susceptible genotype of
soybean to identify genes responsible for defence responses against S. sclerotiorum
(Calla et al., 2009). More recently, quantitative RT-PCR approach was utilized by Yang
et al. (2009) to examine the expression of five orthologs of B. napus genes involved in
defence signaling pathway in response to S. sclerotiorum challenge.
CHAPTER 1
16
1.2.2.4 Proteomic approach to define resistance mechanisms
Proteomic analysis is considered to be a powerful tool to study plant-pathogen
interaction such as those involving 2-DE techniques by which differentially expressed
proteins induced in response to the pathogen challenge or in various biotic and abiotic
stress conditions can be identified (Colditz et al., 2007; Sharma et al., 2008). This
technique is a valuable complement for investigations into plant-pathogen interactions
at the molecular level especially because it provides the continuity between genome
sequence information and the protein profile, which in turn gives an indication of the
possible biochemical pathways (Mehta et al., 2008). A poor correlation between mRNA
transcript level and protein abundance reported in different studies further necessitates
the use of such genomic approaches (Gygi et al., 1999; Carpentier et al., 2008),
especially in the B. napus-S. sclerotiorum pathosystem where defence mechanisms are
poorly understood.
It is interesting that most of the information in relation to molecular events occurring in
the incompatible interaction in the B. napus-S. sclerotiorum pathosystem has come
predominantly from the microarray analysis. However, protein profiles of compatible
interaction of B. napus-S. sclerotiorum has already been explored and several proteins
such as those related to photosynthesis and metabolic pathways, protein folding and
modifications, hormone signaling, and antioxidant defence were identified (Liang et al.,
2008). Similarly, proteomic approach has also been utilized to identify the responses of
a B. napus genotype in response to oxalic acid (Liang et al., 2009), as well as of fungal
mycelia of S. sclerotiorum and its secretome (Yajima and Kav, 2006). However, there is
no such study in which a proteomic approach has been deployed for the incompatible
interactions of S. sclerotiorum with any resistant Brassica host. Utilization of such
approaches in incompatible interaction of B. napus and S. sclerotiorum system will
provide the information on mechanisms of resistance at both biochemical and molecular
levels, and subsequently assists with developing durable resistance against this
pathogen.
More detailed review of the literature relevant directly to this thesis is included in the
Introduction and Discussion sections of the chapters to follow.
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17
1.3 GAPS IN KNOWLEDGE
� Relating to lack of adequate and durable resistance
• Lack of a rapid and reliable method of screening in B. napus genotypes
against S. sclerotiorum that correlates with the field results.
• Inadequate sources of resistance among B. napus genotypes in current
commercial oilseed cultivars.
• Only two wild crucifers have been reported having resistance against S.
sclerotiorum, despite the existence of a wide array of germplasm in
Brassicaceae.
� Relating to poorly characterized resistance mechanisms in B. napus genotypes
against S. sclerotiorum
• No studies to date have been undertaken to define in detail the infection
processes of S. sclerotiorum in disease resistant tissues of B. napus.
• No proteomic approach has been utilized to identify the mechanisms of
resistance in B. napus genotypes against S. sclerotiorum to date
1.4 RESEARCH QUESTIONS
The overall aim of this thesis was to identify sources of resistance and to understand the
mechanisms of resistance in B. napus against S. sclerotiorum. To address this, specific
aims of the thesis were focused upon the following detailed questions:
� Identification of sources of resistance
• Can a rapid and reliable method be designed for genotypes of Brassica
spp. that can identify resistance responses against S. sclerotiorum? What
could be the type and quantity of inoculum or stage of inoculation that
can lead to the development of a suitable technique? Will a new
greenhouse method correlate to the reactions of Brassica spp. under field
conditions? Is there any source(s) of resistance within the cultivated
CHAPTER 1
18
species of B. napus against S. sclerotiorum and can that be identified
using the new method developed?
• Will the new sources of resistance (to be identified) give consistent
responses across the range of S. sclerotiorum isolates?
� To understand the mechanism of resistance
• What are the anatomical changes in inoculated tissues associated with
symptom expressions and suppressions in resistant vs. susceptible
genotypes infected with S. sclerotiorum?
- What are the infection processes that are affected in a disease
resistant genotype when ascospores are used as inoculum
sources (the inoculum by which various stages of infection
and expression of host resistance can be finely monitored)
- What are the infection processes that are affected in disease
resistant genotype when macerated mycelium will be used as
an inoculum source? Will the infection processes following
inoculation with ascospores be the same as when macerated
mycelium is used as the source of inoculum?
• What are the different kinds of proteins that can mediate resistance
responses in a B. napus genotype in responses to a challenge from S.
sclerotiorum?
� Can wild Brassica species provide a better sources of resistance against S.
sclerotiorum or can wild species broaden the existing genetic pool of sources of
resistance against S. sclerotiorum.
1.5 THESIS STRUCTURE
This thesis is in accordance with the postgraduate and research scholarship regulation
1.3.1.33(1) of the University of Western Australia, and is presented as a series of
scientific papers with a combination of manuscripts that have either been published or
submitted for publication. The eight main chapters of the thesis consist of an
introductory account and background of the research (Chapter 1), followed by six
CHAPTER 1
19
chapters, which are in the format of the six scientific papers (Chapter 2-7) and lastly a
general discussion chapter (Chapter 8) that concludes the thesis. Chapter 2 and 3 are
related to the one research question viz. identification of resistant genotype in B. napus
in response to S. sclerotiorum infection. Similarly, chapter 4, 5 and 6 share the objective
of defining the mechanism of resistance in B. napus genotypes in response to S.
sclerotiorum infection. However, chapter 7 extends the overall horizon of this study to
wild crucifers to identify high levels of resistance against this pathogen. The first
research question makes the foundation for the second research question in terms of
identifying a resistant genotype first, so that the studies related to the mechanisms of
resistance can be conducted. These six chapters can be read either as a part of the whole
thesis, or as separate entities. Each of these chapters contains an independent
Introduction, Literature Review, Methods, Results and Discussion sections and
therefore some overlap, especially in the methodology section of chapter 2 and 3 or 5
and 6 is unavoidable as they are based on closely related research questions. A brief
account of each chapter is outlined below:
Chapter 1: The first chapter includes the introduction to the topic, scope and purpose of
the research, and a brief review of the work that has already been undertaken in this
direction. This chapter focuses on identifying gaps in the existing knowledge and set out
the fundamental research questions to be addressed in the thesis.
Chapter 2: The second chapter presents, for the first time, the development of a
cotyledon assay as a rapid and reliable screening method to screen B. napus genotypes
against S. sclerotiorum. Type and amount of inoculum that can reliably differentiate B.
napus genotypes are defined. This assay was also shown to provide a relatively reliable
indication of field performance of the B. napus genotypes. A set of B. napus germplasm
was screened with this method and reactions of these genotypes in relation to S.
sclerotiorum infection were identified. The basic approach of this chapter was to
develop a rapid and reliable method that can identify resistant genotype, which
addresses the first research question of this thesis.
Chapter 3: This chapter evaluates the pathogenicity of morphologically different
isolates of S. sclerotiorum with the selected genotypes of B. napus (Chapter 2) in
CHAPTER 1
20
addition to the previously field evaluated B. juncea genotypes. The chapter presents for
the first time the identification of darkly pigmented colonies of S. sclerotiorum in
Australia. The basic aim of this chapter is to identify a B. napus genotype with
consistent resistant responses across a range of S. sclerotiorum isolates (as a
considerable variation of this pathogen has been reported under field conditions). A
genotype with consistent resistant responses (in addition to susceptible genotype as a
control comparison) identified in this study was used to address the next research
question of this thesis i.e. to define the mechanism of resistance in B. napus in response
to S. sclerotiorum infection.
Chapter 4: The focus of the second research question is to understand mechanisms of
resistance in the selected B. napus genotype in response to S. sclerotiorum infection.
The basic aim of the work reported in this chapter was thus to produce ascospores
(which are responsible for primary infection under natural conditions), to monitor
various stages of infection processes of this pathogen (with an appropriate type and
amount of a nutrient base) with this inoculum source. This chapter focuses on
evaluating a set of various environmental factors/conditioning treatments that can
enhance carpogenic germination of S. sclerotiorum. A reliable method for carpogenic
germination of sclerotia of S. sclerotiorum was identified.
Chapter 5: This chapter focuses on understanding of mechanism of resistance at the
histological level, in a resistant B. napus genotype (identified in chapter 3) by using
ascosporic inoculum (Chapter 4). This chapter details for the first time the infection
processes of S. sclerotiorum that are affected in cotyledon tissue of the resistant B.
napus genotype. Various resistance mechanisms that confer the retardation of
development of this pathogen within a B. napus cv. Charlton were identified and
discussed.
Chapter 6: The aim of the studies reported in this chapter was also to understand the
mechanism of resistance, but mainly at a biochemical level. A comparative proteomic
approach was utilized by which differentially expressed proteins associated with
incompatible and compatible interactions of the B. napus-S. sclerotiorum pathosystem
were identified. The screening method developed in chapter 2, and resistant and
CHAPTER 1
21
susceptible genotypes of B. napus identified in chapter 3 were used to conduct this
study. Details of infection processes of S. sclerotiorum on the same resistant and the
susceptible genotypes with the same screening method (mycelial inoculum source) were
included to relate them to the changes in the proteins observed. This study presents for
the first time various proteins that can mediate resistance responses in a selected B.
napus genotype.
Chapter 7: This chapter reports for the first time the high level of resistance to S.
sclerotiorum in introgression lines derived from hybridization between wild crucifers
and the crop Brassica species B. napus and B. juncea. The aim of this chapter was to
again extend the first research question (i.e. identification of resistant genotype) with a
focus on wild Brassica species in order to evaluate whether the wild Brassica species
provide a better source of resistance against S. sclerotiorum.
Chapter 8: The final chapter includes a brief summary of the results and overall
discussion of the issues raised in the thesis with some concluding remarks. This chapter
also highlights the further work that can be undertaken in Sclerotinia research, as a
result of this thesis.
CHAPTER 2
22
CHAPTER 2 Cotyledon Assay as a Rapid and Reliable Method of Screening for Resistance against Sclerotinia sclerotiorum in Brassica napus Genotypes
2.1 ABSTRACT
Sclerotinia sclerotiorum is a major pathogen of many crops, including oilseed rape
(Brassica napus), and there is keen interest worldwide to identify Brassica genotypes
with resistance to this pathogen. However, field testing to identify resistance in B. napus
germplasm is expensive, time consuming and at times unreliable due to variability in
field environmental conditions and plant architecture. To address this, the feasibility of
utilizing a cotyledon test already developed for Sclerotinia disease on legumes was
examined for B. napus. Initially, cotyledons of 32 B. napus genotypes were drop-
inoculated using macerated mycelium (1 x 104 mycelial fragments mL-1) under
controlled environmental conditions. Significant differences were recorded between B.
napus genotypes, and the experiment was repeated twice using genotypes selected from
the first experiment. Certain genotypes responded with a distinct hypersensitive reaction
(lesions <1 mm diameter), either always (cv. Mystic) or frequently (cv. Charlton),
which is the first report for this phenomenon in the B. napus-S. sclerotiorum
pathosystem. Responses of genotypes between the three screening experiments were
significantly and positively correlated. Results obtained in the first experiment were
compared with those from the earlier field screening for stem rot that utilized the same
strain of S. sclerotiorum and the same B. napus genotypes. In particular, there was a
significant positive correlation (r = 0.62, P < 0.01) between published field data for
stem rot with the cotyledon test results across genotypes in common. This indicates the
usefulness of this cotyledon assay to provide a relatively reliable indication of field
performance of genotypes. This is the first report demonstrating that a cotyledon assay
can be successfully applied to rapidly differentiate the reactions of B. napus genotypes
against S. sclerotiorum.
CHAPTER 2
23
2.2 INTRODUCTION
Sclerotinia stem rot, caused by the fungus Sclerotinia sclerotiorum is one of the most
serious and damaging diseases of oilseed rape (Brassica napus) (McCartney et al.,
1999) and yield losses as high as 24% have been recorded under Australian conditions
(Hind- Lanoiselet, 2004). Various methods used for managing S. sclerotiorum include
cultural control, chemical control and varietal resistance (Bardin and Huang, 2001).
Chemical control in managing this disease is often ineffective, largely due to difficulty
in timing the application with the release of ascospores (Bolton et al., 2006), especially
in Australia where petal infection can be a poor indicator of subsequent stem infection
levels (Hind et al., 2003). Cultural practices tend to avoid or reduce the severity of
Sclerotinia stem rot, but none effectively controls S. sclerotiorum on its own. Selection
of host resistance is the only economic and sustainable means of managing this disease
(Zhao et al., 2004). However, host resistance works best when used in conjunction with
cultural practices: (i) practices involving crop rotation (Williams and Stelfox, 1980); (ii)
practices that increase row spacing and decrease seeding rate (Hoes and Huang, 1975);
and (iii) practices that discourage apothecial production and ascospore release, such as
maintaining high irrigation to increase rotting of sclerotia (Teo et al., 1989) or burning
of crop residues (Hind-Lanoiselet et al., 2005).
Field evaluation of Sclerotinia stem rot for selection of resistant cultivars often provides
highly variable results as the responses of various genotypes are heavily dependent upon
the environment (Abawi and Grogan, 1979). Moreover, disease pressure may not be
uniform in field situations, which further complicates the phenotypic classification of
host genotypes. In addition, under field conditions oilseed Brassica genotypes may
differ in their plant architecture and maturity, which frequently results in measuring
disease escape rather than physiological resistance in field screening experiments
(Phillip et al., 1990). In contrast to field screening, resistance against S. sclerotiorum in
greenhouse or laboratory evaluation is more likely to be due solely to physiological
resistance, with little chance of involvement of disease escape mechanisms, as
demonstrated previously for soybean and/or other non-Brassica hosts by Grau and
Bissonette (1974), Nelson et al. (1991) and Vuong et al. (2004).
CHAPTER 2
24
Various controlled environment screening methods have been used to evaluate
resistance in oilseed rape. These include cut petiole inoculation (Zhao et al., 2004;
Bradley et al., 2006), detached leaf inoculation (Bailey, 1987; Bradley et al., 2006), and
an oxalic acid assay (Bradley et al., 2006). Although the petiole inoculation method
(Zhao et al., 2004; Bradley et al., 2006) has been reported to be a good method to use to
compare the level of resistance against S. sclerotiorum, there is not always a good
correlation with results obtained from field screening. For example, Kim et al. (2000)
reported that resistance ratings for soybean cultivars having intermediate reactions to S.
sclerotiorum were inconsistent across different tests. Similarly, while Sun (1995)
reported consistent genotype performance for resistant and susceptible spring type B.
napus accessions, they found that accessions with intermediate ratings varied depending
upon the test method utilized. While Bradley et al. (2006) reported that disease reaction
of Brassica genotypes from a petiole inoculation method were negatively correlated
with yield (P = 0.038; r = - 0.58), results obtained from detached leaf and oxalic acid
tests were not correlated with field results. Even for soybean genotypes, only moderate
correlation values were reported between screening method using excised leaf
inoculations, detached leaf and oxalic acid assays and field reactions (Kim et al., 1999;
Wegulo et al., 1998).
A cotyledon test has been used by some researchers to identify resistance to S.
sclerotiorum in genotypes of soybean (e.g., Grau and Bissonette, 1974; Hartman et al.,
2000; Kim et al., 2000; Kull et al., 2003) and alfalfa (Pratt and Rowe, 1998). Kim et al.
(2000) reported that responses in greenhouse experiments to agar plugs or oat seed
infested with the mycelium applied onto cotyledons were correlated with field screening
results for soybean. Clearly, there is potential to develop a cotyledon test method for B.
napus genotypes, which can also address many of the constraints listed above.
Furthermore, a more reliable screening technique for B. napus-S. sclerotiorum
pathosystem is needed which can rapidly predict the responses of genotypes in field
while producing consistent results across repeated experiments. To address these
concerns, the feasibility of utilizing a cotyledon test to predict the field reaction of B.
napus genotypes against S. sclerotiorum was examined.
CHAPTER 2
25
2.3 MATERIALS AND METHODS
2.3.1 S. sclerotiorum isolate
A single isolate of S. sclerotiorum (MBRS1; University of Western Australia Culture
Collection Number WUF2004.1) was used. This isolate was collected from Mount
Barker Research Station in Western Australia (WA) in 2004 and this same isolate had
been used previously by Li et al. (2006) to evaluate responses of B. napus and B. juncea
genotypes to S. sclerotiorum in the field in WA. This isolate was selected on the basis of
its virulence and the fact that it was isolate from a site where there was significant
disease.
2.3.2 Test conditions
All screening test lines were on B. napus genotypes grown in 13.7 x 6.6 x 4.9 cm trays,
each having eight cells and containing a soil-less compost mixture. Groups of four trays
were placed in 10 L plastic storage boxes (34 x 13 x 23 cm). Three seeds of each
genotype were sown in each cell and thinned to a single seedling per cell after
emergence. A complete randomized block design was utilized with four replications and
two plants per genotype per replication. All experiments were conducted under
controlled environment growth room conditions of 18 ± 1oC during the day and 14 ±
1oC at night (12 hours light/dark cycles), with light intensity of 150 µE m–2 s–2.
Seedlings were grown until cotyledons were fully expanded, equivalent to growth stage
1.00 on the scale given by Sylvester-Bradley and Makepeace (1984).
2.3.3 Genotypes tested
Three separate experiments were conducted using the cotyledon inoculation method. In
experiment 1, 11 B. napus genotypes from China and 21 B. napus genotypes from
Australia, as listed in Table 1, were tested to represent various levels of resistance or
susceptibility identified by Li et al. (2006). Seed was obtained from Australia and China
through an Australian Centre for International Agricultural Research (ACIAR)
collaborative program. Twelve of these same genotypes were selected on the basis of
performance in experiment 1 for use in experiment 2, with the genotypes ranging from
most resistant to most susceptible to the disease, and retested in experiment 2 to confirm
the results of experiment 1. In experiment 3, six of the same genotypes from
CHAPTER 2
26
experiments 1 and 2 were further selected on the basis of performance in experiments 1
and 2 in order to confirm the reliability of the genotype responses to S. sclerotiorum.
2.3.4 Inoculum production
A single sclerotium of S. sclerotiorum isolate MBRS1 was surface sterilized in 1% v/v
sodium hypochlorite and 70% ethanol for 4 min followed by two washes in sterile
distilled water for 1 min as described by Clarkson et al. (2003). The sclerotium was cut
in half and placed on Potato Dextrose Agar (PDA). S. sclerotiorum was sub-cultured
and maintained in an incubator at 20oC on PDA. Seven agar plug discs (each 5 mm2
diam) were cut from the actively growing margin of a 3 day-old colony and transferred
to a 250 mL flask containing 75 mL of sterilized liquid media (Potato Dextrose Broth
24 g, Peptone 10 g, H2O 1 L ). Flasks were rotated on an Innova 2300 platform shaker
(New Brunswick Scientific, Edison, NJ) at 120 rpm/min. After 3 days, colonies of S.
sclerotiorum were harvested and washed twice with sterilized deionised water. The
fungal mats obtained were transferred to approximately 125 mL of the same liquid
medium and mycelia macerated in a Breville® food grinder for 3 min. The macerated
mycelial suspension was then filtered through 4 layers of cheese cloth and the
concentration was adjusted to 104 fragments mL-1 using a haemocytometer
(SUPERIOR®, Berlin, Germany) with the same liquid media.
2.3.5 Inoculations
Inoculations were carried out when cotyledons were 10-days old. A total of four
droplets of mycelial suspension of 10 µl were deposited on every seedling using a
micro-pipette, with a single drop on each cotyledon lobe. While inoculating, the
mycelial suspension was shaken regularly to maintain the homogenous mixture of
mycelial suspension. A 2.5 cm deep layer of water was added at the bottom of the boxes
to help maintain a high level of humidity. In addition, a very fine mist of water was
sprayed both over cotyledons and on the inside of the container lids. Together, these
procedures allowed maintenance of a relative humidity level of at ca. 100% within the
boxes. Following inoculation, the boxes were placed under the benches in the controlled
environment room and maintained at a low light intensity of approximately 13 µE m–2
s–1 for 4 days up to time of disease assessment.
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27
2.3.6 Disease assessment
Typical hypersensitive and/or necrotic and water soaked lesions were apparent by 1-2
days post-inoculation (dpi). At 4 dpi, box covers were removed and lesions assessed on
the basis of lesion diameter (mm). All lesion diameters were measured using a linear
ruler.
2.3.7 Data analyses
Verification of various assumptions of normality and homogeneity of variance required
for parametric analyses (before the actual analysis was carried out), and analysis of
lesion rating data from experiment 1 (single factor analysis of variance) were performed
using GENSTAT (9th edition, Lawes Agricultural Trust). Fishers least significant
differences (l.s.d) at P = 0.05 significant level was used to calculate the differences
between the genotypes. Regression analysis was undertaken using GENSTAT to
determine the relationship between the cotyledon responses obtained with the stem
lesion lengths with those found for the same genotypes when tested earlier by Li et al.
(2006) under WA field conditions. The relationships between experiments 1, 2 and 3
were assessed by computing correlation coefficients using the data analysis function in
Microsoft Excel.
2.4 RESULTS
2.4.1 Experiments 1, 2 and 3
Experiment 1 was the initial screening of 32 genotypes, experiment 2 was a
confirmation test of experiment 1 on selecting 12 of these genotypes, while experiment
3 was again a confirmation trial but restricted to six genotypes. Typical necrotic and/or
water-soaked lesions appeared on cotyledons of susceptible genotypes inoculated with
S. sclerotiorum (Fig. 1). The type, size and severity of lesions on cotyledons varied
between the genotypes, ranging from small necrotic hypersensitive lesions <1.6 mm, to
the other extreme where entire cotyledons collapsed and were covered with white
cottony mycelial growth. It is noteworthy that hypersensitive lesions <1 mm were
observed on genotypes Mystic and Charlton. There were significant differences (P ≤
0.001) between the different genotypes in relation to severity of cotyledon lesions by 4
dpi (Table 1). Genotypes Mystic and Charlton from Australia with mean lesion
CHAPTER 2
28
diameters ≤ 1.6 and Zhongyou-za No.8 and Ding 474 from China with mean lesion
diameters ≤ 3.8 were found to be most resistant. In contrast, Australian genotypes
TQ055-02W2, AV-Sapphire, Surpass 400, Rivette were found to be most susceptible.
All had mean lesion diameters ≥ 9.1. Generally, where lesions were in the 11-13 mm
diameter range the cotyledons totally collapsed from disease development.
Although there were small differences in lesion size on individual genotypes across the
different experiments, the relative rankings of genotypes were similar across the three
experiments, with Mystic and Charlton being the most resistant, AV-Sapphire and
Rivette very susceptible and RQ001-02M2 with an intermediate reaction (Table 2).
There was significant positive correlation between the cotyledon lesion diameter across
the genotypes between experiments 1 and 2 (r = 0.92; P < 0.001; n = 12); between
experiments 1 and 3 (r = 0.93; P < 0.001; n = 12); and between experiments 2 and 3 (r
= 0.96; P < 0.001; n = 6).
Figure 1 Typical hypersensitive (far right cotyledon) and/or necrotic and water soaked lesions of various diameters as assessed 4 days post-inoculation following inoculation of Brassica napus cotyledons with washed macerated mycelium of Sclerotinia sclerotiorum. The genotypes represented, in order from the left, are as follows: 1 = TQ055-02W2; 2 = Rivette; 3 = RR005; 4 = P617; 5 = Ding474; and 6 = Charlton
2.4.2 Correlation of experiment 1 cotyledon test results with field ratings of Li et al.
(2006)
There was significant positive correlation of genotype ratings of lesions on cotyledons
in experiment 1 (4 dpi) with stem lesion length in the previous field trial (3 weeks after
inoculation) published by Li et al. (2006) (r = 0.62; P < 0.001, n = 32) (Fig. 2). This
relationship accounted for approximately 38% of the total variation, it was noted that
the two most resistant genotypes identified in the cotyledon test both showed
intermediate reactions in the field stem test where there was no artificial control of
environmental conditions.
CHAPTER 2
29
Table 1 Reaction to Sclerotinia sclerotiorum of 32 Brassica napus genotypes from Australia and China in terms of stem lesion length 3 weeks after inoculation in field screening (data taken from Li et al., 2006) and in terms of the diameter of lesions 4 days after inoculation on the cotyledons in experiment 1 undertaken under controlled environment conditions.
Genotypes
Origin
Field stem test
Cotyledon test
Fan168 China 3.15 4.98
RR002 Australia 3.48 4.79 AG-Spectrum Australia 3.65 4.34 Oscar Australia 4.10 6.87 Lantern Australia 4.12 6.57 Fan 028 China 4.77 4.37 Zhongyou-za No.8 China 4.79 2.84 BST7-02M2 Australia 4.87 7.09 Zhongshu-ang N0.4 China 5.07 6.35 Ding474 China 5.25 2.81 Mystic Australia 5.53 0.58 RQ011 Australia 5.78 3.81 Charlton Australia 5.80 1.60 Ding110 China 5.89 3.78 P617 China 6.00 5.72 AG-Outback Australia 6.02 7.90 Fan 023 China 6.02 6.83 RR009 Australia 6.15 7.55 P3083 China 6.23 5.95 Yu 178 China 6.23 7.57 AV-Sapphire Australia 6.62 9.37 Surpass 400 Australia 6.65 9.13 Tranby Australia 6.8 7.96 Qu1104 China 6.93 7.02 Skipton Australia 7.10 8.40 Trigold Australia 7.18 7.10 Rainbow Australia 7.20 6.39 RR001 Australia 7.65 7.14 RR005 Australia 7.75 8.00 RQ001-02M2 Australia 8.69 8.31 TQ055-02W2 Australia 9.34 12.82 Rivette Significance l.s.d. (P < 0.05) =
Australia
10.39
9.63 P < 0.001 1.47
2.5 DISCUSSION
This is first report in which a cotyledon assay has been utilized to differentiate and
characterize the responses of any genotypes of Brassica species to S. sclerotiorum. The
varying lesion size on cotyledons between the different genotypes was found to be a
CHAPTER 2
30
reliable indicator of B. napus genotype resistance to S. sclerotiorum. The cotyledon
inoculation technique was successful in differentiating the reaction of the B. napus
genotypes against S. sclerotiorum. Typical necrotic and water soaked lesions appeared
on susceptible genotypes as early as 1-2 dpi. Some of the most susceptible genotypes
were covered with white mycelial growth by 4 dpi. More resistant genotypes showed a
small lesion confined to the size of the inoculum droplet. The most resistant genotypes
showed only very small necrotic flecks depicting a hypersensitive lesion that were also
always contained within the confines of the inoculated area. This is the first report of a
hypersensitive reaction in this B. napus-S. sclerotiorum pathosystem. The absence of a
hypersensitive reaction in the field, despite expression of resistance, may be due to
uncontrolled environmental conditions which may be more conducive for disease
development in the field.
The high degree of reliability of the cotyledon assay was evident from the high
correlation coefficient values between experiments 1, 2 and 3 (all with r > 0.90).
Although there were some small differences in absolute lesion sizes for one or more of
the same genotypes across different experiments, the overall relative rankings of the
genotypes against S. sclerotiorum showed similar trends with Mystic and Charlton
being the most resistant, AV-Sapphire and Rivette being very susceptible and RQ001-
02M2 having an intermediate reaction. Although genotypes with intermediate reactions
were difficult to characterize in some previous studies on soybean conducted by Kull et
al. (2003) and by Sun (1995), results in the present study showed that even genotypes
with intermediate reaction to S. sclerotiorum could readily and consistently be
characterized with the developed cotyledon assay. Moreover, even where cotyledon
assays had been utilized previously on other non-Brassica crops and compared with
other methods of assay, correlation between the cotyledon assay and other methods such
as the cut stem method for soybean (r = 0.54, P ≤ 0.05) and dry bean (r = 0.54, P ≤
0.05) were much less significant as compared with this study.
The cotyledon assay developed in the present study is an efficient, rapid and
inexpensive method of screening B. napus genotypes for resistance to S. sclerotiorum.
It takes only a total of 16 days to assess the responses of genotypes using this method
compared with up to 3-4 months when other methods such as the stem inoculation
CHAPTER 2
31
technique are utilized. Although there are detached leaf assays on B. napus that also are
rapid, these often have poor correlation with field performance of the same genotypes
(Bradley et al., 2006). It is apparent that a large number of B. napus genotypes can be
subjected to preliminary screening using the developed cotyledon method in this study
in a comparatively small time frame.
Table 2 Reaction to Sclerotinia sclerotiorum of 12 Brassica napus genotypes from Australia and China in terms of the diameter of lesions 4 days after inoculation on the cotyledons in experiments 1, 2 and 3 undertaken under controlled environment conditions.
Genotype
Expt 1
Expt 2
Expt 3
Fan168 4.98 5.65 -* AG-Spectrum 4.34 6.15 - Zhongyou-za No.8 2.84 4.87 - Mystic 0.58 1.54 3.36 Charlton 1.58 1.07 2.16 P617 5.72 7.00 5.71 P3083 5.95 7.54 - AV-Sapphire 9.37 9.90 10.36 Tranby 7.96 6.31 - RR005 8.00 9.03 - RQ001-02M2 8.31 7.34 6.33 Rivette Significance (P<) l.s.d. (P<0.05) =
9.63 0.001 1.47
9.68 0.001 1.93
10.34 0.001 2.55
* - = genotype not tested in this instance
It is noteworthy that genotype performance against S. sclerotiorum in the cotyledon
assay was significantly and positively correlated with stem lesion ratings from field
screening of the same genotypes. However, this relationship was not perfect, perhaps
due to that fact that field screening tests of oilseed Brassica genotypes can include
components of disease escape rather than physiological resistance (Phillips et al., 1990),
primarily due to differences between genotypes in plant architecture and maturity
(Phillips et al., 1990). This could also be related to the high variability associated with
the field screening test and differences in the anatomy of stem and cotyledon tissue.
Despite this imperfection, the commonality between the cotyledon and field tests that
was found in this study, confirmed the viability of utilizing the cotyledon method as a
reliable and rapid method for initial characterization of B. napus genotype responses to
CHAPTER 2
32
S. sclerotiorum. While Bradley et al. (2006) compared different controlled environment
screening methods with field test results and found that the petiole inoculation method
was significantly correlated with yield of B. napus cultivars, this is the first report in
which a cotyledon assay has been successfully utilized to differentiate B. napus
genotype responses to S. sclerotiorum in a similar way to that obtained for stem lesions
under field testing.
0
2
4
6
8
10
12
0 5 10 15
Lesion diameter (mm) in cotyledon test
Ste
m l
esio
n le
ng
th (c
m) i
n fi
eld
te
st
Figure 2 Relationship between stem lesion length (cm) caused by Sclerotinia sclerotiorum in the field with diameter of lesions (mm) on cotyledons in experiment 1. The stem lesion length was assessed 3 weeks after inoculation and this data taken from Li et al. (2006), while the lesion size on cotyledons was assessed 4 days after inoculation. Thirty two Brassica napus genotypes from Australia and China were investigated. y = 0.8848x – 2 x 10-14; (r = 0.61, P < 0.001, n = 32); R2 = 0.38
Many of the previous methods employed for screening genotypes for resistance to S.
sclerotiorum have utilized colonized agar plugs as the form of inoculum. However, use
of colonized agar plugs has limitations. For example, once mycelium is applied with an
appropriate source of energy (e.g., PDA), then the pathogen ramifies so rapidly that it
does not give adequate time for the host plant to fully engage defense responses, making
resistant genotypes difficult to distinguish. In addition, the actual amount of hyphal
inoculum used for screening can vary when using colonized agar plugs as a food base
and as a carrier of the pathogen. Additionally, asynchronous initiation of lesion
development can occur when colonized agar plugs are used as the inoculum source
(Chun et al. 1987). Although macerated mycelium of S. sclerotiorum has been used
CHAPTER 2
33
previously by others on non-cotyledon tissues [e.g., by Chen and Wang (2005) on
soybean], it was found that quantification of the mycelial suspension in the developed
cotyledon assay ensured uniform distribution of inoculum across test genotypes.
Moreover, in the cotyledon assay, any interference and/or variability in the genotype
responses from toxic metabolites released by S. sclerotiorum in liquid growth media
would have been reduced by the fact that the mycelial mats with deionised water were
washed before maceration, and then re-suspended in the liquid media.
In conclusion, cotyledon assay can be used to rapidly, reliably and cheaply characterize
B. napus genotype responses to S. sclerotiorum and the results suggest that the
technique could be useful across a wide diversity of germplasm. While the cotyledon
assay could best be utilized for initial screening of large genotype populations, the fact
that this assay relates well to results obtained with field screening, which indicates that
this assay can hasten the development of new B. napus cultivars with improved levels of
resistance against S. sclerotiorum. However, it still remains to be shown that this
technique will characterize genotype reactions against S. sclerotiorum in other
cultivated Brassica species, e.g., B. juncea, and in wild and/or weedy Brassica and
crucifer germplasm, which may have different sizes, types or shapes of cotyledons.
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34
CHAPTER 3 Pathogenicity of Morphologically Different Isolates of Sclerotinia sclerotiorum with Brassica napus and B. juncea Genotypes
3.1 ABSTRACT
Sclerotinia stem rot caused by Sclerotinia sclerotiorum is a serious threat to oilseed
production in Australia. Eight isolates of S. sclerotiorum were collected from Mount
Barker and Walkway regions of Western Australia in 2004. Comparisons of colony
characteristics on potato dextrose agar (PDA) as well as pathogenicity studies of these
isolates were conducted on selected genotypes of Brassica napus and B. juncea. Three
darkly pigmented isolates (WW-1, WW-2 and WW-4) were identified and this is the
first report of the occurrence of such isolates in Australia. There was, however, no
correlation between pigmentation or colony diameter on potato dextrose agar with the
pathogenicity of different isolates of this pathogen as measured by diameter of
cotyledon lesion on the host genotypes. Significant differences were observed between
different isolates (P ≤ 0.001) in two separate experiments in relation to pathogenicity.
Differences were also observed between the different Brassica genotypes (P ≤ 0.001) in
their responses to different isolates of S. sclerotiorum and there was also a significant
host x pathogen interaction (P ≤ 0.001) in both experiments. Responses between the two
experiments were significantly correlated in relation to diameter of cotyledon lesions
caused by selected isolates (r = 0.79; P < 0.001, n = 48). Responses of some genotypes
(e.g., cv. Charlton) were relatively consistent irrespective of the isolates of the pathogen
tested, whereas highly variable responses were observed in some other genotypes (e.g.,
Zhongyou-ang No. 4, Purler) against the same isolates. Results indicate that, ideally,
more than one S. sclerotiorum isolate should be included in any screening programme to
identify host resistance. Unique genotypes which show relatively consistent resistant
reaction (e.g., cv. Charlton) across different isolates are the best for commercial
exploitation of this resistance in oilseed Brassica breeding programmes.
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35
3.2 INTRODUCTION
Sclerotinia stem rot (SSR) caused by the ascomycete Sclerotinia sclerotiorum, is a
serious threat to oilseed rape production with substantial yield losses from this disease
recorded world-wide including Australia, Europe and North America (McCartney,
1999; Hind et al., 2003; Sprague and Stewart-Wade, 2002; Koch et al., 2007; Malvarez
et al., 2007). While, S. sclerotiorum is considered to exhibit little host specificity
(Purdy, 1979), it is important to understand the diversity of this pathogen for the
development of effective screening strategies to identify and deploy host resistance. The
diversity and pathogenicity studies of this pathogen have been investigated for different
crops in Canada and the United States (Auclair et al., 2004b; Pratt and Rowe, 1991;
Hambleton et al., 2002; Maltby and Mihail, 1997; Kull et al., 2003). Some past studies
have investigated the genetic diversity of the S. sclerotiorum, but genetic diversity was
not related to the pathogenicity of the pathogen in these studies (Kohn et al., 1991;
Kohli et al., 1992; Cubeta et al., 1997; Sun et al., 2005; Malvarez et al., 2007). Further,
only limited studies have been conducted so far, to understand the diversity and
pathogenicity of S. sclerotiorum on Brassica or other hosts in Australia. These include
the work of Sexton et al. (2006) who demonstrated genotypic diversity among S.
sclerotiorum isolates collected from oilseed rape crops from south east Australia,
utilizing microsatellite markers, and Ekins et al. (2007), who compared aggressiveness
of S. sclerotiorum isolates collected also from south east Australia on sunflower.
Differences in the morphology of S. sclerotiorum isolates have previously been
observed by Li et al. (2003) and Garrabrandt et al. (1983) where isolates producing tan
sclerotia were identified. Very few reports exist to date describing darkly pigmented
isolates of S. sclerotiorum, such as those from Canada and the south western region of
the United States of America (Lazarovits et al., 2000; Sanogo and Puppala, 2007).
Primarily, dark colour of the colonies results from the production of melanin, the main
role of which in this pathogen is to protect the sclerotia from adverse biological and
environmental conditions (Butler and Day 1998; Lazarovits et al., 2000). An association
of melanin with pathogenicity has also been reported in other pathogens. For example,
heavily-melanised variants of the ascomycete fungus Gaeumannomyces graminis var.
tritici are non-pathogenic (Goins et al., 2002), while Magnaporthe grisea and
Colletotrichum lagenarium require melanin for pathogenicity (Kubo et al., 2000).
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36
However, there are no reports of relationship between pigmentation and pathogenicity
in S. sclerotiorum. Furthermore, colony characteristics including radial growth rates of
isolates of S. sclerotiorum in vitro have been related to pathogenicity of this pathogen
under controlled environmental conditions. (e.g., Ziman et al., 1998; Durman et al.,
2003). However, no such studies have been undertaken with Australian isolates of S.
sclerotiorum.
For this study, isolates of S. sclerotiorum were obtained from the Mount Barker and
Walkaway regions of Western Australia in 2004 where significant losses from the
disease have been reported on B. napus. The aims of this study were firstly, to relate
colony characteristics to the pathogenicity for eight isolates of S. sclerotiorum from the
two different regions, and secondly, to evaluate the differences in their pathogenicity to
selected genotypes of B. napus and B. juncea, under controlled environmental
conditions.
3.3 MATERIALS AND METHODS
3.3.1 S. sclerotiorum isolates
Eight isolates of S. sclerotiorum were used to study isolate x cultivar interactions. Four
isolates (viz MBRS-1, MBRS-2, MBRS-3 and MBRS-5) collected from the Mount
Barker and four isolates (WW-1, WW-2, WW-3 and WW-4) from the Walkaway
regions of Western Australia in 2004 were used in this study. The initial cultures were
then sub-cultured on to water agar and stored at 4oC. All isolates were subsequently
sub-cultured to PDA as this medium allows the best expression of any pigmentation
occurring in S. sclerotiorum colonies (Lazarovits et al., 2000; Sanogo and Puppala,
2007).
3.3.2 Molecular identification of different isolates
Single nucleotide polymorphism (SNP) based diagnostics were conducted to identify
the eight strains of Sclerotinia isolated in the present study. SNP data from seven loci as
described by Carbone (2000) were analyzed to develop species-specific
oligonucleotides for identification among S. sclerotiorum, S. minor and S. trifoliorum.
Oligonucleotides using Primer 3 (Rozen and Skaletsky, 2000) were designed to
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37
hybridize to SNPs in regions that had high relative sequence similarity to ensure
hybridization across the board. In addition to the 8 isolates used in this study, two
confirmed isolates of S. sclerotiorum (1980, the genome sequence reference isolate
http://www.broad.mit.edu/annotation/genome/sclerotinia_sclerotiorum/Home.html and
LMK211), one of S. trifoliorum (LMK36) and one of S. minor (FA2-1) were also
included as positive controls, with an isolate of Botrytis cinerea (LMK 18) included as a
negative control (L. M. Kohn and M. Andrew, unpublished).
3.3.3 Comparison of colony characteristics
Mycelial plugs of each isolate were taken from the growing margins of colonies grown
on PDA for 3 days and inoculated on to fresh PDA. All cultures were incubated at 20oC
and colony diameter measured after 24 and 48 hours of incubation. Eight replications
with two plates per replication were used for each isolate.
3.3.4 Pathogenicity of different isolates
3.3.4.1 Fungal isolates
All eight isolates (viz. MBRS-1, MBRS-2, MBRS-3, MBRS-5, WW-1, WW-2, WW-3,
and WW-4) were used singly to determine the reaction of various genotypes to each
isolate in experiment 1. In experiment 2, four isolates viz. MBRS-2,-5 (both highly
pathogenic), WW-3 (moderately pathogenic) and WW-4 (least pathogenic) were used to
provide a similar range of pathogenicity for both experiments in order that host
responses and host-pathogen interactions identified in experiment 1 could be compared.
3.3.4.2 Genotypes tested
16 genotypes (12 B. napus and 4 B. juncea) from Australia and China as listed in Table
4 were selected for evaluation on the basis of differences in their resistance reaction as
identified earlier by Li et al. (2006) and Garg et al. (2008/Chapter 2). Seed was obtained
from Australia and China through an Australian Centre for International Agricultural
Research (ACIAR) collaborative program. The experiment was repeated (experiment 2)
with the same 16 cultivars as described above.
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38
3.3.4.3 Test conditions and inoculum production
All procedures, test conditions and inoculum production were as described previously
by Garg et al. (2008/Chapter 2). Briefly, the host genotypes screened were grown in
13.7 x 6.6 x 4.9 cm trays, each having 8 cells and containing a soil-less compost
mixture. Groups of 4 trays were placed in 10 L plastic storage boxes (34 x 13 x 23 cm).
Three seeds of each genotype were sown in each cell and thinned to a single seedling
per cell after emergence. A complete randomized block design was utilized with four
replications with two plants per replication of each genotype x isolate combination. All
experiments were conducted under controlled environment growth room conditions of
18 ± 1oC day and 14 ± 1oC night (12 hours light/dark cycles), with light intensity of
150 µE m–2 s–1. Seedlings were grown until cotyledons were fully expanded, equivalent
to growth stage 1.00 on the scale given by Sylvester-Bradley and Makepeace (1984).
Seven agar plug discs (each 5 mm2 diam) were cut from the actively growing margin of
3 day-old colonies of S. sclerotiorum on PDA at 20oC and transferred to 250 mL flasks
containing 75 mL of sterilized liquid medium (Potato Dextrose Broth 24 g, Peptone 10
g, H2O 1 L ). Flasks were rotated on an Innova® 2300 platform shaker at 120 rpm min-1.
After 3 days, colonies of S. sclerotiorum were harvested and washed twice with
sterilized deionized water. The fungal mats obtained were transferred to 125 mL of the
same liquid medium and mycelia macerated in a Breville® food grinder for 3 min. The
macerated mycelial suspension was then filtered through 4 layers of cheese cloth and
the concentration adjusted with the same liquid medium to 1 x 104 fragments mL-1 using
a haemocytometer (SUPERIOR®, Berlin, Germany).
3.3.4.4 Inoculations
Inoculations were carried out when cotyledons were 10-days old. A total of four
droplets of mycelial suspension each of 10 µl were deposited on each plant using a
micro-pipette, with a single drop on each cotyledon lobe. While inoculating, the
mycelial suspension was shaken regularly to maintain a homogeneous mycelial
suspension. A 2.5 cm deep layer of water was added at the bottom of the plastic
containers to maintain high humidity. In addition, a very fine mist of water was sprayed
both over cotyledons and on the inside of the container lids. Together, these procedures
allowed maintenance of a relative humidity level of ca. 100% within the plastic
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39
containers. Following inoculation, the boxes were placed under the benches in the
controlled environment room and maintained at a low light intensity of approximately
13 µE m–2 s–1 for 4 days up to time of disease assessment. Previous studies (Garg et al.,
2008/Chapter 2) had shown this technique to be a reliable means of determining the
level of resistance in Brassica genotypes.
3.3.4.5 Disease assessment
At 4 dpi, box covers were removed and lesions assessed on the basis of lesion diameter
(mm) as described by Garg et al. (2008/Chapter 2).
3.3.4.6 Data analyses
Verification of various assumptions of normality and homogeneity of variance required
for parametric analyses (before the actual analysis was carried out), and analysis of the
lesion rating data from intial experiment and from repeat experiment (single factor
analysis of variance) were performed using GENSTAT (9th edition, Lawes Agricultural
Trust). Fisher’s least significant differences (P < 0.05) were used to calculate the
differences between the genotypes and isolates. The relationships between the two
experiments were assessed by computing Pearson correlation coefficients using data
analysis function in Microsoft Excel.
3.4 RESULTS
3.4.1 Molecular identification of different isolates
Three loci (CAL-calmodulin, RAS-ras protein, IGS-intergenic spacer region) were
amplified and sequenced in the SNP-based diagnostic. Two sites were chosen to be
diagnostic for each species, and the sites chosen for S. sclerotiorum were CAL19 and
CAL448. Tables 1 and 2 show the sequencing results for these sites, including
representative isolates of each species and all eight test isolates. The isolates of
Sclerotinia from Western Australia that were tested in this study had identical sequences
at the SNP site to the representative isolates from S. sclerotiorum as listed in Tables 1
and 2. All the isolates used in this study shared SNP sequences with previously
identified S. sclerotiorum isolates. Additionally, there was no hybridization of the
isolates used in this study at SNP sites that were diagnostic for S. trifoliorum and S.
minor, and no hybridization to the probes for the negative control.
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40
Table 1 Sequences of Australian isolates (WW-1,2,3,4; MBRS-1,2,3,5) and representative isolates of Sclerotinia sclerotiorum, S. trifoliorum, S. minor species at site CAL19, where T is diagnostic for S. sclerotiorum
Isolate
Sequence at CAL19
S. sclerotiorum (1980) TCTTTGTAAGTTCATCTC T CTAACTTTTACAATCTCAG
S. sclerotiorum (LMK211) TCTTTGTAAGTTCATCTC T CTAACTTTTACAATCTCAG
WW-1 TCTTTGTAAGTTCATCTC T CTAACTTTTACAATCTCAG
WW-2 TCTTTGTAAGTTCATCTC T CTAACTTTTACAATCTCAG
WW-3 TCTTTGTAAGTTCATCTC T CTAACTTTTACAATCTCAG
WW-4 TCTTTGTAAGTTCATCTC T CTAACTTTTACAATCTCAG
MBRS-1 TCTTTGTAAGTTCATCTC T CTAACTTTTACAATCTCAG
MBRS-2 TCTTTGTAAGTTCATCTC T CTAACTTTTACAATCTCAG
MBRS-3 TCTTTGTAAGTTCATCTC T CTAACTTTTACAATCTCAG
MBRS-5 TCTTTGTAAGTTCATCTC T CTAACTTTTACAATCTCAG S. trifoliorum (LMK36) TCTTTGTGAGTTCATCTC C CTAACTTTTACAATCTCAG S. minor (FA2-1) TCTTTGTAAGTTCATCTC C CTGACTTTTATAATCTCAG
Table 2 Sequences of Australian isolates and representative isolates of Sclerotinia sclerotiorum, S. trifoliorum, S. minor at site CAL448, where A is diagnostic for S. sclerotiorum
Isolate
Sequence at CAL448/500
S. sclerotiorum (1980) CCATTGATTTCCCAGGTACGGC A AAGCATAATATAGT
S. sclerotiorum (LMK211) CCATTGATTTCCCAGGTACGGC A AAGCATAATATAGT
WW-1 CCATTGATTTCCCAGGTACGGC A AAGCATAATATAGT
WW-2 CCATTGATTTCCCAGGTACGGC A AAGCATAATATAGT
WW-3 CCATTGATTTCCCAGGTACGGC A AAGCATAATATAGT
WW-4 CCATTGATTTCCCAGGTACGGC A AAGCATAATATAGT
MBRS-1 CCATTGATTTCCCAGGTACGGC A AAGCATAATATAGT
MBRS-2 CCATTGATTTCCCAGGTACGGC A AAGCATAATATAGT
MBRS-3 CCATTGATTTCCCAGGTACGGC A AAGCATAATATAGT
MBRS-5 CCATTGATTTCCCAGGTACGGC A AAGCATAATATAGT S. trifoliorum (LMK36) CCATTGATTTCCCAGGTACGGC G AAGCATAATATAGT
S. minor (FA2-1) CCATTGATTTCCCAGGTACGGC T AAGCATGACATAGT
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41
3.4.2 Colony characteristics of isolates
3.4.2.1 Pigmentation
Of the eight isolates, three (viz. WW-1, WW-2, and WW-4) were found to be darkly
pigmented. However, intensity of melanization varied among the pigmented isolates.
Pigmentation was most pronounced in WW-1 as compared to WW-2 and WW-4
following 1 month of incubation at 20oC.
3.4.2.2 Colony diameter
There were significant differences between different isolates in relation to the colony
diameter measured after 24 and 48 hours of incubation (Table 3). However, there was
no significant correlation between pathogenicity and the colony diameter of different
isolates (data not shown).
Table 3 Colony diameter (cm) of different Sclerotinia sclerotiorum isolates growing on potato dextrose agar after 48 h incubation
Isolate Colony Diameter
MBRS-1 7.96 MBRS-2 6.65 MBRS-3 6.67 MBRS-5 8.06 WW-1 7.64 WW-2 5.97 WW-3 6.14 WW-4 7.08 P<0.001; l.s.d (P≤0.05) = 0.72
3.4.3 Responses of various genotypes to different isolates of S. sclerotiorum
3.4.3.1 Experiment 1
Small necrotic and water-soaked lesions were observed after 24 h post-inoculation, their
size depending upon the isolate used. After 24 h, an increase in lesion size was observed
across the different genotypes when inoculated with MBRS-1, MBRS-2, MBRS-3,
MBRS-5, WW-1 and WW-3. In contrast, no such progression in lesion size after 24 h
was observed in the genotypes when inoculated with isolates WW-2 or WW-4, with
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42
Table 4 Experiment 1: Reaction (lesion diameter, mm) and rank order (numbers in parenthesis) of 12 Brassica napus and 4 B. juncea genotypes from Australia and China to different isolates of Sclerotinia sclerotiorum (viz. MBRS-1, 2, 3 and 5; WW-1, 2, 3, and 4) 4 days after inoculation on the cotyledons
Genotype Origin Type MBRS-1 MBRS-2 MBRS-3 MBRS-5 WW-1 WW-2 WW-3 WW-4 Means
AG- Spectrum Australia B. napus 6.2(9) 9.7(12) 7.1(12) 9.8(12) 5.5(8) 1.5(7) 3.0(7) 0.4(2) 5.3 AV-Sapphire Australia B. napus 10.1(15) 9.8(14) 7.1(12) 7.1(3) 7.0(10) 1.6(8) 3.6(13) 1.0(11) 5.8 Charlton Australia B. napus 1.0(1) 2.5(1) 1.7(1) 0.8(1) 1.6(1) 3.1(16) 2.5(5) 0.7(6) 1.7 Ding 474 China B. napus 7.7(14) 8.5(10) 5.3(3) 9.3(8) 6.3(9) 1.0(3) 3.1(8) 0.3(1) 5.1 Fan168 China B. napus 5.8(7) 5.9(5) 7.8(14) 9.4(9) 5.2(6) 1.2(5) 3.2(10) 0.7(7) 4.9 JM16 Australia B. juncea 5.1(6) 6.7(7) 5.4(4) 10.7(13) 7.7(11) 1.3(6) 3.2(9) 0.8(8) 5.0 JN010 Australia B. juncea 2.6(3) 6.1(6) 6.2(7) 9.7(11) 3.0(3) 0.9(1) 1.0(1) 0.4(3) 3.7 JN028 Australia B. juncea 6.9(10) 5.8(4) 5.7(5) 7.3(4) 2.3(2) 0.9(2) 1.4(2) 0.5(4) 3.8 JR042 Australia B. juncea 5.9(8) 5.7(3) 6.5(10) 9.0(7) 5.4(7) 1.1(4) 1.6(3) 0.6(5) 4.4 Mystic Australia B. napus 1.5(2) 4.3(2) 4.3(2) 3.9(2) 3.7(4) 1.9(10) 2.0(4) 1.0(10) 2.8 P617 China B. napus 7.1(11) 9.7(13) 6.4(9) 9.4(10) 8.2(14) 2.1(11) 2.6(6) 1.3(16) 5.7 Purler Australia B. napus 4.1(4) 8.2(9) 6.0(6) 10.6(14) 8.3(15) 2.5(13) 4.1(14) 1.3(15) 5.6 Rivette Australia B. napus 10.1(16) 7.7(8) 8.9(15) 12.0(16) 8.0(13) 2.9(15) 4.5(16) 1.0(9) 6.8 RQ001-02M2 Australia B. napus 7.5(12) 10.9(15) 6.2(8) 10.9(15) 11.2(16) 2.2(12) 4.2(15) 1.1(12) 6.7 RR013 Australia B. napus 7.5(13) 12.0(16) 7.0(11) 8.7(6) 7.9(12) 2.7(14) 3.3(12) 1.1(14) 6.2 Zhongyou–ang No. 4 China B. napus 4.9(5) 8.7(11) 9.0(16) 8.7(5) 5.2(5) 1.8(9) 3.3(11) 1.1(13) 5.3 Means 5.9 7.6 6.3 8.6 6 1.8 2.9 0.8 Significance of genotypes P<0.001; l.s.d (P≤0.05) = 0.60 Significance of isolates P<0.001; l.s.d (P ≤0.05) = 0.42 Significance of genotypes x isolates P<0.001; l.s.d (P≤0.05) = 1.70
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43
necrotic lesions only developing directly underneath where the drops of the inoculum
had been applied (data not shown).
Significant differences were observed between the genotypes (P < 0.001; Table 4) in
relation to the severity of lesions on cotyledons across the isolates tested. Cultivar
Charlton was identified as the most resistant cultivar with mean lesion diameter of 1.72
mm, whereas cv. Rivette was found to be the most susceptible genotype with a mean
lesion diameter of 6.82 mm at 4 dpi.
3.4.3.2 Experiment 2
There were significant differences between genotypes (P < 0.001, Table 5) in relation to
cotyledon lesion diameter across the isolates tested. Cultivar Charlton was again found
to be the most resistant cultivar with mean lesion length of 1.24 mm and while B. napus
lines AV-Sapphire and Ding 474 were the most susceptible genotypes with mean lesion
length of 6.2 mm.
3.4.4 Pathogenicity of different isolates of S. sclerotiorum
Significant differences were observed between eight isolates (P < 0.001) in relation to
their pathogenicity towards the 16 Brassica genotypes used in Experiment 1 as well as
in Experiment 2. Overall, MBRS-5 was the most pathogenic isolate with a mean lesion
length of 8.6 and 5.9 mm in experiments 1 and 2 mm, respectively, at 4 dpi. Similarly,
WW-4 was the least pathogenic isolate with a mean lesion length of 0.8 (experiment 1)
and 1.7 (experiment 2) mm at 4 dpi.
3.4.5 Host x pathogen interaction
A significant (P < 0.001) host x pathogen interaction was observed in both experiments.
However, some of the genotypes (e.g., cv. Charlton) performed consistently better in
relation to cotyledon lesion diameter against most of the isolates used in this study (viz.
top ranked resistant genotype for five isolates, rank 5 or 6 for two other isolates, rank 16
for the isolate which was the least pathogenic and where the differences in the lesion
diameters between the more resistant genotypes were very small; Table 4). Some of the
genotypes (e.g., cv. AG- Spectrum, Purler, Zhongyou-ang No. 4) were found to be
strongly and differentially responsive to isolates of S. sclerotiorum tested, suggesting
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44
that there can be a strong interaction between genotypes and the isolates of the pathogen
used in this study.
Table 5 Experiment 2: Reaction (lesion diameter, mm) and rank order (numbers in parenthesis) of 12 Brassica napus and 4 B. juncea genotypes from Australia and China to different isolates of Sclerotinia sclerotiorum (viz. MBRS- 2, and 5; WW-3, and 4) 4 days after inoculation on the cotyledons
Genotype
MBRS-2
MBRS-5
WW-3
WW-4
Means
AG- Spectrum 3.6(5) 7.7(12) 6.0(9) 1.3(6) 4.7 AV-Sapphire 5.4(13) 7.8(13) 9.33(16) 2.1(12) 6.2 Charlton 1.0(1) 2.0(2) 1.36(1) 0.5(1) 1.2 Ding 474 7.2(16) 8.1(14) 7.34(13) 2.1(11) 6.2 Fan168 5.4(12) 7.6(11) 6.66(10) 2.3(15) 5.5 JM16 5.0(9) 6.4(8) 5.21(6) 1.3(4) 4.5 JN010 2.7(2) 6.9(9) 5.13(5) 1.2(3) 4.0 JN028 5.2(10) 8.5(16) 3.55(3) 1.4(7) 4.7 JR042 3.3(4) 5.9(7) 5.22(7) 1.3(5) 3.9 Mystic 3.3(3) 1.2(1) 2.4(2) 1.2(2) 2.0 P617 5.0(8) 4.2(5) 8.61(15) 2.8(16) 5.2 Purler 6.6(14) 5.1(6) 4.97(4) 2.0(10) 4.7 Rivette 6.6(15) 7.3(10) 6.79(12) 2.2(14) 5.7 RQ001-02M2 5.2(11) 3.5(3) 5.59(8) 1.7(8) 4.0 RR013 4.2(6) 8.4(15) 6.73(11) 2.0(9) 5.3 Zhongyou-ang No. 4 4.9(7) 4.1(4) 8.13(14) 2.2(13) 4.8 Means 4.7 5.9 5.8 1.7 Significance of genotypes P<0.001; l.s.d (P≤0.05) = 0.95 Significance of isolates P<0.001; l.s.d (P≤0.05) = 0.48 Significance of genotypes x isolates P<0.001; l.s.d (P ≤0.05) = 1.91
3.4.6 Correlation of responses of genotypes between experiments
Overall, there was a significant positive correlation (r = 0.78; P < 0.001, n = 16, Fig. 1)
between experiments 1 and 2 for mean values for genotypes in relation to cotyledon
lesion diameter.
There was significant positive correlation between experiments 1 and 2 for individual
values for cotyledon lesion diameter of different genotypes across three isolates of S.
sclerotiorum (MBRS-2, MBRS-5 and WW-4) (r = 0.79; P < 0.001, n = 48, Fig. 2).
However, when S. sclerotiorum isolate WW-3 was included in analysis the “r” value
decreased from 0.79 to 0.56, but was still significant (r = 0.56; P < 0.001, n = 64, Fig.
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45
3). There was a significant positive correlation in relation to diameter of the lesion on
cotyledons for various genotypes inoculated with MBRS-1 in this study when compared
with responses for these same genotypes that were reported previously (Garg et al.,
2008/Chapter 2; r = 0.84, P = 0.002, n = 10, Fig. 4).
Figure 1 Correlation between experiments 1 and 2 for overall mean values of diameter of cotyledon lesions in each experiment across each of the 12 B. napus and 4 B. juncea genotypes 4 days post- inoculation with Sclerotinia sclerotiorum
Figure 2 Correlation between experiments 1 and 2 for individual values for cotyledon lesion diameter 4 days post-inoculation with three isolates of Sclerotinia sclerotiorum (viz. MBRS-2, MBRS-5 and WW-4) onto 12 B. napus and 4 B. juncea genotypes
3.5 DISCUSSION
In comparing the colony characteristics of the eight isolates of S. sclerotiorum isolated,
three darkly pigmented colonies (viz. WW-1, WW-2, and WW-4) were obtained.
However, no correlation between pathogenicity and either pigmentation or colony
diameter (data not shown) was found. This is the first report of the occurrence of darkly
pigmented mycelial isolates of S. sclerotiorum on Brassicas in Australia. Three isolates
y = 0.7673x + 0.7502R 2 = 0.61
0
1
2
3
4
5
6
7
0 2 4 6 8
Means of cotyledon lesion diameter (Experiment 1)
Mea
ns
of
coty
led
on
les
ion
dia
met
er
(Exp
erim
ent
2)
y = 0.4659x + 1.4525
R 2 = 0.6284
0
1
2
3
4
5
6
7
8
9
0 5 10 15
Cotyledon lesion diameter (Experiment 1)
Co
tyle
do
n l
esio
n d
iam
eter
(E
xper
imen
t 2)
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46
(viz. WW-1, WW-2, and WW-4) with varying intensity of pigmentation were identified
from the Walkaway region of Western Australia. Of the three pigmented isolates found
in this study, WW-1 was relatively more pathogenic than isolates WW-2 and WW-4. A
darkly pigmented isolate was also identified as pathogenic by Sanogo and Puppala
(2007). However, results in the present study demonstrate that pigmentation and colony
diameter do not necessarily relate to pathogenicity of S. sclerotiorum. This is, however,
in contrast to previous reports, for example, Zhou and Boland (1999) examined factors
affecting virulence and found that while a hypo-virulent isolate showed reduced
mycelial growth, pathogenicity was mainly affected by reduced or delayed production
of oxalic acid.
There were significant differences observed among different Brassica genotypes when
challenged by different strains of S. sclerotiorum and also among different isolates in
relation to their pathogenicity as measured by cotyledon lesion diameter on different
Brassica genotypes. There was also a significant host x pathogen interaction in both the
experiments. It is noteworthy that some genotypes showed consistent host responses
irrespective of the isolates of S. sclerotiorum used in this study, whereas others showed
a variable pattern of responses depending upon the isolate used. For instance, in terms
of lesion length, cv. Charlton consistently showed a high level of resistance to most of
the isolates. It is interesting that where variable ranking for cv. Charlton was observed,
it was against the S. sclerotiorum isolates that were least pathogenic (viz. WW-2, WW-3
and WW-4). Similarly, cv. Rivette and RQ001-02M2 were also consistent in terms of
their responses, showing susceptible reactions against most of the isolates that were
used in this study (Table 4). In contrast, the ranking of certain other genotypes (e.g.,
Zhongyou-ang No. 4, AV-Sapphire) was highly variable in response to inoculation with
different isolates of S. sclerotiorum. These particular genotypes showed response
ranging from resistant to highly susceptible, depending upon the isolate. Genotypes that
show the most consistent and promising responses across a range of S. sclerotiorum
isolates should be used as standards in disease screening programs and in commercial
breeding programs, as these are the most likely genotypes to perform consistently across
different national and international geographic locations. Such differences in responses
of genotypes depending upon the isolate, also suggest that resistance in Brassicas
against S. sclerotiorum is most likely to be polygenic.
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47
There are very few published reports of significant genotype x S. sclerotiorum
interaction of the type that was observed in this study, probably because in most of
previous studies either more isolates were included but with only a very small number
of genotypes or vice versa (e.g., Riddle et al., 1991; Ekins et al., 2007; Morrall et al.,
1972; Auclair et al., 2004b; Pratt and Rowe, 1995). It is interesting that no significant
interaction was observed between Glycine max and S. sclerotiorum isolates (Auclair et
al., 2004b) in Canada where 5 host cultivars and 4 pathogen isolates were involved or
with five isolates and seven alfalfa cultivars (Pratt and Rowe, 1995) in the USA. The
host genotypes used in this study were representative of a wide genetic diversity of
Brassica germplasm available from Australia and China, which could have enhanced
the significant host-pathogen interactions observed.
Figure 3 Correlation between experiments 1 and 2 for individual values for cotyledon lesion diameter 4 days post-inoculation with four isolates of Sclerotinia sclerotiorum (viz. MBRS-2, MBRS-5, WW-3, WW-4) onto 12 B. napus and 4 B. juncea genotypes
Figure 4 Correlation of data for diameter of cotyledon lesions on 10 B. napus genotypes 4 days post-inoculation with Sclerotinia sclerotiorum in experiment 1 with data taken from Garg et al. (2008) when inoculated with MBRS-1
Significant differences were observed among the isolates of S. sclerotiorum in relation
to their pathogenicity. At 4 dpi, some isolates were less pathogenic (WW-2, WW-4)
irrespective of the host genotypes tested, whereas others (MBRS-5, MBRS-2) were
y = 0.3372x + 2.8712
R 2 = 0.2625
0
1
2
3
4
5
6
7
8
9
10
0 5 10 15
Cotyledon Lesion diameter (Experiment 1)
Co
tyle
do
n l
esio
n d
iam
eter
(E
xper
imen
t 2)
y = 0.8567x + 1.772
R 2 = 0.7048
0
2
4
6
8
10
12
0 2 4 6 8 10
Cotyledon lesion diameter in Experiment 1 of MBRS-1
Co
tyle
do
n l
esio
n d
iam
eter
in
Gar
g e
t al
. (2
008)
CHAPTER 3
48
highly pathogenic to almost all of the Brassica genotypes evaluated in this study. This
may be related to some form of physiological specialization in S. sclerotiorum in
Western Australia. This further illustrates the advantage of screening Brassica
genotypes with a range of S. sclerotiorum isolates so that reaction of different host
genotypes can be precisely identified. Where such spectrum of isolates is not readily
available, it is best to use a highly pathogenic isolate such as MBRS-1, as used by Li et
al. (2006, 2007).
Only eight isolates were used in this study. However, similar differences among S.
sclerotiorum isolates have been reported by others even where a larger number of
isolates were investigated (e.g., Riddle et al., 1991; Ekins et al., 2007; Morrall et al.,
1972). While variations in pathogenicity have been reported among isolates, the
differences did not justify grouping of S. sclerotiorum isolates on the basis of their
pathogenicity. This is further supported by the observations of Melzer and Boland
(1996) working on lettuce and Morrall et al. (1972) on 23 different hosts, who defined a
“continuum” (in contrast to distinct categories) in the pathogenicity of this pathogen.
Even where significant differences in pathogenicity among isolates of this pathogen
occur, their responses were found to be overlapping (e.g., Riddle et al., 1991; Ekins et
al., 2007).
Some isolates (e.g., MBRS-2, MBRS-5 and WW-4) in the present study behaved
consistently across the two experiments as compared to others (e.g., WW-3).
Differences in pathogenicity of this pathogen observed between repeated experiments
have also been reported by other workers e.g., Pratt and Rowe (1995) on alfalfa;
Errampalli and Kohn (1995) on canola; Brenneman et al. (1988) on peanuts, when only
a few isolates were tested, or when large number of isolates were involved (e.g., Ekins
et al., 2007 on sunflower; Riddle et al., 1991 on dandelion).
In conclusion, this study is the first to identify darkly pigmented isolates of S.
sclerotiorum in Australia, although the pathogenicity of the pathogen was not
influenced by pigmentation or colony diameter of the isolates. Significant differences in
pathogenicity were observed between different isolates across different genotypes,
suggesting a form of physiological specialization occurs in this pathogen in Western
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49
Australia. For this reason, it is best to include more than one S. scleortiorum isolate in
any germplasm screening program. Further, genotypes such as cv. Charlton which
showed consistent resistant reactions to different isolates in this study, and also showed
useful resistance under field conditions (Li et al., 2006), are those most likely best
suited for commercial exploitation of this resistance in oilseed rape breeding programs.
This is especially so in relation to developing cultivars for deployment in areas where
physiological specialization occurs.
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50
CHAPTER 4 Scarification and Environmental Factors that Enhance Carpogenic Germination of Sclerotia of Sclerotinia Sclerotiorum
4.1 ABSTRACT
Ascospores of Sclerotinia sclerotiorum are the primary source of inoculum for disease
epidemics in many economically important crops. Mass production of ascospores under
laboratory conditions is required to prepare inoculum for use in selection of genotypes
with resistance against Sclerotinia diseases. A study was undertaken, first, to investigate
the effect on carpogenic germination of scarifying sclerotia from two S. sclerotiorum
isolates taken from canola (Brassica napus), and second, to identify environmental
factor(s) that enhance carpogenic germination. Seven different environmental
treatments were applied to scarified and un-scarified sclerotia, viz. 1) sterilized distilled
water for four months at 15oC, 2) aerated water for four months at 4oC, 3) constant
rinsing with tap water for eight weeks at 4oC, 4) cold-conditioning for four weeks at 4oC
and subsequent transfer into moist unsterilized compost at 15oC, or 5) sclerotia
incubated into sterilized river sand at 15oC, 6) air-drying of sclerotia for two weeks
followed by subsequent transfer into sterilized moist river sand at 15oC, or, 7) sclerotia
placed into 0.5% water agar and incubated at 15oC. Carpogenic germination of scarified
sclerotia was significantly greater (P < 0.05) than for un-scarified sclerotia. There was
significant interaction (P < 0.001) between scarification and the different environmental
treatments in relation to the carpogenic germination. Carpogenic germination of
scarified sclerotia was enhanced by incubation of sclerotia in compost or in sterilized
river sand. Further, overall carpogenic germination of both scarified and un-scarified
sclerotia occurred to the greatest extent when sclerotia of either of the two isolates were
subjected to constant rinsing with tap water. This is a first report, both of the enhanced
carpogenic germination by scarification in S. sclerotiorum and for the environmental
factors that enhance carpogenic germination of scarified sclerotia.
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51
4.2 INTRODUCTION
Sclerotinia sclerotiorum is an important pathogen of soybean (Glycine max), sunflower
(Helianthus annuus) and canola (Brassica napus L.) in North America, Europe,
Australia, India and China (Purdy, 1979; Boland and Hall, 1994; Li et al., 1999;
McCartney et al., 1999; McDonald and Boland, 2004; Young et al., 2004; Koch et al.,
2007; Malvarez et al., 2007; Singh et al., 2008). While sclerotia of this pathogen can
germinate to produce infective hyphae, myceliogenic germination generally plays only a
minor role in disease epidemiology (Abawi and Grogan, 1979). An exception is
Sclerotinia stem rot of oilseed Brassica crops in India where myceliogenic germination
considered to be important (Singh et al., 2008). More commonly, sclerotia germinate
carpogenically, producing apothecia that release wind-borne ascospores (McCartney et
al., 1999), which are generally considered the primary inoculum source for Sclerotinia
disease epidemics on many economically important crops (Keay, 1939; Newton and
Sequeira 1972; Abawi and Grogan, 1975; Purdy, 1979; Smith and Boland, 1989;
Williams et al., 1980). For this reason, artificial production of ascospore inoculum is of
prime importance, both in the selecting genotypes with resistance against S.
sclerotiorum (Dillard et al., 1995) and also for studies to better understand aspects of the
epidemiology of this disease (Abawi and Grogan, 1975).
Sclerotia of most isolates of S. sclerotiorum are known to possess constitutive and
exogenous dormancy that must be overcome before they can be germinated
carpogenically to produce ascospores (Coley-Smith and Cooke, 1971; Phillips, 1987).
The role of temperature (Saito, 1973; Kohn, 1979; Mylchreest and Wheeler, 1987;
Smith and Boland, 1989; Clarkson et al., 2003; Clarkson et al., 2004; Clarkson et al.,
2007), soil moisture (Morrall, 1977; Saito, 1977; Phillips, 1986; Wu and Subbarao,
2008) and aeration and/or burial depth (Phillips, 1987; Wu and Subbarao, 2008) as
conditioning treatments to induce carpogenic germination or to break the dormancy of
sclerotia, have been well documented. The sclerotial rind is also known to impose
constitutive dormancy, even though it is considered to be permeable to water, gases and
some molecules like carbohydrate (Coley-Smith and Cooke, 1971). Sclerotia of both S.
sclerotiorum and S. trifoliorum are reported to germinate more rapidly when the
sclerotial rind is broken or damaged (Makkonen and Pohjakallio, 1960), even though
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52
rind is known to regenerate (Coley-Smith and Cooke, 1971; Young and Ashford, 1996).
There have also been a few studies for other pathogens on this aspect. For example,
Scott (1954) observed that artificial abrasion of the rind was required for immediate
germination of sclerotia of Sclerotium cepivorum, while Boswell (1958) and Chet
(1969) reported increased germination of sclerotia of Sclerotium rolfsii following
mechanical damage of the rind. These studies suggested that in an undamaged state, the
sclerotial rind may play a role in inhibition of sclerotial germination. However, most
published studies on the role of damage to sclerotial rind relate to myceliogenic
germination, and role of the damage to the sclerotial rind in stimulating carpogenic
germination of S. sclerotiorum is not clear. Further, the effect of various environmental
treatments on scarified sclerotia to stimulate the carpogenic germination of scarified
sclerotia has not been investigated to date.
A great deal of work has been reported on environmental factors such as temperature,
light, moisture, and burial depth required to stimulate carpogenic germination of
sclerotia of S. sclerotiorum (e.g., Willetts and Wong, 1980). However, findings
frequently differ among different studies and can even be contradictory (Phillips, 1987;
Wu and Subbarao, 2008). For example, while there is general agreement that favorable
apothecial production occurs at 10oC - 20oC (Willetts and Wong, 1980), specific
temperatures of 7oC to 25oC are reported by others (e.g., Phillips, 1987). Moreover,
reports on specific temperature requirements for preconditioning of sclerotia to
stimulate carpogenic germination are also incongruous among different studies, e.g.,
0oC (Kohn, 1979), 3oC (Saito, 1977), 4oC (Clarkson, 2003), 5oC (Phillips, 1986), 7oC
(Cobb and Dillard, 1996), 8oC (Dillard et al., 1995) and 10oC (Huang and Kozub,
1991). In contrast, some isolates of S. sclerotiorum have also been reported to germinate
without any chilling requirements (Ramsey, 1925; Bedi, 1956). The length of the pre-
conditioning period suggested to stimulate carpogenic germination is also highly
variable, ranging from 7-10 days to 8 weeks (Abawi and Grogan, 1975; Phillips, 1987;
Mila and Yang, 2008). Such differences in germination behaviour of the sclerotia of the
S. sclerotiorum isolates could partially be due to the geographical origin (Huang and
Kozub, 1991) and/or the temperature conditions under which sclerotia were formed
(Huang and Kozub, 1989).
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53
Moisture is also considered as a vital requirement for carpogenic germination and even
a small osmotic stress can inhibit apothecial formation (Williams and Western, 1965;
Grogan and Abawi, 1975; Abawi and Grogan, 1979; Sun and Yang, 2000; Wu and
Subbarao, 2008). Additionally, light is also reported to be essential for the development
of mature apothecia, but not for the stipe formation (Sproston and Pease, 1957; Thaning
and Nilsson 2000). The substrate used for production of sclerotia (Smith and Boland,
1989; Willetts and Wong, 1980) and burial depth (Wu and Subbarao, 2008) can also
influence apothecial production of S. sclerotiorum. As a large number of different
variables can influence carpogenic germination, it is not surprising that reproducibility
of different individual treatments/methods used to induce apothecial production in
different locations has often been reported to be very poor (e.g., Grogan, 1979;
Mylchreest and Wheeler, 1987; Smith and Boland, 1989; Dillard et al., 1995). Such
variability makes it particularly difficult to relate published findings on carpogenic
germination of sclerotia of S. sclerotiorum to particular geographical locations, such as
the Mediterranean environment of southwest Western Australia.
The inconsistencies in the results reported to date in relation to the carpogenic
germination of S. sclerotiorum prompted us to evaluate the effects of scarification and
environmental factors on carpogenic germination of S. sclerotiorum and to test for the
presence of any seasonal patterns associated with their germination. The objectives of
this study were: Firstly, to determine whether carpogenic germination of the sclerotia of
S. sclerotiorum can be enhanced by scarification, secondly, to evaluate if certain
environmental factors can enhance carpogenic germination and, thirdly, to determine
the seasonal influences or time of the year upon induction of carpogenic germination.
4.3 MATERIALS AND METHODS
4.3.1 S. sclerotiorum isolates and production of sclerotia
Two isolates of S. sclerotiorum (MBRS-1 and WW-3) were collected from the Mount
Barker (MBRS-1) and Walkaway (WW-3) regions of the Western Australia (WA) in
2004, in each instance from infected tissue of B. napus and from a site where there was
a significant disease on a canola crop (Li et al., 2006). Initial isolation and sterilization
of sclerotia were carried out as described by Clarkson et al. (2003) and Sansford and
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54
Coley-Smith (1992). Briefly, a single sclerotium each of S. sclerotiorum isolates
MBRS-1 and WW-3 was surface sterilized in 50% (v/v) sodium hypochlorite and 70%
ethanol for 4 min followed by two washes in sterilized distilled water for 1 min. The
sclerotium was then cut into half and placed on potato dextrose agar (PDA). Sclerotia
obtained from this culture were removed, air dried and maintained at 4oC for future
studies.
Bulk production of sclerotia of the two isolates (MBRS-1 and WW-3) was undertaken
by growing each isolate on sterilized wheat grain. Wheat media for mass production of
the sclerotia of the two isolates was used primarily to ensure uniformity among all the
treatments and to mitigate any substrate influence on the carpogenic germination as
reported previously (e.g., Smith and Boland, 1989). Erlenmeyer flasks (250 ml)
containing 25 g of wheat grain and 60 ml of distilled water (autoclaved three times at
120oC for 20 min) were inoculated by using four agar plugs from the edge of three- day
old S. sclerotiorum colonies (Mylchreest and Wheeler, 1987; Clarkson et al., 2003).
Flasks were placed in incubator at 20oC for 4 weeks to obtain mature sclerotia. During
this period, these flasks were shaken three times a week to even the colonization of
wheat grains. After 4 weeks, sclerotia were harvested by sieving under running water to
obtain sclerotia of a uniform size of 2-5mm diameter and to remove any remnants of
colonized and un-colonized wheat grains.
4.3.2 Experimental design
A three-way asymmetric factorial design (i.e., 2 x 2 x 7) was utilized for this study. For
each isolate of S. sclerotiorum, sclerotia were separated into two groups, viz. scarified
and un-scarified sclerotia (1400 sclerotia/isolate and 700 sclerotia/group). Each isolate
and sclerotial treatment group was then divided into seven separate lots (each of 100
sclerotia) for each treatment applied in relation to carpogenic germination. Each lot was
further divided into four units to obtain 4 replications with 25
sclerotia/replication/treatment. Each replication unit (25 sclerotia) was then placed in
transparent plastic container (650 ml; Bunzl Australasia) with air-tight lids containing
either river sand, water or unsterilized organic compost to 2 cm depth according to each
treatment tested for its ability to stimulate carpogenic germination. However, round
plastic autoclavable containers (6.5 x 7.0 cm (diameter x height)) with air-tight lids
CHAPTER 4
55
were used where sclerotia were placed in water agar. Sclerotia that comprised of each
replication (together for scarified and un-scarified sclerotia) were taken from each flask
separately for each treatment. All plastic containers were then randomly placed in
controlled environment incubator (Thermoline, Australia) maintained at 15oC with 12h
light/dark cycle as described by Clarkson et al. (2003). At saturation, gravimetric
moisture content of the sand and compost was 22.1 and 64.5% respectively. Water
potential of the compost was maintained at -10 kPa by firstly measuring the initial
weight of every container containing the appropriate amount of water. Subsequently,
water added each week to maintain the weight of each container at the original weight
(Clarkson et al. 2003). However, containers with sand were watered up to saturation
(0.1 kPa) and water in these containers (with holes at the bottom) was freely drained,
maintaining moisture content at near to field capacity. All the plastic containers were
randomly redistributed within the incubator every month in order to ensure uniform
exposure to light and temperature. No treatment showed any sign of carpogenic
germination (i.e., no initiation of apothecial stipe) for the first four months of incubation
in the controlled environment cabinet (except for sclerotia in 0.5% water agar where a
few sclerotia of WW-3 carpogenically germinated). Plastic containers were then
transferred on the benches of an air conditioned laboratory where the maximum
temperature was maintained between 23 to 25oC. Redistribution of the container on the
lab benches was undertaken weekly to ensure uniform light and temperature exposure.
Sclerotia were monitored for stipe formation over two years i.e. 2006-07 and 2007-08
on a weekly basis.
The experimental design comprised of sclerotia, firstly subjected to scarification (or
maintained as un-scarified sclerotia), followed by conditioning with seven different
environmental factors (for both scarified and un-scarified sclerotia). The description of
all seven treatments and their respective temperature regimes used are summarized in
Table 1. The procedure for scarification and other details of the different environmental
factors tested, by application of seven treatments in this study, are described below.
4.3.3 Scarification
Scarification of the two isolates was performed using sand paper (medium-course, grit
size No. 80). Sclerotia were placed between two 8 x 8 cm sand paper sheets and were
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56
uniformly rubbed by hand for approx 30 sec by which time the light whitish medulla
layers of sclerotia were just visible. Scarification of sclerotia incubated on water agar
was done using autoclaved sand paper (120oC for 20 min) in a laminar flow cabinet.
Table 1 Different environmental treatments and the respective temperature regime used to stimulate carpogenic germination of scarified and un-scarified sclerotia of two isolates (MBRS-1 and WW-3) of Sclerotinia sclerotiorum.
S. No.
January 2007 – April 2007 May 2007 – December 2008 Time on which first apothecial stipe was visible
Treatment Temperature Treatment Temperature MBRS-1
WW-3
1 Sclerotia incubated in sterile distilled water
15oC Sclerotia transferred into sterilized river sand
23-25oC * Aug-07
2 Sclerotia in aerated water
4oC Sclerotia transferred into sterilized river sand
23-25oC Jul-08 Aug-07
3 Constant rinsing with tap water at 4oC for 8 weeks and subsequently transferred into sterile river sand at 15oC
4oC for 8 weeks and then 15oC
Sclerotia in sterilized river sand
23-25oC Jun-07 Jun-07
4 Cold-conditioning at 4oC for 4 weeks without sieving and then transferred to unsterilized compost at 15oC after sieving sclerotia with running water
4oC for 4 weeks and then 15oC
Sclerotia in unsterilized compost
23-25oC Oct-08 Sep-07
5 Sclerotia incubated in sterile river sand
15oC Sclerotia in sterilized river sand
23-25oC Oct-08 Aug-07
6 Air-drying of sclerotia for 2 weeks on lab bench and then incubation in sterilized river sand
15oC Sclerotia in sterilized river sand
23-25oC Nov-08 Jul-07
7 Sclerotia pressed into 0.5% sterilized water agar
15oC Sclerotia in 0.5% sterilized water agar
23-25oC Jun-08 Apr-07
*No carpogenic germination was recorded in this instance.
4.3.4 Treatments
4.3.4.1 Treatment 1
Sclerotia were incubated in sterilized distilled water in a plastic container containing
150 ml of sterilized distilled water (SDW) at 15oC as described by Grogan and Abawi
(1975), and Ekins et al. (2002). The water in plastic containers was changed every
week. Since no sclerotial germination was recorded for four months (January 2007-
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57
April 2007) in this treatment, these pre-conditioned sclerotia were then transferred into
sterilized river sand at 15oC, as some sclerotia in one replication were disintegrating
from having been in water for this period.
4.3.4.2 Treatment 2
Sclerotia were loosely packed in a cheese cloth bag and each replication was placed in a
separate container containing water with constant aeration (using an aquarium pump) at
4oC as described by Dillard et al. (1995), Nelson et al. (1988) and Cobb and Dillard
(1996). Water in the containers was changed every week. No carpogenic germination
was recorded in this treatment up to 4 months, when sclerotia were then transferred into
sterilized river sand at 15oC.
4.3.4.3 Treatment 3
Sclerotia were loosely packed in a cheese cloth bag and evenly distributed at the bottom
of a plastic container ( 36 x 20 x 17 cm) having holes (2 mm diameter) at one end. Each
box (with each replication) was placed at a 45o angle and positioned separately
underneath of the tap water with the end of the box with the holes furthest away from
the falling tap water from a height of 80 cm. Sclerotia were then subjected to constant
rinsing with tap water at a flow rate of approx. 3L/hr while maintained at 4oC for 8
weeks (Dillard et al., 1995), followed by subsequent placement of sclerotia into
sterilized river sand at 15oC.
4.3.4.4 Treatment 4
This treatment was according to the procedure described by Clarkson et al. (2003),
Mylchreest and Wheeler (1987) and Sansford and Coley-Smith (1992), but with slight
modifications. Mature sclerotia were cold conditioned by transferring the Erlenmeyer
flasks (250ml) with sclerotia to 4oC for 4 weeks. After this period, sclerotia were
removed from the flask and sieved under running tap water as described above.
Sclerotia were then air-dried overnight in a laminar flow cabinet and then evenly
distributed into a 2 cm layer of unsterilized organic compost at 15oC (Richgro®,
Jandakot, Western Australia) in plastic containers. Plastic containers were then placed
in a controlled environment incubator as described above.
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58
4.3.4.5 Treatment 5
Sclerotia were incubated in sterilized river sand at 15oC, directly after sieving with
water and without any preconditioning treatments, using the method as described by
Grogan and Abawi (1975).
4.3.4.6 Treatment 6
Sclerotia were air-dried for two weeks on a laboratory bench (Hao et al., 2003) followed
by incubation in sterilized river sand at 15oC, using the methods as described by Grogan
and Abawi (1975) and Steadman and Nickerson (1975).
4.3.4.7 Treatment 7
Sclerotia were sterilized with 70% ethanol for 30 sec in a laminar flow cabinet, and then
pressed 0.5 cm deep into 0.5% sterilized water agar (4 cm depth of water agar in total)
contained in a round plastic container (6.5 x 7.0 cm (diameter x height)) with the help of
sterilized forceps (Steadman and Nickerson, 1975; Sutton and Deverall, 1983). Plastic
containers with sclerotia and water agar were then incubated at 15oC.
4.3.5 Data collection and Data analysis
Sclerotia were observed weekly for stipe formation. Sclerotia for which stipe initiation
(up to 3 to 4 mm in size) was observed were removed from the respective plastic
containers in order to avoid any duplication of data. The total number of sclerotia
germinated in each replication of every treatment was compiled at the end of the two
year period. Square root transformation of the total number of sclerotia germinated in
each replication was undertaken to obtain a more normal distribution of the observed
data. The carpogenic germination data were then analyzed by three-way ANOVA using
GENSTAT (9th edition, Lawes Agricultural Trust, Rothamsted, UK). Fisher’s least
significant differences (l.s.d.) at P < 0.05 were used to test for differences between the
treatments. The comparison of scarified and un-scarified sclerotia in relation to
carpogenic germination when subjected to constant rinsing with tap water was also
made separately in the month of June at different time intervals by using a single factor
ANOVA using GENSTAT (9th edition, Lawes Agricultural Trust, Rothamsted, UK).
Progression of sclerotial germination in each month of each isolate was obtained by
adding the total number of sclerotia germinated for each replication of each treatment to
identify any evidence of seasonal rhythm in relation to the carpogenic germination.
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59
4.4 RESULTS
4.4.1 Effect of scarification, environmental treatment and isolate on carpogenic
germination of S. sclerotiorum
Overall, scarification enhanced the carpogenic germination of sclerotia of both the
isolates used. There was significantly greater (P < 0.05) carpogenic germination in
scarified than un-scarified sclerotia for both isolates (MBRS-1 and WW-3) of S.
sclerotiorum used in this study (Table 2).
Table 2 Three-way analysis of variance showing significance of effect of isolate, scarification and environmental treatments in relation to the carpogenic germination of the sclerotia of Sclerotinia sclerotiorum.
† n.s. = not significant at P ≤ 0.05, a Seven environmental treatments were used to induce carpogenic germination viz. 1) sclerotia incubated in sterilized distilled water, 2) sclerotia placed in water with constant aeration at 4oC, 3) sclerotia subjected to constant rinsing with tap water, 4) sclerotia cold-conditioned for four weeks at 4oC and then transferred into moist unsterilized compost, 5) sclerotia incubated in sterilized river sand, 6) sclerotia air-dried for two weeks on a laboratory bench and then incubated in sterilized moist river sand and, 7) sclerotia incubated in 0.5% water agar
Significant differences (P < 0.001) were also observed among different environmental
treatments used to induce carpogenic germination of the two isolates of the S.
sclerotiorum (Table 2). Carpogenic germination of the sclerotia of isolate MBRS-1,
tested in this study was greatest when sclerotia were subjected to constant rinsing with
tap water at 4oC. For WW-3 isolate, while the total number of sclerotia germinated was
greatest when subjected to constant rinsing with tap water, two other treatments (viz.
sterilized distilled water and sterilized river sand) produced similar high levels of
Significance of: P values l.s.d
Isolate < 0.001 0.17
Scarification < 0.05 0.17
Environmental treatmenta < 0.001 0.33
Isolate x Scarification n.s†. -
Isolate x Environmental treatment < 0.001 0.46
Scarification x Environmental treatment < 0.001 0.46
Isolate x Scarification x Environmental treatment n.s†.
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60
germination (Table 3; Fig. 1). However, sterilized distilled water and sterilized river
sand treatments resulted in sporadic germination patterns, with the majority of sclerotia
germinating only after 18 months of incubation. In contrast, the treatment involving
constant rinsing with tap water ensured reliable carpogenic germination of sclerotia of
both the isolates after only 5 months of incubation of sclerotia, with 90% of the sclerotia
germinating within the month of June itself. Further, overall carpogenic germination of
isolate WW-3, as observed across the different environmental treatments, was
significantly greater (P < 0.001) as compared to the isolate MBRS-1 (Table 2; Fig. 1).
Number of stipes observed per sclerotia varied from 1 to 5, with a median value of 1.0.
Moreover, for treatment 1, approx. 5% of the sclerotia of isolate MBRS-1 (when both
scarified and un-scarified sclerotia were taken together) appeared to have rotted.
0
10
20
30
40
50
60
1 2 3 4 5 6 7
Environmental treatments for carpogenic germination of S. sclerotiorum
Mea
n va
lue
of s
cler
otia
ger
min
ated MBRS-1
WW-3
Figure 1 The mean value of sclerotia germinated (scarified and un-scarified, taken together) for two isolates of Sclerotinia sclerotiorum. Error bars indicate the standard errors associated with the mean value of sclerotia germinated per treatment. The X- axis represents the various environmental treatments for stimulating carpogenic germination: 1) sclerotia incubated in sterilized distilled water, 2) sclerotia placed in water with constant aeration at 4oC, 3) sclerotia subjected to constant rinsing with tap water, 4) sclerotia cold-conditioned for four weeks at 4oC and then transferred into moist unsterilized compost, 5) sclerotia incubated in sterilized river sand, 6) sclerotia air-dried for two weeks on a laboratory bench and then incubated in sterilized moist river sand and, 7) sclerotia incubated in 0.5% water agar.
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Table 3 Carpogenic germination of scarified and un-scarified sclerotia from two isolates (MBRS-1 and WW-3) of Sclerotinia sclerotiorum when pre-conditioned with seven environmental treatments.
Number and percentage germinateda
Treatmentsb
Isolate Scarification 1 2 3 4 5 6 7
MBRS-1 Scarified 0(0) 2.68(30.0) 4.74(90.0) 1.14(7.00) 0.71(4.0) 0(0) 0.60(3.0)
Un-scarified 0(0) 2.21(22.0) 4.69(88.0) 0(0) 0(0) 0.35(2.0) 0.43(3.0)
WW-3 Scarified 4.51(82.0) 3.58(52.0) 4.87(95.00) 4.30(74.0) 4.74(90.0) 3.43(48.0) 2.36(23.0)
Un-scarified 4.82(93.0) 3.66(54.0) 4.84(94.0) 3.08(41.0) 2.76(32.0) 4.53(83.0) 3.38(46.0)
l.s.d (P < 0.05) 0,25 0.76 0.14 0.58 0.61 0.46 0.60
a25 sclerotia were tested for each replication of each treatment. Numbers in the table represent the mean values for carpogenic germination per
treatment after square root transformation, and numbers in parenthesis represent the percentage for carpogenic germination of sclerotia for the two
isolates for each environmental treatment. b1) sclerotia incubated in sterilized distilled water, 2) sclerotia placed in water with constant aeration at 4oC, 3) sclerotia subjected to constant rinsing
with tap water, 4) sclerotia cold-conditioned for four weeks at 4oC and then transferred into moist unsterilized compost, 5) sclerotia incubated in
sterilized river sand, 6) sclerotia air-dried for two weeks on a laboratory bench and then incubated in sterilized moist river sand and, 7) sclerotia
incubated in 0.5% water agar.
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62
4.4.2 Environmental treatment x scarification, isolate x scarification and isolate x
environmental treatment interactions
There was significant overall interaction between scarification and environmental
treatments (P < 0.001) in relation to the carpogenic germination. Scarification
significantly enhanced carpogenic germination of sclerotia for both the isolates but only
for certain environmental treatments, such as for sclerotia incubated in compost and in
sterilized river sand. However, for WW-3, carpogenic germination of un-scarified
sclerotia was improved, as compared to scarified sclerotia, when sclerotia were either
placed into 0.5% water agar (WW-3 only) or when air-dried for two weeks followed by
their placement into sterilized river sand. It is noteworthy that carpogenic germination
of the scarified and un-scarified sclerotia was comparable across the three treatments
where sclerotia had continuing exposure to water (i.e., sclerotia incubated in sterilized
distilled water; sclerotia placed in water with constant aeration at 4oC; and where
sclerotia were subjected to constant rinsing with tap water). However, of these three
treatments, with the constant rinsing with tap water treatment, carpogenic germination
of scarified sclerotia occurred one week earlier as compared with un-scarified sclerotia.
There was no significant interaction observed between isolates and the scarification
treatment in relation to the carpogenic germination, suggesting that enhanced
carpogenic germination in scarified sclerotia was independent of the isolate used.
There was a significant isolate x environmental treatment interaction (P < 0.001) with
respect to the carpogenic germination of the two isolates, suggesting that carpogenic
germination of the two isolates was influenced by the type of the environment
factor/treatment, as illustrated in data presented in Fig. 1.
As June, 2007, was the period when maximum carpogenic germination of WW-3 was
obtained, the effect of scarification on sclerotia subjected to constant rinsing with tap
water was also analyzed at different time intervals in this month. There were significant
differences between scarified and un-scarified sclerotia in relation to the carpogenic
germination for this isolate, showing an approximate one week earlier peaking of
carpogenic germination in scarified sclerotia compared with un-scarified sclerotia.
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63
There was no significant three-way interaction between isolate, scarification, and
environmental treatment with regard to the carpogenic germination of the sclerotia.
4.4.3 Seasonal rhythm of the two isolates in response to the time of the year
A seasonal rhythm-like pattern for carpogenic germination of the sclerotia of both
isolates (MBRS-1 and WW-3) was observed (Fig. 2). Maximum carpogenic
germination of the two isolates occurred from June to September for the two
consecutive years. There was little germination of sclerotia for MBRS-1 outside of this
period with only a few germinating over the period of October to December in second
year (Fig. 2). In contrast, there was relatively more germination outside the months from
June to September for isolate WW-3, as compared to MBRS-1, with some sclerotial
germination also occurring from January to May, 2007 and from September, 2007 to
May, 2008 (Fig. 2).
0
2
4
6
8
10
12
14
16
18
Jan-07
Feb-07
M ar-07
Apr-07
M ay-07
Jun-07
Jul-07
Aug-07
Sep-07
Oct-07
Nov-07
Dec-07
Jan-08
Feb-08
M ar-08
Apr-08
M ay-08
Jun-08
Jul-08
Aug-08
Oct-08
Nov-08
Dec-08
Time of the year
Mea
n va
lue
of s
cler
otia
ger
min
ated
M BRS-1
WW-3
LSD (M BRS-1)
LSD (WW-3)
Figure 2 The mean value of sclerotia showing carpogenic germination (per month) for two isolates (MBRS-1 and WW-3) of Sclerotinia sclerotiorum from January 2007 to December 2008. Numbers presented represent the mean values of total sclerotial (scarified and un-scarified) germination across all the environmental treatments for each isolate separately.
4.5 DISCUSSION
This is the first report, both of the enhanced carpogenic germination following
scarification and for the environmental factors that enhance carpogenic germination of
scarified sclerotia of S. sclerotiorum.
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64
Overall, carpogenic germination of scarified sclerotia was significantly better as
compared with un-scarified sclerotia, possibly for one or both of the following reasons:
Firstly, sclerotia of S. sclerotiorum are mainly comprised of two layers, an outer
pigmented rind and a medulla of prosenchymatous tissue (Saito, 1973; Kohn, 1979;
Willets and Wong, 1980). The primordia which originate from the medulla rupture the
rind and form young apothecial stipes (Saito, 1973). Artificial abrasion of the rind in
this study may have encouraged carpogenic germination of sclerotia as primordia
developing directly underneath of the ruptured rind may have greater opportunity to
grow as apothecial stipes. Secondly, the rind can also impose a constitutive dormancy of
the sclerotia because of being thick-walled and highly melanized (Coley–Smith and
Cooke, 1971). The act of physical scarification of the sclerotia may help in breaking this
dormancy by facilitating increased diffusion of oxygen and moisture through the
scarified surface, as these factors have been reported as essential for carpogenic
germination in S. sclerotiorum (Morrall, 1977; Bardin and Huang, 2001; Wu and
Subbarao, 2008).
There were significant interactions (P < 0.001) between scarification and the various
environmental factors tested and/or applied to stimulate carpogenic germination of
sclerotia of S. sclerotiorum. For instance, scarified sclerotia had higher levels of
carpogenic germination when incubated in compost or in sterilized river sand. In
contrast, carpogenic germination of un-scarified sclerotia was improved, as compared to
scarified sclerotia, when they were either placed into 0.5% water agar (WW-3, only) or
when air-dried for two weeks followed by their placement into sterilized river sand
(particularly for isolate WW-3).
It is noteworthy that carpogenic germination of the scarified and un-scarified sclerotia
was comparable where sclerotia had continued exposure to water in the three treatments
where sclerotia were incubated in sterilized distilled water, placed in water with
constant aeration at 4oC, or where subjected to constant rinsing with tap water.
However, of these three treatments, it was with constant rinsing with tap water that
carpogenic germination of the scarified sclerotia occurred one week earlier as compared
with un-scarified sclerotia. Moreover, it is interesting that the overall carpogenic
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65
germination for both isolates tested was greatest for this same treatment (constant
rinsing with tap water). Although, germination of sclerotia of isolate WW-3 incubated
in sterilized distilled water and in sterilized river sand were similar as with constant
rinsing with tap water (Fig. 1), sclerotia in the former two treatments, however, showed
an inconsistent germination pattern with most sclerotia germinating only after 18
months of incubation. In contrast, sclerotia of both isolates when placed under constant
rinsing with tap water, germinated after only 5 months. These findings are consistent
with Dillard et al. (1995) where carpogenic germination of the sclerotia was observed to
be the greatest when they were subjected to constant rinsing with water for 8 weeks.
The need for adequate oxygen and continuous exposure to water in order to break down
the sclerotial reserve material (i.e. required for carpogenic germination) (Bullock et al.,
1983) could explain the enhanced germination observed from constant rinsing with tap
water. Moreover, sclerotia of S. sclerotiorum are known to excrete many soluble
carbohydrates, salts, amino acids, proteins, lipids and enzymes during the development
and maturation phase (Chet and Henis, 1975; Willetts and Wong, 1980). These may also
include a range of sugars (e.g., glucose, sucrose and trehalose) and other organic and
inorganic compounds that have been reported to inhibit sclerotial germination (e.g.,
Steadman and Nickerson, 1975). Therefore, the enhancement of germination observed
with constant rinsing with tap water could also be a consequence of the leaching of the
inhibitory compounds present in the form of dried exudates on the sclerotial surface, as
suggested by Dillard et al. (1995).
Carpogenic germination of sclerotia of both isolates of S. sclerotiorum placed in water
with constant aeration and in sterilized distilled water was much less effective in
comparison with constant rinsing with tap water. This was despite all three methods
involving continual exposure of sclerotia to water. This difference could perhaps be due
to the presence of the inhibitors of carpogenic germination being contained within the
container for the first two treatments, but leached away in the treatment involving
constant rinsing with tap water. This may also be related to the substrate used for bulk
production of the sclerotia (Smith and Boland, 1989; Cobb and Dillard, 1996).
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66
A seasonal rhythm-like pattern in relation to the carpogenic germination from both
isolates of S. sclerotiorum tested was observed in this study (Fig. 2). The majority of
sclerotia for both isolates germinated between the months of June to September during
the two consecutive years (2007-08, 2008-09). The presence of a “biological clock”
relying on the accumulated information of daily photoperiodic changes and other
physical cues such as temperature, moisture and humidity has been suggested for insects
(Danks, 2005), with its proposed function being to provide an internal measure of the
external time (Bell-Pedersen et al., 1996). This is also evident in the present study
where the majority of carpogenic germination of sclerotia was initiated at and following
the arrival of appropriate seasonal timing and climatic conditions coinciding with the
availability of the host crop, including the flowering period. It is possible that the
exposure of sclerotia to extremely hot dry summers and then subsequently to cool wet
cropping seasons in the Mediterranean regions of southern Australia could be related to
the development of a seasonal rhythm-like pattern of S. sclerotiorum, as this could offer
a significant competitive advantage to the pathogen. Ideally, further studies on
carpogenic germination that examine the effects of age of sclerotia and include setting
experiments across different periods of the year, utilizing sclerotia from different
climatic zones and monitoring carpogenic germination under a range of different
controlled environment conditions, are needed to confirm these findings. Further,
studies at molecular level, such as those conducted for the Neurospora crassa circadian
system (de Paula et al., 2006; Dunlap and Loros, 2006), could then help to elucidate the
mechanism(s) involved.
As indicated above, overall, scarification or constant rinsing with tap water enhanced
the carpogenic germination of sclerotia under the environmental conditions that were
deployed in this study. Similarly, in the Mediterranean climate of southern Australia, it
may be possible that the opening rainfall events in the early winter period after the hot-
dry summer period could provide a somewhat similar “scrubbing effect” as that of
treatment conditions that were imposed in this study. Further, the unique soil
environment of the Mediterranean regions of southwest of Western Australia affects the
saprophytic and parasitic phases of fungal plant pathogens (Sivasithamparam, 1993).
This environment has also been shown to affect ageing and dormancy of seed in unusual
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67
ways (Tieu, 2000; Tieu et al., 2001), with their timing of germination coinciding with
the breaking rains following a hot period of the Mediterranean summer. However, it
remains a challenge to correlate the findings on factors influencing carpogenic
germination observed in this study directly with the influence of the complex
combinations of variable environmental factors operating under field conditions. Future
work based on confirming the results of similar conditioning treatments that were
deployed in this study, but involving burial of variously conditioned sclerotia in the
field under different climatic conditions, could help not only in developing prediction
models for carpogenic germination, and but also could lead to development of a disease
forecasting system for Sclerotinia for Brassica spp. in Australia as reported for lettuce
by Clarkson et al. (2007, 2004).
Overall, this study has shown, not only that carpogenic germination of scarified
sclerotia was significantly improved as compared with the un-scarified sclerotia, but,
that carpogenic germination was further enhanced by some environmental factors, such
as incubation of sclerotia in compost or in sterilized river sand. Moreover, while
carpogenic germination of scarified and un-scarified sclerotia was comparable within
the treatments where a continual supply of the water was maintained, scarified sclerotia
germinated slightly earlier than un-scarified sclerotia when subjected to constant rinsing
with tap water. Of all the environmental treatments, constant rinsing with tap water
maximized the carpogenic germination of the two isolates used in this study. The
seasonal rhythm-like pattern observed in this study in relation to the carpogenic
germination of S. sclerotiorum has not been previously reported and further
investigations into this aspect may offer valuable insights into pathogen behavior in the
field.
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68
CHAPTER 5 The Infection Processes of Sclerotinia sclerotiorum in cotyledon tissue of a resistant and susceptible genotype of Brassica napus
5.1 ABSTRACT
Sclerotinia sclerotiorum can attack more than 400 plant species worldwide. Very few
studies have investigated host-pathogen interactions at the plant surface and cellular
level in resistant genotypes of oilseed rape/canola (Brassica napus). The infection
processes of S. sclerotiorum on two B. napus genotypes, one resistant cv. Charlton and
one susceptible RQ001-02M2 by light and scanning electron microscopy from 4 hours
post inoculation (hpi) to 8 days post inoculation (dpi) were examined. The resistant cv.
Charlton impeded fungal growth at 1, 2 and 3 dpi, suppressed formation of appresoria
and infection cushions, caused extrusion of protoplast from hyphal cells and produced a
hypersensitive reaction. At 8 dpi, whilst in Charlton pathogen invasion was mainly
confined to the upper epidermis, in the susceptible RQ001-02M2, colonization up to the
spongy mesophyll cells was evident. Calcium oxalate crystals were found in the upper
epidermis and in palisade cells in susceptible RQ001-02M2 at 6 dpi, and throughout leaf
tissues at 8 dpi. In resistant Charlton, crystals were not observed at 6 dpi, whereas at 8
dpi they were mainly confined to the upper epidermis. Starch deposits were also more
prevalent in RQ001-02M2. This study demonstrates for the first time at the cellular
level that resistance to S. sclerotiorum in B. napus is a result of retardation of pathogen
development both on the plant surface and within host tissues. The resistance
mechanisms identified in this study will be useful for engineering disease resistant
genotypes and for developing markers for screening for resistance against this pathogen.
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69
5.2 INTRODUCTION
Sclerotinia sclerotiorum, the causal agent of stem rot, is a necrotrophic and non host-
specific fungal pathogen which can attack more than 400 plant species worldwide and is
now considered a serious threat to many economical important crops including soybean,
peanut and oilseed rape/canola (Brassica napus) (Boland and Hall, 1994; Hegedus and
Rimmer, 2005). Disease management through chemical and cultural practices is largely
unreliable and the level of host resistance to this pathogen is inadequate (Bolton et al.,
2006; Li et al., 2008). Studies of host-pathogen interactions at the cellular level will
contribute to development of more effective disease control measures (Lumsden, 1979;
Tariq and Jeffries, 1986).
The compatible interaction of S. sclerotiorum with several different host species has
been studied since the pioneering work of deBary (1886, 1887), who investigated the
formation of appresoria from germinating ascospores, and penetration dependence of
the mycelium upon the nutrient status of the inoculum. Subsequent studies undertaken
in bean (Lumsden and Dow, 1973; Abawi et al., 1975; Lumsden and Wergin, 1980;
Tariq and Jeffries, 1986), soybean (Sutton and Deverall, 1983), lettuce (Purdy, 1958;
Tariq and Jeffries, 1984), tomato (Purdy and Bardin, 1953; Purdy, 1958), potato (Jones,
1976), pea (Huang and Kokko, 1992), sunflower (Sedun and Brown, 1987) as well as in
oilseed rape/canola (Jamaux et al., 1995; Huang et al., 2008), investigated the infection
processes of S. sclerotiorum in compatible interactions. These studies confirmed that an
appropriate nutrient source such as flower petals, injured or senescent plant tissue is
required by the germinating ascospores both to establish a saprophytic phase and for
successful infection of healthy plants.
A few studies have examined the interaction between the pathogen and a resistant
genotype at the cellular or histological level including Dow and Lumsden (1975) in
common bean, Mondolot-Cosson and Andary (1994) and Rodriguez et al. (2004) in
sunflower. However, no such attempts have been made with resistant genotypes of
oilseed rape/canola. Studies of infection processes in incompatible interactions may
have been hampered due to the lack of material with resistance against this pathogen.
The situation is further exacerbated where adequate nutrients are availabile to the
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pathogen which encourages rapid ramification of the tissues, giving the host little time
to engage defence responses. For example, when colonized agar pieces or petals were
superimposed on leaves, formation of infection cushions led to invasion within a few
hours of inoculation (Lumsden and Dow, 1973; Abawi et al., 1975; Huang et al., 2008).
This study describes in detail the previously unreported infection processes of S.
sclerotiorum on cv. Charlton cotyledons, which has been shown to have resistance
against this pathogen (Garg et al., 2010b/Chapter 3). A moderately pathogenic strain
(i.e., an isolate with an intermediate reaction to several Brassica napus genotypes) of S.
sclerotiorum along with resistant and susceptible genotypes (Garg et al., 2010b/Chapter
3) was used. An artificial minimal medium (Leone and Tonneijck, 1990) instead of
flower petals or agar pieces was further used, to extend the initial interface between host
and the pathogen prior to cytological damage to the tissue. Results showed that the
factors involved in the expression of resistance against S. sclerotiorum in cv. Charlton
are impeded fungal growth, suppression of infection cushion development, protoplast
extrusion from hyphal cells and a hypersensitive response.
5.3 MATERIALS AND METHODS
5.3.1 Host genotypes
Two spring type B. napus genotypes, viz. Charlton and RQ001-02M2, were used in this
study. Charlton has resistance to S. sclerotiorum while RQ001-02M2 is highly
susceptible (Garg et al., 2008; Garg et al., 2010b). Both genotypes were grown in 13.7 x
6.6 x 4.9 cm trays, each having eight cells and containing a soil-less compost mixture
(Garg et al., 2008). Four seeds of each genotype were sown in each cell and thinned to
two seedlings per cell after emergence. Both genotypes were grown under controlled
environment conditions in a growth room at 18/14 (± 1) oC (day/night) with light
intensity of 150 µE m–2 s–1 (Garg et al., 2008) for 12 hours light/dark cycles. Seedlings
were grown until cotyledons were fully expanded, equivalent to growth stage 1.00 on
the scale given by Sylvester-Bradley and Makepeace (1984).
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5.3.2 S. sclerotiorum isolate
A single isolate of S. sclerotiorum WW-3, collected in 2004 from the Walkaway region
of Western Australia from a severely affected oilseed rape/canola crop was used
through out this study. The WW-3 isolate was previously reported to be moderately
pathogenic on several B. napus genotypes (Garg et al., 2010b/Chapter 3). Isolation,
surface sterilization and multiplication from a field-collected sclerotium were performed
as described by Clarkson et al. (2003).
5.3.3 Inoculum production
Apothecial production of isolate WW-3 was undertaken as described by Garg et al.
(2010c; Chapter 4). Apothecia bearing mature ascospores were formed after 3 months
incubation of pre-conditioned sclerotia in sterilized river sand in Petri plates. The
apothecia thus produced released ascospores for two weeks. Ascospores were collected
on a Millipore filter paper (Whatman, 42, Ashless, 125mm) by inverting a funnel
(containing the filter paper) over the Petri plate and by applying vacuum suction
(Steadman and Cook, 1974; Hunter et al., 1982). The filter paper with ascospores were
stored at 4oC in a desiccator containing silica gel (Ajax Finechem, NSW, Australia)
until needed as suggested by Steadman and Cook (1974) and Hunter et al., (1982).
5.3.4 Inoculum preparation, inoculation conditions and inoculation procedure
Individual cells containing two Brassica seedlings were placed in separate relative
humidity (RH) chambers to eliminate any possibility of cross contamination. Each RH
chamber comprised a 1 L snap-lock glass jar (Luminarc®, France) containing approx.
50 ml of a saturated salt solution of ZnSO4 to maintain RH above 90% at 18oC (Sun,
2002; Young, 1967). A support for each individual cell was made from mouldable
plastic mesh. Humidity levels and temperatures in individual jars were confirmed using
a humidity and temperature measuring meter (HM34C, VAISALA, Vic, Australia).
Two types of ascospore suspensions were prepared for inoculation of the seedlings. In
the first instance, free ascospores were obtained by immersing the filter paper
containing ascospores into deionised (DI) water. In the other instance, filter paper with
ascospores were immersed in a Pi-glucose medium (62.5 mM KH2PO4 + 5.5 mM
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72
glucose). This latter option was reported previously as a reliable medium to obtain leaf
lesions with ascospores of S. sclerotiorum in bean cultivars (Leone and Tonneijck,
1990). Ascospore concentration in both DI water and Pi-glucose medium was adjusted
to 2 x 106 spores ml-1 as suggested by Leone and Tonneijck (1990) using a
haemocytometer (SUPERIOR®, Berlin, Germany).
Three different inoculation treatments were performed, viz. 1) both B. napus genotypes
inoculated separately with an ascospore suspension prepared in a Pi-glucose medium, 2)
both genotypes inoculated separately with an ascospore suspension prepared in DI
water, and 3) both types of ascospore suspensions (i.e., prepared in Pi-glucose medium
or in DI water) were deposited separately on to glass microscope slides (Livingstone,
NSW, Australia). For the first and second inoculation, treatments, each cotyledon was
inoculated with four droplets (10 µL) ascospore suspension, with one drop on each
cotyledon lobe using a micropipette. For control comparison, 10 µL of DI water was
deposited onto each of the four cotyledon lobes as described above. A very fine mist of
water was sprayed by a hand-held mister both over cotyledons and on the insides of the
chamber lids. The glass microscope slides were placed in Petri dishes lined with wet
filter paper to maintain high humidity for spore germination. There were six replications
for each treatment for the samples taken for light microscopy studies and three
replications for each treatment for those taken for internal microscopy studies. Each RH
chamber containing B. napus seedlings and Petri dishes containing glass slides were
randomly placed on shelves inside a incubator (Model TLMRIL 396-1-SD-ADF,
Thermoline L+M, Australia) set at 18 ± 1oC day and 14 ± 1oC night (12 /12 h, 2x 15 W
cool white fluorescent tubes, average light intensity 50 µE m –2 s –1) for 12 hours
light/dark cycles. The chambers were monitored daily to maintain saturated salt
solutions and a constant level of RH.
5.3.5 Sample preparation for light microscopy
Inoculated cotyledons were sampled at 4 and 12 hours post inoculation (hpi), and then
daily for 6 days post inoculation (dpi). A total of six cotyledons (one from each replicate
plant from each treatment) were sampled at each of the eight time points. Sampled
cotyledons were decolourised in an acetic acid : ethanol : water (2:2:1) solution at 25oC.
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73
Cotyledons were then washed with two changes of DI water and stained with 1% cotton
blue in lactophenol (Hua Li et al., 2004). Whole wet mounts of cotyledons on
microscope glass slides were examined and photographed using a Zeiss Axioplan 2
microscope with an AxioCam digital photograph system with bright field optics (Hua Li
et al., 2007a; 2007b). One hundred spores were counted at six random fields of view per
cotyledon for six replication (one from each replicate plant from each treatment) ( (i.e.,
600 spores per treatment). The percentage spores germinated, hyphal penetration and
size of the appresoria were determined. The length of aerial hyphae and diameter of
protoplast extruded from fungal cells were measured by observing fifty spores at
random at inoculated sites across six cotyledons in each treatment at 12 hpi and daily
for 3 dpi.
5.3.6 Sample preparation for anatomical studies
Cotyledons were sampled for anatomical studies at 4, 6 and 8 dpi. Three cotyledons
were taken from each treatment and prepared for glycol methacrylate (GMA) biological
tissue sampling as described by Hua Li et al. (2004). Cross sections were stained for
detection of polyphenols and lignin (0.5% Toluidine Blue O in benzoate buffer, pH 4.4),
starch [periodic Acid/Schiff’s (PAS) reagent], and suberin (saturated Sudan Black B in
70% ethanol) (O’ Brien and McCully, 1981). Histochemical detection of calcium
oxalate crystals was performed as described by Yasue (1969) and Bonner and Dickinson
(1989). Control sections for studies in relation to calcium oxalate crystals were
immersed in 5 % acetic acid to remove calcium phosphate and carbonate, and then
stained as described by Yasue (1969). Sections were studied and photographed using
the Zeiss Axioplan 2 system as described above. In addition, unstained GMA sections
were also studied using the same microscope system, but with an excitation filter (G
365) and an emission filter (LP 420) inserted into a beam of incident light from a
mercury vapor lamp.
5.3.7 Sample preparation for scanning electron microscopy (SEM) studies
Plants were sampled at 4 hpi, 12 hpi and daily for 4 days. The infected segments of the
cotyledon were fixed in 2.5% glutaraldehyde in 0.05M phosphate buffer, pH 7, at 25oC
for 24 hours. Samples were then processed using the following microwave (PELCO,
BioWave Microwave Processor) preparation method. Specimens were vacuum
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74
infiltrated for 6 min (2 min on/2 min off/2 min on) at 80 W followed by washing with
0.05M phosphate buffer for 40 s at 80W. Samples were then dehydrated through a series
of ethanol solutions ranging from 50% to 100% (dry ethanol) and finally twice with 100
% dry acetone for 40 s at 250 W. Samples were then critically point dried (PELCO
Critical Point Dryer) using liquid carbon dioxide, sputter coated with gold and
examined using a JEOL 6400 scanning electron microscope (JEOL Ltd, Tokyo, Japan).
5.3.8 Statistical analysis
The ascospore germination and hyphal elongation data were analyzed separately by
analysis of variance using GenStat® (9th Edition, Lawes Agricultural Trust, Rothamsted
Experimental Station, UK). Fisher’s least significant differences (P < 0.05) were used
to calculate the differences between the two B. napus genotypes and inoculation
treatments. Average number of cells with starch deposits were determined by counting
the number of cells showing these interactions in six random sections taken for each of
the three replications of each genotype at every time course for internal anatomical
studies.
5.4 RESULTS
5.4.1 Ascospore germination and fungal development in DI water
Ascospore germination and fungal development on glass slides, resistant Charlton and
susceptible RQ001-02M2 when ascospore suspensions were prepared in DI water
Ascospore germination began within 2 hpi on both the resistant and susceptible
genotypes as well as on glass slides. Germination was observed as either a small
swelling at the end of the spore or a very short germ tube. More than 90% of the
ascospores germinated by 4 hpi, and there were, no significant differences between
glass slides, resistant or susceptible genotypes irrespective of whether ascospore
suspension was prepared in Pi-glucose medium or in DI water (Fig. 1A). Approximately
2% of ascospores exhibited germ tube elongation with average hyphal length of 16.0
µm at 12 hpi, but no further elongation of fungal hyphae was observed at 1 dpi.
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75
5.4.2 Ascospore germination and fungal development in Pi-glucose medium
Ascospore germination and fungal development on glass slides, resistant Charlton and
susceptible RQ001-02M2 when ascospore suspensions prepared in Pi-glucose medium
5.4.2.1 4 hpi
Germination of ascospores was observed within 2 hpi. At 4 hpi, there were no
significant differences between responses on glass slides, resistant or susceptible
genotypes irrespective of whether ascospore suspension was prepared in Pi-glucose
medium or in DI water (Table 1).
5.4.2.2 12 hpi
Germ tubes that emerged from ascospores continued growth on the upper surface of the
cotyledon (Fig. 1B). Hyphal length was significantly less (P < 0.001) on glass slides
(14.9 µm) compared with either resistant Charlton or susceptible RQ001-02M2 which
both had hyphal lengths of approx. 28 µm (Table 1).
5.4.2.3 1 dpi
Fungal hyphae continued growth on the surface of cotyledons of both genotypes (Fig.
1C) and on glass slides, and one or two very small lateral branches emerged from the
hyphae were also apparent (Fig. 1D). There was a significant increase (P < 0.001) in
hyphal length, especially on the susceptible RQ001-02M2, increasing from 28.0 µm at
12 hpi to 113.0 µm at 1 dpi. Significant increases (P < 0.001) in hyphal length were also
observed on cotyledons of the resistant Charlton with mean values progressing from
27.8 µm at 12 hpi to 70.8 µm at 1 dpi; as compared with glass slides where only a small
increase in hyphal length was observed from 14.9 µm at 12 hpi to 23.7 µm at 1 dpi
(Table 1). The mean value for hyphal length on the susceptible RQ001-02M2 (113.03
µm) was significantly greater (P < 0.001) than on the resistant Charlton (70.8 µm) by 1
dpi. In addition, slightly swollen hyphal apices were also observed, mainly on
susceptible RQ001-02M2 and on glass slides at 1 dpi (Table 2; Fig. 1C).
5.4.2.4 2 dpi
There was a slight increase in the length of aerial hyphae on cotyledons of both resistant
Charlton (from 70.8 to 77.2 µm) and susceptible RQ001-02M2 (from 113.0 to 122.7
CHAPTER 5
76
µm) at 2 dpi compared with 1 dpi. In contrast, a significant increase (P < 0.001) in
aerial hyphae length was observed on glass slides with mean values progressing from
23.7 µm at 1 dpi to 96.3 µm by 2 dpi. Moreover, lateral branches also increased in
length on both genotypes (Fig. 1E), and on glass slides (data not shown). The hyphal
apices on the surface of cotyledonary tissue of susceptible RQ001-02M2 (Fig. 1E) as
well as on glass slides showed dichotomous branching that gave rise to simple
appresoria. However, dichotomous branching of the terminal hyphae was not evident in
the resistant Charlton, despite a slight increase in diameter of the hyphal cells being
apparent in this genotype by 2 dpi (Table 2; Fig. 1F). Penetration of both host genotypes
by swollen hyphal apices at 2 dpi was observed where complex appresoria were not
formed. Both types of penetration i.e. stomatal penetration (Fig. 1G) and cuticular
penetration (Fig. 1H, 1I) were observed on both resistant Charlton and susceptible
RQ001-02M2. There were no differences between the resistant Charlton and susceptible
RQ001-02M2 in relation to the mode of penetration at this stage of the infection process
(data not shown).
5.4.2.5 3 dpi, and onwards
There was a significant increase (P < 0.001) in the length of fungal hyphae from 122.7
µm at 2 dpi to 347.9 µm at 3 dpi on the susceptible RQ001-02M2. However, there was
no further increase in hyphal length on the resistant Charlton or on glass slides (Table
1). Lateral branch lengths increased on both genotypes and on glass slides from 2 dpi to
3 dpi. Measurement of length of aerial hyphae was not possible by 4 dpi on the
susceptible RQ001-02M2 because of extensive growth of both primary hyphae and of
lateral branches. In addition, hyphae growth on the surface of cotyledon tissue of the
susceptible RQ001-02M2 at certain inoculation sites frequently appeared as dense
hyphal “mounds” as a result of the extensive mycelial growth at 4 dpi.
The sequence of events leading to the formation of appresoria from hyphal apices was
similar on glass slides and the susceptible RQ001-02M2. Simple appresoria apparent by
2 dpi (Fig. 1E), were further branched with more complex appresoria formed by 3 and 4
dpi (Fig. 1J). Repeated dichotomous branching of these appresoria eventually resulted
in dome shaped infection cushions by 6 dpi (Table 2; Fig. 1K). In contrast, no
appresoria or infection cushions were observed on the resistant Charlton.
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77
In addition to the impeded hyphal growth on the resistant Charlton, a significant
interplay was observed between the pathogen and resistant Charlton at 3 and 4 dpi.
Firstly, protoplast extrusions from the hyphal cells were observed, which were either
accompanied by cytoplasm shrinkage and/or an increase in hyphal cell diameters (Table
2; Fig. 1L); however, not in all instances (Fig. 1M). Secondly, there was an increase in
diameter of hyphal cells with time followed by the disintegration of the hyphal cell wall
resulting in the liberation of its contents (Fig. 1N). Extruded protoplasts were either
spherical in shape at average diameter of 3.9 µm (Fig. 1L), or amorphous (Fig. 1O,
2A). These were observed either at intercalary sites from within the fungal cells (Fig.
1L, M), or as bud-like extrusion of protoplast mainly at the apex of the hyphae (Fig.
2B). In some instances, protoplast extrusion was synchronous, occurring from
consecutive hyphal cells (Fig. 2C); in others, fewer hyphal cells extruded protoplasts.
Following the release of protoplasts, hyphal cells were found to be devoid of
cytoplasmic content by 5 dpi or 6 dpi (Fig. 2A).
5.4.3 Anatomical differences
5.4.3.1 4 dpi
In the susceptible RQ001-02M2, hyphae grew within intercellular spaces after
penetration and invaded the palisade mesophyll cells, with browning and
disorganization of epidermal cells beneath the germinated ascospores. In contrast, in the
resistant Charlton, fungal invasion was confined to upper epidermal layer (Table 3).
While, starch deposits were observed by this stage in both genotypes, they were,
however, more prevalent in susceptible RQ001-02M2 in the palisade mesophyll layer,
showing an average of 13 cells with starch grains per field of view at 100 x
magnification (Table 3; Fig. 2D) as compared to resistant Charlton, showing an average
of 3 cells per field of view at 100 x magnification. In addition, a hypersensitive reaction
was clearly evident in resistant Charlton, with cytoplasmic disorganization and darkly
stained areas around the dead palisade mesophyll cells evident at 4 dpi (Fig. 2E). While
cell death of some palisade mesophyll cells was also observed in susceptible RQ001-
02M2, no darkly stained areas were visible around these cells.
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78
5.4.3.2 6 dpi
Palisade mesophyll tissue of the susceptible RQ001-02M2 was extensively colonized by
mycelia in both intercellular and intracellular spaces, particularly where starch grains
were pronounced (Fig. 2F). The entire epidermal cell layer and the majority of
associated palisade mesophyll tissue were collapsed where infection cushions were in
close proximity (Fig. 2F). In contrast, fungal invasion was mainly confined to epidermal
layer in resistant Charlton, with only a few palisade mesophyll cells invaded by the
fungal hyphae and only in those areas where starch deposits were found. However,
extensive areas of disorganized protoplasts in the palisade mesophyll layer and
underneath the intact upper epidermis were evident in this genotype indicating a
hypersensitive reaction (Fig. 2G). Oxalic acid crystals, that were histochemically shown
to be calcium oxalate crystals, were visible in the epidermal and palisade mesophyll
tissues of susceptible RQ001-02M2 (Table 3; Fig. 2H). In contrast, in resistant
Charlton, no calcium oxalate crystals were found at this stage (Fig. 2I). While the
average number of cells with starch deposits in the resistant Charlton at 6 dpi were
similar to 4 dpi, it was not possible to count the number of cells with starch deposits in
the susceptible RQ001-02M2 because of the extensive deterioration of the palisade
mesophyll layer by the pathogen.
5.4.3.3 8 dpi
Hyphae continued growing in intercellular and intracellular spaces in susceptible
RQ001-02M2 and spongy mesophyll tissues were eventually invaded along with
extensive damage to palisade mesophyll cells. In contrast, colonization by the pathogen
was generally restricted to the epidermal layer in resistant Charlton (Fig. 2J), apart from
a very few cells in the palisade mesophyll layer where starch deposits were present.
Furthermore, calcium oxalate crystals were found in susceptible RQ001-02M2
throughout the leaf tissues from the upper epidermal to lower epidermal layers (Fig. 2K)
and the crystals were also observed in advance of the invading hyphae. While, calcium
oxalate crystals were also present in resistant Charlton, they were mainly confined to the
upper epidermal cells except for a very few palisade mesophyll cells where both starch
deposits and hyphal invasion were observed (Fig. 2L). The average number of cells with
starch deposits in resistant Charlton increased to 12 cells per field of view at 100x
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79
magnification by 8 dpi, similar to the number of cells with starch deposits in susceptible
RQ001-02M2 by 4 dpi (Table 3).
5.5 DISCUSSION
This study describes, for the first time, the factors involved in the infection processes of
S. sclerotiorum that are responsible for resistance to S. sclerotiorum in a resistant B.
napus genotype (cv. Charlton). The absence of significant differences between
ascospore germination on glass slides, resistant Charlton or susceptible RQ001-02M2 at
4 hpi, irrespective of whether water or the nutrient (Pi–glucose) medium was used for
preparing spore suspensions, suggest that signals for germination of ascospores are
triggered by the availability of adequate moisture and corroborate earlier findings of
Purdy (1958), Sutton and Deverall (1983) and Jamaux et al. (1995). These results
further suggest that both resistant Charlton and susceptible RQ001-02M2 are equally
likely to be infected at this early stage. Germ tubes emerging from ascospores only
continued growth when the ascospore suspension was prepared with Pi–glucose
medium. This confirmed the earlier studies demonstrating that the presence of nutrients
is essential for hyphal development, penetration and for subsequent establishment of a
successful invasion of a susceptible host by this pathogen (e.g., Abawi and Grogan,
1975; Jamaux et al., 1995). Furthermore, the frequency of stomatal and cuticular
penetration was similar on resistant Charlton and as on susceptible RQ001-02M2.
It is noteworthy that interplay between S. sclerotiorum and the cotyledons of the
resistant Charlton or susceptible RQ001-02M2 were evident by 1 dpi. Hyphal growth on
the cotyledons of the resistant Charlton was significantly impeded as measured at 1, 2
and 3 dpi. These results confirmed the earlier findings of Dow and Lumsden (1975)
where small and distorted infection hyphae were observed in disease-resistant tissues of
P. coccineus against S. sclerotiorum. Moreover, enhancement of hyphal activity on
susceptible tissue as compared with resistant Charlton and with glass slides, suggests
that signals from the susceptible RQ001-02M2 prompted hyphal activity on its surface.
In contrast, significantly impeded hyphal growth on the surface of resistant Charlton
suggests that this genotype produces certain antifungal/fungistatic compounds, as
suggested by Kowalska and Niks (1999) for a resistant flax (Linum usitatissimum)
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80
genotype against Melampsora lini and by Blakeman and Sztejnberg (1973) in beetroot
(Beta vulgaris) against Botrytis cinerea.
Infection cushions and/or complex appresoria were observed on the surface of glass
slides and on the susceptible genotype, but not on the resistant genotype. This is in
contrast to Dow and Lumsden (1975), who reported secondary infection cushions
beneath the cuticle and adjacent to the epidermis layer even in a resistant genotype of P.
coccineus. Further, it has been suggested that the complexity of the appresoria depends
on the nutritional status of the inoculum and the physical resistance of the surface that is
encountered by the fungus (Abawi et al., 1975; Tariq and Jeffries, 1984). However, the
complete absence of infection cushions on resistant Charlton indicates active
suppression of the infection cushions as a consequence of the incompatible interaction,
even though sufficient nutrients for fungal development should have been available.
Similarly, previous reports for S. sclerotiorum and other related pathogens such as S.
trifoliorum and Scleorotium rolfsii also indicated that the infection cushion assists with
breaching the cuticle barrier of the host epidermis by exerting mechanical pressure
(Boyle, 1921; Purdy, 1958; Lumsden and Dow, 1973; Lumsden and Wergin, 1980)
and/or by enzymatic dissolution of the host surface (e.g., Prior and Owen, 1964; Smith
et al., 1986; Tariq and Jeffries, 1986). From this study, it seems that active suppression
of the infection cushions by the resistant Charlton is the most important component of
the defence mechanisms through which this genotype resists penetration and
colonization by this pathogen.
The set of unique responses involving protoplast extrusion from hyphal cells only
occurred on the cotyledonary surface of the resistant Charlton. Although, there are
several reports regarding the liberation of protoplasts from filamentous fungi, including
ascomycetes, using artificial extracellular enzyme preparations such as chitinase and β-
glucanase which digest cell walls of fungal hyphae (e.g., Emerson and Emerson, 1958;
DeVries and Wessels, 1972; Dhar and Kaur, 2009), this is the first report where
protoplast extrusion from hyphal cells has been reported in any Brassica – S.
sclerotiorum pathosystem. Tariq and Jeffries (1986) described an ephemeral phase of
wall-less protoplasm in S. sclerotiorum in Phaseolus spp. when the infection peg arising
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81
from the infection cushion breached the cuticle of the host epidermis. The invading
protoplast rapidly swelled to form a subcuticular vesicle followed by the deposition of
the fungal cell wall which regained its ‘normal’ cell wall appearance. The notable
difference between their study and the present study is that the extrusion occurred on the
surface of cv. Charlton while the protoplast phase in the study of Tariq and Jeffries
(1986) occurred only within the host tissue. It is concluded that, in the present study, the
contents emerging from the fungal cells as protoplasts extrusion from hyphal cells were
not appresoria on the basis of the following arguments. Firstly, appresoria of S.
sclerotiorum on the surface of the susceptible host genotype always resulted from
dichotomous branching of the terminal hyphae (Lumsden, 1979) and not from the
intercalary hyphal cells as observed in this study. Secondly, the extensive shrinkage of
the cytoplasmic content of the hyphal cells (Fig. 2B), presence of hyphal cells devoid of
cytoplasmic content following protoplast extrusion (Fig. 2A), and disintegration of the
hyphal cells (Fig. 1N) as observed in this study, have not been previously reported.
Interestingly, different forms of protoplast extrusion were observed by light microscope
or SEM in this study, viz. bud like emergence of the protoplast from the hyphae at the
end or at the centre of the fungal hyphae (Fig. 1M, 2A), intercalary hyphal cells
swelling followed by protoplast extrusion (Fig. 1L), and, hyphal cells clearly devoid of
cytoplasmic contents following protoplast extrusion (Fig. 2A). These observations
clearly resembled those of previous reports where protoplast liberation of different
filamentous fungi was artificially induced (e.g., Bachmann and Bonner, 1959; Talburt
and Johnson, 1965; Bartnicki-Garcia and Lippman, 1966; Fenice et al., 1999), thus
supporting the idea that the contents emerging from the fungal cells were in fact
protoplast extrusions. Furthermore, extrusion of protoplasts by hyphal cells without
treatment with any extracellular enzyme preparations, suggests that the resistant
Charlton could be producing one or more cell wall degrading enzymes, such as those
reported for Brassica napus cultivar ZhongYou 821 (Zhao et al., 2009), causing a pore
or larger scale disruption of the hyphal cell wall. The occurrence of protoplast extrusion
from hyphal cells, and only on the resistant genotype, highlights the existence of a yet
undefined defence mechanism in the resistant Charlton to impede pathogen
development.
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82
Fungal invasion up to spongy mesophyll cells was observed in the susceptible RQ001-
02M2, but not in the resistant Charlton where the pathogen was generally confined to
the upper epidermis. The resistance to fungal invasion observed in the resistant Charlton
appears to be due to the hypersensitive reaction (HR) as evidenced by the localized
necrosis of the palisade mesophyll cells near the site of infection at 4 and 6 dpi . This
finding agrees with the previous finding of Garg et al. (2008/Chapter 2), where a HR
was frequently observed on the resistant Charlton. Additionally, cell death of palisade
mesophyll cells was also evident in susceptible RQ001-02M2 at 4 dpi. It is possible that
the cell death observed in susceptible RQ001-02M2 might have supported the growth of
this necrotrophic pathogen that obtains nutrients from the necrotic host tissues, similar
to the observations of Govrin and Levine (2000) in Arabidopsis thaliana, and Kim et al.
(2008) and Dickman et al. (2001) in Nicotiana tabacum. This is further evident in the
susceptible RQ001-02M2, where extensive colonization of the palisade mesophyll cells
at 6 dpi preceded the death of the same cells at 4 dpi. However, the production of
antifungal metabolites such as phytoalexins by resistant Charlton might have prevented
the invasion of mycelia into the plant tissues outside the HR lesion. This is further
supported by the histochemical examination of the HR lesions on the resistant Charlton,
where a number of darkly stained areas around the dead cells of palisade mesophyll
layer were observed when stained with toluidine blue. These darkly stained regions
indicate the presence of polyphenolic or phytoalexin compounds, similar to those
observed by Hua Li et al. (2007b) in association with infection of B. napus by
Leptosphaeria maculans, compounds known to be synthesized by plants in response to
infection or other stress conditions (Darvill and Albersheim, 1984; Beckman, 2000).
Moreover, the HR lesions observed in resistant Charlton could also be the consequence
of this particular patho-system and/or the inoculation procedure that were used in this
study.
Calcium oxalate crystals in the resistant Charlton were only observed at 8 dpi and were
mainly confined to the upper epidermis as compared with the susceptible genotype
where they were already present at 6 dpi and were observed throughout the cotyledon
tissue by 8 dpi. It has been suggested that oxalic acid produced by S. sclerotiorum, apart
from operating synergistically with pectolytic enzymes (e.g., Marciano et al., 1983;
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83
Godoy et al., 1990), also sequesters calcium from plant cell walls to form calcium
oxalate prior to the middle lamella being enzymatically degraded (Lumsden, 1979;
Punja et al., 1985; Thompson et al., 1995). A previous study of Qiu et al. (2001) also
established such crystals as calcium oxalate by SEM studies of sunflower infected with
S. sclerotiorum. Further, formation of crystals in bean and sunflower infected with S.
sclerotiorum has also been previously reported occurring in advance of the invading
hyphae (Lumsden and Dow, 1973; Smith et al., 1986). The reduced levels of calcium
oxalate crystals in the resistant Charlton is likely related to the impeded fungal growth,
as a direct relationship between mycelial growth and the amount of oxalic acid released
has been reported for Sclerotium rolfsii (Punja et al., 1985). Reduced oxalate could
possibly be caused by expression of an oxalate oxidase gene in the resistant Charlton
that promotes its oxidation into CO2 and H2O2 as reported in Helianthus annuus (Hu et
al., 2003) and in B. napus (Dong et al., 2008).
It is noteworthy that starch deposits were more prevalent in the susceptible RQ001-
02M2 as compared with the resistant Charlton by 4 dpi. In other host-pathogen
interactions particularly involving biotrophic pathogens such as rusts and powdery
mildews (Long et al., 1975; Minarcic and Janitor, 1994;) as well as with necrotrophic
fungi such as Kabatiella caulivora (Bayliss et al., 2001) or L. maculans (Hua Li et al.,
2007a), starch deposits were observed close to the infection site, as observed in this
study. Further, numerous studies, especially those involving biotrophic pathogens, have
reported pathogen interference with the source-sink relationship of the host genotype
and its ability to reprogram plant metabolism for the pathogen’s benefit such that
photosynthetic products (sucrose) start accumulating at (or near) the site of infection at
the expense of other parts of the host plant (e.g., Wright et al., 1995; Berger et al., 2007;
Kocal et al., 2008). Increase in the levels of photosynthetic products is accompanied by
the increased expression of invertase at the site of infection depending upon the type
and stage of the host-pathogen interaction (e.g., Long et al., 1975; Herbers et al., 2000;
Roitsch et al., 2003). Glucose and fructose, produced from hydrolysis of sucrose by acid
invertase (Chou et al., 2000), then undergo glycolysis leading to the formation of
triosephosphate that may penetrate into chloloplasts where it gets metabolized into
starch (Long et al., 1975). It is possible that the greater biomass of the pathogen in the
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84
susceptible RQ001-02M2 led to photosynthate accumulation within host tissues to a
greater extent as compared to the resistant genotype, and, correspondingly, increased
signals for invertase activity (Joosten et al., 1990) leading to the high starch
accumulation. The large accumulation of starch in susceptible RQ001-02M2 may have
provided the pathogen with the carbon source required for its saprophytic and parasitic
activities. This is further supported by Zhao et al. (2009) where changes in the
expression of several genes related to the carbon metabolism were found (in addition to
induction of genes related to invertase activity) in B. napus in response to S.
sclerotiorum infection, and suggested that the carbon storage reserves of the plants are
accessed and shuttled through the photorespiration pathway by this pathogen.
The current study has detailed the infection processes viz. impeded fungal growth,
active suppression of infection cushion development, protoplast extrusion, and the
hypersensitive response associated with resistance to S. sclerotiorum in B. napus and
highlighted the importance of retardation of pathogen development both on the plant
surface and within host tissues. The novel resistance mechanisms identified in this study
can be useful for strategic engineering of disease resistant genotypes and for developing
markers for screening for resistance against this pathogen.
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85
Table 1 Infection processes of Sclerotinia sclerotiorum isolate WW-3 on resistant Brassica napus cultivar Charlton and susceptible B. napus RQ001-02M2 cotyledons or on a glass surface. Analysis of variance (ANOVA) for percent ascospore germination at 4 hours post inoculation (hpi) (100 spores across six cotyledon per treatment) and hyphal length at 12 hours post inoculation, and at 1, 2 and 3 days post inoculation as an average of 50 spores across six cotyledons per treatment. Where there were significant differences, the numbers in parenthesis represent the number of degrees of freedom, the standard error of difference, and the % coefficient of variation, respectively.
Average hyphal length Hours/days post
inoculation Resistant genotype
(µm)
Susceptible
genotype (µm)
Glass slide (µm)
ANOVA of
resistant,
susceptible, and
glass slidesa
ANOVA of resistant
vs susceptibleb
ANOVA of resistant
vs glass slidesc
ANOVA of
susceptible vs
glass slidesd
4 hpi
-
-
-
ns
ns
ns
ns
12 hpi
27.8
28.1
14.9
P < 0.001
(892, 0.7, 12.3)
ns
P < 0.001
(593, 0.6, 13.4)
P < 0.001
(593, 0.6, 11.7)
1 dpi
70.8
113.0
23.7
P < 0.001
(892, 3.1, 7,9)
P < 0.001
(593, 3.7, 8.2)
P < 0.001
(593, 1.7, 24.5)
P < 0.001
(593, 3.2, 13.5)
2 dpi
77.2
122.7
96.3
P < 0.001
(892, 3.1, 4.0)
P < 0.001
(593, 3.0, 6.7)
P < 0.001
(593, 2.4, 5.2)
P < 0.001
(593, 3.7, 4.5)
3 dpi
78.4
347.9
98.8
P < 0.001
(892, 8.7, 7.5)
P < 0.001
(593, 10.2, 8.7)
P < 0.001
(593, 3.6, 6.3)
P < 0.001
(593, 10.5, 9.1)
ns’ represents not significant at P < 0.05 aOverall analysis of variance between resistant Charlton, susceptible RQ001-02M2 and glass slide data in relation to percentage of ascospores germinated (4 hpi) or hyphal length
(12 hpi, 1, 2 or 3 dpi). bAnalysis of variance between resistant Charlton with susceptible RQ001-02M2 in relation to percentage of ascospores germinated (4 hpi) or hyphal length (12 hpi, 1, 2 or 3 dpi). c Analysis of variance between resistant Charlton and glass slide in relation to percentage of ascospores germinated (4 hpi) or hyphal length (12 hpi, 1, 2 or 3 dpi). d Analysis of variance between susceptible RQ001-02M2 and glass slide in relation to percentage of ascospores germinated (4 hpi) or hyphal length (12 hpi, 1, 2 or 3 dpi).
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86
Table 2 Description of growth of Sclerotinia sclerotiorum isolate WW-3 on the surface of glass slides, resistant Brassica napus cv. Charlton and susceptible B. napus RQ001-02M2 cotyledons from 2 hours post inoculation (hpi) to 6 days post inoculation (dpi).
Hours/days post
inoculation
Resistant Susceptible Glass slide
2 hpi Ascospores beginning to germinate Ascospores beginning to germinate Ascospores beginning to germinate
4 hpi > 90 % ascospores germinated > 90 % ascospores germinated > 90 % ascospores germinated
12 hpi Germ tube elongation Germ tube elongation Germ tube elongation
1 dpi Increase in hyphal length, emergence of
small lateral branches
Increase in hyphal length, hyphal apices
swollen, emergence of small lateral
branches
Increase in hyphal length, hyphal apices
swollen, emergence of small lateral
branches
2 dpi Increase in diameter of some of the
hyphal cells, cytoplasmic content within
the hyphal cells started shrinking
Simple appressoria visible, increase in
length of fungal hyphae and of lateral
branches
Simple appressoria, increase in hyphal
length
3 dpi Extensive cytoplasm shrinkage in some of
the hyphal cells, protoplast extrusion
Complex appressoria, extensive increase
in length of fungal hyphae and of lateral
branches
Complex appressoria
4 dpi Protoplast extrusion, disintegration of the
hyphal cells
Complex appressoria Complex appressoria
6 dpi Protoplast extrusion, disintegration of the
hyphal cells, hyphal cells devoid of
cytoplasm
Infection cushion Infection cushion
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87
Table 3 Anatomical differences in resistant Brassica napus cv. Charlton and susceptible B. napus RQ001-02M2 cotyledons when inoculated with Sclerotinia sclerotiorum isolate WW-3 from 4, to 8 days post inoculation (dpi).
4 dpi
6 dpi
8 dpi
Description
Resistant Susceptible Resistant Susceptible Resistant Susceptible
Colonization of
fungus
Fungal hyphae
mainly confined to
upper epidermis
Fungal invasion up
to palisade
mesophyll layer
Fungal hyphae
mainly confined to
upper epidermis
Extensively
damaged palisade
mesophyll layer
Fungal hyphae
mainly confined to
upper epidermis,
but a few cells of
palisade mesophyll
layer were
colonized where
starch deposits
were observed
Fungal invasion in
intercellular and
intracellular spaces
of palisade
mesophyll cells and
spongy mesophyll
cells, extensively
damaged upper
epidermis and
palisade mesophyll
cells
Appressoria Simple appressoria
if present
Complex
appressoria
Simple appressoria
if present
Infection cushion Simple appressoria
if present
Infection cushion
Starch deposits (at
100 x magnification)
Average number of
cells with starch
deposits 3
Average number of
cells with starch
deposits 13
Average number of
cells with starch
deposits 3
All the cells with
starch deposits
heavily colonized
with fungus
Average number of
cells with starch
deposits12
All the cells with
starch deposits
heavily colonized
with fungus
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88
Calcium oxalate
crystals
No crystals were
visible
No crystals were
visible
No crystals were
visible
Crystals visible in
upper epidermis
and palisade
mesophyll layer
Crystals up to upper
epidermis and those
cells of palisade
mesophyll layer
where starch
deposits were found
Crystals through out
the leaf tissue from
upper epidermis to
lower epidermis
Hypersensitive-
type response/
cytoplasmic
disorganization
Extensive
cytoplasmic
disorganization
Extensive
cytoplasmic
disorganization and
necrotic cells
underneath of intact
epidermis
- -
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89
Figure 1
Light and scanning electron micrographs (SEM) following inoculation of Sclerotinia
sclerotiorum isolate WW-3 onto cotyledons of resistant cv. Charlton and susceptible RQ001-
02M2 Brassica napus as well as a glass slide surface. In A to G and K to N the samples were
cleared in acetic acid: ethanol: water (2:2:1), stained with 1 % cotton blue in lactophenol, and
photographed using a Zeiss Axioplan 2 microscope photograph system. (H) A 2 µm thick
section was photographed using an AxioCam Digital photograph system with an exciter filter
and a barrier filter into a beam of incident light from a mercury vapor lamp. (A) Ascospore
germination in distilled water on the surface of resistant Charlton at 4 hours post inoculation
(hpi). (B) Germ tube emerged from ascospores in Pi-glucose medium at 12 hpi on susceptible
RQ001-02M2. (C) Swollen hyphal apices (arrow) at 1 day post inoculation (dpi) on susceptible
RQ001-02M2. (D) Emergence of lateral hyphal branches (arrow) from aerial hyphae on
susceptible RQ001-02M2 at 1 dpi. (E) Repeated dichotomous branching (arrow) of the terminal
hyphae leading to formation of appresoria at 2 dpi on susceptible RQ001-02M2. (F) Limited
hyphal growth on resistant Charlton at 2 dpi. Arrows indicate a slight increase in hyphal
diameter. (G)-(I) Different modes of penetration by fungal hyphae observed at an early stage of
infection on the surface of resistant Charlton and susceptible RQ001-02M2, when ascospore
suspension was prepared in Pi-glucose medium. (G) Penetration through stomata (arrow) on
resistant Charlton. (H) Cuticular penetration (arrow) by the ascospore germ tube on susceptible
RQ001-02M2. (I) SEM of adaxial surface of the resistant Charlton demonstrating cuticular
penetration (arrow) by the fungal hyphae. (J) Repeated dichotomous branching of the terminal
hyphae (arrows) leading to the formation of appresoria at 3 dpi on a glass slide. (K) Infection
cushion on the surface of susceptible RQ001-02M2. (L) Protoplast extrusion in spherical forms
(smaller black arrows) accompanied by cytoplasm shrinkage (larger black arrow) and with
(larger red arrow) or without (larger green arrow) increase in hyphal cell diameter of hyphae on
resistant Charlton at 4 dpi. (M) Protoplast extrusion without any increase in diameter or
cytoplasm shrinkage of hyphal cell on resistant Charlton at 4 dpi. (N) Disintegration of hyphal
cell wall followed by liberation of cell contents (arrow) on resistant Charlton at 4 dpi. (O) SEM
of adaxial surface of the resistant Charlton demonstrating protoplast extrusion in amorphous
form (arrows) at 4 dpi.
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Figure 1
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Figure 2
Light micrographs showing histology of resistant Brassica napus cv. Charlton and susceptible
B. napus, RQ001-02M2 cotyledons following inoculation with Sclerotinia sclerotiorum isolate
WW-3 i. (A)-(C) Samples cleared in acetic acid: ethanol: water (2:2:1) and stained with 1%
cotton blue, and photographed using a Zeiss Axioplan 2 microscope photograph system. (D)-(I)
2 µm thick sections photographed using the same photograph system. Section (D) stained with
periodic acid / Schiff’s reagent. Sections (E), (F), (G) and (J) stained with 0.5% toluidine blue.
Sections (H), (I), (K) and (L) stained using the method described by Yasue (1969) for detection
of calcium oxalate crystals. (A) Protoplast extrusion in amorphous form (smaller arrows) and
hyphal cells devoid of cytoplasmic content (larger arrow) following release of protoplast on
resistant Charlton at 6 dpi. (B) Bud like extrusion of protoplast (arrow) at the apex of the fungal
hyphae on resistant Charlton. (C) Synchronous protoplast extrusion on resistant Charlton. (D)
Starch deposits (arrow) in palisade mesophyll cells of susceptible RQ001-02M2 at 4 dpi. (E)
Darkly stained areas (arrows) around the dead cells of palisade mesophyll layer at 4 dpi in
resistant Charlton. (F) Fungal invasion (smaller arrow) up to palisade mesophyll cells and
extensively damaged upper epidermis in susceptible RQ001-02M2 at 6 dpi. Note presence of
infection cushion near epidermis (larger arrow). (G) Cytoplasmic disorganization and necrotic
cells (arrows) of palisade mesophyll cells underneath of intact epidermis layer in resistant
Charlton at 6 dpi. (H) Calcium oxalate crystals (arrows) were visible in upper epidermis and
palisade mesophyll cells in susceptible RQ001-02M2 at 6 dpi. (I) Resistant Charlton at 6 dpi
without evidence of calcium oxalate crystals. (J) Fungal invasion mainly confined to upper
epidermis in resistant Charlton at 8 dpi. (K) Calcium oxalate crystals present throughout the leaf
tissue at 8 dpi in susceptible RQ001-02M2. (L) Calcium oxalate crystals mainly confined to
upper epidermis in resistant Charlton at 8 dpi.
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Figure 2
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CHAPTER 6 Differentially Expressed Proteins Associated with Compatible and Incompatible Interactions of the Brassica napus – Sclerotinia sclerotiorum Pathosystem
6.1 ABSTRACT
Sclerotinia rot caused by the fungus Sclerotinia sclerotiorum is one of the most serious
and damaging diseases of oilseed rape. To understand the mechanism of resistance
expressed in the Brassica napus – S. sclerotiorum pathosystem, a comparative
histological and proteomic analysis was conducted of two B. napus genotypes that were
previously identified to exhibit resistant (cv. Charlton) or susceptible (cv. RQ001-
02M2) reactions in response to infection by S. sclerotiorum. Significant differences (P ≤
0.001) were observed between the resistant Charlton and the susceptible RQ001-02M2
at 72 and 96 h post inoculation (hpi) in terms of a lesion size on cotyledon. Anatomical
investigations revealed impeded fungal growth (at 24 hpi and onwards) only on the
resistant Charlton. Temporal changes (12, 24, 48 and 72 hpi) in protein profile were
investigated in both B. napus genotypes in response to the pathogen challenge using
two-dimensional electrophoresis. The proteins related to antioxidant defence
(glutathione S-transferaes, monodehydroascorbate reductase) were found to increase in
abundance only in the resistant Charlton. The resistant Charlton also showed increased
activity of proteins related to hormone biosynthesis (S-adenosylmethionine synthase),
protein synthesis (cysteine synthase), protein folding (20 kDa chaperonin) and
metabolic pathways (e.g., carbonic anhydrase). The coordinated expression of all these
proteins is considered to be responsible for mediating defence responses in the resistant
Charlton. Deploying a proteomic approach in the incompatible interaction of the B.
napus and S. sclerotiorum pathosystem, this study gives novel insights into the
resistance mechanisms of B. napus against S. sclerotiorum and can form the basis for
development of markers for disease resistance.
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6.2 INTRODUCTION
Sclerotinia sclerotiorum, the causal agent of Sclerotinia disease, is one of the most
destructive and cosmopolitan of plant pathogens (Bolton et al., 2006). This necrotrophic
fungal pathogen attacks over 400 plant species worldwide, and is now considered a
serious threat to many economical important crops, including soybean (Glycine max),
sunflower (Helianthus annus) and canola (Brassica napus) (e.g., Boland & Hall, 1994;
Hegedus & Rimmer, 2005). The collective annual losses from S. sclerotiorum in the
United States from different crop species have exceeded $200 million (Bolton et al.,
2006), and yield losses as high as 24% have been recorded in canola in Australia (Hind-
Lanoiselet, 2004). Effective disease control measures against S. sclerotiorum continues
to be a challenge because of the inefficiency of the chemical control in managing this
disease, largely due to difficulty in timing the application with the release of ascospores
(Bolton et al., 2006). Further, cultural practices tend to avoid or reduce the severity of
Sclerotinia stem rot, but none effectively controls S. sclerotiorum on its own. Host
resistance offers the only economic and sustainable method for effectively managing
this disease. However, the level of host resistance to this pathogen is still inadequate
(Bolton et al., 2006; Li et al., 2008), except for few studies where useful levels of host
resistance have been identified in Brassica spp. (e.g., Li et al., 2007, Garg et al.,
2010a/Chapter 7).
A complex combination of factors has been reported to determine the severity of the
disease caused by S. sclerotiorum (Lumsden, 1979). These include the ability of this
pathogen to produce oxalic acid and various hydrolytic enzymes, such as pectinases and
polygalactouronases, by which this fungus can establish itself within the host species so
rapidly that it does not give adequate time for the host plant to fully engage defence
responses (Lumsden, 1979; Godoy et al., 1990; Li et al., 2004a). A number of studies
have thus focused on understanding the molecular aspects to pathogenicity of this
fungus, with much emphasis given on oxalic acid and cell wall degrading enzymes (e.g.,
Cessna et al., 2000; Guimaraes et al., 2004; Li et al., 2004b) as well as on
engineering/identifying resistance against various secretome of S. sclerotiorum. For
example, Hu et al. (2003) demonstrated that transgenic sunflower constitutively
expressing a wheat oxalate oxidase gene exhibited enhanced resistance against this
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pathogen. Similarly, polygalacturonase inhibitor genes that responded to the infection
caused by S. sclerotiorum have also been characterised in B. napus (Hegedus et al.,
2008). In addition, breeding efforts have been made to define the inheritance of
resistance, mainly by identifying various quantitative traits loci (QTLs) associated with
resistance against this pathogen (Micic et al., 2005; Zhao et al., 2006). In spite of studies
at the molecular level in relation to the various cell wall degrading enzymes, and of
various breeding efforts to understand the genetic basis of resistance, defence responses
of various host species against S. sclerotiorum have been, at best, poorly characterized.
This may be a consequence of the multi-factorial defence responses that can be
occurring in response to infection by this pathogen (Zhao et al., 2007). Hence, detailed
molecular investigations are warranted to elucidate the mechanism of resistance against
this pathogen. Identification of the genes mediating the defence responses against S.
sclerotiorum will not only enhance the understanding of molecular basis of resistance,
but will also help to develop effective disease control measures and molecular markers
for disease resistance (Calla et al., 2009).
Relatively few genomic-based approaches have been deployed so far which detail
changes in gene expression profile mediating the host responses to the infection of S.
sclerotiorum. Li et al. (2004a), identified several genes associated with fungal
pathogenesis by monitoring expressed sequence tags (ESTs) generated from two cDNA
libraries of fungal genes during mycelial growth of S. sclerotiorum in pectin medium or
in infected tissues of B. napus stems. Subsequently, four particular studies based on
microarray platform were conducted to investigate the B. napus responses to S.
sclerotiorum. Of these, three focused on the molecular basis of defence where gene
expression changes associated with S. sclerotiorum infection in a partially resistant and
a susceptible genotype of oilseed B. napus were investigated using either cDNA
microarray (Liu et al., 2005) or an oligonucleotide platform (Zhao et al., 2007, 2008).
However, Yang et al. (2007) investigated the genes responsible for mediating plant
responses to the pathogen by comparing the leaf tissue of inoculated vs. non-inoculated
susceptible B. napus genotypes. Microarray screen has also been conducted in a
partially resistant and a susceptible genotype of soybean to identify genes responsible
for defence responses against S. sclerotiorum (Calla et al., 2009). More recently, a
quantitative RT-PCR approach has been used by Yang et al. (2009) to examine the
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expression of five orthologs of B. napus genes involved in defence signaling pathways
in response to challenge by S. sclerotiorum.
It is interesting that most of our knowledge of the molecular events occurring in the
incompatible interaction of B. napus-S.sclerotiorum pathosystem has come from
microarray analysis. However, there is no such study in which a proteomics approach
has been deployed in the incompatible interaction of B. napus-S. sclerotiorum
pathosystem, even though the protein profile of a compatible interaction of this
pathosystem (Liang et al., 2008) and of fungal mycelia of S. sclerotiorum and its
secretome have already been explored (Yajima and Kav, 2006). Proteomic analysis is
now considered to be a powerful tool to study plant-pathogen interaction such as those
involving 2-DE techniques by which differentially expressed proteins induced in
response to the pathogen challenge can be identified (Colditz et al., 2007; Sharma et al.,
2008). This technique is a valuable complement for genomic approaches for
investigations into plant-pathogen interactions at the molecular level, particularly as it
provides a continuity between genome sequence information with the protein profile,
which in turn indicates possible biochemical cellular pathways involved (Mehta et al.,
2008). A poor correlation between the mRNA transcript levels and protein abundance
reported in different studies further necessitates the use of such genomic approaches
(Gygi et al., 1999; Carpentier et al., 2008) in B. napus-S. sclerotiorum pathosystem, in
which the defence mechanism is poorly understood.
The identification of a B. napus genotype by Garg et al. (2008/Chapter 2) (cv. Charlton)
capable of resisting invasion by S. sclerotiorum through a hypersensitive response (HR)
at cotyledon stage provided a model pathosystem to study the mechanism(s) of
resistance to this pathogen. In the present study, the proteome-level changes associated
with the cotyledon tissues of a B. napus genotypes (cv. Charlton) in response to S.
sclerotiorum infection are reported. Details of the disease progression and infection
processes of S. sclerotiorum on resistant and susceptible genotypes are included to
relate them to the proteomic changes observed. Moreover, nine enzymes of the
pathogen origin (S. sclerotiorum) extracted from the infected tissue of the B. napus
genotypes are also identified. Finally, the relationships between morphological,
histological and protein factors in susceptible and resistant host genotypes in response to
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the pathogen challenges defines the expression of resistance to S. sclerotiorum in B.
napus.
6.3 METHODOLOGY
6.3.1 Host genotypes, S. sclerotiorum isolate and inoculation procedure
Two spring type B. napus genotypes, viz. Charlton and RQ001-02M2, were used in this
study. The cv. Charlton has resistance to S. sclerotiorum while RQ001-02M2 is highly
susceptible (Garg et al., 2008/Chapter 2; 2010b/Chapter 3). Both genotypes were grown
in 13.7 x 6.6 x 4.9 cm trays, each having eight cells and containing a soil-less compost
mixture. Groups of four (eight cells) trays (two containing the resistant Charlton and
two the susceptible RQ001-02M2) were placed randomly in 10-L plastic storage boxes
(34 x 13 x 23 cm). Two seeds of each genotype were sown in each cell and then
thinned to one seedling per cell after emergence. Both test lines were grown under
controlled environment growth room conditions of 18/14 (±1)oC (day/night) for 12
hours light/dark cycles, with light intensity of 150 µE m–2 s–1. A highly virulent isolate
of S. sclerotiorum (MBRS-5) collected from the Mount Barker region of Western
Australia (WA), from a site where there was a significant disease, was used throughout
in this study (Garg et al., 2010b/Chapter 3). All the test conditions, inoculum storage,
inoculum production, inoculation method and disease assessment were carried out as
described by Garg et al. (2008/Chapter 2). Inoculations were carried out when
cotyledons were 10-d old. Macerated mycelial suspension at a concentration of 2 x 104
fragments mL-1, prepared in sterilized liquid media (Potato Dextrose Broth 24 g,
Peptone 10 g, H2O 1 L), was used. A total of four droplets of mycelial suspension of 10
µl were deposited on each seedling using a micropipette, with a single drop on each
cotyledon lobe. The sterilized liquid medium (un-inoculated) was similarly deposited on
the cotyledons of both lines as a control comparison. Disease progression was
monitored at 24, 48, 72 and 96 h post inoculation (hpi).
6.3.2 Histology
Cotyledons were sampled at 12, 24, 48 and 72 hpi. Six cotyledons from each treatment
(inoculated and non-inoculated treatments of both test genotypes, and from separate
inoculated boxes) were removed from each of the six plants at each time interval.
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Sampled cotyledons were decolourised by the acetic acid : ethanol : water (2:2:1)
solution at 25oC. At the time of examination, cotyledons were washed with two changes
of DI water and stained with 1% cotton blue (Hua Li et al., 2004). Whole wet mounts of
cotyledons on microscope glass slides were then examined and photographed using a
Zeiss Axioplan 2 microscope with an AxioCam digital photograph system with bright
field optics (Hua Li et al., 2007a; 2007b). Cotyledons were sampled for anatomical
studies at 24, 48 and 72 hpi. Three cotyledons (from three separate seedlings) from each
treatment (inoculated and non-inoculated treatments of both test genotypes) were
prepared for glycol methacrylate (GMA) biological tissue sampling as described by Hua
Li et al. (2004). Cross sections were stained for detection of polyphenols and lignin
(0.5% Toluidine Blue O in benzoate buffer, pH 4.4), and were photographed as
described above.
6.3.3 Protein extraction
Cotyledons were sampled at 12, 24, 48 and 72 hpi for this experiment. Twenty
cotyledons were randomly harvested from twenty different seedlings (per treatment),
pooled and flash frozen in liquid nitrogen and then stored at -80oC until protein
extractions were carried out. Experimental design comprised three replications (pooled
cotyledon tissue from twenty different plants per replication), for each treatment (i.e.
resistant, resistant control, susceptible and susceptible control), and for each time of
sampling. Three independent protein extractions were performed (one protein extraction
per replication) for each treatment and for each time of sampling.
Protein extractions were performed as described by Jacobs et al. (2001) and Marra et al.
(2006), with some modifications. The pooled B. napus cotyledons (approximately
2g/replication) were ground to a fine powder using liquid nitrogen and then suspended
in 10 ml of cold (-20°C) acetone solution containing 20% trichloroacetic acid (TCA;
Sigma-Aldrich, Australia) and 0.2% dithiothreitol (DTT; Sigma-Aldrich, Australia) in a
centrifuge tube. The samples were maintained at -20°C for at least 4 h to allow
complete protein precipitation, and then centrifuged (20 min, 30,000g at 4°C). The
supernatant was discarded and the pellet was re-suspended in 5 ml of cold acetone
solution (-20°C) containing 0.2% DTT and centrifuged as described above. The dried
pellet was re-suspended in a rehydration buffer containing 7 M urea, 2 M thiourea, 1%
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DTT, 2% 3-[(3-cholamidopropyl)-dimethyl-ammonia]-1-propane sulfonate (CHAPS)
(Sigma), 10mM phenylmethylsulfonyl fluoride (PMSF) (Sigma). The samples were
then centrifuged (60 min, 30,000g at 20°C), and supernatant were recovered, and
transferred to fresh eppendorf tubes and stored at –20°C. Protein concentration was
determined by a Bradford Dc protein assay (Bio-Rad, Gladesville, NSW, Australia).
The samples were then cleaned by using ReadyPrepTM 2-D Cleanup Kit (Bio-Rad)
according to the manufacturer’s instructions in order to remove ionic impurities from
the samples, re-suspended in rehydration buffer, and concentrations re-determined using
the same protein assay, and finally, stored at –20°C until use.
6.3.4 Two-dimensional electrophoresis
Isoelectric focusing (IEF) of protein extracts in the first dimension was mainly
performed as described by Marra et al. (2006) with some modifications. One 2-DE gel
was performed for each replication for each treatment and for each time of sampling.
IEF was performed by using 11 cm immobilized-pH-gradient (IPG) strips (Bio-Rad)
with a pH range from 4 to 7. The strips were passively rehydrated overnight in a
immobiline drystrip reswelling tray, with 500 µg of protein in 200 µl of solution
containing 7 M urea, 2 M thiourea, 1% DTT, 2% CHAPS, 10mM PMSF and 2% Bio-
Lyte (Bio-Rad). IEF was performed using the PROTEAN IEF Cell system (Bio-Rad).
IPG strips were focused at 300 V for 1 min, gradient from 300 to 3500 V for 1.5 h, and
3500 V for 4 h. The focused IPG strips were equilibrated in 10 ml of equilibration
buffer containing 6 M urea, 50 mM Tris/HCl pH 8.8, 20% (v/v) glycerol, 2% (w/v)
SDS, and 2% DTT for 10 min followed by a second equilibration in the same
equilibration buffer containing 2.5% of iodoacetamide instead of DTT for another 10
min. IPG strips were finally loaded on a 12.5% polyacrylamide gels (20 x 20 cm, 1.5
mm thickness, containing 0.377 M Tris-HCl pH 8.8, 0.1% SDS, 0.5% ammonium per
sulphate, 12.5% arylamide/bis, and 0.5% TEMED) in a PROTEAN II XI cell (Bio-
Rad), and run at 15 mA per gel for 30 min, and then increased to 30 mA per gel until
dye front reached the bottom of the gel. Gels were fixed for three times in Colloidal
Coomassie blue (CCB) fixing solution (30% absolute alcohol and 2.0% of concentrated
H3PO4) for 30 min each, rinsed three times in CCB rinsing solution (2.0% H3PO4) for
20 mins each, and then equilibrated in CCB equilibration solution (18% ethanol, 2%
H3PO4, 15% (NH4)2SO4) for 30 min. Gels were finally stained with CCB equilibration
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solution containing 2 x 10-4 % of Coomassie brilliant blue G-250 (Bio-Rad) for three
days and then detained in distilled water until protein spots were clearly visible. Gels
were scanned by GS-800 imaging densitometer (Bio-Rad) with a red filter (wavelength
595-750 nm) and a resolution of 63.5 x 63.5 µm.
6.3.5 Image analysis and protein identification
PDQuest software (version 8.0.1) was used to assemble and analyse the gel images. Out
of the three 2-DE gels run per treatment, the two best gels were selected to perform
statistical analysis using PDQuest software. Eight gels [two replicates per treatment and
four treatments in total (control vs. inoculated)] together consisted of one complete
independent match set for each time course. Various criteria of PDQuest software (such
as sensitivity, smoothing, streaks etc.) were kept constant for the different time course
evaluated. Normalization of the spots data using a local regression model was done
utilizing the inbuilt feature of the PDQuest software to compensate for any gel to gel
variation. The automated spot detection feature of the PDQuest software was then used
to detect, match and compare spots between control and inoculated treatments of
resistant or susceptible genotype. The group consensus feature of the software was used
to manually match/check each spots within replicates of each treatment. Several
stringent criteria were followed for the spots which were retained in the each replicated
group. For instance, every spot of the replicate group was matched manually, all the
apparent artifacts were removed and any spots that were missed by the automated spot
detection feature of the software were manually added. Finally, only those spots that
were present in both gels were retained in the replicate group of each treatment, such
that the correlation coefficient for each individual replicate group was ~1.0. The
information of all the spots which were manually matched and/or removed was updated
in the standard gel either by the PDQuest software automatically or was done manually.
The inbuilt Student’s t-test module of the PDQuest software was used to analyze
different replicate groups, and protein spots were identified that were significantly
different (P < 0.05) in response to the pathogen challenge in inoculated replicate groups
of resistant or susceptible genotype in comparison to the respective control replicate
group (both qualitative and quantitative analysis were performed).
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In addition to the inbuilt Student’s t-test module of the PDQuest software, additional
statistical analysis was also done to verify whether the spots identified were
significantly different (P < 0.05) in terms of their change in abundance in response to
the pathogen challenge. A match set comprising all the gels of all the treatments, and
across all the time courses was created. Average spot densities were measured from the
filtered images (to reduce the ‘noise’) for each spot that were statistically measured as
significantly different (by PDQuest software) for each replication across all the
treatments and time courses. Each spot densitiy value comprises the sum of the signal
intensities (expressed as spot/optical density units) of all the pixels that make up the
object. Expression ratios (fold changes) for each spot for every treatment across all the
time points were calculated from the spot densities data with respect to their control
genotype (i.e. resistant vs resistant control or susceptible vs susceptible control at 12, 24,
48 and 72 hpi, separately). Spot densities were further analysed using additional
Student’s t-test comparisons of resistant or susceptible genotypes with respect to control
genotypes at a specific time point (e.g., resistant vs resistant control or susceptible vs
susceptible control at 12, 24, 48 and 72 hpi, separately).
Protein spots that exhibited statistically significant differences (P < 0.05) and
reproducible results in terms of their spot density measured through PDQuest software,
were excised with a sterile scalpel. Excised pieces of the gel were further processed by
“Proteomics International”, Nedlands, Western Australia. Protein samples were trypsin-
digested and peptides extracted using standard techniques as described by Bringans et
al. (2008). Peptides were analysed by MALDI TOF-TOF (electrospray ionisation
MS/MS) mass spectrometer using a 4800 Proteomics Analyzer (Applied
Biosystems/MDS SCIEX). Spectra were analysed to identify protein of interest using
Mascot sequence matching software [Matrix Science] with Ludwig NR Database
(http://www.matrixscience.com/help/seq_db_setup_nr.html).
6.4 RESULTS
6.4.1 Morphological differences
The responses of the resistant and susceptible genotypes following inoculation and their
respective disease progressions at 24, 48, 72 and 96 hpi are shown in Figs. 1 and 2.
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Hypersensitive lesions were apparent only on cotyledons of the resistant genotype.
Water-soaked lesions were visible on cotyledons of the susceptible genotype at 48 hpi.
After 48 hpi, an increase in cotyledon lesion diameter was observed only on the
susceptible genotype with its mean value progressing from 3.4 mm at 48 hpi to 6.2 mm
at 72 hpi, and then to 10.5 mm at 96 hpi. Furthermore, cotyledons of the susceptible
genotype were covered with white mycelial growth by 96 hpi. In contrast, lesions on the
resistant genotype remained small (approx. 3.5 mm) and were always confined within
the diameter of the inoculum droplet at 48, 72 and 96 hpi. There were significant
differences (P ≤ 0.001) between resistant and susceptible genotypes in relation to
cotyledon lesion diameters at 72 and 96 hpi.
0
2
4
6
8
10
12
1 dpi 2 dpi 3 dpi 4 dpi
Days post inoculation
Cot
yled
on le
sion
dia
met
er (
mm
)
Charlton
RQ001-02M2
Figure 1 Mean value of cotyledon lesion diameter (mm), days post inoculation (dpi) on spring type Brassica napus resistant Charlton and susceptible RQ001-02M2. Bar on each value represents standard error associated with the mean value of cotyledon lesion diameter.
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Figure 2 Appearance of spring type Brassica napus resistant Charlton and susceptible RQ001-02M2 when inoculated with Sclerotinia sclerotiorum, over time. Where “hpi” represents hours post inoculation and “control” represents the mock inoculated control comparison of resistant and susceptible genotype.
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6.4.2 Histological differences
6.4.2.1 12 hpi
There were no differences between the resistant Charlton and the susceptible RQ001-
02M2 in relation to the hyphal growth on the cotyledon surface at 12 hpi (Table 1).
6.4.2.2 24 hpi
Hyphae continued to grow on the cotyledons of both resistant Charlton and susceptible
RQ001-02M2 by 24 hpi. However, hyphal growth on the resistant Charlton (Fig. 3A)
was significantly (P < 0.001) impeded as compared to the susceptible RQ001-02M2
(Fig. 3B; Table 1). The dichotomous branching of the terminal hyphae was also
apparent both on resistant Charlton and susceptible RQ001-02M2, resulting in the
formation of simple appressoria (Fig. 3A, 3B). There was, however, an increase in the
diameter of a few hyphal cells on resistant Charlton (Fig. 3C). Anatomical examinations
of the resistant Charlton and the susceptible RQ001-02M2 showed cytoplasmic
disorganization of the palisade mesophyll cells underneath of the intact upper epidermis
layer (Fig. 3D). Furthermore, toluidine blue-stained sections of the resistant Charlton
showed a number of darker blue-stained regions around the dead cells of the palisade
mesophyll layer (Fig. 3E), which were not evident on the susceptible RQ001-02M2.
6.4.2.3 48 hpi
On the cotyledons of susceptible RQ001-02M2, extensive hyphal growth appearing as a
mycelial mat was observed but within the confines of the inoculum droplet area, hyphae
had also extended beyond the periphery of the inoculum droplet area (Fig. 3F), and the
dichotomous branching of the terminal hyphae lead to the formation of complex
appresoria (Fig. 3G). In contrast, hyphal growth on resistant Charlton was significantly
impeded (P < 0.001) (Fig. 3H), a trend similarly observed at 24 hpi. Anatomical studies
of the susceptible RQ001-02M2 revealed extensively damaged upper epidermis and
palisade mesophyll cells with hyphal invasion up to spongy mesophyll layer (Fig. 3I). In
contrast, hyphal invasion was mainly confined to the upper epidermis in the resistant
Charlton with extensive disorganization of palisade mesophyll cells observed
underneath of intact epidermis layer.
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Figure 3 Light micrographs showing histology of resistant (Brassica napus, Charlton) and susceptible (B. napus, RQ001-02M2) genotypes in response to Sclerotinia sclerotiorum isolate MBRS-5 infection. (A)-(C), (F)-(H), (J)-(L) Samples were cleared in acetic acid: ethanol: water (2:2:1), stained with 1% cotton blue, and photographed using a Zeiss Axioplan 2 microscope photograph system. (D), (E), (I) 2 µm thick sections obtained and photographed using the same photograph system. (A) Impeded fungal growth on resistant Charlton at 24 hours post inoculation (hpi). Arrow indicates the presence of simple appressoria (B) Hyphal growth on susceptible RQ001-02M2 at 24 hpi. Arrow indicates the presence of simple appressoria. (C) Increase in hyphal diameter of fungal cells on resistant Charlton at 24 hpi. (D) Cytoplasmic disorganization and necrotic cells (arrow) of palisade mesophyll cells in the susceptible RQ001-02M2 at 24 hpi. (E) Darkly-stained areas (arrows) around the dead cells of palisade mesophyll layer at 24 hpi in the resistant Charlton. (F) Hyphal growth on cotyledons of the susceptible RQ001-02M2. Arrows indicate the extension of hyphal growth beyond the periphery of the inoculum droplet area. (G) Repeated dichotomous branching (arrow) of the terminal hyphae led to formation of appressoria at 48 hpi on susceptible RQ001-02M2. (H) Hyphal growth on resistant Charlton at 48 hpi. (I) Fungal invasion up to palisade mesophyll cells and extensively damaged upper epidermis in the susceptible RQ001-02M2 at 48 hpi. (J) Hyphal growth on susceptible RQ001-02M2 extended across almost whole of the upper surface of the cotyledon at 72 hpi (K) Hyphal growth arrested at the periphery of the inoculum droplet area on resistant Charlton at 72 hpi. (L) Disintegration of hyphal cell wall arrow on resistant Charlton at 72 hpi.
6.4.2.4 72 hpi
In the susceptible RQ001-02M2, hyphae emerging from the inoculum droplet area
extended across almost whole of the upper surface of the cotyledon (Fig. 3J). Approx.
30% of the inoculated samples of the resistant Charlton were also observed with
extensive mycelial growth on the cotyledon surface, which however seemed to be
within the periphery of the inoculum droplet area, with only a very few strands of
hyphae emerging out of it (Fig. 3K). An increase in diameter of a few hyphal cells was
also apparent in the resistant Charlton followed by the disintegration of hyphal cell wall
(Fig. 3L). Mycelial mat within the inoculum droplet area on resistant Charlton appeared
darker (Fig. 3K) compared with the susceptible RQ001-02M2.
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Table 1 Description of growth of Sclerotinia sclerotiorum isolate MBRS-5 on the surface of resistant (Brassica napus Charlton) and susceptible (B. napus RQ001-02M2) genotypes over time (12 to 72 hours post inoculation (hpi)).
Hours post inoculation (hpi)
Resistant Charlton Susceptible RQ001-02M2
12 No increase in hyphal length No increase in hyphal length 24 Significantly impeded hyphal
growth as compared to susceptible genotype, increase in hyphal cell diameter
Extensive hyphal growth, but confined within the inoculum droplet area
48 Significantly impeded hyphal growth, increase in hyphal cell diameter
Extensive hyphal growth, hyphae had extended beyond the periphery of the inoculum droplet area
72 Hyphal growth within the confines of inoculated area or arrested at the periphery of the inoculum droplet area, disintegration of hyphal cell wall
Whole cotyledon covered with mycelial growth
6.4.3 Differential proteins from the interaction between S. sclerotiorum and the two
B. napus genotypes
Comparative proteome analysis of the resistant Charlton and the susceptible RQ001-
02M2 in response to the S. sclerotiorum infection was conducted at 12, 24, 48 and 72
hpi and a representative image of 2-DE gel is shown in Fig. 4. An average of
approximately 400 protein spots in the resistant Charlton and 380 in the susceptible
RQ001-02M2 were detected that were resolved within the pH range of 4-7 across the
different time points. Approximately 340 spots were subjected to an inbuilt Student t-
test (P < 0.05) feature of the PD Quest software. These 340 protein spots were
identified on the basis of the stringent conditions (as indicated above) that were set out
to retain a spot in the gels of a replicate group (i.e. only those protein spots were
retained that were present in both replication of each treatment).
A total of 55 protein spots were identified as differentially regulated in the resistant
Charlton and/or the susceptible RQ001-02M2. Out of these 55 protein spots, only 39
spots were identified through MS/MS analysis (Fig. 5, 6). Details of all the protein spots
that were significantly affected in response to the pathogen challenge (as determined by
the Student t-test feature of the PD Quest software) are shown in Table 2, and in Fig 5
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and 6. Among these 39 spots, 23 spots at 72 hpi, 4 at 48 hpi, 5 at 24 hpi and 7 at 12 hpi
time points were identified. Out of the 23 spots detected at 72 hpi, 14 spots were from
the resistant Charlton and/or the susceptible RQ001-02M2, and nine spots were of
pathogen origin that were most likely extracted from the infected tissues of both/either
B. napus genotypes. Some protein spots were significantly affected in response to the
pathogen challenge across more than one time point (e.g., spots 3, 4, 9 and 15; Table 2).
It is also interesting that a trend was seen in the expression of some of the protein spots
that were expressed in response to the infection in both B. napus genotypes investigated
in this study. For example, a few protein spots were significantly either up-regulated or
down-regulated (e.g., spots 6, 10, 11, 12 and 13; Table 2) only in the resistant Charlton
and at a specific time point following inoculation. A similar trend was also observed in
the susceptible RQ001-02M2 (e.g., spots 5, 19 and 20). For a few protein spots, the
intensities were either significantly increased or decreased in both the resistant Charlton
and the susceptible RQ001-02M2 (e.g., spots 3 and 24). A few protein spots were also
identified with significantly increased intensity in the resistant Charlton but decreased in
intensity in the susceptible RQ001-02M2 or vice versa (e.g., spots 1 and 9). There were
few protein spots that were solely identified in the resistant Charlton or solely in the
susceptible RQ001-02M2 because of the absence any protein spot in the relative
position of 2-DE gels (e.g., spots 7 and 17). Further, a few proteins identified in this
study were detected at more than one position in the 2-DE gels (e.g., spots 8 and 9, 24
and 28). Spot 3 (Protein disulfide isomerase) was detected in both genotypes separately
with MS/MS analysis, with its corresponding position on 2-DE gel for both the
genotypes relatively close to each other. The change in abundance of individual protein
in each treatment across the different time points is shown in Table 2.
As indicated above, fold expressions and ANOVA of every protein spot (significantly
identified by PDQuest) with respect to the control genotype for each treatment (e.g.,
resistant vs. resistant control at 12 hpi) and for each time point was performed
separately by measuring the spot density data from filtered images. Additional Student
t-test performed for each spot confirmed the results obtained by PDQuest software.
However, spot numbers 8, 21 and 22 were not identified as significantly affected in
response to the pathogen challenge with the additional set of analysis. Exception to
these was also observed with the two protein spots [Spots 2 (down-regulated in the
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resistant genotype) and 13 (up-regulated in the resistant genotype); Table 2] as they
were not in accordance with the results obtained by PDQuest software analysis only at
72 hpi. Expression ratio calculated for each spot for every treatment across every time
point clearly set out the modulation of the proteins in response to the pathogen
challenge across different time points (Table 2).
Figure 4 A representative image of the Brassica napus resistant cv. Charlton leaf proteins separated by 2-DE and stained with Coomassie brilliant blue. The numbers shown correspond with the spot numbers mentioned in Table 2.
6.4.4 Functional classification of the protein identified
A total of 30 proteins identified from the resistant Charlton and/or the susceptible
RQ001-02M2 were classified into seven different functional categories. The protein
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functions were assigned based on the available literature and protein function database
Pfam (pfam.sanger.ac.uk/) or InterPro (www.ebi.ac.uk/interpro/). A large proportion of
the proteins (32%) identified that were modulated in response to the pathogen challenge
were those involved in metabolism (including carbon and phosphorous metabolism),
whereas 18% of the proteins could not be classified as their function was not known.
The next largest group comprised enzymes involved in protein synthesis (12%),
followed by the group having a role as antioxidants (9%) and those involved in protein
folding and post-translation modification (9%). The remainder of the group comprised
pathogenesis-related proteins (3%), and of those, proteins involved in hormone
biosynthesis and signaling (3%). In addition, nine proteins were identified as being of
fungal origin and were most likely extracted from the infected tissues of the B. napus
genotypes. The majority of these nine proteins play a role in one or more metabolic
pathways, including those that are associated with the pathogenicity of S. sclerotiorum
(Table 2).
6.5 DISCUSSION
This study has identified the proteins that were up-regulated only the in resistant
Charlton, such as those related to metabolic pathways (carbonic anhydrase, malate
dehydrogenase), antioxidant defence (glutathione S- transferase, monodehydroascorbate
reductase), protein synthesis (cysteine synthase), pathogenesis related protein (Major
latex-related protein), and hormone biosynthesis (S-adenosylmethionine synthase). The
potential role(s) of mainly these proteins in mediating resistance against S. sclerotiorum
is discussed below. Some of the fungal proteins extracted from the infected tissues of B.
napus are also discussed in context to the responses of the resistant Charlton and the
susceptible RQ001-02M2 to the various virulent factors released by S. sclerotiorum.
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Figure 5. Closer views of spots showing significant changes. The numbers shown correspond with the spot numbers mentioned in Table 2. Where R, Rc, S and Sc represent resistant (cv. Charlton), Resistant control (mock inoculated resistant cultivar), susceptible (cv. RQ001-02M2) and susceptible control (cv. mock inoculated susceptible cultivar) respectively.
6.5.1 Proteins involved in metabolic pathway
Carbonic anhydrase (CA) plays an important role in the photosynthetic CO2 fixation in
a diversity of photosynthetic organisms by catalyzing the conversion of CO2 to HCO3-,
which is further fixed by Rubisco or PEP carboxylase (Badger and Price, 1994).
Significant increases in the abundance of CA were evident only in the resistant Charlton
at 12 hpi (~3 fold), with significant decreases at 48 hpi in the susceptible RQ001-02M2,
indicating its potential role in mediating resistance against S. sclerotiorum. A previous
study by Restrepo et al. (2005) reported that a CA-silenced genotype of Nicotiana
benthamiana was more susceptible to infection caused by Phytophthora infestans.
Further, Slaymaker et al. (2002) reported that the chloroplastic CA also exhibits
salicyclic acid (SA) activity that is known to activate local and systemic defence
responses. In addition, CA also plays an important role in the HR defence response, as it
was shown that silencing of the CA gene in leaf tissue of Nicotiana benthamiana
suppressed Pto:avrPto-mediated HR (Slaymaker et al., 2002). This is also in agreement
with the histological investigations in this study, where hypersensitive reaction was only
observed in the resistant Charlton, further supporting the potential involvement of CA in
mediating resistance against S. sclerotiorum.
6.5.1.1 Protein involved in ROS generation
The imbalance between generation and metabolism of reactive oxygen species (ROS)
leads to oxidative stress (Neill et al., 2002). Production of ROS is a key event to HR,
which is characterized by the localized programmed cell death at the site of the
attempted invasion by the pathogen (Lamb and Dixon, 1997). ROS generation is
responsible for the reinforcement of the cell wall, restricting hyphal growth, and also
acts as a diffusible signal for induction of cellular protectant genes. A few proteins
known to be involved in generation of ROS were also identified in this study and were
generally up-regulated in the resistant Charlton, suggesting their role in mediating
defence responses at an early stage of the infection process. Such proteins include
malate dehydrogenase, the activity of which was increased ~2.5 fold in the resistant
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Charlton in response to the pathogen challenge at 12 hpi. Malate dehydrogenase is an
enzyme of the tricarboxylic acid cycle and catalyses the conversion of malate into
oxaloacetate, producing sufficient quantity of NAD(P)H, which can then be used to
form H2O2, possibly by NAD(P)H oxidase on plasmalemma (Gross et al., 1977; Ishida
et al., 1987). Several past studies have demonstrated the increase in abundance of
malate dehydrogenase in response to biotic and abiotic stresses (e.g., Cushman, 1993;
Subramanian et al., 2005). Another enzyme identified in this study as being elevated in
response to the pathogen challenge was mitochondrial dihydrolipoyl dehydrogenase,
showing increase in abundance in both resistant and susceptible genotypes.
Dihydrolipoyl dehydrogenase is a shared subunit of α-ketoglutarate and the pyruvate
dehydrogenases complex, which catalyses NADH oxidation by oxygen with the
concomitant formation of H2O2 (Alwine et al., 1973; Gazaryan et al., 2002). Tahara et
al. (2007) demonstrated the role of dihydrolipoyl dehydrogenase as a source of reactive
oxygen species in Saccharomyces cerevisiae, as the strains lacking the LPD1 (lipoyl-
dehydrogenase) gene prevented induction of oxidative stress. Increase in the abundance
of both of these enzymes at an early stage of infection process, and predominantly in the
resistant Charlton, supports their potential role in the generation of ROS and hence in
mediating resistance against S. sclerotiorum.
6.5.2 Proteins associated with antioxidant defence
ROS generated in response to various biotic and abiotic stresses need rapid processing
because of their ability to cause oxidative damage to proteins, DNA and lipids (Halliwel
and Gutteridge, 1989). In order to keep ROS below threshold levels, compatible for cell
metabolism, plants possess a battery of both enzymatic and a non-enzymatic ROS-
detoxifying mechanisms (Gara et al., 2003). This study identified involvement of three
enzymes viz. glutathione S-transferase (GST), monodehydroascorbate reductase
(MDHAR) and superoxide dismutase (SOD), which are components of the main plant
enzymatic system involved in protecting cells against oxidative damage. The resistant
Charlton exhibited significant increases in the levels of the enzyme glutathione S-
transferase by ~ 2 fold in response to the pathogen challenge at 48 and 72 hpi. It is
significant that no corresponding protein spot was detected (in 2-DE gels) for the
susceptible RQ001-02M2. As glutathione S-transferase is a part of the diverse protein
family and is widely distributed among living organisms, it is possible that the
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susceptible RQ001-02M2 could possess other isoform(s) of this enzyme. However, no
such isoform(s) were identified in the susceptible RQ001-02M2 in the present study that
exhibited significant changes in the expression levels in response to the pathogen
challenge. These results suggest that the significant increase in the levels of this enzyme
was only found in the resistant Charlton. Similarly, a significant increase in the levels of
another antioxidant enzyme, monodehydroascorbate reductase, in response to the
pathogen challenge, was only found in the resistant Charlton at 72 hpi. In contrast,
whilst the susceptible RQ001-02M2 exhibited significant ~ 2 fold decrease in the levels
of the enzyme superoxide dismutase at 48 and 72 hpi, no significant changes in the
abundance of this enzyme were found in the resistant Charlton. The three enzymes
GST, MDHAR and SOD are individually discussed in the following section.
The GST identified in the resistant Charlton comprises a family of multifunctional
enzymes that play a critical role in the detoxification of xenobiotics and protect tissues
by catalyzing the conjugation reaction of reduced glutathione (GSH) to a variety of
substrate with electrophillc reaction groups (Marrs, 1996). Past studies have
demonstrated the induction of GSTs in response to the various biotic and abiotic
stresses and their respective role as a cellular protectant (Marrs, 1996). The increased
levels of GSTs and glutathione peroxidases reported by Levine et al. (1994) in soybean
by the signals imparted by H2O2 are again indicative of prevailing oxidative stress in the
resistant Charlton. Furthermore, the defence pathway against oxidative damage between
GSTs and GSH is coordinally regulated (Hayes and McLellan, 1999), as evident from
the increase in GSTs activity with the exogenously supplied GSH in wheat and bean
(Wingate et al., 1988; Mauch and Dudler, 1993).
Elevated levels of GSTs and GSH are known to stimulate transcription of other defence
genes including those that encode (a) cell wall hydroxyproline-rich glycoproteins; (b)
the phenylpropanoid biosynthetic enzymes phenylalanine ammonia lyase (PAL) and
chalcone synthase (CHS) that are involved in lignin (PAL) and phytoalexin (PAL, CHS)
production (Loyall et al., 2000; Edwards et al., 1991); and (c) various pathogenesis-
related proteins such as chitinase or β-glucanse (Wingate et al., 1988; Marrs, 1996;
Loyall et al., 2000). The anatomical investigations of the resistant Charlton in this study
further confirmed up-regulation of these enzymes as a number of darkly-stained areas
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around the dead cells of palisade mesophyll layer were evident, indicating accumulation
of polyphenolic and/or phytoalexin compounds. Similar observations were also made by
Hua Li et al. (2007b) in association with resistance of B. napus to Leptosphaeria
maculans, where darkly-stained areas suggested accumulation of polyphenolic or
phytoalexin compounds known to be synthesized by the plants in response to the
infection or other stress conditions (Darvill & Albersheim, 1984; Beckman, 2000).
Similarly, increases in hyphal cell diameter (and hyphal swellings) was observed on the
cotyledons of the resistant Charlton at 48 and 72 hpi, but not in the susceptible RQ001-
02M2. Hyphal swellings and vacuolation of the mycelial content have also been
observed in the interaction of S. sclerotiorum with Pseudomonas cepacia, and
antifungal compounds released by P. cepacia were found to be responsible for such
abnormalities (Upadhyay and Jayaswal, 1992). It is possible that the enhanced level of
GSTs may have induced the production and release of various hydrolytic enzymes
and/or antifungal proteins, leading to the observed hyphal swellings on the cotyledons
of the resistant Charlton, and further suggesting a role of GSTs in mediating resistance
against Sclerotinia disease.
Another enzyme involved in the detoxification of ROS the activity of which increased
in response to the pathogen challenge in the resistant Charlton was MDHAR. This
enzyme is an important component of the ascorbate-glutathione cycle and is involved in
the detoxification of H2O2 (Noctor and Foyer, 1998). Additionally, MDHAR is also
found to be capable of reducing phenoxyl radicals to their respective parental phenols
that are potent antioxidants with an activity equivalent to ascorbate in relation to
detoxification of ROS (Sakihama., et al., 2000; Rice-Evans et al., 1997). Increased
activity of MDHAR, and only in the resistant Charlton, indicates that the antioxidant
defence can mediate resistance responses against Sclerotinia disease. Previous studies
have also indicated that the change in the expression/ activity of ROS-scavenging
enzymes could be a key step in the activation of defence mechanism(s) against various
phytopathogens (Noctor and Foyer, 1998; Mittler, 2002; Gara, 2003).
Another important enzyme that was identified in this study was SOD that is one of the
main components of the ROS scavenging machinery of the plant defence system
(Bowler et al., 1992). Interestingly, significantly lower levels of SOD were observed
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only in the susceptible RQ001-02M2 at 48 and 72 hpi, indicating a decrease in the
levels of antioxidant defence in response to the pathogen challenge in this genotype, and
hence enhanced oxidative damage and/or localized cell death. Interestingly, these results
were further corroborated with those of the morphological studies of the susceptible
RQ001-02M2 where increase in the expansion of cotyledon lesion diameter at 48 hpi
and 72 hpi correlated with the decrease in the levels of SOD enzyme. The anatomical
investigations further revealed cytoplasmic disorganization of the palisade mesophyll
cells in the susceptible genotype underneath an intact epidermis, indicating cell death in
response to the pathogen invasion. Thus, enhanced cell death due to ROS generation in
response to the pathogen invasion may have aided the infection caused by and
colonization of S. sclerotiorum by providing nutrients needed by the pathogen. Previous
studies in Arabidopsis have also established that it is the increased levels of
accumulated (or generated) superoxide in response to the pathogen challenge that
facilitates infection caused by nectrotrophic pathogens such as S. sclerotiorum (Govrin
and Levin, 2000; Dickman et al., 2001). These findings suggest that ROS scavenging
mechanism(s) of the susceptible RQ001-02M2 would have been countered during
pathogen invasion by one or more toxic metabolites produced by S. sclerotiorum, in a
way similar to the observation by Liang et al. (2009), who found suppressed SOD
activity in B. napus by exogenously supplied oxalic acid.
6.5.3 Proteins involved in protein synthesis
This proteomics analysis revealed a significant increase in the abundance of cysteine
synthase, a key enzyme that catalyses cysteine biosynthesis (Wirtz et al., 2001), only in
the resistant Charlton at 12, 48 and 72 hpi. Cysteine is incorporated into different kinds
of proteins and/or acts as a precursor for a range of sulfur-containing metabolites (Noji
et al., 2001). For example, cysteine is involved in the biosynthesis of tripeptide
glutathione (GSH), which is (as indicated above) an important universal antioxidant (or
detoxifier of ROS) (Noctor and Foyer, 1998). Over-expression of cysteine synthase has
been reported to increase both cysteine and GSH in Nicotiana tabacum (Noji et al.,
2001). Additionally, in this study an increase in the levels of glutathione S-transferases
(GSTs) was also found, the abundance of which is known to be enhanced concurrently
with GSH activity (Mauch and Dudler, 1993). Increased abundance of cysteine synthase
together with GSTs suggests an increase in GSH content only in the resistant Charlton,
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which could be mediating resistance against S. sclerotiorum. Furthermore, cysteine also
acts as a sulfur donor of amino-acid methionine, an immediate precursor of S-
adenosylmethionine (Ravanel et al., 1998), and an enzyme that was found in higher
levels only in the resistant Charlton.
The nucleophillic thiol group of cysteine is easily oxidized, allowing cysteine to be
incorporated into various defence-related proteins, inlcuding antifungal proteins (Terras
et al., 1995), phytoalexins (Zook and Hammerschmidt, 1997) and pathogenesis-related
proteins, such as chitinase or 1,3-β-glucanases (Shinshi et al., 1990; Margis-Pinheiro et
al., 1991; Rasmussen et al., 1992). Interestingly, anatomical investigations in the present
study revealed impeded fungal growth in the resistant Charlton which is known to occur
due to various antifungal proteins or hydrolytic enzymes. This supports the fact that
cysteine synthase (similar to GSTs and GSH) is involved in biosynthesis of defence-
related compounds. Based on sequence-alignment and inhibitor studies, it has also been
suggested that cysteine is an integral part of cysteine proteases that regulate
programmed cell death and the HR response in plants (D’Silva et al., 1998; Solomon et
al., 1999). This is in agreement with the histological results in which an HR response
was observed in the resistant Charlton. These findings suggest that cysteine synthase,
which eventually synthesises cysteine together with GSTs, is involved in mediating
defence responses against S. sclerotiorum in B. napus.
6.5.4 Pathogenesis related proteins
Pathogenesis-related (PR) proteins comprise one of the important components of the
inducible repertoire of the plant self-defence mechanisms that are produced in response
to the invading pathogen and/or abiotic stresses (Liu et al., 2006). PR proteins are
categorized into 17 different families on the basis of their primary structure and
biological activities (Van Loon et al., 2006; Krishnaswamy et al., 2008). The major
latex-related proteins detected in this study were assigned to the PR-10 family on the
basis of their sequence homology (Osmark et al., 1998; Liu et al., 2006). PR-10 proteins
are involved in defence responses because of their ribonucleolytic, antifungal and
antibacterial activities (Park et al., 2004; Liu and Ekramoddoullah, 2006). Here, major
latex-related proteins were up-regulated (by 2-fold) only in the resistant Charlton at 24
hpi, which indicates that PR-10 proteins could also be involved in mediating the defence
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responses against S. sclerotiorum. Recently, homologs to genes encoding PR-10 have
also been identified in soybean stem tissue in response to the S. sclerotiorum (Calla et
al., 2009), supporting their potential role in defence responses of B. napus against this
pathogen. However, contrary to the above, Liu et al. (2006) found that the recombinant
PR-10 protein (i.e. SsPR10) from Solanum surattense inhibited the hyphal growth of
Magnaporthe grisea (the rice blast fungus), but not of S. sclerotiorum.
6.5.5 Proteins involved in hormone biosynthesis and signaling
Increase in abundance of S-adenosylmethionine synthetase (AdoMet synthetase) was
found in the resistant Charlton (~ 4 fold) at 72 hpi, in contrast to the susceptible RQ001-
02M2 in which no significant increase in the levels of this enzyme was observed
following inoculation. AdoMet synthetase catalyses the biosynthesis of S-
adenosylmethionine (AdoMet), a precursor molecule of ethylene (ET) (Yang and
Hoffman, 1984; Peleman et al., 1989) and polyamines (Bouchereau et al., 1999).
AdoMet acts as a major methyl donor for numerous methylation reactions involving
polysaccharides, lipids, proteins and nucleic acids (Peleman et al., 1989). ET plays an
important role in the activation of various defence responses such as induction of PR
proteins and the synthesis of phytoalexin against various microbial pathogens (e.g.,
Broekaert et al., 2006). Increases in ET production in response to various pathogen
challenges have been well recognized (e.g., Broekaert et al., 2006). A previous report by
Liang et al. (2008) on the compatible interaction in the B. napus – S. sclerotiorum
pathosystem found decreased levels of methionine adenosyltransferase, which is
responsible for the catalysis of AdoMet, and suggested the possible role of ET in
mediating responses of Brassica spp. to the challenge by S. sclerotiorum. Yang et al.
(2009) also found that transgenic canola producing low levels of ET was relatively more
susceptible to S. sclerotiorum as compared with its wild-type counterpart. The increased
levels of AdoMet synthetase only in resistant Charlton in this study supports previous
reports that ET signaling plays an important role in mediating defence responses of B.
napus against S. sclerotiorum. Further, the jasmonic acid (JA) and the ET signaling
pathway are known to act synergistically as well as independently in mediating non-
specific disease resistance against various microbial pathogens depending upon the
host-pathogen system. It is interesting that no enzyme involved in the JA pathway was
identified in this study, in contrast to the previous observation of Liang et al. (2008).
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6.5.6 Molecular chaperones and post-translation modification of proteins
Molecular chaperones comprise groups of unrelated classes of proteins that mediate the
correct assembly of other proteins, but are themselves not a component of the final
functional protein structures (Hartl et al., 1996). Chaperones are known to assist protein
refolding under stress conditions and their levels are known to be affected in many
studies investigating both compatible and incompatible plant-pathogen interactions
(e.g., Ray et al., 2003; Wang et al., 2004; Buttner and Bonas, 2006). The present study
revealed three proteins with chaperone activity viz. 20 kDa chaperonin, protein disulfide
isomerase (PDI) and protein grpE (spots 2, 3 and 15) that were modulated in response to
the pathogen challenge. The abundance of a 20kDa chaperonin was significantly
increased only in the resistant Charlton at 12 hpi and 48 hpi in response to the pathogen
challenge. Interestingly, Liang et al. (2008) observed a decrease in the levels of the
enzyme chaperonin in compatible interactions in B. napus-S. sclerotiorum pathosystem,
which further suggests that chaperonin mediates defence responses against this
pathogen. Similarly, levels of grpE, which is a co-chaperone of heat-shock proteins
(Hsps) chaperones, decreased in response to the pathogen challenge in the susceptible
RQ001-02M2 at 48 hpi. However, the levels of PDI in this study were significantly
increased in both resistant and susceptible genotypes at 72 hpi, in contrast to the
observation of Liang et al. (2008) of decreased levels of PDI in a susceptible B. napus
genotype in response to S. sclerotiorum infection. Increase in PDI in both the resistant
Charlton and the susceptible RQ001-02M2 suggests that the activity of PDI was
probably modulated in response to the stress conditions, instead of mediating defence
responses in response to the S. sclerotiorum infection.
6.5.7 Proteins of pathogen origin
Proteins of pathogen origin- that were extracted from the infected tissue of the resistant
Charlton and the susceptible RQ001-02M2
This study revealed nine enzymes which were of fungal origin and were most likely
expressed in the infested tissue of the B. napus genotypes. Of these, the function of the
four protein spots remains to be determined, whilst the majority of the rest corresponded
to enzymes involved in metabolic pathways and were mainly expressed in the
susceptible RQ001-02M2.
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Figure 6 Closer views of protein spots of pathogen origin (Sclerotiorum sclerotiorum) origin extracted from the infected tissue of Brassica napus genotypes. The numbers shown correspond with the spot numbers mentioned in Table 2. Where R, and S represent resistant (cv. Charlton) and susceptible (cv. RQ001-02M2) genotypes.
It is noteworthy that an aspartate protease was identified in the susceptible RQ001-
02M2, with its spot intensity as 0.02 and 0.09 (each spot densitiy value comprises the
sum of the signal intensities of all the pixels that make up the object) at 48 and 72 hpi,
respectively. In contrast, the spot density value of only 0.01 was found in the resistant
Charlton and only at 72 hpi. Aspartate proteases are secreted by S. sclerotiorum and are
most likely required by the pathogen to degrade cell wall and plasma membrane
proteins of the host (Poussereau et al., 2001). This enzyme is also reported as one of the
virulence factors in S. sclerotiorum (Li et al., 2004a) and in other necrotrophic
pathogens such as Botrytis cinerea (Moyahedi and Heale, 1990), and is required by the
pathogen to establish itself within host tissues (Moyahedi and Heale, 1990).
Interestingly, increase in abundance of this enzyme in the susceptible RQ001-02M2
coincided with an expansion of lesion size, with its maximum expression at 72 hpi when
the cotyledons were fully covered by mycelial growth. These findings corroborate the
earlier finding of Poussereau et al. (2001), where increases in the signal of this enzyme
in sunflower cotyledons coincided with intensive mycelial colonization of leaf tissues.
Further decrease in intensity was observed when the cotyledons were completely
invaded or degraded (Poussereau et al. 2001). Apart from being proteolytic, aspartate
proteases may also inactivate or inhibit defence response proteins of the host (such as
antifungal enzymes) which are stimulated in response to the pathogen challenge
CHAPTER 6
121
(Poussereau et al., 2001; Yajima and Kav, 2006). It is possible that defence responses of
the susceptible RQ001-02M2 were countered by this enzyme assisting the successful
establishment of the disease in this genotype. However, delayed and reduced expression
of aspartate protease for the incompatible interaction involving the resistant genotype
Charlton suggests that it is either resistant to the damages caused by the aspartate
proteases and/or is associated with the production of certain antifungal compounds due
to the increased levels of cysteine synthase or GSTs, which are protease inhibitors (e.g.,
as reported for cystatin against protease enzymes secreted by B. cinerea; Pernas et al.,
1999).
6.5.8 Concluding remarks
This proteomics investigation revealed that the coordinated expression of proteins such
as those related to metabolic pathways (carbonic anhydrase, malate dehydrogenase),
antioxidant defence (glutathione S- transferase, superoxide dismutase), protein synthesis
(cysteine synthase), hormone biosynthesis (S-adenosylmethionine synthase) and
pathogenesis (Major latex-related protein) are responsible for mediating defence
responses in the resistant Charlton. Further, the anatomical studies also revealed the
cytoplasmic disorganization of palisade mesophyll cells indicating initiation of cell
death in response to S. sclerotiorum challenge in both the resistant Charlton and the
susceptible RQ001-02M2. In the susceptible genotype, the increased levels of ROS
were manifested by either increased levels of the enzyme involved in ROS generation
(dihydrilipoyl dehydrogenase) at an early stage of the infection process and/or
decreased levels of enzymes involved in ROS detoxification at later stages of the
infection process. However, increased levels of the enzymes responsible for ROS
generation, such as malate dehydrogenase and dihydrilipoyl dehydrogenase, in the
resistant Charlton were mainly manifested at an early stage of infection process. It could
be concluded that the cell death caused by the enhanced levels of ROS in the susceptible
RQ001-02M2 was in fact advantageous to this necrotrophic pathogen as it assists in
sustaining pathogen growth through provision of adequate nutrients. However, any
selective advantage of localized cell death to the pathogen in the resistant Charlton was
prevented by increased levels of other defence-related enzymes such as cysteine
synthase (which was up-regulated at an early stage of infection) and by cellular
protectant such as glutathione S-trasferase. These enzymes may have stimulated the
CHAPTER 6
122
transcription of various phytoalexins and pathogenesis-related proteins that prevented
the spread of the pathogen within the host tissue. These findings were supported by the
anatomical studies in which darkly-stained areas surrounding the dead cells of palisade
mesophyll layer (indicative of phytoalexins and phenolics compounds) were only
observed in the resistant Charlton. It is noteworthy that enzymes involved in cellular
detoxification were also only triggered in the resistant Charlton, where levels of ROS
may be modulated to the advantage of the host. Engineering B. napus plants to over-
express the enzymes that were only up-regulated in the resistant Charlton, and
especially cysteine syntase and glutathione S-transferase, could be an effective strategy
for enhancing resistance against this pathogen.
CHAPTER 6
123
Table 2 Details of the proteins identified in Brassica napus resistant Charlton and susceptible RQ001-02M2 at various times after inoculation with Sclerotinia sclerotiorum.
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
1
*
*
-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
72
50S ribosomal protein
L12-C [Arabidopsis
thaliana]
12 2 201/54 K.IGSEISSLTLEEAR.I
R.ILVDYLQDK.F Q8LBJ7 16.6/4.9 19.7/6.0
2
*
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
72
Protein grpE
[Prochlorococcus
marinus]
3 1 70/53 R.ISADFDNFR.K A2BNE2 35.7/4.6 27.5/4.6
3
*
** *
-3.5
-2.5
-1.5
-0.5
0.5
1.5
2.5
3.5
72
Protein disulfide
isomerase [Brassica
carinata]
37 14 681/53
K.IQGFPTIK.I
K.VVVYEGSR.T
K.GFPTIYFR.S
K.SIQDYNGPR.E
R.TKEDFISFIEK.N
R.ADYDFAHTLDAK.L
R.LFKPFDELFVDSK.D
K.AAAELSSQSPPIFLAK.I
K.LSGEEFDSFMAVAEK.L
K.LDATANDIPSDTFDVK.G
K.IDASEESNKGIANEYK.I
K.NVLIEFYAPWCGHCQK.L
K.LAPILDEVALAFQNDPSVIVAK.L
K.ESSIPLVTVFDKDPSNHPYVSK.F
Q38HW3 56/5.1 55.9/5.0
CHAPTER 6
124
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
4
*
* *
*
*
-10.0
-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
10.0
72
Uncharacterized
protein At3g54890.4
[Arabidopsis thaliana]
12 5 275/54
K.ESELIHCR.W
R.YKESELIHCR.W
K.YPGGAFDPLGYSK.D
K.KYPGGAFDPLGYSK.D
K.YPGGAFDPLGYSKDPK.K
A8MS75 21.1/5.7 23.4/6.9
5
*
*
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
72 Superoxide dismutase
[Raphanus sativus] 19 5 242/53
R.DFTSYEK.F
R.AYVDNLKK.Q
K.QTLEFHWGK.H
K.QTLEFHWGKHHR.A
K.TFMNNLVSWEAVSSR.L
O65327 22.7/6.2 23.8/6.0
6
-0.16
-0.12
-0.08
-0.04
0.00
0.04
0.08
0.12
0.16
72
UPF0312 protein
PFL_5802
[Pseudomonas
fluorescens]
31 6 409/54
K.DPWGGYR.A
K.EGQHAFVDFK.I
R.TASVFTNHAER.D
K.FSFDAAKPEDAK.I
K.ISHLGYSFITGTFK.D
K.ATFLGEGKDPWGGYR.A
Q4K4H3 21.7/6.5 21.1/7.0
7
*
*
-3.5
-2.5
-1.5
-0.5
0.5
1.5
2.5
3.5
72
Glutathione-S-
transferase [Brassica
rapa subsp.
pekinensis]
42 10 525/54
R.VLLTLHEK.N
R.AITQYIAHR.Y
K.VPAFEDGDLK.L
R.RVLLTLHEK.N
K.VFGHAASTATR.R
K.LATVLDVYEAR.L
K.NLDFELVHVELK.D
R.NPFGKVPAFEDGDLK.L
K.VPAFEDGDLKLFESR.A
Q5DNA8 24.5/6.1 24.3/5.7
.
CHAPTER 6
125
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
K.LFYGMTTDQAVVEEEEAK.L
8
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
72
Uncharacterized
protein At3g63140,
chloroplastic
Tax_Id=3702
[Arabidopsis thaliana]
22 8 391/54
K.DLLGWESK.T
R.NMHFYAEPR.A
K.TVEIVHYDPK.A
K.TNLPEDLKER.F
K.DCEEWFFDR.I
K.QFLFISSAGIYK.S
K.DLDTVRPVVDWAK.S
K.NVLIVNTNSGGHAVIGFYFAK.E
Q9LYA9 40.6/6.2 44.1/8.5
9
**
*
-2.5
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
72
Uncharacterized
protein At3g63140
[Arabidopsis thaliana]
15 7 336/54
R.FEEYVK.I
K.ERFEEYVK.I
R.NMHFYAEPR.A
K.TVEIVHYDPK.A
K.DCEEWFFDR.I
K.QFLFISSAGIYK.S
K.DLDTVRPVVDWAK.S
Q9LYA9 40.9/6.4 44.1/8.5
10
**
*
-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
72 Cysteine synthase
[Populus trichocarpa] 6 2 143/53
K.VTEGCGAYIAAK.Q
K.LIVTIHASFGER.Y A9PGL6 38.8/6.9 40.4/8.6
CHAPTER 6
126
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
11
*
-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
72
S-adenosylmethionine
synthetase [Brassica
rapa subsp.
pekinensis]
23 7 468/43
R.WLRPDGK.T
K.TAAYGHFGR.D
K.TIFHLNPSGR.F
R.FVIGGPHGDAGLTGR.K
K.TNMVMVFGEITTK.A
R.SIGFISDDVGLDADKCK.V
R.VHTVLISTQHDETVTNDEIAR.D
Q5DNB1 47.4/6 43.6/5.7
12
*
-12.0
-8.0
-4.0
0.0
4.0
8.0
12.0
72
Monodehydroascorbat
e reductase [Brassica
rapa subsp.
pekinensis]
34 10 591/43
K.GYLFPEGAAR.L
R.RVEHVDHSR.K
R.FGAYWVQDGK.V
K.EAVAPYERPALSK.G
K.YIILGGGVSAGYAAK.E
K.AVVVGGGYIGLELSAALR.I
K.EFASQGVKPGELAVISK.E
K.TSVPDVYAVGDVATFPLK.M
K.GTVASGFTAHPNGEVNEVQLK.D
K.AAEGGGAVEEYDYLPFFYSR.S
Q93X74 45.9/6 46.6/5.8
13
*
-3.5
-2.5
-1.5
-0.5
0.5
1.5
2.5
3.5
72 Malate dehydrogenase
[Arabidopsis thaliana] 12 3 251/43
R.DDLFNINAGIVK.N
K.KLFGVTTLDVVR.A
K.ALEGADLVIIPAGVPR.K
A8MQK3 38.3/6.2 33.3/9.5
14 *
*
-15.0
-12.0
-9.0
-6.0
-3.0
0.0
3.0
6.0
9.0
12.0
15.0
72
Major latex-related
protein [Capsella
rubella]
23 3 121/42
R.GLEGHVMEQLK.V
K.VYDVIYQFIPK.S
R.SWNYTWDGKEEMFK.E
B2WS86 16.7/6.1 17.7/5.7
CHAPTER 6
127
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
15
*
*
*
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
48
20 kDa chaperonin,
chloroplastic
[Arabidopsis thaliana]
23 5 350/43
K.DLKPLNDR.V
K.DGSNYIALR.A
K.YTSIKPLGDR.V
K.YAGTEVEFNDVK.H
K.EKPSIGTVIAVGPGSLDEEGK.I
O65282 24.1/5.6 26.8/8.9
16
*-5.0
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
5.0
48
Putative elongation
factor P (EF-P)
[Arabidopsis thaliana]
18 4 209/53
K.VVDVDPGLR.G
R.NYVNGSTVER.T
R.VLEFLHVKPGK.G
K.AGTNIEVDGAPWR.V
Q8VZW6 23.2/5.4 26.4/8.6
17
*
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
48
Putative
uncharacterized protein
At3g52150
[Arabidopsis thaliana]
13 5 121/43
R.FGFATMK.S
R.FGFATMK.S R.VYIGNIPR.T
R.RVYIGNIPR.T
K.LVEEHGAVEKVQVMYDK.Y
Q8VYM4 28.7/5.6 27.7/8.9
18
*
-10.0
-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
10.0
48
ATP synthase
(Fragment) [Brassica
campestris]
40 4 258/43
K.ITDTQLAEVR.S
K.LEPPQLAQIAK.Q
K.TVLDPSLVAGFTIR.Y
K.KQLEDIAAQLELGEIQLAA.-
Q39409 21.3/5.6 14.9/9.2
CHAPTER 6
128
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
19
*
*
*-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
24
Putative
uncharacterized protein
[Mus musculus]
8 2 64/53 R.VAPEEHPTLLTEAPLNPK.A
K.QEYDEAGPSIVHR.K Q3TG92 30.5/4.7 42.4/5.2
20
*
*
*
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
24
RuBisCO large
subunit-binding protein
subunit alpha,
chloroplastic [Brassica
napus]
19 7 352/53
K.LLVEFENAR.V
R.NVVLDEFGSPK.V
K.ITAIKDIIPILEK.T
R.GYISPQFVTNPEK.L
R.AIELPDAMENAGAALIR.E
K.DSTTLIADAASKDELQAR.I
K.ALVAPAALIAQNAGIEGEVVVEK.I
P21239 55.5/4.9 57.7/4.8
21
-5.0
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
5.0
24
Cytochrome b6-f
complex iron-sulfur
subunit, chloroplastic
[Arabidopsis thaliana]
17 3 217/53
K.GDPTYLVVENDK.T
K.VLFVPWVETDFR.T
K.FLCPCHGSQYNAQGR.V
Q9ZR03 18.0/6.2 24.6/8.8
22
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
24
Predicted protein
Tax_Id=3694 [Populus
trichocarpa]
5 1 76/43 R.FCDYTNDKSNLK.G B9I1Y5 16.2/5.2 26.4/8.1
CHAPTER 6
129
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
23
*
-10.0
-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
10.0
24
Eukaryotic translation
initiation factor-5A
[Brassica napus]
25 3 154 /54
K.TYPQQAGNIR.K
K.CHFVAIDIFTAK.K
K.KLEDIVPSSHNCDVPHVNR.I
Q6RJS1 18.0/5.9 17.3/5.7
24
*
*
-8.0
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
8.0
12
Ribulose bisphosphate
carboxylase large
chain [Brassica
juncea]
14 7 296/53
K.NHGMHFR.V
K.DTDILAAFR.V
R.DNGLLLHIHR.A
R.ESTLGFVDLLR.D
R.FLFCAEAIYK.S
K.LNYYTPEYETK.D
K.TFQGPPHGIQVER.D
Q6Y9Y8 46.7/6.7 53.4/5.9
25
*
*
*
*
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
12
Putative p-
nitrophenylphosphatas
e [Arabidopsis thaliana]
3 10 611/53
R.YFNYYK.I
K.IQPDFYTSK.I
K.IQYGTLCIR.E
K.VYVIGEEGILK.E
K.RLVFVTNNSTK.S
R.ENPGCLFIATNR.D
K.LIEGVPETLDMLR.A
K.LIEGVPETLDMLR.A
K.GDKLIEGVPETLDMLR.A
K.TLLVLSGVTSISMLESPENK.I
Q8GY27 33.7/5.0 34.3/5.1
CHAPTER 6
130
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
26
*
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
12
Chloroplast fructose-
1,6-bisphosphatase I
[Fragaria ananassa]
1 3 95/53
R.YIGSLVGDFHR.T
R.VLDIQPTEIHQR.V
K.YIDDLKDPGPSGKPYSAR.Y
A8VYM0 48.7/5.1 44.7/5.2
27
*
*
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
12
ATP synthase subunit
beta [Physalis sp.
P078]
9 3 140/53
R.IVGEEHYETAQKVK.Q
R.IVGEEHYETAQRVK.Q
K.GIYPAVDPLDSTSTMLQPR.I
A8Y6H4 16.9/5.3 36/5.2
28
*
*
*
-6.0
-4.0
-2.0
0.0
2.0
4.0
6.0
12
Ribulose bisphosphate
carboxylase large
chain [Leucas
capensis]
9 4 172/54
K.DTDILAAFR.V
R.FLFCAEAIYK.S
K.LNYYTPEYETK.D
K.TFQGPPHGIQVER.D
A2VAR6 50.9/6.7 49.7/6.6
29
*
*
-12.0
-8.0
-4.0
0.0
4.0
8.0
12.0
12
Dihydrolipoyl
dehydrogenase 1,
mitochondrial
[Arabidopsis thaliana]
7 3 140/52
R.TPFTSGLDLEK.I
K.EAAMATYDKPIHI.-
K.ALLHSSHMYHEAK.H
Q9M5K3 56.4/6.8 54.2/7.0
CHAPTER 6
131
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
30
*
*
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
12
Carbonic anhydrase,
chloroplast
[Arabidopsis thaliana]
33 8 50/43
K.YMVFACSDSR.V R.NIANMVPPFDK.V
K.YETNPALYGELAK.G
R.NIANMVPPFDKVK.Y
K.VENIVVIGHSACGGIK.G
K.EKYETNPALYGELAK.G
K.VISELGDSAFEDQCGR.C
R.EAVNVSLANLLTYPFVR.E
Q56X90 27.6/6.5 28.5/5.3
31
0.00
0.01
0.01
0.02
0.02
0.03
0.03
0.04
72
Putative
uncharacterized protein
[Sclerotinia
sclerotiorum]
17 2 114/54 R.SASDAFGLISIR.S ,
R.SGSNLQNQAINAFQGGLWIGK.E A7ES05 17.2/4.6 19.4/4.5
32
0.00
0.01
0.01
0.02
0.02
0.03
0.03
0.04
0.04
0.05
0.05
72
Elongation factor 1-
beta [Sclerotinia
sclerotiorum]
11 2 75/55 R.SYIVGYSPSQADVAVFK.A
K.LVAVGFGIK.K A7EN12 34.7/4.7 25.5/4.4
33
0.00
0.02
0.04
0.06
0.08
0.10
72
Aspartate protease
[Sclerotinia
sclerotiorum]
22 4 289 /53
R.SGHDIYTSSK.S
K.GASYSNSYGGYVFPCSATLPTLSFK.I
K.YTGSLTYTSVSSGNGFWEFPSTSYK.V
R.SLSGYSWDISYADGSGASGVVGTDTV
TIGK.T
A7ECZ2 34.8/4.3 41.7/5.1
CHAPTER 6
132
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
34
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
72
Putative
uncharacterized protein
[Sclerotinia
sclerotiorum]
13 5 149/53
K.ALAPEYEEAATTLKEK.K
K.VFRGPDNVSPYSGAR.K
K.AEGVSFPSIVLYK.S
R.TSLAEALKPIAEKHR.G
K.FVQQYVDGKVEPSIK.S
A7ECC8 58.5/4.9 57.9/4.8
35
0.00
0.05
0.10
0.15
0.20
0.25
0.30
72
Putative
uncharacterized protein
[Sclerotinia
sclerotiorum]
52 4 148/54
R.EGKPVSHAFAK.E
K.ELLAGFAAGEVDKLVETK.G
R.SQEQAEHLYDQHYGQDDQYDPNQR.
D R.DAPEHFNRYDNNW.-
A7E835 17.1/5.1 14.6/5.0
36
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
0.40
72
ATP synthase subunit
beta [Sclerotinia
sclerotiorum]
14 6 294/53
K.IGLFGGAGVGK.T
K.VVDLLAPYAR.G
R.VQQMLQEYK.S
R.VVGQDHYDTATR.V
K.AHGGYSVFTGVGER.T
R.GISELGIYPAVDPLDSK.S
A7ER40 49.6/5.2 55.6/5.2
37
0.00
0.05
0.10
0.15
0.20
0.25
72
Malate dehydrogenase
[Sclerotinia
sclerotiorum]
17 2 114/54 R.SASDAFGLISIR.S
R.SGSNLQNQAINAFQGGLWIGK.E A7ES05 35.2/6.9 19.4/4.5
CHAPTER 6
133
S. NoA
Time kineticsB
R12S12 R24S24 R48S48 R72S72
hpiC
Identification % Coverage NPD ScoreE Peptide Sequence Accession no.F
Thr Mr/pI (kDa)
Exp Mr/pI (kDa)
38
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
72
Glyceraldehyde 3-
phosphate
dehydrogenase
[Botryotinia fuckeliana]
9 3 125/53
K.YDSTHGQFK.G
R.VLDLLHYISK.V
K.LVSWYDNEWGYSR.R
A6SGS7 42.1/6.6 36.7/5.9
39
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20
72
Putative
uncharacterized protein
[Sclerotinia
sclerotiorum]
11 3 123/54
K.TIHWINEAGK.A
K.LIYGDGSGDTFK.S
K.ELITEADQDGGIGTYNTQDR.V
A7F824 43.1/6.1 41.3/5.6
A Spot number as given on the 2-D gel image (Figure 4) that were significantly affected in response to the pathogen challenge as determined by
PDQuest software.
B Time kinetics represents the “expression ratio” for each spot of both resistant Charlton and susceptible RQ001-02M2 at four time points (12, 24, 48
and 72 hours post inoculation (hpi)). Where, R and S represent the resistant and susceptible genotypes respectively. The data was taken in terms of
“fold changes” with respect to the control value (in relation to the average values of spot densities) for each genotype at every time point separately.
However, spots 6 and 31-39 represent the actual values of the spot density data in the absence of detection of any protein in the control genotype (for
these spots). These spot densities were measured from the filtered 2-DE images and each spot density value comprises the sum of the signal intensities
(expressed as spot/optical density units) of all the pixels that make up the object.
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134
“ *” indicates statistically significant expression ratio (ER) in response to the pathogen challenge for each genotype at a given time point separately that
is confirmed by Student’s t-test in addition to PDQuest analysis. Bar on each value represents standard error associated with the mean value of
expression ratio for each spot and for each genotype at different time points separately.
C hpi represent hour post inoculation
D NP represents number of peptides
E MASCOT score for the most significant hit/MASCOT cutoff (threshold score)
F Accession number for proteins generated by the MASCOT search
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135
CHAPTER 7 High level of Resistance to Sclerotinia sclerotiorum in Introgression Lines Derived from Hybridization between Wild Crucifers and the Crop Brassica species B. napus and B. juncea
7.1 ABSTRACT
Sclerotinia rot caused by the fungus Sclerotinia sclerotiorum is one of the most serious
and damaging diseases of oilseed rape and there is keen worldwide interest to identify
Brassica genotypes with resistance to this pathogen. Complete resistance against this
pathogen has not been reported in the field, with only partial resistance being observed
in some Brassica genotypes. Introgression lines were developed following hybridization
of three wild crucifers (viz. Erucastrum cardaminoides, Diplotaxis tenuisiliqua and E.
abyssinicum) with B. napus or B. juncea. Their resistance responses were characterized
by using a stem inoculation test. Seed of 54 lines of B. napus and B. juncea obtained
from Australia, India and China through an Australian Centre for International
Agricultural Research (ACIAR) collaboration programme were used as susceptible
check comparisons. Introgression lines derived from D. tenuisiliqua, E. cardaminoides
and E. abyssinicum had much higher levels (P < 0.001) of resistance compared with the
ACIAR germplasm. Median values of stem lesion length of introgression lines derived
from the wild species were 1.2, 1.7 and 2.0 cm, respectively, as compared with the
ACIAR germplasm where the median value for stem lesion length was 8.7 cm. This is
the first report of high levels of resistance against S. sclerotiorum in introgression lines
derived from E. cardaminoides, D. tenuisiliqua and E. abyssinicum. The novel sources
of resistance identified in this study are a highly valuable resource that can be used in
oilseed Brassica breeding programmes to enhance resistance in future B. napus and B.
juncea cultivars against Sclerotinia stem rot.
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7.2 INTRODUCTION
Sclerotinia disease, caused by the fungal pathogen Sclerotinia sclerotiorum, is a serious
threat to oilseed rape production with substantial yield losses recorded world-wide
including India, Europe, China, North America and Australia (Li et al., 1999;
McCartney et al., 1999; Sprague and Stewart-Wade, 2002; Hind et al., 2003; Koch et
al., 2007; Malvarez et al., 2007; Singh et al., 2008). Various methods used for managing
Sclerotinia disease include cultural control, chemical control and varietal resistance
(Bardin and Huang, 2001). The persistent nature of sclerotia and the wide host range of
this pathogen from taxonomically diverse hosts (over 408 plant species) generally
render cultural practices such as crop rotation to be ineffective (Williams and Stelfox,
1980; Boland and Hall, 1994). Further, disease management through chemical control is
also largely ineffective due to difficulty in timing the fungicide application with the
release of ascospores (Bolton et al., 2006). Host resistance offers the only economic and
sustainable method for effectively managing this disease (Zhao et al., 2004; Li et al.,
2006).
While partial resistance against this pathogen has been observed in certain genotypes of
sunflower (Helianthus annuus) (Godoy et al., 2005), beans (Phaseolus coccineus)
(Gilmore et al., 2002), peas (Pisum sativum) (Porter et al., 2009), peanut (Arachis
hypogea) (Cruickshank et al., 2002), or soybean (Glycine max) (Hartman et al., 2000),
complete resistance has not been reported in the field. Partial resistance was also
identified in some of the Brassica napus and, to a lesser extent B. juncea, genotypes
from China (Li et al., 1999, 2006, 2008; Zhao et al., 2004), Australia (Li et al., 2006,
2008) and India (Singh et al., 2008). Although, a significant number of at least partially
resistant genotypes have been identified, breeding to increase the levels of resistance
against Sclerotinia disease, in B. napus and/or B. juncea has been ineffective. This is
mainly because resistance to S. sclerotiorum in existing cultivars of Brassica and in
other cultivated germplasm appears to be of a complex nature i.e., it can either be
monogenic and/or polygenic depending on the different plant species and materials
under investigation (Abawi et al., 1978; Baswana et al., 1991; Zhao and Meng, 2003;
Zhao et al., 2006). Genotypes with higher levels of resistance are urgently required for
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inclusion in oilseed Brassica breeding programmes to enhance the level of field
resistance in cultivated species such as B. napus and B. juncea.
Lack of effective resistance to Sclerotinia disease in cultivated species has stimulated
the interest of researchers towards exploitation of wild crucifer species to diversify the
existing gene pool. Higher levels of resistance against Sclerotinia have already been
reported in the secondary gene pool of bean (Abawi et al., 1978; Gilmore et al., 2002;
Schwartz et al., 2006), wild Helianthus species (Seiler, 1992; Gulya et al., 2009) and in
a Pisum core collection (Porter et al., 2009). Several successful attempts have been
reported to introgress the resistance from the secondary gene pool of bean (Phaseolus
vulgaris) into the cultivated bean species through interspecific hybridization followed
by backcrossing (e.g., Schwartz et al., 2006; Singh et al., 2009). Introgression of
genomic segments responsible for resistance against Sclerotinia from wild to cultivated
species of sunflower has been attempted in the past (e.g., Ronicke et al., 2004). Despite
the Brassicaceae family comprises of a wide array of different species, to date, it
appears that only two wild crucifers, Capsella bursa-pastoris (Chen et al., 2007) and
Erucastrum gallicum (Lefol et al., 1997a; Seguin-Swartz and Lefol, 1999), have been
previously reported to show high levels of resistance against Sclerotinia disease.
Although introgressive hybrids were successfully obtained between different Brassica
(B. rapa and B. napus) species and Capsella bursa-pastoris (Chen et al., 2007), it
remains to be confirmed if the introgression of resistance against S. sclerotiorum from
E. gallicum into cultivated species has in fact been accomplished (Lefol et al., 1997a, b
Seguin-Swartz et al., 1999). There remains substantial potential both to identify wild
crucifers with high levels of resistance to Sclerotinia disease and for its successful
introgression to the cultivated species.
Three wild crucifers, viz. Erucastrum cardaminoides, Diplotaxis tenuisiliqua and E.
abyssinicum, have been identified with very high levels of resistance against S.
sclerotiorum (S.S. Banga, unpublished data). The aim of this study was to introgress the
genomic segments responsible for resistance against S. sclerotiorum from these three
wild species into the cultivated germplasm. This study reports the results of screening
highly fertile (S4/S5) introgression lines of B. juncea and B. napus derived from three
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different wild Brassica species, viz. E. cardaminoides, D. tenuisiliqua and E.
abyssinicum, against S. sclerotiorum.
7.3 MATERIALS AND METHODS
7.3.1 Plant materials
7.3.1.1 Experiment 1
Introgression lines, carrying alien genomic segments, were developed for B. juncea and
B. napus by introgression from three wild crucifers viz. E. cardaminoides (2n=18), D.
tenuisiliqua (2n=18) and E. abyssinicum (2n=32). The general outlines of breeding
schemes to introgress genomic segments from wild crucifers into these cultivated
species are detailed in Figures 1- 3. These lines were developed by S. S. Banga
([email protected]) and co-workers, Punjab Agricultural University from
identified wild crucifers by synthesizing intergeneric hybrids, E. cardaminoides / B.
rapa (Chandra et al., 2004), E. cardaminoides / B. nigra (Chandra et al., 2004), B.
napus / E. cardaminoides, B. juncea / D. tenuisiliqua, and B. juncea / E. abyssinicum.
Chromosome doubling was achieved using colchicine in cross combinations involving
monogenomic Brassica species to restore seed fertility. In crosses of wild crucifers with
digenomics, chromosome doubling was not required as these were partially fertile. The
synthetic amphiploids or the trigenomic hybrids were subsequently used as pollen/seed
parents to hybridize with cultivated digenomics, B. juncea or B. napus (Figs.1-3). This
was followed by three to four generations of selfing using the single pod descent
method. Special attempts were made to select plants showing higher degree of pollen
stainability and self-seed set to initiate next round of selfing and selection.
Selfed progenies of either up to four (BC1S4) or five (S5) generations of all the ten cross
combinations (Table 1) were involved in experiment 1 for identifying their reactions
against S. sclerotiorum. The numbers of genotypes evaluated in each cross combination
are shown in Table 1. These genotype were selected randomly from the populations
(BC1S4/S5) derived from the cross combinations involving wild species and cultivated
germplasm.
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Figure 1 The general breeding scheme used to introgress segments of the genome from wild species Erucastrum cardaminoides into cultivated lines of Brassica juncea
Figure 2 The schematic representation for developing introgression lines by crossing Brassica napus with Erucastrum cardaminoides
B. napus x E. cardaminoides
Amphihaploid x B. napus
BC1
S-4 generation
Selfing
E. cardaminoides x B. rapa / B. nigra
F1
Synthetic amphidiploid
F1
S-4 generation SSD
Introgression lines
Embryo rescue
Chromosome doubling
Selfing
B. juncea
x
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140
Figure 3 The schematic representation for the development of introgression lines from wild crucifers Erucastrum abyssinicum and Diplotaxis tenuisiliqua
7.3.1.2 Susceptible check comparison genotypes
Fifty four germplasm lines of B. napus and B. juncea obtained from Australia, India and
China through an Australian Centre for International Agricultural Research (ACIAR)
collaboration programme were used as susceptible comparison genotypes to the
introgression lines derived from three wild crucifers. These materials were included as
susceptible check comparisons from genotypes of B. napus and B. juncea and these
included some of the most resistant Brassica lines identified in the current ACIAR
disease screening programme (Li et al., 2008).
7.3.1.3 Experiment 2
Introgression lines that showed stem lesion lengths <1cm in first experiment were re-
inoculated at late flowering stage above the site of the first inoculation in order to
confirm the resistance observed in experiment 1. The second experiment was performed
approximately 4 weeks after the initial inoculation (data not presented).
7.3.1.4 Experiment 3
Introgression lines with stem lesion length, <1cm in experiment 1 were selected for
further evaluation in 2008-2009. Three genotypes of B. napus and B. juncea, viz. JLM
298, PBR 91 and GSC 5, were used as susceptible check comparisons during screening
undertaken to identify resistance responses (data not presented).
B. juncea x E. abyssinicum / D. tenuisiliqua
F1
S-4 generation SSD
x B. juncea
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141
7.3.2 Field experimental site
All the introgression lines were tested under field conditions at the field site of the
Punjab Agricultural University, India during December to February in 2007-2008 and
again in 2008-2009 (Figs.1-3). For the purpose of screening, twenty seeds per
introgression line were hand sown in single rows of 2 m length and with 0.6 m between
rows. Plants were not thinned after germination.
7.3.3 S. sclerotiorum isolate
A single isolate of S. sclerotiorum was collected from infested B. juncea at the field site
of the Punjab Agricultural University, where significant disease on Brassica lines is
frequently observed during flowering. Surface sterilization of a field collected
sclerotium was done in 50% (v/v) sodium hypochlorite and 70% ethanol for 4 min with
agitation, followed by two washes in sterile distilled water for 1 min as described by
Clarkson et al. (2003) and Li et al. (2006). The sclerotium was then cut in half, placed
on potato dextrose agar (PDA) and incubated at 20°C with 12/12 h light/dark (Clarkson
et al., 2003). Sclerotia subsequently produced were then harvested from the incubated
plates after 4 weeks, air dried overnight at 15oC and finally stored at 4°C, for future use.
7.3.4 S. sclerotiorum inoculations
Resistance responses of all introgression lines were evaluated by using the stem
inoculation test as described by Buchwaldt et al. (2005) and Li et al. (2006). Briefly, ten
plants in each test line were randomly picked and were inoculated at the flowering stage
when 50% of the plants in the rows had at least one opened flower. For each plant, a
single agar plug disc (5 mm diameter) was cut from the actively growing margin of a 3-
day-old colony on a glucose-rich medium (peptone 10 g, glucose 20 g, agar 18 g,
KH2PO4 0.5 g, H2O 1 L, adjusted to pH 4.0 with HCl before autoclaving) and an
inoculum plug was wrapped onto the first internode above the middle node of each stem
using Parafilm®.
7.3.5 Disease assessment
All disease assessments were made at three weeks after inoculation (wai) as impact of
different times of flowering of Brassica genotypes for determining physiological
resistance is insignificant at this particular time of disease assessment (Li et al., 2007).
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Stem lesion length was measured with a ruler and vernier callipers were used to
measure stem diameters of all inoculated plants as done in earlier studies by Li et al.
(2006; 2007).
7.3.6 Resistance categories
Introgression lines were categorized into five different classes based on their resistant
responses, namely highly resistant (HR), resistant (R), moderately resistant (MR),
susceptible (S) and highly susceptible (HS) with stem lesion lengths ranging from 0 to
<2.5; 2.5 to <5.0; 5.0 to <7.5; 7.5 to 10.0 and > 10.0 cm, respectively.
7.3.7 Data analysis
The R statistical (version 2.8.0) programme was used to identify significant differences
in resistance responses between introgression lines. Significant differences in relation to
stem lesion length between different wild species and ACIAR germplasm were
evaluated using the non-parametric Kruskal–Wallis test. The Mann–Whitney U-test
(Wilcoxon–Mann–Whitney test) was used to compare significant differences with
respect to stem lesion length between all the wild species taken together and the ACIAR
germplasm. The Wilcoxon test was also used for pair-wise comparison of different wild
species (E. cardaminoides, E. abyssinicum and D. tenuisiliqua) and to compare different
cross combinations within a wild species, e.g., comparison of the cross of E.
cardaminoides and B. rapa with E. cardaminoides and B. nigra. Proportions of different
resistant categories as described above were calculated using R statistical within every
cross combination and the significance of differences in these proportions were tested
using the Chi-square test. Non-parametric tests were used because the data was clearly
not normally distributed and standard transformations failed to normalise it.
7.4 RESULTS
7.4.1 Resistance responses of introgression lines derived from three wild species (E.
cardaminoides, D. tenuisiliqua and E. abyssinicum) and of ACIAR germplasm
7.4.1.1 Experiment 1
The Kruskal–Wallis test indicated significant differences (P < 0.001) between
introgression lines derived from three wild species and the ACIAR germplasm in
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143
relation to the stem lesion length 3 wai. Introgression lines derived from D. tenuisiliqua
were highly resistant with a median value for stem lesion length of 1.2 cm as compared
with wild species E. cardaminoides and E. abyssinicum (median values =1.7 and 2.0
cm, respectively; Figs. 4-6). The range of stem lesion lengths for introgression lines
derived from three wild species viz. E. cardaminoides, D. tenuisiliqua and E.
abyssinicum varied from 0 to 20, 0.2 to 12.0 and 0 to 25 cm, respectively (Figs. 5-6).
The median value for stem lesion length of ACIAR germplasm was very high, (i.e., 8.7
cm as compared to introgression lines) with stem lesion lengths ranging up to 47.8 cm,
which also confirms the high level of pathogenicity of the isolate of S. sclerotiorum
utilized for this study.
Significant differences were also observed (P < 0.001) between different crosses
involving the wild species with the ACIAR germplasm. The most resistant cross was (B.
juncea x D. tenuisiliqua) x B. juncea with a median value for stem lesion length of 1.0
cm (Fig. 7). The maximum median value for stem lesion length in the (B. juncea x E.
abyssinicum) x B. juncea cross combination was 2.9 cm, which is much smaller than in
the ACIAR germplasm which had a median value of 8.7 cm (Table 1).
Figure 4 An example of reactions of introgression lines against Sclerotinia sclerotiorum developed from wild crucifers Erucastrum cardaminoides, Diplotaxis tenuisiliqua and Erucastrum abyssinicum in relation to stem lesion length assessed 3 weeks after inoculation
Example of a highly resistant [(E. cardaminoides x B. nigra) x B. juncea)] genotype
Example of a susceptible [(B. juncea x E. abyssinicum) x B. juncea] genotype
Example of a highly susceptible (susceptible check comparison, B. juncea) genotype
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144
A B C ACIAR
010
2030
40
Introgression lines and ACIAR germplasm
Ste
m le
sion
leng
th (
cm)
3 w
ai
Figure 5 Box plot representation of resistance responses against Sclerotinia sclerotiorum of ACIAR Brassica napus and B. juncea germplasm and introgression lines derived from wild crucifers Erucastrum cardaminoides, Diplotaxis tenuisiliqua and Erucastrum abyssinicum in relation to stem lesion length assessed 3 weeks after inoculation. The central bar represents the median value and each box corresponds to the range between 25th and 75th percentiles. Whiskers from the boxes include the lowest and highest values. A, B and C represent introgression lines developed from E. cardaminoides, D. tenuisiliqua and E. abyssinicum, respectively
A ACIAR B C
0.0
0.5
1.0
1.5
2.0
Introgression lines and ACIAR germplasm
Ste
m le
sion
leng
th (
cm)
3 w
ai
Figure 6 A magnified scale view of resistance responses against Sclerotinia sclerotiorum of ACIAR Brassica napus and B. juncea germplasm and introgression lines derived from wild crucifers Erucastrum cardaminoides, Diplotaxis tenuisiliqua and Erucastrum abyssinicum by box plot representation when range of stem lesion length was restricted to 0-2.0 cm as assessed 3 weeks after inoculation. The central bar, lower bar of the boxes and the lower whisker represent the median value, 25th percentile and the minimum value of the stem lesion length, respectively. A, B and C represent introgression lines developed from E. cardaminoides, D. tenuisiliqua and E. abyssinicum, respectively
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145
Table 1 Reactions against Sclerotinia sclerotiorum of different cross combinations of wild crucifers with cultivated species (Brassica rapa, B. nigra, B. juncea and B. napus) and ACIAR Brassica napus and B. juncea germplasm in relation to stem lesion length (cm) 3 weeks after inoculation
Cross combinations Number of genotypes tested
Median value of Stem lesion length (cm)
E. cardaminoides x B. rapaa 5 1.8 E. cardaminoides x B. nigraa 367 2.0 (E. cardaminoides x B. rapa) x B. juncea 331 1.3 (E. cardaminoides x B. nigra) x B.juncea 1154 1.6 (E. cardaminoides x B. nigra) x B. nigra 96 1.5 B. napus x E. cardaminoides 105 2.5 B. juncea x D. tenuisiliqua 109 1.2 (B. juncea x D. tenuisiliqua) x B. juncea 21 1.0 B. juncea x E. abyssinicum 227 1.7 (B. juncea x E. abyssinicum) x B. juncea 334 2.9 ACIAR 1080 8.7
aSelfed progenies of up to five generations (S5) were evaluated and in other cross combinations selfed progenies of up to four generations followed by backcross (BC1S4) were evaluated.
7.4.1.2 Experiment 2
All introgression lines with a stem lesion length of <1.0 cm were re-inoculated at the
late flowering stage above the site of inoculation for the first experiment. Overall,
genotypes showed reasonably consistent results between experiments 1 and 2
(significant linear relationship; P < 0.001), confirming the physiological resistance
identified in experiment 1.
7.4.1.3 Experiment 3
As determined by the Kruskal–Wallis test, there were significant overall differences (P
< 0.001) between the introgression lines derived from three different wild crucifers and
with the susceptible check comparison genotypes, in relation to stem lesion lengths 3
wai. The mean stem lesion length of genotypes used as susceptible check comparisons
in experiment 3 was 4.0 cm with a range varying from 0 to 15.5 cm. However, mean
values for stem lesion length for introgression lines developed from the wild crucifers E.
cardaminoides, D. tenuisiliqua and E. abyssinicum were much lower, viz. 0.42, 0.36 and
0.36 cm, with ranges for stem lesion length of 0-1.5, 0-1.2 and 0-1.2 cm, respectively.
The highly reduced stem lesion lengths recorded on the introgression lines were in
accordance with what was expected, as only introgression lines with stem lesion lengths
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146
<1.0 cm in experiment 1 were selected for testing in experiment 3. Moreover, 98% of
the genotypes selected in experiment 3 exhibited consistent results with stem lesion
length <1.0 cm, confirming the high level of resistance in the introgression lines derived
from the three wild crucifers as well as reliability of the screening technique used in this
study.
ACIAR B. juncea x Wiild species B
010
2030
40
aciar a b c d e f g h i j
010
2030
40
wild species crosses
Ste
m le
sion
leng
th (c
m) 3
wai
Figure 7 A box plot representation against Sclerotinia sclerotiorum of resistance responses of ACIAR Brassica napus and B. juncea germplasm and different cross combinations involving wild crucifers Erucastrum cardaminoides, Diplotaxis tenuisiliqua and Erucastrum abyssinicum with cultivated species of B. rapa, B. nigra, B. juncea and B. napus in relation to stem lesion length assessed at 3 weeks after inoculation. The central bar, boxes represent the median value, 25-75th percentile and whiskers the full range of responses
7.4.2 Comparison of introgression lines derived from three wild species
Significant differences were observed between the introgression lines developed from
the wild species E. cardaminoides and D. tenuisiliqua (P = 0.003), E. cardaminoides
and E. abyssinicum (P < 0.001), and D. tenuisiliqua and E. abyssinicum (P < 0.001)
[aciar] “ACIAR" [a] "(B. juncea x D. tenuisiliqua) x B. juncea" [b] "(B. juncea x E. abyssinicum) x B. juncea" [c] "(E. cardaminoides x B. nigra) x B.juncea" [d] "(E. cardaminoides x B. rapa) x B.juncea" [e] "B. juncea x D. tenuisiliqua [f] " B. juncea x E. abyssinicum" [g] "B. napus x E. cardaminoides" [h] "(E. cardaminoides x B. nigra) x B. nigra" [i] " E. cardaminoides x B. nigra" [j] " E. cardaminoides x B. rapa"
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147
with respect to stem lesion length 3wai as observed in experiment 1. However, no
significant differences were found when responses of introgression lines in relation to
stem lesion length were compared in experiment 3, which was expected as only those
genotypes whose stem lesion length were <1.0 cm in experiment 1 were evaluated in
this experiment.
Individuals from each cross combination (involving wild species with cultivated
species), along with introgression lines developed solely from the three wild species,
were divided into different resistance categories (HR, R, MR, S, HS) based on their
responses to S. sclerotiorum. The percent proportions of every resistant category
between different cross combinations and introgression lines were significantly different
(P < 0.001) as calculated using the Chi-square test (Fig. 8; Table 2).
Figure 8 The percent distribution of resistance responses against Sclerotinia sclerotiorum of introgression lines developed from wild crucifers Erucastrum cardaminoides, Diplotaxis tenuisiliqua and Erucastrum abyssinicum and ACIAR Brassica napus and B. juncea germplasm in relation to stem lesion length assessed at 3 weeks after inoculation. HR, R, MR, S and HS represent highly resistant, resistant, moderately resistant, susceptible and highly susceptible categories with stem lesion length ranging from 0 to <2.5; 2.5 to <5.0; 5.0 to <7.5; 7.5 to 10.0 and > 10.0 cm, respectively.
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Table 2 Resistance responses against Sclerotinia sclerotiorum of different cross combinations of wild crucifers with cultivated species of Brassica rapa, B. nigra, B. juncea and B. napus and ACIAR Brassica napus and B. juncea germplasm.
Cross HR R MR S VS Totals E. cardaminoides x B. rapaa 4(80.0) 0(0) 0(0) 1(20) 0(0) 5 E. cardaminoides x B. nigraa 261(71.1) 80(21.8) 15(4.1) 6(1.6) 5(1.4) 367 (E. cardaminoides x B. rapa) x B. juncea 256(77.3) 55(16.6) 15(4.5) 3(0.9) 2(0.6) 331 (E. cardaminoides x B. nigra) x B.juncea 895(77.6) 170(14.7) 58(5.0) 22(1.9) 9(0.8) 1154 (E. cardaminoides x B. nigra) x B. nigra 61(63.5) 18(18.8) 9(9.4) 5(5.2) 3(3.1) 96 B. napus x E. cardaminoides 66(62.9) 38(36.2) 1(1.0) 0(0) 0(0) 105 B. juncea x D. tenuisiliqua 80(73.4) 17(15.6) 6(5.5) 3(2.8) 3(2.8) 109 (B. juncea x D. tenuisiliqua) x B. juncea 18(85.7) 2(9.5) 1(4.8) 0(0) 0(0) 21 B. juncea x E. abyssinicum 142(62.6) 45(19.8) 27(11.9) 8(3.5) 5(2.2) 227 (B. juncea x E. abyssinicum) x B. juncea 162(48.5) 70(21.0) 45(13.5) 32(9.6) 25(7.5) 334 ACIAR 232(21.5) 162(15) 118(10.9) 69(6.4) 499(46.2) 1080
HR, R, MR, S and HS stand for highly resistant, resistant, moderately resistant, susceptible and highly susceptible categories with stem lesion length (cm) ranging from 0 to <2.5; 2.5 to <5.0; 5.0 to <7.5; 7.5 to 10.0 and > 10.0 cm, respectively. Values shown represent total number of genotypes of each cross combination for each resistance category while figures in parenthesis represent their percent proportions aSelfed progenies of up to five generations (S5) were evaluated and in other cross combinations selfed progenies of up to four generations followed by backcross (BC1S4) were evaluated.
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Table 3 Comparison of different crosses within each wild species Erucastrum cardaminoides, Diplotaxis tenuisiliqua and Erucastrum abyssinicum.
Combination 1 Combination 2 Significance
E. cardaminoides x B. nigra E. cardaminoides x B. rapa ns
(E. cardaminoides x B. nigra) x B. juncea (E. cardaminoides x B. rapa) x B. juncea s
(E. cardaminoides x B. nigra) x B. juncea E. cardaminoides x B. nigra s
(E. cardaminoides x B. rapa) x B. juncea E. cardaminoides x B. rapa ns
(B. juncea x D. tenuisiliqua) x B. juncea B. juncea x D. tenuisiliqua s
(B. juncea x E. abyssinicum) x B. juncea B. juncea x E. abyssinicum s
(P < 0.05) ‘s’ and ‘ns’ represent significant and non-significant differences, respectively, between crosses in relation to stem lesion length assessed 3 weeks after inoculation with Sclerotinia sclerotiorum
7.4.3 Comparison of different cross combinations within each wild species/effect of
second cross species
The cross combinations within the wild species E. cardaminoides, D. tenuisiliqua and
E. abyssinicum were significantly different (P < 0.05) in relation to stem lesion length at
3 wai. However, while crosses involving B. nigra or B. rapa with the wild species E.
cardaminoides (E. cardaminoides x B. nigra, E. cardaminoides x B. rapa) were not
significantly different from each other, significant differences were observed when
these same crosses were further back-crossed with B. juncea i.e [(E. cardaminoides x B.
nigra) x B. juncea and (E. cardaminoides x B. rapa) x B. juncea)] (Table 3). However,
proportion of the plants in the highly resistant (HR) category was similar in all the
crosses mentioned above (Table 2).
7.4.4 Correlation between stem lesion length and stem diameter
Positive significant correlation between stem lesion length and stem diameter (r = 0.05,
P < 0.001, n = 5040) was observed in experiment 1. However, the value of this Pearson
correlation coefficient was so low that this relationship between stem lesion length and
stem diameter was of very little importance. Similar results were also obtained when
stem lesion length was compared with stem diameter in experiment 3 (r = 0.0015, P <
0.001, n = 1135).
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7.5 DISCUSSION
Introgression lines developed from the three different wild crucifers (viz. E.
cardaminoides, D. tenuisiliqua and E. abyssinicum) showed extremely high levels of
resistance against S. sclerotiorum as compared to the currently available B. napus and B.
juncea germplasm. It is noteworthy that 98% of the progenies of the selected resistant
plants (experiment 3) exhibited consistent responses with stem lesion length <1.0 cm.
This demonstrates a very high transmission frequency of the gene(s) governing
resistance. Such high transmission frequency would be improbable if introgression was
incomplete or if there were one or more addition chromosomes. Maximum transmission
frequency of addition chromosomes can not be more than 0.5% through the female
gamete and is much less through male gamete as reported previously in Brassicas (Hua
et al., 2006) and in other cultivated crops (Chetelat et al., 1998; Shigyo et al., 1998;
Becerra Lopez-Lavalle and Brubaker 2007). Furthermore, selfed progenies of up to four
generations (BC1S4) of each different cross combination involving wild and cultivated
species were used in this study to evaluate their responses against Sclerotinia disease.
The probability of transmission of the alien chromosome is reduced with each selfed
generation. This coupled with very high male and female fertility of the introgression
lines justifies the contention of stable introgression of the gene(s) governing resistance
into the lines used for evaluation in this study.
The very high levels of resistance identified in these introgression lines against S.
sclerotiorum is the first example of such resistance being reported anywhere among
oilseed Brassicas. Only one B. napus line from China, viz. ZY006, with mean stem
lesion length <0.45 cm in a similar stem inoculation test, had been previously identified
as having high levels of resistance among cultivated genotypes of oilseed Brassica (Li
et al., 2008). Progeny of a single cross between B. napus and Capsella bursa-pastoris
were the next most resistant genotypes previously reported with mean stem lesion
length of 1.3 cm (Chen et al., 2007). The next most resistant B. napus genotypes that
have been previously reported included 06-6-3792 (China), ZY004 (China) and RT 108
(Australia) with mean stem lesion lengths of <3.0 cm (Li et al., 2008) and also
Zhongyou 821 (He et al., 1987; Li et al., 1999). In addition, the levels of resistance
reported previously in B. juncea were, in particular, far lower, e.g., B. juncea JM06018
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and JM 06006 with mean stem lesion lengths of ≤4.8cm (Li et al., 2008) as compared
with B. napus genotypes. This study, in contrast, identified 60% and 3.8% of the
genotypes with mean stem lesion lengths <3.0 and <0.45 cm respectively, amongst
introgression lines involving the cross combinations of three wild crucifers with B.
juncea and B. napus, signifying the outstanding levels of resistance present in these
genotypes.
Median values for stem lesion length for introgression lines derived from D.
tenuisiliqua, E. cardaminoides and E. abyssinicum were 1.2, 1.7 and 2.0 cm,
respectively, as compared to 8.7 cm for the ACIAR genotypes. Clearly, all three wild
crucifers used in this study had extremely high levels of resistance against S.
sclerotiorum. Even though the wild crucifer E. gallicum had been previously reported to
have better resistance to Sclerotinia disease as compared to cultivated lines of Brassica
species (Lefol et al., 1997a; Seguin–Swartz and Lefol, 1999), it was only evaluated
using a cut leaf bioassay with ascospores as the inoculation source. The efficacy of cut
leaf bioassays or detached leaf methods remains debatable, as this method correlates
poorly with the field performance of the Brassica genotypes (Bradley el al., 2006, C-X
Li and M.J. Barbetti, unpublished). However, this study utilized a field stem inoculation
technique across two consecutive years, a methodology shown to be reliable and
repeatable in differentiating oilseed B. napus genotypes responses to Sclerotinia disease
(Li et al., 2006; Buchwaldt et al., 2005). Consistent resistant reactions were observed in
introgression lines across experiments 1 and 2 and also across experiments 1 and 3,
confirming the very high level of physiological resistance identified in the developed
introgression lines.
Previous studies have reported that some of the morphological traits such as stem
diameter and growth stage of canola can affect the reaction of Brassica genotypes to
Sclerotinia disease (Zhao et al., 2004; Zhao and Wang, 2004; Li et al., 2006). While the
present study showed some relationship between stem lesion length and stem diameter
in both experiments 1 and 3, this relationship was weak and not considered meaningful.
This finding, taken in conjunction with the consistent results between experiments 1 and
2, which were performed at two different stages of flowering, is indicative that high
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levels of resistance identified in these introgression lines were not related to these
morphological traits.
The novel sources of resistance identified in this study are highly valuable genetic
resources that can be utilized in oilseed Brassica breeding programmes to increase
resistance in new cultivars against Sclerotinia disease. The present study constitutes the
first report of successful introgression of very high levels of resistance against S.
sclerotiorum from three wild crucifers, namely E. cardaminoides, D. tenuisiliqua and E.
abyssinicum, into cultivated Brassicas. Future work will focus on the identification and
mapping of the genes governing resistance against S. sclerotiorum.
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CHAPTER 8 GENERAL DISCUSSION
8.1 SUMMARY
Sclerotinia sclerotiorum is a hugely destructive plant pathogen and poses a major threat
to several economically important crops. Lack of effective disease control measures and
inadequate resistance in the cultivated germplasm limits the management of this disease
under field conditions. Poorly characterized resistance mechanisms against this
pathogen further confine the strategies that can be undertaken to design durable
resistance or effective disease control measures. Further, release of various toxic
compounds by this pathogen (Lumsden, 1979) and variation in the responses of
cultivars to this pathogen that are highly dependent even on slight changes in
environmental conditions makes it difficult to distinguish resistant genotypes. To
address all these, this project was set out with a basic approach to identify resistant
genotypes, (including the different form(s) of resistance expression), and to define the
underlying mechanism(s) of resistance in Brassica napus against S. sclerotiorum.
This project was successful in developing a rapid and reliable method of screening that
can identify reactions of B. napus genotypes to the disease caused by S. sclerotiorum.
Earlier reports on resistance to this pathogen in Brassica spp. (primarily in B. napus and
B. juncea) have only identified partial resistance and this is clearly the first report of the
identification of resistance in B. napus genotypes (e.g., cvs. Charlton and Mystic) at the
cotyledon stage. This investigation also provides a valuable insight into the mechanisms
of resistance at cellular (first report) and biochemical levels by which the resistant
cultivar Charlton was better able to meet the challenges from the pathogen, and was
identified in this study as the first B. napus genotype to show a hypersensitive reaction
to S. sclerotiorum. This study also reports the high level of resistance in introgression
lines developed from the wild crucifers with B. napus and B. juncea (as compared to the
ACIAR germplasm), that supports our initial hypothesis that the wild crucifers can
provide better sources of resistance than those that are available in commercial oilseed
Brassica germplasm, against this pathogen.
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8.1.1 Identification of sources of resistance
The deployment of a cotyledon assay to identify reactions of B. napus genotypes to S.
sclerotiorum, which although shown to be useful in other pathosystems (Kim et al.,
2000), proved to be highly successful in differentiating responses of B. napus genotypes
against S. sclerotiorum. The development of this method was essentially a prerequisite
of this project so that large numbers of B. napus genotypes can be rapidly screened in as
short a time as possible to identify resistant genotypes. However, various combinations
of the standardization steps had to be employed before achieving this objective, such as
use of an appropriate inoculum medium, as nutrients are necessary for initial
establishment of this pathogen (to simulate petals that are the common substrate in the
field), use of macerated mycelium instead of agar plugs so that mycelial inoculum can
be quantified, identification of the inoculum concentration that can fine-tune the
differentiation of responses of the B. napus genotypes, and defining the time of disease
assessments where maximum differences between resistant and susceptible genotypes
were apparent (data not presented). The resulting cotyledon test thus proved to be
invaluable, especially as it lead to the discovery of the unique responses of cv. Charlton
to S. sclerotiorum involving production of a hypersensitive reaction (Chapter 2, 3, 5 and
6) following application of a specific amount of inoculum while controlling various
environmental factors. Details of the pedigree of the two highly resistant cultivars viz.
Charlton and Mystic identified in this study have previously been described by Cowling
(2007), and could be of interest to the breeders for evolutionary studies and for
introgression of segments responsible for resistance into the cultivated germplasm.
The high degree of repeatability and precision of the cotyledon assay developed in this
study was evident from the high correlation coefficient values between various repeat
experiments [all with r > 0.90, with MBRS-1 isolate (Chapter 2) or r = 0.79 with
combination of isolates (Chapter 3)]. Such high correlation values are difficult to
achieve, especially with Sclerotinia disease where a slight change in environmental
conditions or inoculum pressure can result in highly variable resistance responses to this
pathogen (Bradley et al ., 2006). Further, the reliability of the method developed is also
reflected from the fact that genotype performance against S. sclerotiorum in the
cotyledon assay was significantly and positively correlated with stem lesion ratings
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from field performances of promising Brassica genotypes. Moreover, the cotyledon
assay developed in this study is an efficient, rapid and inexpensive method of screening
B. napus genotypes for resistance to S. sclerotiorum. It takes only a total of 16 days to
assess the responses of genotypes using this method compared with up to 3-4 months
when other methods such as the stem inoculation technique are utilized.
Another salient finding made in this study was when new sources of resistance
identified in initial screening experiment were further evaluated, with the developed
cotyledon test, across a range of S. sclerotiorum isolates. It is noteworthy that certain
genotypes showed consistent host responses (cv. Charlton) irrespective of the isolates of
S. sclerotiorum used in this study, whereas others showed a significantly variable
pattern of responses (ranging from resistant to susceptible responses, e.g., Zhongyou-
ang No. 4) depending upon the individual isolate used. These findings suggest that the
unique genotypes which show relatively consistent resistant reaction (e.g., cv. Charlton)
across different isolates should be preferentially used as standards in disease screening
programs and in commercial breeding programs, as these are the most likely genotypes
to perform consistently across different national and international geographic locations.
This further illustrates the advantage of screening Brassica genotypes with a range of S.
sclerotiorum isolates so that reaction of different host genotypes can be precisely
identified. Where such a spectrum of isolates is not readily available, it is best to use a
highly pathogenic isolate such as MBRS-1, as used by Li et al. (2006, 2007).
8.1.2 Production and comparison of ascosporic inoculum with mycelial inoculum
Ascospores are considered as a primary source of infection of S. sclerotiorum (Purdy,
1958; Jamaux et al., 1995) and were initially considered to be the ideal inoculum type
for the present study relating to defining the mechanism(s) of resistance against this
pathogen. Due to the inconsistencies reported in literature to date for carpogenic
germination of this pathogen under artificial conditions, different environmental
methods that can enhance carpogenic germination in the laboratory were evaluated in
the present study.
This study found that the overall scarification or constant rinsing with tap water
enhanced the carpogenic germination of sclerotia compared with the other
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environmental treatments employed. In contrast, other methods (e.g., sterilized distilled
water; sclerotia placed in water with constant aeration) where sclerotia still had
continued exposure to water, did not duplicate this affect. It is possible that the
enhanced carpogenic germination of sclerotia in constant rinsing with water also
involved a “scrubbing” affect apart from a passive leaching of the possible inhibitory
compounds present in the form of dried exudates on the sclerotial rind. This effect is
also similar to the reports relating to fungistasis in which spores of fungal pathogens
exposed to continuous rinsing germinated rapidly, as the fungistasis (Lockwood; 1977)
was negated by this “scrubbing” effect. It should also be noted that the environment in
the south west of Western Australia is typically Mediterranean and is characterized by
hot dry summer and cool wet winters often commencing in late autumn, and rainfall
occurring at this time could simulate the “scrubbing effect” similar to the treatment
conditions employed for carpogenic germination in this study. This behaviour is similar
to that of the seeds of the native plants of Western Australia where factors related to
aging and dormancy have been found to be critical (Sivasithamparam, 1993), with their
timing for germination coinciding with the breaking rains following a hot period of the
Mediterranean summer (Tieu, 2000; Tieu et al., 2001).
The majority of carpogenic germination of sclerotia occurring in this study under
laboratory conditions appeared to be initiated at the same time of the year as well as the
phase of plant growth when flowering of Brassicas occurs, under Western Australian
conditions. This indicates the probable presence of a seasonal rhythm like pattern in
relation to the carpogenic germination of this pathogen. The presence of a “biological
clock” relying on the accumulated information of daily photoperiodic changes and other
physical cues such as temperature, moisture and humidity has already been suggested
for other organisms such as insects (Danks, 2005). It could be that one or more of these
same cues could also be involved in the seasonal rhythm observed for carpogenic
germination in this study, which could be critical for fungi known to produce spores at a
time when appropriate host tissues become available for infection. This seasonal
rhythm-like pattern in this study was observed over a period of two years, and with two
isolates of this pathogen under laboratory conditions. Ideally, further studies on
carpogenic germination that also examine the effects of age of sclerotia and include
setting experiments across different periods of the year, utilizing sclerotia from different
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climatic zones and monitoring carpogenic germination under a range of different
controlled environmental conditions are needed to confirm the seasonality pattern in
carpogenic germination of this pathogen. Future, studies at molecular level, such as
those conducted for the Neurospora crassa circadian system (dePaula, et al., 2006;
Dunlap and Loros, 2006), would then help to elucidate the seasonality mechanism(s) for
carpogenic germination observed in this study.
8.1.2.1 Comparison of ascosporic inoculum with mycelial inoculum
Owing to the limited amount of ascospores produced in this project (due to the
difficulties associated with the large scale production of ascospores/chapter 4), its
utilization was only restricted to the study aimed at defining the mechanisms of
resistance at a histological level in order that various infection processes could be finely
monitored, starting with spore germination. However, for the proteomics investigation
where large amounts of infected tissue was required at different points of time, mycelial
inoculum was used only after the determination of the approximate level of inoculum
required for monitoring infection processes under the microscope (Chapter 2, Chapter
6).
This study also demonstrated that the macerated mycelial inoculum at the levels used in
this study was equally successful in differentiating the resistant and susceptible
cultivars. This is especially important, as it is a more readily available inoculum source
than the ascospores. Previous studies have also suggested that once mycelium, based on
agar plugs, is applied with a rich source of energy (e.g., PDA), it results in rapid and
extensive ramifications of the host tissue resulting in the provision of inadequate time
for the host to fully engage natural defense responses. For instance, as in earlier work
of Lumsden and Dow (1973) and in Huang et al., (2008), where colonized agar pieces
or petals superimposed on leaves led to the formation of an infection cushion enhancing
pathogen invasion within a few hours of inoculation. However, the amount of mycelial
inoculum used for the cotyledon assays in the project yielded the same results as with
ascosporic inoculum. This was apparent from the early phases of infection (histological
studies) where there were no differences in hyphal length between resistant and
susceptible genotypes at 12 hpi, and impediment of the fungal growth at 1 dpi on
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resistant Charlton was similar irrespective of the type of inoculum (ascospores vs.
mycelial) used.
8.1.3 Mechanisms of resistance
A valuable insight into the resistance mechanisms that was operational in the resistant
B. napus cultivar Charlton in response to the S. sclerotiorum infection was obtained
through morphological, anatomical and the proteomics investigations. Further, the
infection processes that were affected in resistant Charlton were investigated by using
both ascosporic and mycelial inoculum. It is noteworthy that in all inoculations there
was never any increase in lesion length on the resistant cultivar (data not presented for
ascosporic inoculum) beyond the HR lesion. However, infection on cotyledon (with
mycelial inoculum) on susceptible RQ001-02M2 progressed until day 4, when the
whole cotyledon collapsed.
At 12 h post inoculation (hpi), however there were no significant differences in resistant
Charlton and susceptible RQ001-02M2 in relation to the hyphal length irrespective of
the type of inoculum used for the investigations (Table 1). These histological results
suggest that no signals were imparted by either compatible or incompatible interactions
at this stage that could have affected the growth of the fungal hyphae on the surface of
the host genotype. However, initiation of a biochemical investigations revealed several
proteins, such as those involved in protein synthesis (cysteine synthase), protein folding
(20 kDa chaperonin), and those related to the metabolic pathways (including the one
involved in production of reactive oxygen species), that were significantly upregulated
in resistant Charlton (at 12 hpi) and they could have been responsible for mediating
defence responses against this pathogen. The possible impact of the activity of these
proteins on the pathogen, however, was evident on the resistant host a further 12 h later.
However, susceptible RQ001-02M2 also showed significant upregulation of some of the
proteins involved in metabolic pathways (e.g., dihydrolipoyl dehydrogenase).
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Table 1 Morphological, anatomical (using both ascosporic and mycelial inoculum) and biochemical changes associated with the infection processes of Sclerotinia sclerotiorum in resistant (cv. Charlton) and susceptible (RQ001-02M2) genotypes of Brassica napus at different time points
Hours/days post inoculation
Genotype Morphological (with mycelial inoculum)
Ascosporic inoculum Mycelial inoculum Proteins (biochemical)
12 hpi Resistant No visible lesion on the surface of the cotyledon
Germ tube elongation No visible growth in hyphal length
Cysteine synthase Malate dehydrgenase, Dihydrolipoyl dehydrogenase 1, 20 kDa chaperonin,Carbonic anhydrase
Susceptible No visible lesion on the surface of the cotyledon
Germ tube elongation No visible growth in hyphal length
Dihydrolipoyl dehydrogenase
1 dpi Resistant Small necrotic lesion Increase in hyphal length, emergence of small lateral branches
Significantly impeded hyphal growth as compared to susceptible genotype, increase in hyphal cell diameter
Major latex-related protein
Susceptible - Increase in hyphal length, hyphal apices swollen, emergence of small lateral branches
Extensive hyphal growth, but confined within the inoculum droplet area
Protein disulfide isomerase
2 dpi Resistant No increase in lesion size (No difference in Resistant and susceptible)
Increase in diameter of some of the hyphal cells, cytoplasmic content within the hyphal cells started shrinking
Significantly impeded hyphal growth, increase in hyphal cell diameter
Glutathione S-transferase, Cysteine synthase, 20 kDa chaperonin,
Susceptible Increase in lesion size (No difference in Resistant and susceptible)
Simple appressoria visible, increase in length of fungal hyphae and of lateral branches
Extensive hyphal growth, hyphae had extended beyond the periphery of the inoculum droplet area
Aspartate protease (virulent factor of S. sclerotiorum)
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Table 1 (Contd.) Morphological, anatomical (using both ascosporic and mycelial inoculum) and biochemical changes associated with the infection processes of Sclerotinia sclerotiorum in resistant (cv. Charlton) and susceptible (RQ001-02M2) genotypes of Brassica napus at different time points
Hours/days post inoculation
Genotype Morphological (with mycelial inoculum)
Ascosporic inoculum Mycelial inoculum Proteins (biochemical)
3 dpi Resistant No increase in lesion size
Extensive cytoplasm shrinkage in some of the hyphal cells, protoplast extrusion
Hyphal growth within the confines of inoculated area or arrested at the periphery of the inoculum droplet area, disintegration of hyphal cell wall
Glutathione S-transferase, S-adenosylmethionine synthetase, Monodehydroascorbate reductase, Major latex-related protein , Cysteine synthase, Protein disulfide isomerase
Susceptible Increase in lesion size and differences between R and S
Complex appressoria, extensive increase in length of fungal hyphae and of lateral branches
Whole cotyledon covered with mycelial growth
Protein disulfide isomerase, Superoxide dismutase (downregulated), Carbonic anhydrase (downregulated), Aspartate protease (virulent factor of S. sclerotiorum)
4 dpi Resistant No increase in lesion size
Protoplast extrusion, disintegration of hyphal cell
Susceptible Whole cotyledon is collapsed
Complex appressoria
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It is interesting that impedance of fungal growth on resistant Charlton occurred at the
beginning of the infection process and continued to be evident from 1 day post
inoculation (dpi) onwards (Table 1). This phenomenon was observed irrespective of the
type of the inoculum (ascosporic or mycelial), kind of inoculum medium (Pi glucose
medium or PDB + peptone medium) or type of the S. sclerotiorum isolate deployed
[WW-3(ascosporic inoculum)/MBRS-5(mycelial inoculum)] as evident in the
anatomical studies. Significant and prolonged impedance of hyphal growth on the
surface of resistant Charlton suggests that this resistant genotype perhaps produced
certain antifungal/fungistatic compounds, as suggested by Blakeman & Sztejnberg
(1973) in beetroot (Beta vulgaris) against Botrytis cinerea or Tsuji et al. (1992) in
Arabidopsis thaliana against Pseudomonas syringae. Interestingly, only one protein
type, i.e. pathogenesis related (PR) proteins (Major latex-related protein) was found to
increase in abundance at 1 dpi and that could be the first factor to be hypothetically
related to the impeded hyphal growth if its activity had an immediate affect on the
pathogen. Other proteins such as cysteine synthase and glutathione S-transferase were
increased in abundance only in resistant Charlton at different stages of infection
process. These proteins are known to stimulate transcription of various defence related
proteins such as phenylalanine ammonia lyase (PAL), antifungal proteins or
phytoalexins, and pathogenesis-related proteins involving chitinase or 1,3-β-glucanases
(e.g., Shinshi et al., 1990; Margis-Pinheiro et al., 1991; Rasmussen et al., 1992; Terras
et al., 1995; Zook and Hammerschmidt, 1997) that might have significantly retarded
hyphal growth as well as restricted increases in lesion size on resistant Charlton.
Purification and quantification of phytoalexin/antifungal compounds from resistant
Charlton at each phase of the infection processes can further support this hypothesis and
can elaborate the prevailing resistance mechanism(s) in this genotype.
It is noteworthy that the inoculum sources differed in subsequent behaviour of the
hyphae on resistant Charlton in which there was protoplast extrusion only from the
hyphae arising from the ascospores and not from mycelial inoculum. No explanation is
given to explain this differential response. However, some of the phenomena such as the
increases in diameter of hyphal cells followed by their disintegration were similar in
subsequent stages of infection processes irrespective of the inoculum source used. The
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protoplast extrusion observed on resistant Charlton could be attributed to the production
of various enzymes such as chitinase and β-glucanase which can digest cell walls of the
fungal hyphae. It is interesting increase in abundance of the genes responsible for
chitinase and β-glucanase production has also been reported in canola genotypes in
response to S. sclerotiorum infection (Zhao et al., 2009). Proteomic investigations
undertaken in this study also tend to support such involvement as several proteins such
as cysteine synthase, glutathione S-transferase, S-adenosylmethionine synthetase
(Ethylene biosynthesis) were found (interestingly coinciding with the protoplast
extrusion phase) only in resistant Charlton. These proteins are also known to induce
transcription of PR proteins including chitinase and β-glucanase (Wingate et al., 1988).
A combination of techniques such as quantification of chitinase/ β-glucanase activity
from resistant and susceptible genotypes (Guthrie et al., 2002) at different stages of
infection processes and/or exogenous application of artificial chitinase (Choquer et al.,
2007) on resistant and susceptible genotypes infected with the pathogen or its mutants
with and without chitinase genes, can further explain the phenomenon of protoplast
extrusion on the resistant Charlton.
Anatomical investigations of Charlton using ascosporic inoculum revealed that the
fungal hyphae arising from the mycelial mat was restricted up to the upper epidermis at
4, 6 and even at 8 dpi except for a few cells of palisade mesophyll layer where starch
deposits were found (Chapter 5). At 4 dpi, simple appressoria was present on resistant
Charlton, however, complex appressoria were consistently evident only on the
susceptible genotype. At 6 dpi and at 8 dpi, there was clear occurrence of infection
cushions on susceptible RQ001-02M2 and there was complete suppression of these in
the resistant genotype. These findings support the earlier established findings that the
formation of infection cushions is a prerequisite for successful invasion, and is not
unusual for certain necrotrophic pathogens such as Rhizoctonia solani (Anderson,
1982), where the invasion of cortical cells is mainly preceded by the production of
infection cushions. These cushions not only constitute large biomass of the fungus at a
specific point of contact to the host, but also facilitate production of larger quantities of
lytic enzymes and other metabolites that are required for pathogenesis (e.g., Prior &
Owen, 1964; Lumsden & Wergin, 1980; Tariq & Jeffries, 1986). Starch deposits were
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more prevalent in the susceptible RQ001-02M2 as compared with the resistant Charlton
by 4 dpi, which may have provided the pathogen with the carbon source required for its
saprophytic (growth on dead tissues) and parasitic activity (Chapter 5). Additionally,
calcium oxalate crystals in the resistant Charlton in this study were only observed at 8
dpi and were mainly confined to the upper epidermis of the infected tissue as compared
with the susceptible genotype where they were already present by 6 dpi and were
observed throughout the cotyledon tissue by 8 dpi (Chapter 5). As discussed in the
Review of Literature, oxalate crystals clearly play an important role in pathogenesis of
S. sclerotiorum, and it is quite clear that production of these crystals were suppressed in
the tissues of the resistant Charlton. This could be because of the improved expression
of oxalate oxidase gene by resistant Charlton that can enhance resistance to oxalic acid
secreted by the pathogen, by its oxidation into CO2 and H2O2 as reported in Helianthus
annus (Hu et al., 2003) or B. napus (Dong et al., 2008).
Another significant finding in this project was the production of the HR response (as
indicated before) by resistant Charlton, apparent during the early phases of infection as
evidenced by cytoplasmic disorganization of palisade mesophyll cells at 4 dpi and 6 dpi
with ascosporic inoculum, and at 1 dpi with mycelial inoculum. HR lesion observed in
resistant Charlton could be the consequence of the patho-system and inoculation
procedure that were used in this study. It is noteworthy that resistance through HR is
easily explained for biotrophic pathogens, however, it may be a complex mechanism
with necrotrophs which can utilize dead cells as substrates for growth. As a result, a
controversial role of HR response has been proposed involving necrotrophic pathogens.
With necrotrophs, it is considered that HR trigger the production of other antifungal
metabolites such as phytoalexins which prevents the invasion of mycelia into the plant
tissues outside the HR lesion (Hua Li et al., 2004, 2007a). Similarly, the selective
advantage of HR in resistant Charlton was provided by the increased levels of other
defence related enzymes such as cysteine synthase (which was upregulated at an early
stage of infection) and glutathione S-trasferase. These enzymes are also known to
stimulate the transcription of various phytoalexins and pathogenesis related proteins that
might have prevented the spread of the pathogen within the host tissue in addition to
keeping ROS levels under control. Furthermore, the results of these findings were also
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supported by the anatomical studies where darkly stained areas around the dead cells of
palisade mesophyll cells (indicative of phenolic or phytoalexins compounds) were only
observed in resistant Charlton. Further, Kim et al. (2008) reported that the oxalic acid
elicits plant programmed cell death during S. sclerotiorum disease development. It will
be interesting to compare the induction of genes involved in programmed cell death in
both resistant Charlton and susceptible RQ001-02M2 in addition to using TUNEL assay
or quantifying ROS and various antifungal compounds produced by these genotypes.
The result of these findings may confirm the hypothesis that the selective advantage of
hypersensitive response in the resistant genotype in response to S. sclerotiorum
infection is prevented due to the up-regulation of specific defence related genes.
It is also interesting that increases in abundance of various proteins in resistant Charlton
were apparent at different stages of the infection process. For instance, the enzyme
“Major latex-related enzyme” was significantly upregulated only at 1 and 3 dpi.
Similarly, the enzymes related to antioxidant defence (glutathione S-transferase and
monodehydrascorbate reductase) were only found to increase in abundance at 2 dpi and
3 dpi. Additionally, enzymes such as dihydrolipoyl dehydrogenase 1, 20 kDa
chaperonin were significantly increased in abundance only at 12 hpi. These findings
suggest that it may be possible that certain proteins are more important at specific
phases of the infection process, rather than all of them being active at all times.
8.1.4 Wild cruciferous as a potential source of high resistance to S. sclerotiorum
The search for resistant sources was further extended to wild cruciferous species to test
whether the alien germplasm can provide better sources of resistance to S. sclerotiorum
in comparison to the cultivated species. This study reports the very high level of
resistance in the introgression lines developed following hybridization of three wild
crucifers (viz. Erucastrum cardaminoides, Diplotaxis tenuisiliqua and E. abyssinicum)
with B. napus or B. juncea. The resistance responses of these genotypes were evaluated
in comparison to the 54 lines of B. napus and B. juncea obtained from Australia, India
and China (as a susceptible check comparison). A highly pathogenic isolate of S.
sclerotiorum was used in this screening test which was based on the conclusion of a
previous chapter (Chapter 3) that suggested the need to use a highly pathogenic strain of
CHAPTER 8
165
this pathogen when it is not practicable to use a broad spectrum of isolates to identify
genotypes with consistent resistance responses. The resistance responses of the
introgression lines evaluated in this field were characterized by using a stem inoculation
test (Li et al., 2006). The cotyledon assay was not used in this study as this method was
not standardized for such kind of populations.
8.1.5 Concluding Remarks and future work
The deployment of the cotyledon assay for screening B. napus genotypes lead to the
discovery of resistance in cv. Charlton through the production of a hypersensitive
response. Cultivar Charlton also showed consistent resistant responses across range of
isolates that were used in this project and hence is more suitable for inclusion into the
various breeding programmes.
Various investigations at morphological, histological and proteomic levels conducted in
resistant Charlton (in comparison to susceptible RQ001-02M2) revealed that a co-
ordinated expression of different factors were mediating defence responses in this
genotype in response to S. sclerotiorum infection. For instance, impendence of hyphal
growth, suppression of infection cushion and protoplast extrusion of fungal hyphae were
the significant defence responses that occurred at an anatomical level. It is also
noteworthy that some of the defence responses (impedance of hyphal growth and
increase in hyphae cell diameter) in resistant Charlton persisted irrespective of the type
of inoculum (ascospores/mycelium) used for histological investigations. These
anatomical investigations were further supported by the results of proteomic work
where proteins, including important defence related proteins such as cysteine synthase,
Glutathione S-transferase, monodehydroascorbate reductase and S-adenosylmethionine
synthase, were upregulated only in the resistant genotype. It also shows that resistance
in B. napus to S. sclerotiorum involves a spectrum of genes that may have to operate in
consort to be effective in managing Sclerotinia disease under severe disease pressure.
Further research in this area is needed to address the amount and activity of individual
proteins, in relation to each phase of the infection process, that were identified in the
resistant variety. This would fine-tune our understanding of effective resistance
mechanisms against this pathogen.
CHAPTER 8
166
This study has also opened a spectrum of possibilities especially from agronomic point
of view. One of the most notable outcomes was to identify the mechanistic basis for the
high levels of resistance in introgression lines developed from hybridization between
wild crucifers and B. napus or B. juncea. Future work that focuses on the identification
and mapping of the genes governing resistance against S. sclerotiorum and engineering
them into the cultivated Brassica species offers significant potential to further enhance
the levels of resistance against this devastating pathogen. It will also be useful to
investigate the defence responses that occur in the new introgression lines studied and
their comparison with those found in cv. Charlton in this project. This can not only
further broaden our understanding of mechanism(s) of resistance against this
devastating pathogen, but can also help in designing more effective and sustainable
disease control measures.
Overall, this study has taken a significant step forward in terms of identifying new
sources of resistance in B. napus genotype and defining the mechanisms of resistance
that are associated with symptom suppression in resistant Charlton. This study has also
significantly advanced our understanding of the mechanisms of resistance at both
cellular and biochemical levels in a B. napus genotype that can now form the basis for
developments of markers for disease resistance or to design the effective disease control
measures. The huge losses caused by this pathogen, lack of effective chemical and
cultural disease control practices, high variability in disease outbreaks (depending on
environmental conditions) and the cosmopolitan distribution of this pathogen, further
increases the importance of outcomes of this study. Additionally, this study has also
identified the areas where additional research is needed that can further enhance our
understanding of mechanisms of resistance in B. napus genotypes in response to the
recalcitrant pathogen S. sclerotiorum.
167
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APPENDIX 1
Oral presentations from this thesis
206
2009 Presented the talk “High level of resistance to Sclerotinia
sclerotiorum in introgressed lines derived from wild Brassica
species” at Rottnest Island summer school, organized by school of
Plant Biology, UWA, proceedings available at
http://www.plants.uwa.edu.au/studentnet/?a=99971 , page 22
2008 Awarded best presentation prize by Fisher Biotech for the talk
“Screening Brassica napus genotypes against Sclerotinia
sclerotiorum using a novel cotyledon assay” in Plant Health
Research Symposium, organised by Australasian Plant Pathology,
WA, October
2008 Presented the talk “ Mechanism of resistance against S. sclerotiorum
in oilseed Brassicas” in “Frontiers in agriculture”, postgraduate
showcase, organised by Institute of agriculture, UWA June, 2008,
Information available at
http://www.ioa.uwa.edu.au/papers/showcase
2007 Presented the talk “Resistance in oilseed Brassica species to
Sclerotinia sclerotiorum” at Rottnest Island summer school,
organized by school of Plant Biology, UWA
207
APPENDIX 2
208
Erratum to Chapter 3: Pathogenicity of morphologically different isolates of
Sclerotinia sclerotiorum with Brassica napus and B. juncea genotypes. European
Journal of Plant Pathology 126: 305-315.
On page 37 of thesis (page no. 307 of the published format), There is a typographical
error in the line “All cultures were incubated at 20oC and colony diameter measured
after 24 and 48 days of incubation” under the heading “Comparison of colony
characteristics”.
The corrected text is “All cultures were incubated at 20oC and colony diameter
measured after 24 and 48 hour of incubation”.
209
APPENDIX 3
Infection processes of S. sclerotiorum on the
resistant Charlton
210
Fig 1. Light micrographs showing histology of resistant (Brassica napus, Charlton)
genotype in response to Sclerotinia sclerotiorum infection (A) Sample cleared in acetic
acid: ethanol: water (2:2:1), stained with 1 % cotton blue, and photographed using a
Zeiss Axioplan 2 microscope photograph system. (B) 2 µm thick sections obtained and
photographed using the same photograph system. A. Vacoulation of hyphae mainly on
resistant Charlton with mycelial inoculum. B. Auto-fluorescence around the lesion of
the section in the resistant Charlton indicative of deposition of lignin (using ascosporic
inoculum)