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![Page 1: Prokaryotic abundance, activity and community structure in relation to the quality of dissolved organic matter in the deep waters off the Galician Coast.](https://reader035.fdocuments.net/reader035/viewer/2022070411/56649c875503460f9493f005/html5/thumbnails/1.jpg)
Prokaryotic abundance, activity and community structure in relation to the quality of dissolved organic matter in the deep waters off the Galician Coast (NW Spain).
Elisa Guerrero-Feijóo, Mar Nieto-Cid, Xosé-Antón Álvarez-Salgado, Marta
Álvarez, Víctor Hernando-Morales, Eva Sintes, Eva Teira, Gerhard J.
Herndl, Marta M. Varela
![Page 2: Prokaryotic abundance, activity and community structure in relation to the quality of dissolved organic matter in the deep waters off the Galician Coast.](https://reader035.fdocuments.net/reader035/viewer/2022070411/56649c875503460f9493f005/html5/thumbnails/2.jpg)
I. Introduction
The prokaryotes are an important component in marine
plankton
Arístegui et al. 2009
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I. Introduction
The prokaryotes are an important component in marine
plankton
Herndl and Reinthaler, 2013
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II. Aims1. Determine the abundance, activity
and the prokaryotic community structure (Bacteria & Archaea)
2. Study the relationship between prokaryotic community structure and environmental variables
environmental variables
biologic
organic matter
physico-chemical
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III: Study areaSampling site (NW Spain)
St 111
St 108
St 16 St 11
Two cruises:In 2011 BIOPROF-1In 2012 BIOPROF-2
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IV: MethodsProkaryotic abundance
(PA)
Prokaryotic heterotrophic production
(PHP)
Smith and
Azam
(1992)
Prokaryotic community structure
FingerprintingCARD-FISH
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V. Results: PropertiesWater
masses
EZ
ENACW-OMZ
MW
LSW
ENADW
LDW
LDW
ENADW
MWLSW
OMZ
BIOPROF-1
BIOPROF-2
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Resu
lts
Resu
lts
V.Results: PA & PHP
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Resu
lts
Resu
lts
V.Results: CARD-FISHThaumarchaeot
aBacteria
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V.Results: CARD-FISH
Ʃ=97.82%
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Resu
lts
Resu
lts
Relationship: CARD-FISH and quality DOM
V.Results: CARD-FISH
Quality DOM BacteriaThaumarchae
ota
FDOMM -0.68 0.48
FDOMT 0.51 -
CDOM254 0.36 -
CDOM340 0.23 -
CDOM365 0.23 -
SDOM275-295 - 0.33
DOC 0.53 -
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Archaeal Community Structure (ACS)
Resu
lts
Resu
lts
Euphotic zone
Deep waters
Mesopelagic waters
V.Results: T-RFLPs
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Euphotic zone
Deep waters
Mesopelagic waters
Bacterial Community Structure (BCS)
V.Results: ARISA
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Results: DisTLM analysisFor running the model: Best procedure
Sets Variables
Physico-Chemical
TemperatureSalinityOxygenNitrateSilicatePhosphate
Dissolved Organic Matter
FDOMM
FDOMT
CDOM254
CDOM340
CDOM365
SDOM275-295
DOC
BiologicProkaryotic abundanceProkaryotic heterotrophic activity
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Results: DisTLM analysisFor running the model: Best procedure
Sets Variables
Physico-Chemical
TemperatureSalinityOxygenNitrateSilicatePhosphate
Dissolved Organic Matter
FDOMM
FDOMT
CDOM254
CDOM340
CDOM365
SDOM275-295
DOC
BiologicProkaryotic abundanceProkaryotic heterotrophic activity
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Results: DisTLM analysisFor running the model: Best procedure
Sets Variables
Physico-Chemical
TemperatureSalinityOxygenNitrateSilicatePhosphate
Dissolved Organic Matter
FDOMM
FDOMT
CDOM254
CDOM340
CDOM365
SDOM275-295
DOC
BiologicProkaryotic abundanceProkaryotic heterotrophic activity
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Resu
lts
Resu
lts
V.Results: DistLM T-RFLPsACS = Physico-chemical (20%) + Organic matter (26%) +
Biological (17%)
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Resu
lts
Resu
lts
V.Results: DisTLM ARISABCS = Physico-chemical (38%) + Organic matter (30%)+
Biological (18%)
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VI. Conclusions Prokaryotic abundance and prokaryotic heterotrophic
production decrease with depth.
Thaumarchaeota relative abundance was higher in deep waters than surface layer, while Bacterial abundance tends to decrease with depth. SAR-11 and Alteromonas dominated the prokaryotic community structure inhabiting surface waters. SAR-202 and SAR-324 increased with depth. SAR-406 did not show any clear trend.
The prokaryotic community assemblages clearly clustered according to the different water masses.
DisTLM analysis explained that only 29% of the variation of ACS can be modeled by the environmental variables tested in this study. DOM represented the primary factor driving the ACS. On the other hand, the analysis explained 49% of the variation for the BCS to the variables included in this work. The physico-chemical set was the most representative to modeling the BCS.
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Acknowledgment
Fátima Eiroa
ElenaRey
Ángel Lamas
Rebeca Alvariño
Vladimir Dobal
Other importan
t members
Crew of the R/V Cornide de Saavedra
Co-authors
Marta M Varela
Mar NietoCid
Pepe ÁlvarezSalgado
VictorHernandoMorales
Eva Sintes
Eva Teira
GerhardHerndl
Marta Álvarez
Funding:BIO-PROFMODUPLAN
Elisa Guerrero-Feijóo is supported by Project BIO-
PROF
THANK FOR YOUR ATTENTION!!