I. Introduction

20
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

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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). - PowerPoint PPT Presentation

Transcript of I. Introduction

Page 1: I. Introduction

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

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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

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V.Results: DistLM T-RFLPsACS = Physico-chemical (20%) + Organic matter (26%) +

Biological (17%)

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Resu

lts

Resu

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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!!


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