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

I. Introduction Theprokaryotes are animportantcomponent in marine plankton Arístegui et al. 2009

I. Introduction Theprokaryotes are animportantcomponent in marine plankton Herndl and Reinthaler, 2013

II. Aims 1. Determine theabundance, activity and theprokaryoticcommunitystructure (Bacteria & Archaea) 2. Studytherelationshipbetweenprokaryoticcommunitystructure and environmental variables environmental variables biologic organicmatter physico-chemical

III: Studyarea Sampling site (NW Spain) Twocruises: In 2011  BIOPROF-1 In 2012  BIOPROF-2 St 111 St 108 St 16 St 11

IV: Methods Prokaryotic abundance (PA) Prokaryotic heterotrophic production (PHP) Smith and Azam (1992) Prokaryotic community structure CARD-FISH Fingerprinting

V. Results: Properties BIOPROF-1 BIOPROF-2 Water masses EZ ENACW-OMZ MW LSW ENADW LDW ENADW LDW MW LSW OMZ

V.Results: PA & PHP Results

V.Results: CARD-FISH Results Bacteria Thaumarchaeota

V.Results: CARD-FISH Ʃ=97.82%

V.Results: CARD-FISH Results Relationship: CARD-FISH and quality DOM

V.Results: T-RFLPs Archaeal Community Structure (ACS) Euphoticzone Results Deepwaters Mesopelagicwaters

V.Results: ARISA Bacterial Community Structure (BCS) Mesopelagic waters Deep waters Euphotic zone

Results: DisTLManalysis Forrunningthemodel: Bestprocedure

V.Results: DistLM T-RFLPs ACS = Physico-chemical (20%) + Organicmatter (26%) + Biological (17%) Results

V.Results: DisTLM ARISA BCS = Physico-chemical (38%) + Organicmatter(30%)+ Biological (18%) Results

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.

Acknowledgment Elisa Guerrero-Feijóo is supportedby Project BIO-PROF Funding: BIO-PROF MODUPLAN Crew of the R/V Cornide de Saavedra Co-authors Marta M Varela Marta Álvarez Victor Hernando Morales Eva Teira Eva Sintes Mar Nieto Cid Pepe Álvarez Salgado Gerhard Herndl THANK FOR YOUR ATTENTION!! Otherimportantmembers Rebeca Alvariño Vladimir Dobal Fátima Eiroa Ángel Lamas Elena Rey

I. Introduction

I. Introduction

Presentation Transcript

I. Introduction

I. Introduction

I. Introduction

I. Introduction

I. INTRODUCTION

I. Introduction

I. Introduction

I. Introduction

I. Introduction

I. Introduction

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Introduction I

I. Introduction

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I. Introduction

I. Introduction

I. INTRODUCTION