Volume 64, Issue 3 pp. 395-406

Biogeography of sulfate-reducing prokaryotes in river floodplains

Marzia Miletto

Marzia Miletto

Department of Microbial Wetland Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Nieuwersluis, The Netherlands

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Alexander Loy

Alexander Loy

Department of Microbial Ecology, Faculty of Life Sciences, University of Vienna, Vienna, Austria

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A. Martijn Antheunisse

A. Martijn Antheunisse

Department of Landscape Ecology, Institute of Environmental Biology, Utrecht University, Utrecht, The Netherlands

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Roos Loeb

Roos Loeb

Department of Aquatic Ecology & Environmental Biology, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, The Netherlands

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Paul L.E. Bodelier

Paul L.E. Bodelier

Department of Microbial Wetland Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Nieuwersluis, The Netherlands

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Hendrikus J. Laanbroek

Hendrikus J. Laanbroek

Department of Microbial Wetland Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Nieuwersluis, The Netherlands

Department of Landscape Ecology, Institute of Environmental Biology, Utrecht University, Utrecht, The Netherlands

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First published: 06 May 2008
Citations: 3
Correspondence: Marzia Miletto, Department of Microbial Wetland Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Rijksstraatweg 6, 3631 AC Nieuwersluis, The Netherlands. Tel.: +31 (0)294 239 300; fax: +31 (0)294 232 224; e-mail: [email protected]

Editor: Alfons Stams

Abstract

In this study, a large-scale field survey was conducted to describe the biogeography of sulfate-reducing prokaryotes (SRPs) in river floodplains. Fingerprints obtained with three methods, i.e. 16S rRNA gene-based oligonucleotide microarray, dsrB-based denaturing gradient gel electrophoresis (DGGE) and polar lipid-derived fatty acid (PLFA) analyses, were used as a proxy to describe the SRPs community diversity. Each set of profiles was subjected to a combined multivariate/correlation analysis in order to compare SRP community profiles and to highlight the environmental variables influencing the SRPs distribution along environmental gradients. Floodplain soils harbored distinct SRP communities displaying biogeographic patterns. Nearly all profiles from the tidal sites consistently separated from the nontidal sites, independently from the screening method and the multivariate statistics used. The distribution of the microarray/DGGE/PLFA-based fingerprints in the principal component plots could be correlated to eight soil variables, i.e. soil organic matter, total nitrogen, total phosphorous and total potassium, and extractable ammonium, nitrate, phosphate and sulfate, as well as seven pore water variables, i.e. phosphate, sulfate, sulfide, chloride, sodium, potassium and magnesium ions. Indication of a salinity- and plant nutrient-dependent distribution of SRPs related to Desulfosarcina, Desulfomonile and Desulfobacter was suggested by microarray, DGGE and PLFA analyses.

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