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Taxonomic and functional prokaryote diversity in mildly arsenic-contaminated sediments
Authors:Halter David  Cordi Audrey  Gribaldo Simonetta  Gallien Sébastien  Goulhen-Chollet Florence  Heinrich-Salmeron Audrey  Carapito Christine  Pagnout Christophe  Montaut Didier  Seby Fabienne  Van Dorsselaer Alain  Schaeffer Christine  Bertin Philippe N  Bauda Pascale  Arsène-Ploetze Florence
Affiliation:a Laboratoire de Génétique Moléculaire, Génomique, Microbiologie, Département Microorganismes, Génomes, Environnement, UMR7156 Université de Strasbourg/CNRS, 28 rue Goethe, 67083 Strasbourg Cedex, France
b Laboratoire des Interactions Ecotoxicologie Biodiversité Ecosystèmes (LIEBE), UMR7146, CNRS, Université Paul Verlaine, Campus Bridoux, rue du Général Delestraint, 57070 Metz, France
c Institut Pasteur, Département de Microbiologie, Unité de Biologie Moléculaire chez les Extrêmophiles (BMGE), 5, rue du Docteur Roux 75724 Paris cedex 15, France
d Laboratoire de Spectrométrie de Masse Bio-organique, Institut Pluridisciplinaire Hubert Curien, UMR7178 Université de Strasbourg/CNRS, 25 rue Becquerel, 67087 Strasbourg, France
e Laboratoire Ultra-Traces Analyse Aquitaine, Hélioparc Pau-Pyrénées, 2 avenue du Président Angot, 64053 Pau cedex 9, France
Abstract:
Arsenic-resistant prokaryote diversity is far from being exhaustively explored. In this study, the arsenic-adapted prokaryotic community present in a moderately arsenic-contaminated site near Sainte-Marie-aux-Mines (France) was characterized, using metaproteomic and 16S rRNA-encoding gene amplification. High prokaryotic diversity was observed, with a majority of Proteobacteria, Acidobacteria and Bacteroidetes, and a large archaeal community comprising Euryarchaeaota and Thaumarchaeota. Metaproteomic analysis revealed that Proteobacteria, Planctomycetes and Cyanobacteria are among the active bacteria in this ecosystem. Taken together, these results highlight the unsuspected high diversity of the arsenic-adapted prokaryotic community, with some phyla never having been described in highly arsenic-exposed sites.
Keywords:Environmental genomics   Arsenic   Mining   Biodiversity   Metaproteomics
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