Taxonomic and functional prokaryote diversity in mildly arsenic-contaminated sediments |
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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 |
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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 |
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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. |
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Keywords: | Environmental genomics Arsenic Mining Biodiversity Metaproteomics |
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