Metagenomic approach studying the taxonomic and functional diversity of the bacterial community in a mesotrophic lake (Lac du Bourget--France).
The main goals of this work were to identify the metabolic pathways of the bacterial community in a lacustrine ecosystem and to establish links between taxonomic composition and the relative abundances of these metabolic pathways. For this purpose, we analysed a 16S rRNA gene library obtained by gene amplification together with a sequence library of both insert ends on c. 7700 fosmids. Whatever the library used, Actinobacteria was the most abundant bacterial group, followed by Proteobacteria and Bacteroidetes. Specific aquatic clades such as acI and acIV (Actinobacteria) or LD12 and GOBB-C201 (Alphaproteobacteria) were found in both libraries. From comparative analysis of metagenomic libraries, the metagenome of this lake was characterized by overrepresentation of genes involved in the degradation of xenobiotics mainly associated with Alphaproteobacteria. Actinobacteria were mainly related to metabolic pathways involved in nucleotide metabolism, cofactors, vitamins, energy, replication and repair. Betaproteobacteria appeared to be characterized by the presence of numerous genes implicated in environmental information processing (membrane transport and signal transduction) whereas glycan and carbohydrate metabolism pathways were overrepresented in Bacteroidetes. These results prompted us to propose hypotheses on the ecological role of these bacterial classes in lacustrine ecosystems.
Debroas
Didier
D
Université Blaise Pascal--Laboratoire Microorganismes: génome et environnement, UMR/CNRS 6023, Aubiere cedex, France. didier.debroas@univ-bpclermont.fr
Humbert
Jean-François
JF
Enault
François
F
Bronner
Gisèle
G
Faubladier
Michael
M
Cornillot
Emmanuel
E
D001419:Bacteria / Q000145:classification* / Q000235:genetics / Q000378:metabolism; D001483:Base Sequence; D044822:Biodiversity; D005602:France; D005618:Fresh Water / Q000382:microbiology*; D005798:Genes, Bacterial; D023281:Genomics; D053858:Metabolic Networks and Pathways; D008969:Molecular Sequence Data; D010802:Phylogeny; D012336:RNA, Ribosomal, 16S / Q000032:analysis
D012336:RNA, Ribosomal, 16S