The ISME Journal · 2015 · 141 citations · 42 references
Life SciencesBiologyMicrobiologyAquatic MicrobiologyMicrobial EcologyMicrobial MetabolismAquatic Microbial EcologyCarbon FixationEnvironmental MetagenomicsEnvironmental Microbial GenomicsMicrobial BiogeochemistryNitrogen CycleAnammoxAnammox ProcessDenitrificationDissimilatory Nitrate Reduction To AmmoniumIron CycleIron OxidationMetagenomic Metabolic ReconstructionNitrate Reduction
Stratified sulfurous lakes are appropriate environments for studying the links between composition and functionality in microbial communities and are potentially modern analogs of anoxic conditions prevailing in the ancient ocean. We explored these aspects in the Lake Banyoles karstic area (NE Spain) through metagenomics and in silico reconstruction of carbon, nitrogen and sulfur metabolic pathways that were tightly coupled through a few bacterial groups. The potential for nitrogen fixation and denitrification was detected in both autotrophs and heterotrophs, with a major role for nitrogen and carbon fixations in Chlorobiaceae. Campylobacterales accounted for a large percentage of denitrification genes, while Gallionellales were putatively involved in denitrification, iron oxidation and carbon fixation and may have a major role in the biogeochemistry of the iron cycle. Bacteroidales were also abundant and showed potential for dissimilatory nitrate reduction to ammonium. The very low abundance of genes for nitrification, the minor presence of anammox genes, the high potential for nitrogen fixation and mineralization and the potential for chemotrophic CO2 fixation and CO oxidation all provide potential clues on the anoxic zones functioning. We observed higher gene abundance of ammonia-oxidizing bacteria than ammonia-oxidizing archaea that may have a geochemical and evolutionary link related to the dominance of Fe in these environments. Overall, these results offer a more detailed perspective on the microbial ecology of anoxic environments and may help to develop new geochemical proxies to infer biology and chemistry interactions in ancient ecosystems.
42
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
C. B. Walker, José R. de la Torre, Martin G. Klotz et al. · Proceedings of the National Academy of Sciences · 2010 · 938 citations
Life Sciences, Biology, Microbiology +13
Ecology of marine Bacteroidetes: a comparative genomics approach
Beatriz Fernández-Gómez, Michael Richter, Margarete Schüler et al. · The ISME Journal · 2013 · 745 citations · Full text