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The metabolic niche of a prominent sulfate-reducing human gut bacterium [3]

GSE48808 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2013/07/12 Platform GPL13112
Summary
Sulfate-reducing bacteria (SRB) colonize the guts of ~50% of humans. We used genome-wide transposon mutagenesis and insertion-site sequencing (INSeq), RNA-Seq, plus mass spectrometry to characterize genetic and environmental factors that impact the niche of Desulfovibrio piger, the most common SRB in a surveyed cohort of healthy USA adults. Gnotobiotic mice were colonized with an assemblage of sequenced human gut bacterial species with or without D. piger and fed diets with different levels and types of carbohydrates and sulfur sources. Diet was a major determinant of functions expressed by this artificial 9-member community and of the genes that impact D. piger fitness; the latter includes high- and low-affinity systems for utilizing ammonia, a limiting resource for D. piger in mice consuming a polysaccharide-rich diet. While genes involved in hydrogen consumption and sulfate reduction are necessary for its colonization, varying dietary free sulfate levels did not significantly alter levels of D. piger, which can obtain sulfate from the host in part via cross-feeding mediated by Bacteroides-encoded sulfatases. Chondroitin sulfate, a common dietary supplement, increased D. piger and H2S levels without compromising gut barrier integrity. A chondroitin sulfate-supplemented diet together with D. piger impacted the assemblage’s substrate utilization preferences, allowing consumption of more reduced carbon sources, and increasing the abundance of the H2-producing Actinobacterium, Collinsella aerofaciens. Our findings provide genetic and metabolic details of how this H2-consuming SRB shapes the responses of a microbiota to diet ingredients, and a framework for examining how individuals lacking D. piger differ from those that harbor it.
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Direct links to NCBI, no account and no request form: the whole study as GSE48808_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA211824 and SRA study SRP027255. Searching any of these in the dataset finder brings you back here.

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