PLoS Genetics (Aug 2019)

Genetic determinants of gut microbiota composition and bile acid profiles in mice.

  • Julia H Kemis,
  • Vanessa Linke,
  • Kelsey L Barrett,
  • Frederick J Boehm,
  • Lindsay L Traeger,
  • Mark P Keller,
  • Mary E Rabaglia,
  • Kathryn L Schueler,
  • Donald S Stapleton,
  • Daniel M Gatti,
  • Gary A Churchill,
  • Daniel Amador-Noguez,
  • Jason D Russell,
  • Brian S Yandell,
  • Karl W Broman,
  • Joshua J Coon,
  • Alan D Attie,
  • Federico E Rey

DOI
https://doi.org/10.1371/journal.pgen.1008073
Journal volume & issue
Vol. 15, no. 8
p. e1008073

Abstract

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The microbial communities that inhabit the distal gut of humans and other mammals exhibit large inter-individual variation. While host genetics is a known factor that influences gut microbiota composition, the mechanisms underlying this variation remain largely unknown. Bile acids (BAs) are hormones that are produced by the host and chemically modified by gut bacteria. BAs serve as environmental cues and nutrients to microbes, but they can also have antibacterial effects. We hypothesized that host genetic variation in BA metabolism and homeostasis influence gut microbiota composition. To address this, we used the Diversity Outbred (DO) stock, a population of genetically distinct mice derived from eight founder strains. We characterized the fecal microbiota composition and plasma and cecal BA profiles from 400 DO mice maintained on a high-fat high-sucrose diet for ~22 weeks. Using quantitative trait locus (QTL) analysis, we identified several genomic regions associated with variations in both bacterial and BA profiles. Notably, we found overlapping QTL for Turicibacter sp. and plasma cholic acid, which mapped to a locus containing the gene for the ileal bile acid transporter, Slc10a2. Mediation analysis and subsequent follow-up validation experiments suggest that differences in Slc10a2 gene expression associated with the different strains influences levels of both traits and revealed novel interactions between Turicibacter and BAs. This work illustrates how systems genetics can be utilized to generate testable hypotheses and provide insight into host-microbe interactions.