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Identifying gut microbe-host phenotype relationships using combinatorial communities in gnotobiotic mice.


ABSTRACT: Identifying a scalable, unbiased method for discovering which members of the human gut microbiota influence specific physiologic, metabolic, and immunologic phenotypes remains a challenge. We describe a method in which a clonally arrayed collection of cultured, sequenced bacteria was generated from one of several human fecal microbiota samples found to transmit a particular phenotype to recipient germ-free mice. Ninety-four bacterial consortia of diverse size, randomly drawn from the culture collection, were introduced into germ-free animals. We identified an unanticipated range of bacterial strains that promoted accumulation of colonic regulatory T cells (T(regs)) and expansion of Nrp1(lo/-) peripheral T(regs), as well as strains that modulated mouse adiposity and cecal metabolite concentrations, using feature selection algorithms and follow-up monocolonizations. This combinatorial approach enables a systems-level understanding of microbial contributions to human biology.

SUBMITTER: Faith JJ 

PROVIDER: S-EPMC3973144 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

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Identifying gut microbe-host phenotype relationships using combinatorial communities in gnotobiotic mice.

Faith Jeremiah J JJ   Ahern Philip P PP   Ridaura Vanessa K VK   Cheng Jiye J   Gordon Jeffrey I JI  

Science translational medicine 20140101 220


Identifying a scalable, unbiased method for discovering which members of the human gut microbiota influence specific physiologic, metabolic, and immunologic phenotypes remains a challenge. We describe a method in which a clonally arrayed collection of cultured, sequenced bacteria was generated from one of several human fecal microbiota samples found to transmit a particular phenotype to recipient germ-free mice. Ninety-four bacterial consortia of diverse size, randomly drawn from the culture col  ...[more]

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