%0 Journal Article %1 Faith2014Identifying %A Faith, Jeremiah J. %A Ahern, Philip P. %A Ridaura, Vanessa K. %A Cheng, Jiye %A Gordon, Jeffrey I. %D 2014 %I American Association for the Advancement of Science %J Science Translational Medicine %K communities gut-microbiome %N 220 %P 220ra11 %R 10.1126/scitranslmed.3008051 %T Identifying Gut Microbe–Host Phenotype Relationships Using Combinatorial Communities in Gnotobiotic Mice %U http://dx.doi.org/10.1126/scitranslmed.3008051 %V 6 %X 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 (Tregs) and expansion of Nrp1(lo/-) peripheral Tregs, 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.

@article{Faith2014Identifying, 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 (Tregs) and expansion of Nrp1(lo/-) peripheral Tregs, 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. }, added-at = {2018-12-02T16:09:07.000+0100}, author = {Faith, Jeremiah J. and Ahern, Philip P. and Ridaura, Vanessa K. and Cheng, Jiye and Gordon, Jeffrey I.}, biburl = {https://www.bibsonomy.org/bibtex/2c57823c7d1bb7a95f708fbdad1545a33/karthikraman}, citeulike-article-id = {13021079}, citeulike-linkout-0 = {http://dx.doi.org/10.1126/scitranslmed.3008051}, citeulike-linkout-1 = {http://stm.sciencemag.org/content/6/220/220ra11.abstract}, citeulike-linkout-2 = {http://stm.sciencemag.org/content/6/220/220ra11.full.pdf}, citeulike-linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/24452263}, citeulike-linkout-4 = {http://www.hubmed.org/display.cgi?uids=24452263}, day = 22, doi = {10.1126/scitranslmed.3008051}, interhash = {0fe7248b03f106df66332d0b25309302}, intrahash = {c57823c7d1bb7a95f708fbdad1545a33}, issn = {1946-6242}, journal = {Science Translational Medicine}, keywords = {communities gut-microbiome}, month = jan, number = 220, pages = {220ra11}, pmid = {24452263}, posted-at = {2015-12-10 05:02:33}, priority = {2}, publisher = {American Association for the Advancement of Science}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Identifying Gut {Microbe–Host} Phenotype Relationships Using Combinatorial Communities in Gnotobiotic Mice}, url = {http://dx.doi.org/10.1126/scitranslmed.3008051}, volume = 6, year = 2014 }