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Identifying gut microbe-host phenotype relationships using combinatorial communities in gnotobiotic mice.
- Source :
-
Science translational medicine [Sci Transl Med] 2014 Jan 22; Vol. 6 (220), pp. 220ra11. - Publication Year :
- 2014
-
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.
- Subjects :
- Adiposity
Algorithms
Animals
Antigens, CD metabolism
Cecum microbiology
Fatty Acids chemistry
Feces microbiology
Female
Forkhead Transcription Factors genetics
Gastrointestinal Tract microbiology
Humans
Immune System
Integrin alpha Chains metabolism
Male
Metagenome
Mice
Mice, Inbred C57BL
Neuropilin-1 genetics
Phenotype
Systems Biology
T-Lymphocytes, Regulatory immunology
Germ-Free Life
Intestines microbiology
Microbiota physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1946-6242
- Volume :
- 6
- Issue :
- 220
- Database :
- MEDLINE
- Journal :
- Science translational medicine
- Publication Type :
- Academic Journal
- Accession number :
- 24452263
- Full Text :
- https://doi.org/10.1126/scitranslmed.3008051