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Genetic and environmental control of host-gut microbiota interactions.
Org, Elin; Parks, Brian W; Joo, Jong Wha J; Emert, Benjamin; Schwartzman, William; Kang, Eun Yong; Mehrabian, Margarete; Pan, Calvin; Knight, Rob; Gunsalus, Robert; Drake, Thomas A; Eskin, Eleazar; Lusis, Aldons J.
  • Org E; Department of Medicine/Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA;
  • Parks BW; Department of Medicine/Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA;
  • Joo JW; Bioinformatics IDP, University of California, Los Angeles, California 90095, USA;
  • Emert B; Department of Medicine/Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA;
  • Schwartzman W; Department of Medicine/Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA;
  • Kang EY; Department of Computer Science, University of California, Los Angeles, California 90095, USA;
  • Mehrabian M; Department of Medicine/Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA;
  • Pan C; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA;
  • Knight R; Departments of Pediatrics and Computer Science and Engineering, University of California, San Diego, California 92093, USA;
  • Gunsalus R; Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, California 90095, USA;
  • Drake TA; Department of Pathology and Laboratory Medicine, University of California, Los Angeles, California 90095, USA;
  • Eskin E; Department of Computer Science, University of California, Los Angeles, California 90095, USA; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA;
  • Lusis AJ; Department of Medicine/Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA; Department of Microbiology, Immun
Genome Res ; 25(10): 1558-69, 2015 Oct.
Article en En | MEDLINE | ID: mdl-26260972
ABSTRACT
Genetics provides a potentially powerful approach to dissect host-gut microbiota interactions. Toward this end, we profiled gut microbiota using 16s rRNA gene sequencing in a panel of 110 diverse inbred strains of mice. This panel has previously been studied for a wide range of metabolic traits and can be used for high-resolution association mapping. Using a SNP-based approach with a linear mixed model, we estimated the heritability of microbiota composition. We conclude that, in a controlled environment, the genetic background accounts for a substantial fraction of abundance of most common microbiota. The mice were previously studied for response to a high-fat, high-sucrose diet, and we hypothesized that the dietary response was determined in part by gut microbiota composition. We tested this using a cross-fostering strategy in which a strain showing a modest response, SWR, was seeded with microbiota from a strain showing a strong response, A×B19. Consistent with a role of microbiota in dietary response, the cross-fostered SWR pups exhibited a significantly increased response in weight gain. To examine specific microbiota contributing to the response, we identified various genera whose abundance correlated with dietary response. Among these, we chose Akkermansia muciniphila, a common anaerobe previously associated with metabolic effects. When administered to strain A×B19 by gavage, the dietary response was significantly blunted for obesity, plasma lipids, and insulin resistance. In an effort to further understand host-microbiota interactions, we mapped loci controlling microbiota composition and prioritized candidate genes. Our publicly available data provide a resource for future studies.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Microbioma Gastrointestinal Límite: Animals Idioma: En Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Microbioma Gastrointestinal Límite: Animals Idioma: En Año: 2015 Tipo del documento: Article