Cited by 403Gut microbiota and healthNutrition, Genetics, and DiseaseOral microbiology and periodontitis research

Genetic and environmental control of host-gut microbiota interactions

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Org, Elin, Parks, Brian W., Joo, Jong Wha J., Emert, Benjamin, Schwartzman, William, Kang, Eun Yong, Mehrabian, Margarete, Pan, Calvin +5 more·2015·Genome Research

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.

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  • Recent multi-omic studies have revealed an impact of gut microbiota on host responses to dietary challenge and on epigenetic programming.

    “Recent multi-omic studies [31, 33, 34] have revealed an impact of gut microbiota on host responses to dietary challenge and on epigenetic programming.”

    From Multi-omics approaches to disease (2017) · cites this paper as [33]

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Authors
Org, E., Parks, B. W., Joo, J. W. J., Emert, B., Schwartzman, W., Kang, E. Y., Mehrabian, M., Pan, C., Knight, R., Gunsalus, R., Drake, T. A., Eskin, E., & Lusis, A. J.
Affiliations
  • University of California, Los Angeles (US)
  • University of California San Diego (US)
Venue
Genome Research
Published
2015-08-10
Volume
25
Issue
10
Pages
1558-1569
ISSN
  • 1088-9051 (ISSN-L)
  • 1549-5469
OpenAlex
W2161377204
Cited by
381
References
70
Citations by year
2026: 8 · 2025: 16 · 2024: 28 · 2023: 34 · 2022: 36 · 2021: 75 · 2020: 41 · 2019: 27 · 2018: 38 · 2017: 36 · 2016: 38 · 2015: 3
Type
posted content
Language
en
Open access
Locations
  • Genome Research (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
Funders
  • National Institutes of Health (HL028481, HL30568, DK094311)
  • UCLA Iris Cantor Women's Health Center
  • MOBILITAS Postdoctoral Research (MJD252, 330381)
  • NIH (T32-HD07228)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
Keywords
gut microbiota composition, inbred mouse strains, association mapping, cross-fostering, high-fat high-sugar diet, Akkermansia muciniphila, obesity, insulin resistance, plasma lipids, candidate genes
MeSH terms
Gastrointestinal Microbiome, Animals, Diet, Environment, Female, Male, Mice, Inbred Strains, Obesity, RNA, Ribosomal, 16S, Sucrose, Heredity, Mice, Genome-Wide Association Study, Diet, High-Fat

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