4.5 Article

A reference gene catalogue of the pig gut microbiome

Journal

NATURE MICROBIOLOGY
Volume 1, Issue 12, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/NMICROBIOL.2016.161

Keywords

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Funding

  1. INRA metaprogramme Meta-omics of Microbial Ecosystems (MEM)
  2. Animal Genetics Division of INRA
  3. Biology Department of the University of Copenhagen
  4. BGI-Shenzhen
  5. European Union - INRA MEM metaprogramme [267196]
  6. Shenzhen Municipal Government of China [JCYJ20140418095735538, DRC-SZ[2015]162, CXB201108250098A, CXZZ20150330171521403]
  7. National Transgenic Project of China [2014ZX0801007B]
  8. Science and Technology Plan of Shenzhen City
  9. Shenzhen-Hong Kong Innovation Circle Research Fund, China [SGLH20120928140607107]
  10. Danish Innovation Fund [4105-00011A, 0603-00774B]
  11. Metagenopolis grant [ANR-11-DPBS-0001]

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The pig is a major species for livestock production and is also extensively used as the preferred model species for analyses of a wide range of human physiological functions and diseases(1). The importance of the gut microbiota in complementing the physiology and genome of the host is now well recognized(2). Knowledge of the functional interplay between the gut microbiota and host physiology in humans has been advanced by the human gut reference catalogue(3,4). Thus, establishment of a comprehensive pig gut microbiome gene reference catalogue constitutes a logical continuation of the recently published pig genome(5). By deep metagenome sequencing of faecal DNA from 287 pigs, we identified 7.7 million non-redundant genes representing 719 metagenomic species. Of the functional pathways found in the human catalogue, 96% are present in the pig catalogue, supporting the potential use of pigs for biomedical research. We show that sex, age and host genetics are likely to influence the pig gut microbiome. Analysis of the prevalence of antibiotic resistance genes demonstrated the effect of eliminating antibiotics fromanimal diets and thereby reducing the risk of spreading antibiotic resistance associated with farming systems.

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