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A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions

  • R. John Wallace*
  • , Goor Sasson
  • , Philip C. Garnsworthy
  • , Ilma Tapio
  • , Emma Gregson
  • , Paolo Bani
  • , Pekka Huhtanen
  • , Ali R. Bayat
  • , Francesco Strozzi
  • , Filippo Biscarini
  • , Timothy J. Snelling
  • , Neil Saunders
  • , Sarah L. Potterton
  • , James Craigon
  • , Andrea Minuti
  • , Erminio Trevisi
  • , Maria L. Callegari
  • , Fiorenzo Piccioli Cappelli
  • , Edward H. Cabezas-Garcia
  • , Johanna Vilkki
  • Cesar Pinares-Patino, Kateřina O. Fliegerová, Jakub Mrázek, Hana Sechovcová, Jan Kopečný, Aurélie Bonin, Frédéric Boyer, Pierre Taberlet, Fotini Kokou, Eran Halperin, John L. Williams, Kevin J. Shingfield, Itzhak Mizrahi
*Corresponding author for this work
  • University of Aberdeen
  • Ben-Gurion University of the Negev
  • University of Nottingham
  • Luke Natural Resources Institute Finland
  • Catholic University of the Sacred Heart
  • Swedish University of Agricultural Sciences
  • Parco Tecnologico Padano
  • Enterome
  • National Research Council of Italy
  • Agri-Food and Biosciences Institute, Belfast
  • Czech Academy of Sciences
  • Université Joseph Fourier
  • University of California at Los Angeles
  • Adelaide University

Research output: Contribution to journalArticlepeer-review

332 Scopus citations

Abstract

A 1000-cow study across four European countries was undertaken to understand to what extent ruminant microbiomes can be controlled by the host animal and to identify characteristics of the host rumen microbiome axis that determine productivity and methane emissions. A core rumen microbiome, phylogenetically linked and with a preserved hierarchical structure, was identified. A 39-member subset of the core formed hubs in co-occurrence networks linking microbiome structure to host genetics and phenotype (methane emissions, rumen and blood metabolites, and milk production efficiency). These phenotypes can be predicted from the core microbiome using machine learning algorithms. The heritable core microbes, therefore, present primary targets for rumen manipulation toward sustainable and environmentally friendly agriculture.

Original languageEnglish
Article numbereaav8391
JournalScience advances
Volume5
Issue number7
DOIs
StatePublished - 2019
Externally publishedYes

Funding

FundersFunder number
European Commission
Horizon 2020 Framework Programme640384
Seventh Framework Programme289319

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 2 - Zero Hunger
      SDG 2 Zero Hunger
    2. SDG 13 - Climate Action
      SDG 13 Climate Action

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