A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions
Author(s) -
R. J. Wallace,
Goor Sasson,
P. C. Garnsworthy,
Ilma Tapio,
Emma Gregson,
Paolo Bani,
Pekka Huhtanen,
A.R. Bayat,
Francesco Strozzi,
Filippo Biscarini,
Timothy J. Snelling,
Neil Saunders,
Sarah Potterton,
J. Craigon,
Andrea Minuti,
Erminio Trevisi,
Maria Luisa Callegari,
F. Piccioli-Cappelli,
E.H. Cabezas-Garcia,
Johanna Vilkki,
C.S. Pinares-Patiño,
K. Fliegerová,
Jakub Mrázek,
Hana Sechovcová,
J Kopečný,
Aurélie Bonin,
Frédéric Boyer,
Pierre Taberlet,
Fotini Kokou,
Eran Halperin,
J. L. Williams,
K.J. Shingfield,
Itzhak Mizrahi
Publication year - 2019
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.aav8391
Subject(s) - rumen , microbiome , productivity , biology , dairy industry , core (optical fiber) , dairy cattle , zoology , microbiology and biotechnology , food science , genetics , computer science , fermentation , economics , macroeconomics , telecommunications
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.
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