TY - JOUR
T1 - A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions
AU - John Wallace, R.
AU - Sasson, Goor
AU - Garnsworthy, Philip C.
AU - Tapio, Ilma
AU - Gregson, Emma
AU - Bani, Paolo
AU - Huhtanen, Pekka
AU - Bayat, Ali R.
AU - Strozzi, Francesco
AU - Biscarini, Filippo
AU - Snelling, Timothy J.
AU - Saunders, Neil
AU - Potterton, Sarah L.
AU - Craigon, James
AU - Minuti, Andrea
AU - Trevisi, Erminio
AU - Callegari, Maria Luisa
AU - Piccioli Cappelli, Fiorenzo
AU - Cabezas-Garcia, Edward H.
AU - Vilkki, Johanna
AU - Pinares-Patino, Cesar
AU - Fliegerová, Kateřina O.
AU - Mrázek, Jakub
AU - Sechovcová, Hana
AU - Kopečný, Jan
AU - Bonin, Aurélie
AU - Boyer, Frédéric
AU - Taberlet, Pierre
AU - Kokou, Fotini
AU - Halperin, Eran
AU - Williams, John L.
AU - Shingfield, Kevin J.
AU - Mizrahi, Itzhak
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - inglese
KW - inglese
UR - http://hdl.handle.net/10807/146908
UR - https://advances.sciencemag.org/content/5/7/eaav8391/tab-pdf
U2 - 10.1126/sciadv.aav8391
DO - 10.1126/sciadv.aav8391
M3 - Article
SN - 2375-2548
VL - 5
SP - eaav8391-N/A
JO - Science advances
JF - Science advances
ER -