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Wallace, R John; Sasson, Goor; Garnsworthy, Philip C; Tapio, Ilma; Gregson, Emma; Bani, Paolo; Huhtanen, Pekka; Bayat, Ali R; Strozzi, Francesco; Biscarini, Filippo; Snelling, Timothy J; Saunders, Neil; Potterton, Sarah L; Craigon, James; Minuti, Andrea; Trevisi, Erminio; Callegari, Maria L; Cappelli, Fiorenzo Piccioli; Cabezas-Garcia, Edward H; Vilkki, Johanna; Pinares-Patino, Cesar; Fliegerová, Kateřina O; Mrázek, Jakub; Sechovcová, Hana; Kopečný, Jan; Bonin, Aurélie; Boyer, Frédéric; Taberlet, Pierre; Kokou, Fotini; Halperin, Eran; Williams, John L; Shingfield, Kevin J; Mizrahi, Itzhak
Science advances, 07/2019, Letnik: 5, Številka: 7Journal Article
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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Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Vir: Osebne bibliografije
in: SICRIS
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