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

doi:10.1126/sciadv.aav8391

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 VilkkiCesar 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

Research output: Contribution to journal › Article › peer-review

215 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 language	English
Article number	eaav8391
Journal	Science advances
Volume	5
Issue number	7
DOIs	https://doi.org/10.1126/sciadv.aav8391
State	Published - 2019
Externally published	Yes

Funding

Funders	Funder number
Seventh Framework Programme	640384, 289319
Seventh Framework Programme

UN SDGs

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

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10.1126/sciadv.aav8391

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John Wallace, R., Sasson, G., Garnsworthy, P. C., Tapio, I., Gregson, E., Bani, P., Huhtanen, P., Bayat, A. R., Strozzi, F., Biscarini, F., Snelling, T. J., Saunders, N., Potterton, S. L., Craigon, J., Minuti, A., Trevisi, E., Callegari, M. L., Cappelli, F. P., Cabezas-Garcia, E. H., ... Mizrahi, I. (2019). A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions. Science advances, 5(7), Article eaav8391. https://doi.org/10.1126/sciadv.aav8391

@article{b043dead45494038aba92c5a90ddb7ab,

title = "A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions",

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.",

author = "{John Wallace}, R. and Goor Sasson and Garnsworthy, {Philip C.} and Ilma Tapio and Emma Gregson and Paolo Bani and Pekka Huhtanen and Bayat, {Ali R.} and Francesco Strozzi and Filippo Biscarini and Snelling, {Timothy J.} and Neil Saunders and Potterton, {Sarah L.} and James Craigon and Andrea Minuti and Erminio Trevisi and Callegari, {Maria L.} and Cappelli, {Fiorenzo Piccioli} and Cabezas-Garcia, {Edward H.} and Johanna Vilkki and Cesar Pinares-Patino and Fliegerov{\'a}, {Kate{\v r}ina O.} and Jakub Mr{\'a}zek and Hana Sechovcov{\'a} and Jan Kope{\v c}n{\'y} and Aur{\'e}lie Bonin and Fr{\'e}d{\'e}ric Boyer and Pierre Taberlet and Fotini Kokou and Eran Halperin and Williams, {John L.} and Shingfield, {Kevin J.} and Itzhak Mizrahi",

note = "Publisher Copyright: Copyright {\textcopyright} 2019 The Authors,",

year = "2019",

doi = "10.1126/sciadv.aav8391",

language = "אנגלית",

volume = "5",

journal = "Science advances",

issn = "2375-2548",

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John Wallace, R, Sasson, G, Garnsworthy, PC, Tapio, I, Gregson, E, Bani, P, Huhtanen, P, Bayat, AR, Strozzi, F, Biscarini, F, Snelling, TJ, Saunders, N, Potterton, SL, Craigon, J, Minuti, A, Trevisi, E, Callegari, ML, Cappelli, FP, Cabezas-Garcia, EH, Vilkki, J, Pinares-Patino, C, Fliegerová, KO, Mrázek, J, Sechovcová, H, Kopečný, J, Bonin, A, Boyer, F, Taberlet, P, Kokou, F, Halperin, E, Williams, JL, Shingfield, KJ & Mizrahi, I 2019, 'A heritable subset of the core rumen microbiome dictates dairy cow productivity and emissions', Science advances, vol. 5, no. 7, eaav8391. https://doi.org/10.1126/sciadv.aav8391

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 L.

AU - Cappelli, Fiorenzo Piccioli

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.

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AN - SCOPUS:85068611220

SN - 2375-2548

VL - 5

JO - Science advances

JF - Science advances

IS - 7

M1 - eaav8391

ER -

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

Abstract

Funding

UN SDGs

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