Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability

9 Pág.

Detalhes bibliográficos
Autores: González Recio, Oscar, Scrobota, Natalia, López-Paredes, Javier, Saborío-Montero, Alejandro, Fernández, Almudena, López de Maturana, E., Villanueva, Beatriz, Goiri, Idoia, Atxaerandio, Raquel, García-Rodríguez, Aser
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/330786
Acesso em linha:http://hdl.handle.net/10261/330786
https://api.elsevier.com/content/abstract/scopus_id/85153324752
Access Level:Acceso aberto
Palavra-chave:Feed efficiency
Genetics
Genome-wide association studies
Holobiont
Microbiome
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network_acronym_str ES
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repository_id_str
dc.title.none.fl_str_mv Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability
title Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability
spellingShingle Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability
González Recio, Oscar
Feed efficiency
Genetics
Genome-wide association studies
Holobiont
Microbiome
title_short Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability
title_full Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability
title_fullStr Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability
title_full_unstemmed Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability
title_sort Review: Diving into the cow hologenome to reduce methane emissions and increase sustainability
dc.creator.none.fl_str_mv González Recio, Oscar
Scrobota, Natalia
López-Paredes, Javier
Saborío-Montero, Alejandro
Fernández, Almudena
López de Maturana, E.
Villanueva, Beatriz
Goiri, Idoia
Atxaerandio, Raquel
García-Rodríguez, Aser
author González Recio, Oscar
author_facet González Recio, Oscar
Scrobota, Natalia
López-Paredes, Javier
Saborío-Montero, Alejandro
Fernández, Almudena
López de Maturana, E.
Villanueva, Beatriz
Goiri, Idoia
Atxaerandio, Raquel
García-Rodríguez, Aser
author_role author
author2 Scrobota, Natalia
López-Paredes, Javier
Saborío-Montero, Alejandro
Fernández, Almudena
López de Maturana, E.
Villanueva, Beatriz
Goiri, Idoia
Atxaerandio, Raquel
García-Rodríguez, Aser
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
González Recio, Oscar [0000-0002-9106-4063]
Scrobota, Natalia [0009-0005-7492-3347]
López-Paredes, Javier [0000-0003-1507-2595]
Saborío-Montero, Alejandro [0000-0002-9840-0058]
Fernández, Almudena [0000-0002-4495-9366]
López de Maturana, E. [0000-0001-9425-3911]
Goiri, Idoia [0000-0002-6522-0085]
Atxaerandio, Raquel [0000-0002-8906-8516]
García-Rodríguez, Aser [0000-0001-5519-6766]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Feed efficiency
Genetics
Genome-wide association studies
Holobiont
Microbiome
topic Feed efficiency
Genetics
Genome-wide association studies
Holobiont
Microbiome
description 9 Pág.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_dcae04bc
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/330786
https://api.elsevier.com/content/abstract/scopus_id/85153324752
url http://hdl.handle.net/10261/330786
https://api.elsevier.com/content/abstract/scopus_id/85153324752
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
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info:eu-repo/grantAgreement/MINECO//RTA2015-00022-C03
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114426GB-C22
Departamento de ​Mejora Genética Animal
https://doi.org/10.1016/j.animal.2023.100780
Sí
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier BV
publisher.none.fl_str_mv Elsevier BV
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Review: Diving into the cow hologenome to reduce methane emissions and increase sustainabilityGonzález Recio, OscarScrobota, NataliaLópez-Paredes, JavierSaborío-Montero, AlejandroFernández, AlmudenaLópez de Maturana, E.Villanueva, BeatrizGoiri, IdoiaAtxaerandio, RaquelGarcía-Rodríguez, AserFeed efficiencyGeneticsGenome-wide association studiesHolobiontMicrobiome9 Pág.Interest on methane emissions from livestock has increased in later years as it is an anthropogenic greenhouse gas with an important warming potential. The rumen microbiota has a large influence on the production of enteric methane. Animals harbour a second genome consisting of microbes, collectively referred to as the "microbiome". The rumen microbial community plays an important role in feed digestion, feed efficiency, methane emission and health status. This review recaps the current knowledge on the genetic control that the cow exerts on the rumen microbiota composition. Heritability estimates for the rumen microbiota composition range between 0.05 and 0.40 in the literature, depending on the taxonomical group or microbial gene function. Variables depicting microbial diversity or aggregating microbial information are also heritable within the same range. This study includes a genome-wide association analysis on the microbiota composition, considering the relative abundance of some microbial taxa previously associated to enteric methane in dairy cattle (Archaea, Dialister, Entodinium, Eukaryota, Lentisphaerae, Methanobrevibacter, Neocallimastix, Prevotella and Stentor). Host genomic regions associated with the relative abundance of these microbial taxa were identified after Benjamini-Hoschberg correction (Padj < 0.05). An in-silico functional analysis using FUMA and DAVID online tools revealed that these gene sets were enriched in tissues like brain cortex, brain amigdala, pituitary, salivary glands and other parts of the digestive system, and are related to appetite, satiety and digestion. These results allow us to have greater knowledge about the composition and function of the rumen microbiome in cattle. The state-of-the art strategies to include methane traits in the selection indices in dairy cattle populations is reviewed. Several strategies to include methane traits in the selection indices have been studied worldwide, using bioeconomical models or economic functions under theoretical frameworks. However, their incorporation in the breeding programmes is still scarce. Some potential strategies to include methane traits in the selection indices of dairy cattle population are presented. Future selection indices will need to increase the weight of traits related to methane emissions and sustainability. This review will serve as a compendium of the current state of the art in genetic strategies to reduce methane emissions in dairy cattle.This research was financed by RTA2015-00022-C03 (METALGEN) project from the National Plan of Research, Development and Innovation 2013–2020 and the Department of Economic Development and Competitiveness (Madrid, Spain). BV thanks funding from MCIN/ AEI /10.13039/501100011033 (Project PID2020-114426GB-C22).Peer reviewedElsevier BVMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)González Recio, Oscar [0000-0002-9106-4063]Scrobota, Natalia [0009-0005-7492-3347]López-Paredes, Javier [0000-0003-1507-2595]Saborío-Montero, Alejandro [0000-0002-9840-0058]Fernández, Almudena [0000-0002-4495-9366]López de Maturana, E. [0000-0001-9425-3911]Goiri, Idoia [0000-0002-6522-0085]Atxaerandio, Raquel [0000-0002-8906-8516]García-Rodríguez, Aser [0000-0001-5519-6766]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_dcae04bcPublisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/330786https://api.elsevier.com/content/abstract/scopus_id/85153324752reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO//RTA2015-00022-C03info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114426GB-C22Departamento de ​Mejora Genética Animalhttps://doi.org/10.1016/j.animal.2023.100780Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3307862026-05-22T06:33:51Z
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