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Temporal stability of the rumen microbiome and its longitudinal associations with performance traits in beef cattle

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Temporal stability of the rumen microbiome and its longitudinal associations with performance traits in beef cattle

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dc.contributor.author Lima, Joana es_ES
dc.contributor.author Martínez-Álvaro, Marina es_ES
dc.contributor.author Mattock, Jennifer es_ES
dc.contributor.author Auffret, Marc D. es_ES
dc.contributor.author Duthie, Carol-Anne es_ES
dc.contributor.author Cleveland, Matthew A. es_ES
dc.contributor.author Dewhurst, Richard J. es_ES
dc.contributor.author Watson, Mick es_ES
dc.contributor.author Roehe, Rainer es_ES
dc.date.accessioned 2024-11-13T19:13:12Z
dc.date.available 2024-11-13T19:13:12Z
dc.date.issued 2024-09-05 es_ES
dc.identifier.issn 2045-2322 es_ES
dc.identifier.uri http://hdl.handle.net/10251/211733
dc.description.abstract [EN] The rumen microbiome is the focus of a growing body of research, mostly based on investigation of rumen fluid samples collected once from each animal. Exploring the temporal stability of rumen microbiome profiles is imperative, as it enables evaluating the reliability of findings obtained through single-timepoint sampling. We explored the temporal stability of rumen microbiomes considering taxonomic and functional aspects across the 7-month growing-finishing phase spanning 6 timepoints. We identified a temporally stable core microbiome, encompassing 515 microbial genera (e.g., Methanobacterium) and 417 microbial KEGG genes (e.g., K00856-adenosine kinase). The temporally stable core microbiome profiles collected from all timepoints were strongly associated with production traits with substantial economic and environmental impact (e.g., average daily gain, daily feed intake, and methane emissions); 515 microbial genera explained 45-83%, and 417 microbial genes explained 44-83% of their phenotypic variation. Microbiome profiles influenced by the bovine genome explained 54-87% of the genetic variation of bovine traits. Overall, our results provide evidence that the temporally stable core microbiome identified can accurately predict host performance traits at phenotypic and genetic level based on a single timepoint sample taken as early as 7 months prior to slaughter. es_ES
dc.description.sponsorship The authors would like to acknowledge the financial support from Scottish Government (RESAS Division) as part of the 2016-2021 commission, Biotechnology and Biological Sciences Research Council (BBSRC BB/N01720X/1, BB/N016742/1, BB/S006567/1, and BB/S006680/1), and Genus PLC. This research is based on data from experiments funded by the Scottish Government as part of the 2011-2016 commission, Agriculture and Horticulture Development board (AHDB) Beef & Lamb, Quality Meat Scotland (QMS), and Department for Environment Food & Rural Affairs (Defra). es_ES
dc.language Inglés es_ES
dc.publisher Nature Publishing Group es_ES
dc.relation.ispartof Scientific Reports es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Rumen microbiome es_ES
dc.subject Temporal stability es_ES
dc.subject Beef cattle es_ES
dc.subject Performance traits es_ES
dc.subject Single-timepoint sampling es_ES
dc.subject Taxonomic and functional aspects es_ES
dc.subject Core microbiome es_ES
dc.title Temporal stability of the rumen microbiome and its longitudinal associations with performance traits in beef cattle es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1038/s41598-024-70770-3 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/BBSRC//BB%2FN01720X%2F1/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/BBSRC//BB%2FS006567%2F1/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/BBSRC//BB%2FS006680%2F1/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/BBSRC//BB%2FN016742%2F1/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Lima, J.; Martínez-Álvaro, M.; Mattock, J.; Auffret, MD.; Duthie, C.; Cleveland, MA.; Dewhurst, RJ.... (2024). Temporal stability of the rumen microbiome and its longitudinal associations with performance traits in beef cattle. Scientific Reports. 14(1). https://doi.org/10.1038/s41598-024-70770-3 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1038/s41598-024-70770-3 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.description.issue 1 es_ES
dc.identifier.pmid 39237607 es_ES
dc.identifier.pmcid PMC11377694 es_ES
dc.relation.pasarela S\531802 es_ES
dc.contributor.funder Biotechnological Science Research Council, Reino Unido es_ES


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