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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 |