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Genome scan for postmortem carcass traits in nellore cattle

dc.contributor.authorJúnior, G. A. Fernandes [UNESP]
dc.contributor.authorCosta, R. B. [UNESP]
dc.contributor.authorDe Camargo, G. M.F. [UNESP]
dc.contributor.authorCarvalheiro, R. [UNESP]
dc.contributor.authorRosa, G. J.M.
dc.contributor.authorBaldi, F. [UNESP]
dc.contributor.authorGarcia, D. A. [UNESP]
dc.contributor.authorGordo, D. G.M. [UNESP]
dc.contributor.authorEspigolan, R. [UNESP]
dc.contributor.authorTakada, L. [UNESP]
dc.contributor.authorMagalhães, A. F.B. [UNESP]
dc.contributor.authorBresolin, T. [UNESP]
dc.contributor.authorFeitosa, F. L.B. [UNESP]
dc.contributor.authorChardulo, L. A.L. [UNESP]
dc.contributor.authorDe Oliveira, H. N. [UNESP]
dc.contributor.authorDe Albuquerque, L. G. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionCNPq
dc.contributor.institutionUniversity of Wisconsin–Madison
dc.date.accessioned2018-12-11T17:31:56Z
dc.date.available2018-12-11T17:31:56Z
dc.date.issued2016-10-01
dc.description.abstractCarcass traits measured after slaughter are economically relevant traits in beef cattle. In general, the slaughter house payment system is based on HCW. Ribeye area (REA) is associated with the amount of the meat in the carcass, and a minimum of backfat thickness (BFT) is necessary to protect the carcass during cooling. The aim of this study was to identify potential genomic regions harboring candidate genes affecting those traits in Nellore cattle. The data set used in the present study consisted of 1,756 Nellore males with phenotype records. A subset of 1,604 animals had both genotypic and phenotypic information. Genotypes were generated based on a panel with 777,962 SNPs from the Illumina Bovine HD chip. The SNP effects were calculated based on the genomic breeding values obtained by using the single-step GBLUP approach and a genomic matrix re-weighting procedure. The proportion of the variance explained by moving windows of 100 consecutive SNPs was used to assess potential genomic regions harboring genes with major effects on each trait. The top 10 non-overlapping SNP-windows explained 8.72%, 11.38%, and 9.31% of the genetic variance for REA, BFT, and HCW, respectively. These windows are located on chromosomes 5, 7, 8, 10, 12, 20, and 29 for REA; chromosomes 6, 8, 10, 13, 16, 17, 18, and 24 for BFT; and chromosomes 4, 6, 7, 8, 14, 16, 17, and 21 for HCW. For REA, there were identified genes (CDKN2A and CDKN2B) involved in the cell cycle biological process which affects many aspects of animal growth and development. The SLC38A1 and SLC38A2 genes, both from SLC38 AA transporter family, was also associated with REA. The AA transporters are essential for cell growth and proliferation, acting as carriers of tissue nutrient supplies. Various genes identified for BFT (SORCS2, AQP3, AQP7, CDC42BPA, ASIP, and ACSS2) have been associated with lipid metabolism in different mammal species. One of the most promising genes identified for HCW was the PLAG1. There is evidence, in the literature, that this gene is located in putative QTL affecting carcass weight in beef cattle. Our results showed several genomic regions containing plausible candidate genes that may be associated with carcass traits in Nellore cattle. Besides contributing to a better understanding of the genetic control of carcass traits, the identified genes can also be helpful for further functional genomic studies.en
dc.description.affiliationFaculdade de Ciências Agrárias e Veterinárias UNESP
dc.description.affiliationCNPq
dc.description.affiliationUniversity of Wisconsin–Madison
dc.description.affiliationFaculdade de Medicina Veterinária e Zootecnia UNESP
dc.description.affiliationDepartamento de Zootecnia, Via de acesso Paulo Donato Castellane s/n
dc.description.affiliationUnespFaculdade de Ciências Agrárias e Veterinárias UNESP
dc.description.affiliationUnespFaculdade de Medicina Veterinária e Zootecnia UNESP
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: #2009/16118–5
dc.description.sponsorshipIdFAPESP: #2015/06140–4
dc.format.extent4087-4095
dc.identifierhttp://dx.doi.org/10.2527/jas.2016-0632
dc.identifier.citationJournal of Animal Science, v. 94, n. 10, p. 4087-4095, 2016.
dc.identifier.doi10.2527/jas.2016-0632
dc.identifier.file2-s2.0-85016422086.pdf
dc.identifier.issn1525-3163
dc.identifier.issn0021-8812
dc.identifier.scopus2-s2.0-85016422086
dc.identifier.urihttp://hdl.handle.net/11449/178750
dc.language.isoeng
dc.relation.ispartofJournal of Animal Science
dc.relation.ispartofsjr0,848
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectBackfat thickness
dc.subjectBeef cattle
dc.subjectCarcass weight
dc.subjectGenome-wide association study
dc.subjectRibeye area
dc.subjectSingle-step genomic BLUP approach
dc.titleGenome scan for postmortem carcass traits in nellore cattleen
dc.typeArtigo
dspace.entity.typePublication
unesp.departmentZootecnia - FCAVpt

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