• Corpus ID: 55908513

Identification of genomic regions related with carcass traits in Nellore beef cattle

@inproceedings{Carvalho2018IdentificationOG,
  title={Identification of genomic regions related with carcass traits in Nellore beef cattle},
  author={Minos Esperandio de Carvalho and Fernando S Baldi and Miguel HA Santana and Ricardo Vieira Ventura and Rachel Santos Bueno and Marina de Nadai Bonin and Fernanda M. Rezende and E. C. Mattos and Joanir Pereira Eler and Jos{\'e} Bento Sterman Ferraz},
  year={2018}
}

• M. Carvalho, F. Baldi, +7 authors J. Ferraz
• Published 2018
• Biology

The aim of this study was to identify, by single step genome wide association study (ssGWAS), genomic regions that potentially have association with ribeye muscle area and backfat thickness in Nellore cattle. Phenotypes were obtained according to standard USDA Quality Grade (1999). Those animals were genotyped using the Illumina beadchip BovineHD® (~777K SNP, 407 animals) array and the Illumina Bovine beadchip HD® GGPi (~74K SNP, 502 animals), which was imputed for the HD using FImpute software, based on another Nellore population genotyped for Illumina beadchip BovineHD® (777K). Analyses were performed using a pedigree composed by 6,276 animals and, assuming contemporary group (farm and slaughter batch) as fixed effect and age at slaughter as a covariate. Single step analyses were realized by Blupf90 program considering windows of 10 markers (SNP) to estimate their effects, this procedure enables the identification of regions associated with ribeye area and backfat thickness along the chromosomes. After quality control (MAF <0.05%, call rate <90%), 463.995 SNPs in autosomal chromosomes were used in the association analyses. For ribeye area, 14 regions in 11 different chromosomes, that explained more than 1% of the additive variance, were explored and some genes were identified in these regions, as TWIST2, SFXN1, CMYA5, CPQ and MRS2. And for backfat thickness, 7 regions in 3 different chromosomes, that also explained more than 1% of the additive variance were explored and the observed in these regions were OR2S2, LOC100299372, LOC523083, LOC532403, 5S_rRNA, LOC613441, SNORA69 and ITGA9. With ssGWAS method using high density panel was possible to identify regions related to ribeye muscle area and backfat thickness in Nellore beef cattle. Posteriorly, those genes and their pathways will be investigated to evaluate their importance for meat quality traits.