Genome-wide association study and predictive ability for growth traits in Nellore cattle

Autor(es):Mostrar menos -

Carvalho, F. E. ^[1] ; Espigolan, R. ^[1] ; Berton, M. P. ^[2] ; Neto, J. B. S. ^[2] ; Silva, R. P. ^[1] ; Grigoletto, L. ^[1] ; Silva, R. M. O. ^[3] ; Ferraz, J. B. S. ^[1] ; Eler, J. P. ^[1] ; Aguilar, I ^[4] ; Lobo, R. B. ^[5] ; Baldi, F. ^[2]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Coll Anim Sci & Food Engineer, Dept Vet Med, 225 Duque de Caxias Norte Ave, BR-13635900 Pirassununga, SP - Brazil

^[2] Sao Paulo State Univ UNESP, Coll Agr & Vet Sci, Dept Anim Sci, Access Rd Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP - Brazil

^[3] Zoetis, 1240 Dr Chucri Zaidan St, Edificio Morumbi Corp, BR-04711130 Sao Paulo, SP - Brazil

^[4] Natl Inst Agr Res INIA, Montevideo - Uruguay

^[5] Nacl Assoc Breeders & Researchers ANCP, 463 Joao Godoy St, BR-14020230 Ribeirao Preto, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: LIVESTOCK SCIENCE; v. 231, JAN 2020.
• Citações Web of Science: 0

Resumo

This study aimed to identify genomic regions influencing growth traits in Nellore cattle and evaluate the predictive ability of each trait based on results obtained from single-step genome-wide association analyzes (ssGWAS) considering different single nucleotide polymorphims (SNP) densities of markers. The National Association of Breeders and Researchers provided the dataset, from eighteen Nellore herds participating of the Nellore Brazilian breeding program. The traits birth weight (BW), adjusted weight at 210 (W210) and at 450 (W450) days of age and adult cow weight (ACW) were considered. A total of 963 animals, genotyped using the alumina BovineHD BeadChip, were used as a reference population to impute genotypes of 7,689 animals, genotyped in low-density panel. Genotype imputation was performed using the FImpute 2.2 software. The ssGWAS was used to identify genomic regions associated to growth traits. Several genes in enrichment analysis were related to muscle and adipose tissue development and metabolism, feed efficiency, milk composition and maternal behavior. The predictive ability varied from low (0.10) to moderate (0.68). The predictive ability and bias for both panels were similar for all traits. The results found in this study should improve the understanding of genetic and physiologic mechanism associated with growth traits. However, the association of these results with other approaches, like system biologic and other omits information should improve the identification of causative genetic variants in growth traits in indicine cattle. (AU)

• Processo FAPESP: 17/10493-5 - Estudo de associação genômica em resistência à parasitas gastrointestinais em ovinos Santa Inês utilizando SNPs e CNVs
• Beneficiário: Mariana Piatto Berton
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado