Genomic regions and genes associated with carcass quality in Nelore cattle

Author(s):Show less -

Carvalho, M. E. ^[1] ; Baldi, F. S. ^[2] ; Alexandre, P. A. ^[1] ; Santana, M. H. A. ^[1] ; Ventura, R. V. ^[3] ; Bueno, R. S. ^[4] ; Bonin, M. N. ^[5] ; Rezende, F. M. ^[6] ; Coutinho, L. L. ^[7] ; Eler, J. P. ^[1] ; Ferraz, J. B. S. ^[1]

Affiliation

^[1] Univ Sao Paulo, Dept Med Vet, Fac Zootecnia & Engn Alimentos, Pirassununga, SP - Brazil

^[2] Univ Estadual Paulista, Fac Ciencias Agr & Vet, Jaboticabal, SP - Brazil

^[3] Univ Sao Paulo, Dept Nutr & Prod Anim, Fac Med Vet & Zootecnia, Pirassununga, SP - Brazil

^[4] Univ Sao Paulo, Dept Ciencias Basicas, Fac Zootecnia & Engn Alimentos, Pirassununga, SP - Brazil

^[5] Univ Fed Mato Grosso do Sul, Fac Med Vet & Zootecnia, Campo Grande, MS - Brazil

^[6] Univ Fed Uberlandia, Fac Med Vet, Uberlandia, MG - Brazil

^[7] Univ Sao Paulo, Dept Ciencia Anim, Escola Super Agr Luiz de Queiroz, Piracicaba, SP - Brazil

• Document type: Journal article
• Source: Genetics and Molecular Research; v. 18, n. 1 FEB 26 2019.
• Web of Science Citations: 1

Abstract

Many studies have explored variability to select cattle with high genetic potential for economic interest traits. Genetic variability is a powerful tool to improve production indexes in cattle, as it also is associated with variations in meat and carcass quality traits. We made a Genome-Wide Association Study of beef cattle of Bos indicus origin, in particular Nelore animals, to identify regions and genes associated with carcass quality, by examining phenotypic and genotypic data from 909 animals. Several genes in associated regions were observed to have above 1% of the portion of explained genetic variance explained: for hot carcass weight, genes LRGUK, TRIM24, SVOPL, TEX37, CA10, OXSR1; for ribeye area, genes TWIST2, SFXN1, CMYA5, CPQ and MRS2; for backfat thickness, genes OR2S2, 5S\_rRNA, LOC100299372, LOC523083, LOC532403, LOC613441, SNORA69 and ITGA9; and for marbling, genes EMCN, LNX1, EIF5, SNORA28 and DSC3. The various genomic regions associated with small effects show the complexity of these phenotypes and that they do not depend only on the effects of a few genes to determine their variations. (AU)

• FAPESP's process: 14/07566-2 - Genomics applied to ruminant production
• Grantee: José Bento Sterman Ferraz
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 13/13021-6 - Wide genomic analysis of Nelore cattle (Bos indicus) for carcass and meat quality traits
• Grantee: Minos Esperândio Carvalho
• Support Opportunities: Scholarships in Brazil - Post-Doctoral