Use of single-step genome-wide association studies for prospecting genomic regions related to milk production and milk quality of buffalo

• Autor(a) principal: Da Costa Barros, Camila [UNESP]
• Data de Publicação: 2018
• Outros Autores: De Abreu Santos, Daniel Jordan [UNESP], Aspilcueta-Borquis, Rusbel Raul, De Camargo, Gregório Miguel Ferreira, De Araújo Neto, Francisco Ribeiro, Tonhati, Humberto [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1017/S0022029918000766; http://hdl.handle.net/11449/189879
• topic: Buffaloes; GWAS; single-step; SNP

The aim of this research communication was to identify chromosome regions and genes that could be related to milk yield (MY), milk fat (%F) and protein percentage (%P) in Brazilian buffalo cows using information from genotyped and non-genotyped animals. We used the 90 K Axiom ® Buffalo Genotyping array. A repeatability model was used. An iterative process was performed to calculate the weights of markers as a function of the squared effects of Single Nucleotide Polymorphism (SNP) and allele frequencies. The 10 SNPs with the largest effects for MY, %F and %P were studied and they explained 7·48, 9·94 and 6·56% of the genetic variance, respectively. These regions harbor genes with biological functions that could be related to the traits analyzed. The identification of such regions and genes will contribute to a better understanding of their influence on milk production and milk quality traits of buffaloes.