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

Published online by Cambridge University Press:  13 November 2018

Camila da Costa Barros ,
Daniel Jordan de Abreu Santos ,
Rusbel Raul Aspilcueta-Borquis ,
Gregório Miguel Ferreira de Camargo ,
Francisco Ribeiro de Araújo Neto  and
Humberto Tonhati
Camila da Costa Barros*
Affiliation:
São Paulo State University (FCAV/UNESP), Jaboticabal, São Paulo, Brazil
Daniel Jordan de Abreu Santos
Affiliation:
São Paulo State University (FCAV/UNESP), Jaboticabal, São Paulo, Brazil
Rusbel Raul Aspilcueta-Borquis
Affiliation:
Universidade Federal da Grande Dourados, Dourados, Mato Grosso do Sul, Brazil
Gregório Miguel Ferreira de Camargo
Affiliation:
Universidade Federal da Bahia, Salvador, Bahia, Brazil
Francisco Ribeiro de Araújo Neto
Affiliation:
Instituto Federal Goiano, Rio Verde, Goias, Brazil
Humberto Tonhati
Affiliation:
São Paulo State University (FCAV/UNESP), Jaboticabal, São Paulo, Brazil
*
*For correspondence; e-mail: mila_costabarros@hotmail.com
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Abstract

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.

Keywords

BuffaloesGWASsingle-stepSNP
Type
Research Article
Information
Journal of Dairy Research , Volume 85 , Issue 4 , November 2018 , pp. 402 - 406
Copyright
Copyright © Hannah Dairy Research Foundation 2018 

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