Genome-wide association study applied to type traits related to milk yield in water buffaloes (Bubalus bubalis)

• Autor(a) principal: Gonzalez Guzman, Jessica Lorena [UNESP]
• Data de Publicação: 2020
• Outros Autores: Lazaro, Sirlene Fernandes [UNESP], Nascimento, Andre Vieira do [UNESP], Santos, Daniel Jordan de Abreu, Cardoso, Diercles Francisco [UNESP], Becker Scalez, Daiane Cristina [UNESP], Albuquerque, Lucia Galvao de [UNESP], Hurtado Lugo, Naudin Alejandro [UNESP], Tonhati, Humberto [UNESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.3168/jds.2019-16499; http://hdl.handle.net/11449/196497
• topic: conformation trait; SNP marker; protein; explained variance

This research aimed to estimate genetic parameters for milk yield and type traits [withers height (WH), croup height (CH), body length (BL), croup length (CL), iliac width (ILW), ischial width (ISW), and thoracic circumference] in Murrah buffaloes and to identify genomic regions related to type traits by applying a single-step genome-wide association study. Data used to estimate the genetic parameters consisted of 601 records of milk yield in the first lactation and the aforementioned type traits. For the single-step genome-wide association study, 322 samples genotyped with a 90K Axiom Buffalo Genotyping array (Thermo Fisher Scientific, Santa Clara, CA) were used. Bivariate analysis revealed that heritability for milk yield (kg) at 305 d was 0.31 +/- 0.11, whereas it ranged from 0.22 +/- 0.07 to 0.34 +/- 0.09 for the studied conformation traits. Based on the percentages of genetic variance explained by windows of 10 markers, there were 16 genomic regions explaining more than 0.5% of the variance for WH, CH, BL, CL, ILW, ISW, and thoracic circumference. Between those regions, 4 were associated with more than 1 trait, suggesting pleiotropic roles for some genes of Bos taut-us autosome (BTA) 12 on CL and WH, BTA13 on ISW and ILW, BTA23 on CH and BL, and BTA28 on ISW and BL. Most of these regions coincide with known quantitative trait loci for milk traits. Thus, further studies based on sequence data will help to validate the association of this region with type traits and likely identify the causal mutations.