Bayesian genome‐wide association analysis for body weight in farmed Atlantic salmon ( Salmo salar L.)

• Published in: Animal Genetics
• Main Authors: Yoshida, G. M., Lhorente, J. P., Carvalheiro, R., Yáñez, J. M.
• Other Authors: Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2017
• Subjects: Atlantic salmon; Salmo salar
• Online Access: http://dx.doi.org/10.1111/age.12621; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fage.12621; https://onlinelibrary.wiley.com/doi/pdf/10.1111/age.12621

Summary We performed a genome‐wide association study to detect markers associated with growth traits in Atlantic salmon. The analyzed traits included body weight at tagging ( BWT ) and body weight at 25 months ( BW 25M). Genotypes of 4662 animals were imputed from the 50K SNP chip to the 200K SNP chip using fimpute software. The markers were simultaneously modeled using Bayes C to identify genomic regions associated with the traits. We identified windows explaining a maximum of 3.71% and 3.61% of the genetic variance for BWT and BW 25M respectively. We found potential candidate genes located within the top ten 1‐Mb windows for BWT and BW 25M. For instance, the vitronectin ( VTN ) gene, which has been previously reported to be associated with cell growth, was found within one of the top ten 1‐Mb windows for BWT . In addition, the WNT 1‐inducible‐signaling pathway protein 3, melanocortin 2 receptor accessory protein 2, myosin light chain kinase, transforming growth factor beta receptor type 3 and myosin light chain 1 genes, which have been reported to be associated with skeletal growth in humans, growth stimulation during the larval stage in zebrafish, body weight in pigs, feed conversion in chickens and growth rate of sheep skeletal muscle respectively, were found within some of the top ten 1‐Mb windows for BW 25M. These results indicate that growth traits are most likely controlled by many variants with relatively small effects in Atlantic salmon. The genomic regions associated with the traits studied here may provide further insight into the functional regions underlying growth traits in this species.