Association of predicted deleterious single nucleotide polymorphisms with carcass traits in meat-type chickens

• Ano de defesa: 2018
• Autor(a) principal: Trevisoli, Priscila Anchieta
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
• Palavras-chave em Português: Target sequencing; Association study; Broilers; Estudo de associação; Frangos; Missense SNPs; SNPs não sinônimos
• Link de acesso: http://www.teses.usp.br/teses/disponiveis/11/11139/tde-21082018-152925/

Breeding has been the mainly responsible for the increase of poultry efficiency in the last decades. The breeding programs are geared towards higher meat yield and feed efficiency. Among the used genomic approaches, genome wide association studies (GWAS) identified quantitative trait loci (QTLs) associated with carcass traits in a meat-type population (TT Reference Population). GWAS analysis identifies variants in linkage disequilibrium with the possible causal mutation and with the aim of refining these results, association study with missense single nucleotide polymorphisms can be useful. A missense SNP can be predicted as deleterious via Sorting Intolerant From Tolerant (SIFT) score when the amino acid change has the potential to impact the protein function and consequently may affects the phenotype. Therefore, in this study, predicted deleterious SNPs within QTLs regions were identified and associated with thigh, drumstick, abdominal fat and breast weight and their yields. Mixed model was used with sex, incubation and SNPs genotypes as fixed effects and family as random effect. From the 20 SNPs analyzed, six were significantly associated (p <0.05) with weight and yield of thigh, breast and drumstick. Three of them s736010549, rs739508259 and rs313532967 are located in the genes WDR77, VWA8 and BARL, respectively. These genes are involved in biological process as steroid hormone signaling pathway, estrogen binding, and regulation of cell proliferation. We determined these genes as candidates for muscle growth. Our strategy allowed the identification of potential causal mutations associated with muscle growth and development.