University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil.
College of Agronomy and Veterinary Medicine, Veterinary School, University of Passo Fundo, Rio Grande do Sul, Brazil.
Sci Rep. 2017 Feb 9;7:41748. doi: 10.1038/srep41748.
Performance traits are economically important and are targets for selection in breeding programs, especially in the poultry industry. To identify regions on the chicken genome associated with performance traits, different genomic approaches have been applied in the last years. The aim of this study was the application of CornellGBS approach (134,528 SNPs generated from a PstI restriction enzyme) on Genome-Wide Association Studies (GWAS) in an outbred F chicken population. We have validated 91.7% of these 134,528 SNPs after imputation of missed genotypes. Out of those, 20 SNPs were associated with feed conversion, one was associated with body weight at 35 days of age (P < 7.86E-07) and 93 were suggestively associated with a variety of performance traits (P < 1.57E-05). The majority of these SNPs (86.2%) overlapped with previously mapped QTL for the same performance traits and some of the SNPs also showed novel potential QTL regions. The results obtained in this study suggests future searches for candidate genes and QTL refinements as well as potential use of the SNPs described here in breeding programs.
性能特征在经济上很重要,是育种计划(尤其是家禽业)中选择的目标。为了确定与性能特征相关的鸡基因组区域,近年来应用了不同的基因组方法。本研究旨在将康奈尔 GBS 方法(从 PstI 限制酶产生的 134528 个 SNP)应用于外交 F 鸡群体的全基因组关联研究(GWAS)。我们通过缺失基因型的内插验证了这些 134528 个 SNP 中的 91.7%。其中,有 20 个 SNP 与饲料转化率相关,1 个 SNP 与 35 日龄体重相关(P < 7.86E-07),93 个 SNP 与多种性能特征呈暗示相关(P < 1.57E-05)。这些 SNP 中的大多数(86.2%)与相同性能特征的先前映射 QTL 重叠,一些 SNP 也显示出潜在的新 QTL 区域。本研究的结果表明,未来可以进一步寻找候选基因和 QTL 细化,以及在育种计划中使用本文所述的 SNP。