机构地区: 四川农业大学动物科技学院
出 处: 《畜牧兽医学报》 2013年第12期1891-1899,共9页
摘 要: 本研究基于苏尼特羊(n=66)、德国肉用美利奴羊(n=159)和杜泊羊(n=93)3个群体的Illumina Ovine SNP50芯片分型数据,借助群体分化指数FST法进行群体间选择信号的检测分析,应用生物信息学方法分析寻找选择信号区域内的重要基因。结果,共找到343个"离群"位点,通过基因注释找到这些位点对应的365个候选基因。其中部分基因与绵羊生长、繁殖及肉质性状相关,如IGF2PB3、IGF1R、BMP2、BMPR1B、CAPN3等,本研究结果也进一步验证了前期利用CNV和GWAS研究检测到的基因结果。通过GO分析发现,这些基因主要富集在新陈代谢和去甲基化等条目。通过群体分化指数FST能有效地检测到具有选择信号的基因,其中包括绵羊部分重要经济性状的候选基因,研究结果能为绵羊的育种提供参考。 Abstract. Based on the Illumina Ovine SNP50 Breadchip genotyping data of Sunite sheep (n= 66), German Mutton sheep (n= 159) and Dorper sheep(n=93), population differentiation index Fsr was adopted to detect the selection signatures, and the genes located in selection signature re- gions were found by bioinformatics analyses. 343 OUTLIER SNP loci were found, harboring 365 candidate genes. Some of them were related to reproduction, meat quality and growth-related traits, such as IGF2PB3, IGFIR, BMP2, BMPRIB and CAPN3, which validated the results of our previous CNV and GWAS analyses. The result of GO analysis showed that these candidate genes enriched in the GO terms related to metabolic process and demethylation. Population differ- entiation index Fsr can be used for detecting the genes with selection signatures. These genes identified can be used as candidate genes affecting the economically important traits in sheep.This study can provide theoretical references for sheep breeding.