Jiang Li, Liu Xuan, Yang Jie, Wang Haifei, Jiang Jicai, Liu Lili, He Sang, Ding Xiangdong, Liu Jianfeng, Zhang Qin
National Engineering Laboratory for Animal Breeding; Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
BMC Genomics. 2014 Dec 15;15(1):1105. doi: 10.1186/1471-2164-15-1105.
Genome wide association study (GWAS) has been proven to be a powerful tool for detecting genomic variants associated with complex traits. However, the specific genes and causal variants underlying these traits remain unclear.
Here, we used target-enrichment strategy coupled with next generation sequencing technique to study target regions which were found to be associated with milk production traits in dairy cattle in our previous GWAS. Among the large amount of novel variants detected by targeted resequencing, we selected 200 SNPs for further association study in a population consisting of 2634 cows. Sixty six SNPs distributed in 53 genes were identified to be associated significantly with on milk production traits. Of the 53 genes, 26 were consistent with our previous GWAS results. We further chose 20 significant genes to analyze their mRNA expression in different tissues of lactating cows, of which 15 were specificly highly expressed in mammary gland.
Our study illustrates the potential for identifying causal mutations for milk production traits using target-enrichment resequencing and extends the results of GWAS by discovering new and potentially functional mutations.
全基因组关联研究(GWAS)已被证明是检测与复杂性状相关的基因组变异的有力工具。然而,这些性状背后的具体基因和因果变异仍不清楚。
在此,我们采用靶向富集策略结合新一代测序技术,研究在我们之前的GWAS中发现的与奶牛产奶性状相关的目标区域。在靶向重测序检测到的大量新变异中,我们选择了200个单核苷酸多态性(SNP),在一个由2634头奶牛组成的群体中进行进一步的关联研究。在53个基因中分布的66个SNP被确定与产奶性状显著相关。在这53个基因中,26个与我们之前的GWAS结果一致。我们进一步选择了20个显著基因,分析它们在泌乳奶牛不同组织中的mRNA表达,其中15个在乳腺中特异性高表达。
我们的研究说明了使用靶向富集重测序鉴定产奶性状因果突变的潜力,并通过发现新的和潜在的功能性突变扩展了GWAS的结果。