Zhang Liangzhi, Jia Shangang, Yang Mingjuan, Xu Yao, Li Congjun, Sun Jiajie, Huang Yongzhen, Lan Xianyong, Lei Chuzhao, Zhou Yang, Zhang Chunlei, Zhao Xin, Chen Hong
College of Animal Science and Technology, Northwest A & F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, China.
BMC Genomics. 2014 Jun 17;15(1):480. doi: 10.1186/1471-2164-15-480.
Copy number variations (CNVs) are a main source of genomic structural variations underlying animal evolution and production traits. Here, with one pure-blooded Angus bull as reference, we describe a genome-wide analysis of CNVs based on comparative genomic hybridization arrays in 29 Chinese domesticated bulls and examined their effects on gene expression and cattle growth traits.
We identified 486 copy number variable regions (CNVRs), covering 2.45% of the bovine genome, in 24 taurine (Bos taurus), together with 161 ones in 2 yaks (Bos grunniens) and 163 ones in 3 buffaloes (Bubalus bubalis). Totally, we discovered 605 integrated CNVRs, with more "loss" events than both "gain" and "both" ones, and clearly clustered them into three cattle groups. Interestingly, we confirmed their uneven distributions across chromosomes, and the differences of mitochondrion DNA copy number (gain: taurine, loss: yak & buffalo). Furthermore, we confirmed approximately 41.8% (253/605) and 70.6% (427/605) CNVRs span cattle genes and quantitative trait loci (QTLs), respectively. Finally, we confirmed 6 CNVRs in 9 chosen ones by using quantitative PCR, and further demonstrated that CNVR22 had significantly negative effects on expression of PLA2G2D gene, and both CNVR22 and CNVR310 were associated with body measurements in Chinese cattle, suggesting their key effects on gene expression and cattle traits.
The results advanced our understanding of CNV as an important genomic structural variation in taurine, yak and buffalo. This study provides a highly valuable resource for Chinese cattle's evolution and breeding researches.
拷贝数变异(CNV)是动物进化和生产性状潜在的基因组结构变异的主要来源。在此,以一头纯种安格斯公牛为参考,我们基于比较基因组杂交阵列对29头中国家养公牛进行了全基因组CNV分析,并研究了它们对基因表达和牛生长性状的影响。
我们在24头普通牛(Bos taurus)中鉴定出486个拷贝数可变区域(CNVR),覆盖牛基因组的2.45%,同时在2头牦牛(Bos grunniens)中鉴定出161个,在3头水牛(Bubalus bubalis)中鉴定出163个。我们总共发现了605个整合的CNVR,“缺失”事件多于“增加”和“增减兼有”事件,并将它们明确地聚类为三个牛群。有趣的是,我们证实了它们在染色体上的分布不均匀,以及线粒体DNA拷贝数的差异(增加:普通牛,减少:牦牛和水牛)。此外,我们证实分别约41.8%(253/605)和70.6%(427/605)的CNVR跨越牛基因和数量性状位点(QTL)。最后,我们通过定量PCR在9个选定的CNVR中证实了6个,进一步证明CNVR22对PLA2G2D基因的表达有显著负面影响,并且CNVR22和CNVR310都与中国牛的体尺相关,表明它们对基因表达和牛的性状有关键影响。
这些结果加深了我们对CNV作为普通牛、牦牛和水牛重要基因组结构变异的理解。本研究为中国牛的进化和育种研究提供了极有价值的资源。