Genome-wide detection of copy number variations using high-density SNP genotyping platforms in Holsteins
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- 作者：Li Jiang (1)
Jicai Jiang (1)
Jie Yang (1)
Xuan Liu (1)
Jiying Wang (2)
Haifei Wang (1)
Xiangdong Ding (1)
Jianfeng Liu (1)
Qin Zhang (1) - 关键词：Copy number variations ; Cattle ; BovineHD beadChip ; Genome variation ; Quantitative real time PCR
- 刊名：BMC Genomics
- 出版年：2013
- 出版时间：December 2013
- 年：2013
- 卷：14
- 期：1
- 全文大小：503KB
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Jicai Jiang (1)
Jie Yang (1)
Xuan Liu (1)
Jiying Wang (2)
Haifei Wang (1)
Xiangdong Ding (1)
Jianfeng Liu (1)
Qin Zhang (1)
1. Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, P. R. China
2. Shandong Provincial Key Laboratory of Animal Disease Control and Breeding, Institute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
文摘
Background Copy number variations (CNVs) are widespread in the human or animal genome and are a significant source of genetic variation, which has been demonstrated to play an important role in phenotypic diversity. Advances in technology have allowed for identification of a large number of CNVs in cattle. Comprehensive explore novel CNVs in the bovine genome would provide valuable information for functional analyses of genome structural variation and facilitating follow-up association studies between complex traits and genetic variants. Results In this study, we performed a genome-wide CNV detection based on high-density SNP genotyping data of 96 Chinese Holstein cattle. A total of 367 CNV regions (CNVRs) across the genome were identified, which cover 42.74Mb of the cattle genome and correspond to 1.61% of the genome sequence. The length of the CNVRs on autosomes range from 10.76 to 2,806.42 Kb with an average of 96.23 Kb. 218 out of these CNVRs contain 610 annotated genes, which possess a wide spectrum of molecular functions. To confirm these findings, quantitative PCR (qPCR) was performed for 17 CNVRs and 13(76.5%) of them were successfully validated. Conclusions Our study demonstrates the high density SNP array can significantly improve the accuracy and sensitivity of CNV calling. Integration of different platforms can enhance the detection of genomic structure variants. Our results provide a significant replenishment for the high resolution map of copy number variation in the bovine genome and valuable information for investigation of genomic structural variation underlying traits of interest in cattle.