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利用阵列比较基因组杂交技术改进不同猪种拷贝数变异的检测与特征分析

Improved Detection and Characterization of Copy Number Variations Among Diverse Pig Breeds by Array CGH.

作者信息

Wang Jiying, Jiang Jicai, Wang Haifei, Kang Huimin, Zhang Qin, Liu Jian-Feng

机构信息

Key Laboratory of Animal Genetics, Breeding, and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China 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.

Key Laboratory of Animal Genetics, Breeding, and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.

出版信息

G3 (Bethesda). 2015 Apr 22;5(6):1253-61. doi: 10.1534/g3.115.018473.

Abstract

As a major component of genomic variation, copy number variations (CNVs) are considered as promising markers for some phenotypic and economically important traits in domestic animals. Using a custom-designed 1M array CGH (aCGH), we performed CNV discovery in 12 pig samples from one Asian wild boar population, six Chinese indigenous breeds, and two European commercial breeds. In total, we identified 758 CNV regions (CNVRs), covering 47.43 Mb of the pig genome sequence. Of the total porcine genes, 1295 genes were completely or partially overlapped with the identified CNVRs, which enriched in the terms related to sensory perception of the environment, neurodevelopmental processes, response to external stimuli, and immunity. Further probing the potential functions of these genes, we also found a suite of genes related important traits, which make them a promising resource for exploring the genetic basis of phenotype differences among diverse pig breeds. Compared with previous relevant studies, the current study highlights that different platforms can complement each other, and the combined implementation of different platforms is beneficial to achieve the most comprehensive CNV calls. CNVs detected in diverse populations herein are essentially complementary to the CNV map in the pig genome, which would be helpful for understanding the pig genome variants and investigating the associations between various phenotypes and CNVs.

摘要

作为基因组变异的主要组成部分,拷贝数变异(CNV)被认为是家畜某些表型和经济重要性状的有前景的标记。我们使用定制设计的1M阵列比较基因组杂交(aCGH)技术,在来自一个亚洲野猪种群、六个中国本土猪种和两个欧洲商业猪种的12个猪样本中进行了CNV检测。我们总共鉴定出758个拷贝数变异区域(CNVR),覆盖了47.43 Mb的猪基因组序列。在所有猪基因中,有1295个基因与鉴定出的CNVR完全或部分重叠,这些基因在与环境的感官感知、神经发育过程、对外部刺激的反应和免疫相关的术语中富集。进一步探究这些基因的潜在功能,我们还发现了一组与重要性状相关的基因,这使得它们成为探索不同猪种间表型差异遗传基础的有前景的资源。与之前的相关研究相比,本研究强调不同平台可以相互补充,不同平台的联合应用有利于实现最全面的CNV检测。本文在不同群体中检测到的CNV与猪基因组中的CNV图谱基本互补,这将有助于理解猪基因组变异,并研究各种表型与CNV之间的关联。

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