Laboratory of Genomic Diversity, Department of Life Science, Sogang University, Shinsu-dong, Mapo-gu, Seoul, Republic of Korea.
BMC Genomics. 2010 Apr 9;11:232. doi: 10.1186/1471-2164-11-232.
Recently, the discovery of copy number variation (CNV) led researchers to think that there are more variations of genomic DNA than initially believed. Moreover, a certain CNV region has been found to be associated with the onset of diseases. Therefore, CNV is now known as an important genomic variation in biological mechanisms. However, most CNV studies have only involved the human genome. The study of CNV involving other animals, including cattle, is severely lacking.
In our study of cattle, we used Illumina BovineSNP50 BeadChip (54,001 markers) to obtain each marker's signal intensity (Log R ratio) and allelic intensity (B allele frequency), which led to our discovery of 855 bovine CNVs from 265 cows. For these animals, the average number of CNVs was 3.2, average size was 149.8 kb, and median size was 171.5 kb. Taking into consideration some overlapping regions among the identified bovine CNVs, 368 unique CNV regions were detected. Among them, there were 76 common CNVRs with > 1% CNV frequency. Together, these CNVRs contained 538 genes. Heritability errors of 156 bovine pedigrees and comparative pairwise analyses were analyzed to detect 448 common deletion polymorphisms. Identified variations in this study were successfully validated using visual examination of the genoplot image, Mendelian inconsistency, another CNV identification program, and quantitative PCR.
In this study, we describe a map of bovine CNVs and provide important resources for future bovine genome research. This result will contribute to animal breeding and protection from diseases with the aid of genomic information.
最近,拷贝数变异(CNV)的发现促使研究人员认为,基因组 DNA 的变异比最初认为的要多。此外,已经发现某些 CNV 区域与疾病的发生有关。因此,CNV 现在被认为是生物机制中重要的基因组变异。然而,大多数 CNV 研究仅涉及人类基因组。涉及包括牛在内的其他动物的 CNV 研究严重缺乏。
在我们对牛的研究中,我们使用了 Illumina BovineSNP50 BeadChip(54001 个标记)来获得每个标记的信号强度(Log R 比值)和等位基因强度(B 等位基因频率),从而从 265 头奶牛中发现了 855 个牛 CNV。对于这些动物,CNV 的平均数量为 3.2,平均大小为 149.8 kb,中位数大小为 171.5 kb。考虑到鉴定的牛 CNV 之间的一些重叠区域,检测到 368 个独特的 CNV 区域。其中,有 76 个常见的 CNVR 具有 > 1%的 CNV 频率。这些 CNVR 总共包含 538 个基因。分析了 156 个牛系谱的遗传误差和比较对分析,以检测 448 个常见的缺失多态性。本研究中鉴定的变异使用基因组图图像的目视检查、孟德尔不一致性、另一个 CNV 鉴定程序和定量 PCR 成功验证。
在这项研究中,我们描述了牛 CNV 的图谱,并为未来的牛基因组研究提供了重要资源。这一结果将有助于利用基因组信息进行动物育种和疾病防治。