Genome-wide CNV Mapping in Felis catus Using NGS Data

F. Genova, M. Longeri, Cristina M Cozzi, A. Bagnato, M. Strillacci
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Abstract

Copy Number Variations (CNVs) have become promising markers, representing a major source of genomic variation. CNV involvement in phenotypic expression and in different diseases onset have been widely demonstrated in humans as well as in many domestic animals. However, this genomic investigation is still missing in Felis catus. This work is the first CNV mapping from a large data set of Whole Genome Sequencing (WGS) data in the domestic cat. A total of 42 cats of 14 different breeds were sequenced on the Illumina XTen (Washington University-St. Louis) which generated approximately 30-fold genome coverage from 150 paired-end reads (99 Lives Initiative). Maverix Biomics mapped the reads on the v6.2 reference assembly. CNV detection was performed using cn.mops and CNVnator, two Read Depth method software. One cat was excluded as outlier while, on the 41 remaining individuals, 1640 CNVs were detected by both the software and used to obtain 2891 CNVRs with BedTools. CNVRs covered the 0.4% of the total cat genome, with 136 loss, 127 gain and 26 complex detected (Fig. 1). A total of 164 singletons were identified and 9 CNVRs mapped in at least the 50% of the individuals. The number of CNVs in each cat ranged from 12 to 83. The clustering analysis of the detected CNVs was performed with R package “pvclust” and shows that same breed individuals cluster together. This study has led to the genetic characterization of 14 main cat breeds. Further analyses including other breeds and considering the genes located within these regions, could led to better evaluate the relationship between the presence of a specific CNV and a specific breed trait. This study can be considered a starting point for genomic CNV identification in the domestic cat, which could be further developed using the new released Felis catus vs9.0 reference aassembly.
利用NGS数据进行猫属全基因组CNV定位
拷贝数变异(拷贝数变异)作为基因组变异的主要来源,已成为一种很有前景的标记。CNV参与表型表达和不同疾病的发病已在人类和许多家畜中得到广泛证实。然而,这种基因组调查在猫科动物中仍然缺失。这项工作是第一个来自家猫全基因组测序(WGS)数据的大型数据集的CNV图谱。在Illumina XTen(华盛顿大学- st .)上对14个不同品种的42只猫进行了测序。Louis)从150对末端读取产生了大约30倍的基因组覆盖率(99 Lives Initiative)。Maverix Biomics将读取映射到v6.2参考程序集上。CNV检测使用cn。拖把和CNVnator,两个读深法软件。一只猫被排除为异常值,而在剩余的41只猫中,两种软件检测到1640个cnvr,并使用BedTools获得2891个cnvr。cnvr覆盖了猫总基因组的0.4%,其中检测到136个缺失,127个获得和26个复合体(图1)。总共鉴定出164个单子,并在至少50%的个体中绘制了9个cnvr。每只猫的CNVs数量从12到83不等。利用R软件包“pvclust”对检测到的CNVs进行聚类分析,发现同一品种的个体聚类在一起。这项研究得出了14个主要猫品种的遗传特征。进一步的分析包括其他品种并考虑这些区域内的基因,可以更好地评估特定CNV的存在与特定品种性状之间的关系。本研究可视为家猫基因组CNV鉴定的一个起点,可使用新发布的Felis catus vs9.0参考汇编进一步发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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