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短讯:赫里福德牛参考基因组组装 ARS-UCD1.2 中的假常染色体区域的鉴定。

Short communication: Identification of the pseudoautosomal region in the Hereford bovine reference genome assembly ARS-UCD1.2.

机构信息

Research and Development, Livestock Improvement Corporation, Hamilton 3240, New Zealand.

Animal Genomics and Improvement Laboratory, Agricultural Research Service USDA, Beltsville, MD 20705.

出版信息

J Dairy Sci. 2019 Apr;102(4):3254-3258. doi: 10.3168/jds.2018-15638. Epub 2019 Feb 1.

Abstract

In cattle, the X chromosome accounts for approximately 3 and 6% of the genome in bulls and cows, respectively. In spite of the large size of this chromosome, very few studies report analysis of the X chromosome in genome-wide association studies and genomic selection. This lack of genetic interrogation is likely due to the complexities of undertaking these studies given the hemizygous state of some, but not all, of the X chromosome in males. The first step in facilitating analysis of this gene-rich chromosome is to accurately identify coordinates for the pseudoautosomal boundary (PAB) to split the chromosome into a region that may be treated as autosomal sequence (pseudoautosomal region) and a region that requires more complex statistical models. With the recent release of ARS-UCD1.2, a more complete and accurate assembly of the cattle genome than was previously available, it is timely to fine map the PAB for the first time. Here we report the use of SNP chip genotypes, short-read sequences, and long-read sequences to fine map the PAB (X chromosome:133,300,518) and simultaneously determine the neighboring regions of reduced homology and true pseudoautosomal region. These results greatly facilitate the inclusion of the X chromosome in genome-wide association studies, genomic selection, and other genetic analysis undertaken on this reference genome.

摘要

在牛中,X 染色体分别占公牛和母牛基因组的约 3%和 6%。尽管这条染色体很大,但很少有研究报告在全基因组关联研究和基因组选择中分析 X 染色体。这种缺乏遗传分析的情况可能是由于某些但不是所有雄性 X 染色体处于半合子状态,使得进行这些研究的复杂性增加。促进对这条富含基因的染色体进行分析的第一步是准确识别假常染色体边界 (PAB) 的坐标,将染色体分为可以被视为常染色体序列(假常染色体区域)和需要更复杂统计模型的区域。随着最近发布的 ARS-UCD1.2,牛基因组的组装比以前更加完整和准确,现在是首次精细映射 PAB 的及时时机。在这里,我们报告了使用 SNP 芯片基因型、短读序列和长读序列来精细映射 PAB(X 染色体:133,300,518),并同时确定同源性降低和真正假常染色体区域的邻近区域。这些结果极大地促进了将 X 染色体纳入全基因组关联研究、基因组选择和其他基于该参考基因组进行的遗传分析中。

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