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基于高密度SNP标记的中国荷斯坦牛基因组近交系数估计

Estimation of genomic inbreeding coefficients based on high-density SNP markers in Chinese Holstein cattle.

作者信息

Yang Zhan-cheng, Huang He-tian, Yan Qing-xia, Wang Ya-chun, Yu Ying, Chen Shao-hu, Sun Dong-xiao, Zhang Sheng-li, Zhang Yi

机构信息

College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.

Dairy Data Center of China , Beijing 100192, China.

出版信息

Yi Chuan. 2017 Jan 20;39(1):41-47. doi: 10.16288/j.yczz.16-283.

Abstract

In livestock, inbreeding coefficient based on pedigree information is usually used to evaluate the level of inbreeding. Recently, with cost reduction of high-density SNP genotyping, it's possible to analyze real genomic inbreeding degree using genomic information. In this study, utilizing high-density SNP chip data, we analyzed the frequency and distribution of runs of homozygosity (ROH) in 2107 Chinese Holstein cattle in Beijing area, and calculated 2 genomic inbreeding coefficients, i.e., 1) the proportion of ROH length in the total length of autosomal genome (Froh), and 2) the percentage of homozygous SNPs (Fhom). Then we analyzed the correlation between 2 genomic inbreeding coefficients and the correlation between genomic and pedigree inbreeding coefficients. We totally detected 44 676 ROHs that mainly ranged from 1 to 10 Mb. Various lengths of ROHs existed in the genome. There were more short ROHs than long ROHs. ROHs aren't evenly distributed in chromosomes. The area with most ROHs is in the middle part of chromosome 10. Strong correlation (r > 0.90) existed between 2 kinds of genomic inbreeding coefficients, but the correlation between pedigree and genomic inbreeding coefficients were much lower (r < 0.50). Our finding suggests that pedigree completeness influences the correlation between genomic and pedigree inbreeding. Genomic inbreeding measures may reflect individuals' real inbreeding, which could be a useful tool to evaluate population inbreeding.

摘要

在畜牧生产中,通常利用基于系谱信息的近交系数来评估近交水平。近年来,随着高密度SNP基因分型成本的降低,利用基因组信息分析实际的基因组近交程度成为可能。在本研究中,我们利用高密度SNP芯片数据,分析了北京地区2107头中国荷斯坦奶牛的纯合子片段(ROH)的频率和分布,并计算了两种基因组近交系数,即1)ROH长度占常染色体基因组总长度的比例(Froh),以及2)纯合SNP的百分比(Fhom)。然后我们分析了两种基因组近交系数之间的相关性以及基因组近交系数与系谱近交系数之间的相关性。我们共检测到44676个ROH,其长度主要在1至10 Mb之间。基因组中存在各种长度的ROH,短ROH比长ROH更多。ROH在染色体上的分布并不均匀。ROH数量最多的区域位于10号染色体的中部。两种基因组近交系数之间存在强相关性(r > 0.90),但系谱近交系数与基因组近交系数之间的相关性则低得多(r < 0.50)。我们的研究结果表明,系谱完整性会影响基因组近交系数与系谱近交系数之间的相关性。基因组近交度量可能反映个体的实际近交情况,这可能是评估群体近交的一个有用工具。

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