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濒危哺乳动物有害突变的遗传连锁不平衡

Genetic linkage disequilibrium of deleterious mutations in threatened mammals.

作者信息

Hu Chunyan, Liu Gaoming, Zhang Zhan, Pan Qi, Zhang Xiaoxiao, Liu Weiqiang, Li Zihao, Li Meng, Zhu Pingfen, Ji Ting, Garber Paul A, Zhou Xuming

机构信息

Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 100101, Beijing, China.

University of Chinese Academy of Sciences, 100049, Beijing, China.

出版信息

EMBO Rep. 2024 Dec;25(12):5620-5634. doi: 10.1038/s44319-024-00307-2. Epub 2024 Nov 1.

Abstract

The impact of negative selection against deleterious mutations in endangered species remains underexplored. Recent studies have measured mutation load by comparing the accumulation of deleterious mutations, however, this method is most effective when comparing within and between populations of phylogenetically closely related species. Here, we introduced new statistics, LDcor, and its standardized form nLDcor, which allows us to detect and compare global linkage disequilibrium of deleterious mutations across species using unphased genotypes. These statistics measure averaged pairwise standardized covariance and standardize mutation differences based on the standard deviation of alleles to reflect selection intensity. We then examined selection strength in the genomes of seven mammals. Tigers exhibited an over-dispersion of deleterious mutations, while gorillas, giant pandas, and golden snub-nosed monkeys displayed negative linkage disequilibrium. Furthermore, the distribution of deleterious mutations in threatened mammals did not reveal consistent trends. Our results indicate that these newly developed statistics could help us understand the genetic burden of threatened species.

摘要

对濒危物种中有害突变的负向选择的影响仍未得到充分研究。最近的研究通过比较有害突变的积累来衡量突变负荷,然而,这种方法在比较系统发育关系密切的物种的种群内部和种群之间时最为有效。在这里,我们引入了新的统计量LDcor及其标准化形式nLDcor,这使我们能够使用未分型的基因型检测和比较跨物种有害突变的全局连锁不平衡。这些统计量测量平均成对标准化协方差,并根据等位基因的标准差对突变差异进行标准化,以反映选择强度。然后,我们研究了七种哺乳动物基因组中的选择强度。老虎表现出有害突变的过度分散,而大猩猩、大熊猫和金丝猴则表现出负连锁不平衡。此外,受威胁哺乳动物中有害突变的分布并未显示出一致的趋势。我们的结果表明,这些新开发的统计量可以帮助我们了解受威胁物种的遗传负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c059/11624202/e1717ace45f4/44319_2024_307_Fig1_HTML.jpg

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