将性别偏见纳入X染色体古老渐渗研究。

IF 4.5 2区 生物学 Q1 Agricultural and Biological Sciences PLoS Genetics Pub Date : 2023-08-14 eCollection Date: 2023-08-01 DOI:10.1371/journal.pgen.1010399
Elizabeth T Chevy, Emilia Huerta-Sánchez, Sohini Ramachandran
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引用次数: 1

摘要

古代人与人类杂交的证据来自于利用当今人类的基因组推断古代单倍型片段位置或“古代覆盖率”的方法。随着对古老覆盖率的更多估计出现,很明显,这种覆盖率大多在常染色体上发现,很少保留在X染色体上。在这里,我们总结了已发表的对现存人类样本中常染色体和X染色体的古老覆盖率估计。我们发现常染色体的古老覆盖率平均是X染色体的7倍,并以这个比例确定了广泛的大陆模式:在欧洲样本中最大,在南亚样本中最小。我们还进行了广泛的模拟研究,以调查陈旧覆盖的数量、覆盖的长度和陈旧覆盖的清除率如何受到由陈旧渗入者内不平等的性别比例引起的性别偏见的影响。我们的研究结果总体上证实,随着男性性别偏见的增加,X染色体上保留的古老覆盖率降低。我们的研究是第一项明确模拟这种性别偏见及其在造成X染色体上缺乏古老覆盖率中的潜在作用的研究。
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Integrating sex-bias into studies of archaic introgression on chromosome X.

Evidence of interbreeding between archaic hominins and humans comes from methods that infer the locations of segments of archaic haplotypes, or 'archaic coverage' using the genomes of people living today. As more estimates of archaic coverage have emerged, it has become clear that most of this coverage is found on the autosomes- very little is retained on chromosome X. Here, we summarize published estimates of archaic coverage on autosomes and chromosome X from extant human samples. We find on average 7 times more archaic coverage on autosomes than chromosome X, and identify broad continental patterns in this ratio: greatest in European samples, and least in South Asian samples. We also perform extensive simulation studies to investigate how the amount of archaic coverage, lengths of coverage, and rates of purging of archaic coverage are affected by sex-bias caused by an unequal sex ratio within the archaic introgressors. Our results generally confirm that, with increasing male sex-bias, less archaic coverage is retained on chromosome X. Ours is the first study to explicitly model such sex-bias and its potential role in creating the dearth of archaic coverage on chromosome X.

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来源期刊
PLoS Genetics
PLoS Genetics 生物-遗传学
CiteScore
8.10
自引率
2.20%
发文量
438
审稿时长
1 months
期刊介绍: PLOS Genetics is run by an international Editorial Board, headed by the Editors-in-Chief, Greg Barsh (HudsonAlpha Institute of Biotechnology, and Stanford University School of Medicine) and Greg Copenhaver (The University of North Carolina at Chapel Hill). Articles published in PLOS Genetics are archived in PubMed Central and cited in PubMed.
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