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本文引用的文献

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Life History Effects on Neutral Diversity Levels of Autosomes and Sex Chromosomes.生活史效应对常染色体和性染色体中性多样性水平的影响。
Genetics. 2020 Aug;215(4):1133-1142. doi: 10.1534/genetics.120.303119. Epub 2020 Jun 18.
2
Paternal age in rhesus macaques is positively associated with germline mutation accumulation but not with measures of offspring sociability.在食蟹猕猴中,父系年龄与种系突变积累呈正相关,但与后代社交能力的测量值无关。
Genome Res. 2020 Jun;30(6):826-834. doi: 10.1101/gr.255174.119. Epub 2020 May 27.
3
Similarities and differences in patterns of germline mutation between mice and humans.鼠与人种系突变模式的异同。
Nat Commun. 2019 Sep 6;10(1):4053. doi: 10.1038/s41467-019-12023-w.
4
Signatures of replication timing, recombination, and sex in the spectrum of rare variants on the human X chromosome and autosomes.人类 X 染色体和常染色体稀有变异频谱中的复制时间、重组和性别的特征。
Proc Natl Acad Sci U S A. 2019 Sep 3;116(36):17916-17924. doi: 10.1073/pnas.1900714116. Epub 2019 Aug 19.
5
Overlooked roles of DNA damage and maternal age in generating human germline mutations.忽视了 DNA 损伤和母亲年龄在产生人类生殖系突变中的作用。
Proc Natl Acad Sci U S A. 2019 May 7;116(19):9491-9500. doi: 10.1073/pnas.1901259116. Epub 2019 Apr 24.
6
Direct estimation of mutations in great apes reconciles phylogenetic dating.直接估计大型猿类的突变可协调系统发育定年。
Nat Ecol Evol. 2019 Feb;3(2):286-292. doi: 10.1038/s41559-018-0778-x. Epub 2019 Jan 21.
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Reproductive Longevity Predicts Mutation Rates in Primates.生殖寿命可预测灵长类动物的突变率。
Curr Biol. 2018 Oct 8;28(19):3193-3197.e5. doi: 10.1016/j.cub.2018.08.050. Epub 2018 Sep 27.
8
Direct estimation of de novo mutation rates in a chimpanzee parent-offspring trio by ultra-deep whole genome sequencing.通过超深度全基因组测序,直接估计黑猩猩亲代-子代三人间的从头突变率。
Sci Rep. 2017 Nov 1;7(1):13561. doi: 10.1038/s41598-017-13919-7.
9
Parental influence on human germline de novo mutations in 1,548 trios from Iceland.冰岛 1548 个三亲子组中胚系新生突变的亲代影响。
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The Strength of Selection against Neanderthal Introgression.针对尼安德特人基因渗入的选择强度。
PLoS Genet. 2016 Nov 8;12(11):e1006340. doi: 10.1371/journal.pgen.1006340. eCollection 2016 Nov.

生活史和种群大小的变化可以解释现存人类群体中 X 染色体和常染色体上相对中性多样性水平的差异。

Changes in life history and population size can explain the relative neutral diversity levels on X and autosomes in extant human populations.

机构信息

Department of Biological Sciences, Columbia University, New York, NY 10027;

Department of Biological Sciences, Columbia University, New York, NY 10027.

出版信息

Proc Natl Acad Sci U S A. 2020 Aug 18;117(33):20063-20069. doi: 10.1073/pnas.1915664117. Epub 2020 Aug 3.

DOI:10.1073/pnas.1915664117
PMID:32747577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7443924/
Abstract

In human populations, the relative levels of neutral diversity on the X and autosomes differ markedly from each other and from the naïve theoretical expectation of 3/4. Here we propose an explanation for these differences based on new theory about the effects of sex-specific life history and given pedigree-based estimates of the dependence of human mutation rates on sex and age. We demonstrate that life history effects, particularly longer generation times in males than in females, are expected to have had multiple effects on human X-to-autosome (X:A) diversity ratios, as a result of male-biased mutation rates, the equilibrium X:A ratio of effective population sizes, and the differential responses to changes in population size. We also show that the standard approach of using divergence between species to correct for male mutation bias results in biased estimates of X:A effective population size ratios. We obtain alternative estimates using pedigree-based estimates of the male mutation bias, which reveal that X:A ratios of effective population sizes are considerably greater than previously appreciated. Finally, we find that the joint effects of historical changes in life history and population size can explain the observed X:A diversity ratios in extant human populations. Our results suggest that ancestral human populations were highly polygynous, that non-African populations experienced a substantial reduction in polygyny and/or increase in the male-to-female ratio of generation times around the Out-of-Africa bottleneck, and that current diversity levels were affected by fairly recent changes in sex-specific life history.

摘要

在人类群体中,X 染色体和常染色体上的中性多样性水平彼此之间以及与 3/4 的天真理论预期有很大差异。在这里,我们基于关于性别特异性生活史的新理论以及基于谱系的人类突变率对性别和年龄的依赖性的估计,提出了对这些差异的解释。我们证明,生活史效应,特别是雄性比雌性更长的世代时间,预计会对人类 X 到常染色体(X:A)多样性比产生多种影响,这是由于雄性偏向的突变率、有效种群大小的平衡 X:A 比以及对种群大小变化的不同反应。我们还表明,使用物种之间的分歧来校正雄性突变偏向的标准方法会导致对 X:A 有效种群大小比的有偏差估计。我们使用基于谱系的雄性突变偏向的估计值来获得替代估计值,这表明 X:A 有效种群大小比远远大于以前的估计值。最后,我们发现,生活史和种群大小的历史变化的共同影响可以解释现存人类群体中观察到的 X:A 多样性比。我们的研究结果表明,祖先人类群体高度多配偶制,非非洲人群在走出非洲瓶颈期附近经历了多配偶制的大幅减少和/或雄性到雌性世代时间比的增加,以及当前的多样性水平受到了近期性别特异性生活史变化的影响。