Inferring Genome-Wide Correlations of Mutation Fitness Effects between Populations.
Inferring Genome-Wide Correlations of Mutation Fitness Effects between Populations.
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DOI：
10.1093/molbev/msab162
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发表时间：
2021-09-27
影响因子：
10.7
通讯作者：
Gutenkunst RN
中科院分区：
文献类型：
--
作者：
Huang X;Fortier AL;Coffman AJ;Struck TJ;Irby MN;James JE;León-Burguete JE;Ragsdale AP;Gutenkunst RN
突变对适应性的影响可能会因环境和遗传背景的不同而有所不同，但人们对造成这种差异的因素知之甚少。为了量化突变适应度效应的全基因组相关性，我们提出了种群间适应度效应联合分布（DFE）的新概念。然后，我们提出了一个新的统计量w来衡量种群之间的DFE相关性。仿真结果表明，从联合等位基因频谱推断DFE相关性具有统计精度和鲁棒性。利用种群基因组数据，我们推断了人类、黑腹果蝇和野生番茄种群的DFE相关性。在这些物种中，我们发现关节DFE的总体相关性与遗传分化呈负相关。在人类和黑腹d.m anogaster中，有害突变的DFE相关性低于耐受突变，表明关节DFE复杂。总之，可以可靠地推断出DFE相关性，并且它为种群差异的遗传学提供了广泛的见解。
The effect of a mutation on fitness may differ between populations depending on environmental and genetic context, but little is known about the factors that underlie such differences. To quantify genome-wide correlations in mutation fitness effects, we developed a novel concept called a joint distribution of fitness effects (DFE) between populations. We then proposed a new statistic w to measure the DFE correlation between populations. Using simulation, we showed that inferring the DFE correlation from the joint allele frequency spectrum is statistically precise and robust. Using population genomic data, we inferred DFE correlations of populations in humans, Drosophila melanogaster, and wild tomatoes. In these species, we found that the overall correlation of the joint DFE was inversely related to genetic differentiation. In humans and D. melanogaster, deleterious mutations had a lower DFE correlation than tolerated mutations, indicating a complex joint DFE. Altogether, the DFE correlation can be reliably inferred, and it offers extensive insight into the genetics of population divergence.
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影响因子：
4.5
作者：
Gutenkunst RN;Hernandez RD;Williamson SH;Bustamante CD
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