利用位点频率比隔离选择性和非选择性作用力

Jody Hey, Vitor Pavinato
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摘要

本文介绍了一种利用位点频率谱估算突变适应度效应分布的新方法。以往的方法会对非选择性因素做出假设,或试图将这些因素纳入基础模型中,而这种新方法则不同,它主要是通过选择性位点计数与中性位点计数之比来避免非选择性效应。通过将两个泊松随机变量的比值视为两个高斯随机变量的比值,可以找到一组选择性/中性比值的可能性表达式。这种方法还避免了估计选择性位点和中性位点相对突变率的需要。对多种人口统计模型以及相关选择效应的模拟表明,新的 SF-Ratios 方法在选择统计检验方面表现良好,在估计选择效应的分布方面也表现良好。对两个黑腹果蝇种群的应用表明,同义位点的选择作用明显但非常弱。对于非同义位点,估计的选择效应远远弱于以前对果蝇种群的估计。
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Isolating selective from non-selective forces using site frequency ratios
A new method is introduced for estimating the distribution of mutation fitness effects using site frequency spectra. Unlike previous methods, which make assumptions about non-selective factors, or that try to incorporate such factors into the underlying model, this new method mostly avoids non-selective effects by working with the ratios of counts of selected sites to neutral sites. An expression for the likelihood of a set of selected/neutral ratios is found by treating the ratio of two Poisson random variables as the ratio of two gaussian random variables. This approach also avoids the need to estimate the relative mutation rates of selected and neutral sites. Simulations over a wide range of demographic models, with linked selection effects show that the new SF-Ratios method performs well for statistical tests of selection, and it performs well for estimating the distribution of selection effects. Applications to two populations of Drosophila melanogaster reveal clear but very weak selection on synonymous sites. For nonsynonymous sites, selection was estimated to be far weaker than previous estimates for Drosophila populations.
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