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利用基于位点的突变-选择模型从系统发育数据估计选择系数的分布。

Estimating the distribution of selection coefficients from phylogenetic data using sitewise mutation-selection models.

机构信息

Medical Research Council National Institute for Medical Research, London, NW7 1AA, United Kingdom.

出版信息

Genetics. 2012 Mar;190(3):1101-15. doi: 10.1534/genetics.111.136432. Epub 2011 Dec 29.

DOI:10.1534/genetics.111.136432
PMID:22209901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3296245/
Abstract

Estimation of the distribution of selection coefficients of mutations is a long-standing issue in molecular evolution. In addition to population-based methods, the distribution can be estimated from DNA sequence data by phylogenetic-based models. Previous models have generally found unimodal distributions where the probability mass is concentrated between mildly deleterious and nearly neutral mutations. Here we use a sitewise mutation-selection phylogenetic model to estimate the distribution of selection coefficients among novel and fixed mutations (substitutions) in a data set of 244 mammalian mitochondrial genomes and a set of 401 PB2 proteins from influenza. We find a bimodal distribution of selection coefficients for novel mutations in both the mitochondrial data set and for the influenza protein evolving in its natural reservoir, birds. Most of the mutations are strongly deleterious with the rest of the probability mass concentrated around mildly deleterious to neutral mutations. The distribution of the coefficients among substitutions is unimodal and symmetrical around nearly neutral substitutions for both data sets at adaptive equilibrium. About 0.5% of the nonsynonymous mutations and 14% of the nonsynonymous substitutions in the mitochondrial proteins are advantageous, with 0.5% and 24% observed for the influenza protein. Following a host shift of influenza from birds to humans, however, we find among novel mutations in PB2 a trimodal distribution with a small mode of advantageous mutations.

摘要

估计突变选择系数的分布是分子进化中长期存在的问题。除了基于群体的方法外,还可以通过基于系统发育的模型从 DNA 序列数据中估计分布。以前的模型通常发现单峰分布,概率质量集中在轻度有害和近中性突变之间。在这里,我们使用一种基于位点的突变-选择系统发育模型,来估计 244 种哺乳动物线粒体基因组和 401 种来自流感的 PB2 蛋白的数据集,对新型和固定突变(取代)的选择系数分布进行估计。我们发现,在线粒体数据集和在其自然宿主鸟类中进化的流感蛋白中,新型突变的选择系数呈双峰分布。大多数突变具有很强的有害性,其余的概率质量集中在轻度有害到中性突变。对于这两个数据集,在适应性平衡时,取代的系数分布是单峰的,且以近中性取代为中心对称。在哺乳动物蛋白的非同义突变中,约有 0.5%是有利的,而非同义取代中约有 14%是有利的,而流感蛋白中观察到的比例分别为 0.5%和 24%。然而,流感病毒从鸟类转移到人类后,我们在 PB2 的新型突变中发现了一个三峰分布,其中有利突变的模式很小。

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