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arXiv 1306.1215q-bio.PE
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干扰限制来自链接中性分集的选择压力的分辨率

Interference limits resolution of selection pressures from linked neutral diversity

Benjamin H. Good, Aleksandra M. Walczak, Richard A. Neher, Michael M. Desai

摘要:

普遍的自然选择可以强烈地影响观察到的遗传变异模式,但当多个选择的变体在基因组的附近区域分离时,这些影响仍然知之甚少。经典的群体遗传学未能解释连锁突变之间的干扰,这种干扰随着选定多态性密度的增加而变得越来越严重。在这里,我们描述了一个简单的限制,出现干扰是常见的,其中个别突变的健身效果发挥相对较小的作用。相反,分子进化是由种群内适应性的差异决定的,定义在基因组的一个有效的无性片段(一个“连锁块”)上。我们利用这种不敏感性,在一个新的“粗粒度”的合并框架,它近似的影响,许多弱选择的突变与少量的强选择的突变具有相同的方差健身。这种近似产生的遗传多样性〈动〉性,不能概括为一个简单的减少有效种群大小的准确和有效的预测。然而,这些结果表明,从当代序列数据单独解决个人选择压力的能力,从根本上限制,因为广泛的参数产生几乎相同的模式的序列变异性。

英文摘要:

Pervasive natural selection can strongly influence observed patterns of genetic variation, but these effects remain poorly understood when multiple selected variants segregate in nearby regions of the genome. Classical population genetics fails to account for interference between linked mutations, which grows increasingly severe as the density of selected polymorphisms increases. Here, we describe a simple limit that emerges when interference is common, in which the fitness effects of individual mutations play a relatively minor role. Instead, molecular evolution is determined by the variance in fitness within the population, defined over an effectively asexual segment of the genome (a ``linkage block''). We exploit this insensitivity in a new ``coarse-grained'' coalescent framework, which approximates the effects of many weakly selected mutations with a smaller number of strongly selected mutations with the same variance in fitness. This approximation generates accurate and efficient predictions for the genetic diversity that cannot be summarized by a simple reduction in effective population size. However, these results suggest a fundamental limit on our ability to resolve individual selection pressures from contemporary sequence data alone, since a wide range of parameters yield nearly identical patterns of sequence variability.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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