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The Role of GC-Biased Gene Conversion in Shaping the Fastest Evolving Regions of the Human Genome

机译:基于GC的基因转换在塑造人类基因组发展最快的区域中的作用

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摘要

GC-biased gene conversion (gBGC) is a recombination-associated evolutionary process that accelerates the fixation of guanine or cytosine alleles, regardless of their effects on fitness. gBGC can increase the overall rate of substitutions, a hallmark of positive selection. Many fast-evolving genes and noncoding sequences in the human genome have GC-biased substitution patterns, suggesting that gBGC—in contrast to adaptive processes—may have driven the human changes in these sequences. To investigate this hypothesis, we developed a substitution model for DNA sequence evolution that quantifies the nonlinear interacting effects of selection and gBGC on substitution rates and patterns. Based on this model, we used a series of lineage-specific likelihood ratio tests to evaluate sequence alignments for evidence of changes in mode of selection, action of gBGC, or both. With a false positive rate of less than 5% for individual tests, we found that the majority (76%) of previously identified human accelerated regions are best explained without gBGC, whereas a substantial minority (19%) are best explained by the action of gBGC alone. Further, more than half (55%) have substitution rates that significantly exceed local estimates of the neutral rate, suggesting that these regions may have been shaped by positive selection rather than by relaxation of constraint. By distinguishing the effects of gBGC, relaxation of constraint, and positive selection we provide an integrated analysis of the evolutionary forces that shaped the fastest evolving regions of the human genome, which facilitates the design of targeted functional studies of adaptation in humans.
机译:GC偏向基因转换(gBGC)是一种重组相关的进化过程,可加快鸟嘌呤或胞嘧啶等位基因的固定,无论它们对适应性的影响如何。 gBGC可以提高整体替代率,这是积极选择的标志。人类基因组中许多快速发展的基因和非编码序列具有偏向于GC的替代模式,这表明与适应性过程相反,gBGC可能推动了人类对这些序列的改变。为了研究该假设,我们开发了一种用于DNA序列进化的替代模型,该模型量化了选择和gBGC对替代率和模式的非线性相互作用的影响。基于此模型,我们使用了一系列特定于谱系的似然比检验来评估序列比对,以证明选择方式,gBGC作用或两者都有变化。对于个别测试,假阳性率低于5%,我们发现,在不使用gBGC的情况下,最好地解释了先前确定的人类加速区域的大部分(76%),而通过单独使用gBGC。此外,超过一半(55%)的替代率显着超过中立率的本地估计值,这表明这些区域可能是通过积极选择而不是放宽约束来塑造的。通过区分gBGC,约束放松和阳性选择的作用,我们对形成人类基因组最快进化区域的进化力进行了综合分析,这有助于设计针对人类适应性的功能研究。

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