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Ascertaining regions affected by GC-biased gene conversion through weak-to-strong mutational hotspots

机译：确定区域受到弱偏强突变热点的GC偏向基因转换的影响

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摘要

A major objective for evolutionary biology is to identify regions affected by positive selection. High dN/dS values for proteins and accelerated lineage-specific substitution rates for non-coding regions are considered classic signatures of positive selection. However, these could also be the result of non-adaptive phenomena, such as GC-biased gene conversion (gBGC), which favors the fixation of strong (C/G) over weak (A/T) nucleotides. Recent estimates indicate that gBGC affected up to 20% of regions with signatures of positive selection. Here we evaluate the impact of gBGC through its molecular signature of weak-to-strong mutational hotspots. We implemented specific modifications to the test proposed by Tang and Lewontin (1999) for identifying regions of differential variability and applied it to regions previously investigated for the influence of gBGC. While we found significant agreement with previous reports, our results suggest a smaller influence of gBGC than previously estimated, warranting further development of methods for its detection.
机译：进化生物学的主要目标是确定受阳性选择影响的区域。蛋白质的高dN / dS值和非编码区的加速谱系特异性替代率被认为是阳性选择的经典特征。但是，这也可能是非自适应现象的结果，例如GC偏向基因转换（gBGC），它倾向于将强（C / G）固定在弱（A / T）核苷酸上。最近的估计表明，gBGC影响多达20％具有阳性选择特征的区域。在这里，我们通过从弱到强的突变热点的分子特征来评估gBGC的影响。我们对Tang和Lewontin（1999）提出的测试进行了特定的修改，以识别差异变异性区域，并将其应用于先前受gBGC影响的区域。尽管我们与以前的报告取得了显着的一致，但我们的结果表明gBGC的影响要小于先前的估计，因此有必要进一步开发其检测方法。

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