Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK.
J Mol Evol. 2011 Feb;72(2):215-21. doi: 10.1007/s00239-010-9423-2. Epub 2010 Dec 15.
Microsatellites form an abundant class of DNA sequences used widely as genetic markers. Surprisingly, the length of human microsatellites varies highly predictably with distance from Africa, apparently following the linear decline in variability that arose as we colonised the world. Such patterns have been used to argue that heterozygosity modulates the rate of microsatellite evolution. Here I test the ensuing prediction that variation in demographic history will cause individual populations predictably either to lead or to lag any given trend in length. I find that they do: larger populations with locally higher heterozygosity have microsatellites that are longer when a locus is expanding and shorter when a locus is contracting. These patterns remain even after controlling for the stepwise way in which heterozygosity and allele lengths decline across the world. This analysis provides support for a strongly discontinuous model for how human genetic variability is distributed and shows how individual populations differ in the average rate their microsatellites are evolving. Such patterns have the potential to provide a new window onto historical demography.
微卫星是一类丰富的 DNA 序列,被广泛用作遗传标记。令人惊讶的是,人类微卫星的长度与距非洲的距离高度可预测地变化,显然是随着我们在全球殖民化而出现的可变性线性下降。这种模式被用来论证杂合性调节微卫星进化的速度。在这里,我检验了随之而来的预测,即人口历史的变化将导致个体种群可预测地引领或滞后于任何给定的长度趋势。我发现它们确实如此:当一个基因座扩张时,具有局部更高杂合性的较大种群的微卫星更长,而当一个基因座收缩时,微卫星更短。即使在控制了杂合性和等位基因长度在全球范围内逐渐下降的方式之后,这些模式仍然存在。这种分析为人类遗传变异性如何分布提供了强有力的不连续模型,并展示了个体种群在其微卫星进化的平均速度上的差异。这些模式有可能为历史人口统计学提供一个新的窗口。