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一项用于检测人类群体中受局部自然选择影响的候选区域的基因组扫描。

A genome scan to detect candidate regions influenced by local natural selection in human populations.

作者信息

Kayser Manfred, Brauer Silke, Stoneking Mark

机构信息

Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.

出版信息

Mol Biol Evol. 2003 Jun;20(6):893-900. doi: 10.1093/molbev/msg092. Epub 2003 Apr 25.

Abstract

As human populations dispersed throughout the world, they were subjected to new selective forces, which must have led to local adaptation via natural selection and hence altered patterns of genetic variation. Yet, there are very few examples known in which such local selection has clearly influenced human genetic variation. A potential approach for detecting local selection is to screen random loci across the genome; those loci that exhibit unusually large genetic distances between human populations are then potential markers of genomic regions under local selection. We investigated this approach by genotyping 332 short tandem repeat (STR) loci in Africans and Europeans and calculating the genetic differentiation for each locus. Patterns of genetic diversity at these loci were consistent with greater variation in Africa and with local selection operating on populations as they moved out of Africa. For 11 loci exhibiting the largest genetic differences, we genotyped an additional STR locus located nearby; the genetic distances for these nearby loci were significantly larger than average. These genomic regions therefore reproducibly exhibit larger genetic distances between populations than the "average" genomic region, consistent with local selection. Our results demonstrate that genome scans are a promising means of identifying candidate regions that have been subjected to local selection.

摘要

随着人类群体遍布世界各地,他们面临着新的选择压力,这必然通过自然选择导致了局部适应,从而改变了遗传变异模式。然而,已知很少有这样的局部选择明显影响人类遗传变异的例子。检测局部选择的一种潜在方法是在全基因组中筛选随机位点;那些在人类群体之间表现出异常大的遗传距离的位点,就是局部选择作用下基因组区域的潜在标记。我们通过对非洲人和欧洲人的332个短串联重复序列(STR)位点进行基因分型,并计算每个位点的遗传分化,来研究这种方法。这些位点的遗传多样性模式与非洲地区更大的变异以及人类群体迁出非洲时在当地进行的选择作用相一致。对于11个表现出最大遗传差异的位点,我们对附近的另一个STR位点进行了基因分型;这些附近位点的遗传距离明显大于平均水平。因此,与“平均”基因组区域相比,这些基因组区域在群体之间可重复地表现出更大的遗传距离,这与局部选择相符。我们的结果表明,基因组扫描是识别受局部选择作用的候选区域的一种很有前景的方法。

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