Chakraborty R, Smouse P E, Neel J V
Center for Demographic and Population Genetics, University of Texas Graduate School of Biomedical Sciences, Houston 77225.
Am J Hum Genet. 1988 Nov;43(5):709-25.
The interpretation of data on genetic variation with regard to the relative roles of different evolutionary factors that produce and maintain genetic variation depends critically on our assumptions concerning effective population size and the level of migration between neighboring populations. In humans, recent population growth and movements of specific ethnic groups across wide geographic areas mean that any theory based on assumptions of constant population size and absence of substructure is generally untenable. We examine the effects of population subdivision on the pattern of protein genetic variation in a total sample drawn from an artificial agglomerate of 12 tribal populations of Central and South America, analyzing the pooled sample as though it were a single population. Several striking findings emerge. (1) Mean heterozygosity is not sensitive to agglomeration, but the number of different alleles (allele count) is inflated, relative to neutral mutation/drift/equilibrium expectation. (2) The inflation is most serious for rare alleles, especially those which originally occurred as tribally restricted "private" polymorphisms. (3) The degree of inflation is an increasing function of both the number of populations encompassed by the sample and of the genetic divergence among them. (4) Treating an agglomerated population as though it were a panmictic unit of long standing can lead to serious biases in estimates of mutation rates, selection pressures, and effective population sizes. Current DNA studies indicate the presence of numerous genetic variants in human populations. The findings and conclusions of this paper are all fully applicable to the study of genetic variation at the DNA level as well.
关于产生和维持遗传变异的不同进化因素的相对作用,对遗传变异数据的解读严重依赖于我们关于有效种群大小和相邻种群间迁移水平的假设。在人类中,近期的人口增长以及特定族群在广阔地理区域内的迁移意味着,任何基于恒定种群大小和不存在亚结构假设的理论通常都站不住脚。我们研究了种群细分对从南美洲和中美洲12个部落种群的人工聚集样本中抽取的总样本中蛋白质遗传变异模式的影响,将合并样本当作一个单一种群来分析。出现了几个显著的发现。(1)平均杂合度对聚集不敏感,但不同等位基因的数量(等位基因计数)相对于中性突变/漂变/平衡预期有所膨胀。(2)对于稀有等位基因,尤其是那些最初作为部落限制性“私有”多态性出现的等位基因,膨胀最为严重。(3)膨胀程度是样本所包含的种群数量及其间遗传差异的递增函数。(4)将聚集种群当作一个长期存在的随机交配单位来处理,可能会在突变率、选择压力和有效种群大小的估计中导致严重偏差。当前的DNA研究表明人类种群中存在大量遗传变异。本文的研究结果和结论同样完全适用于DNA水平的遗传变异研究。