Muirhead C A
Department of Integrative Biology, University of California, Berkeley 94720-3140, USA.
Evolution. 2001 Aug;55(8):1532-41. doi: 10.1111/j.0014-3820.2001.tb00673.x.
This paper describes a new approach to modeling population structure for genes under strong balancing selection of the type seen in plant self-incompatibility systems and the major histocompatibility complex (MHC) system of vertebrates. Simple analytic solutions for the number of alleles maintained at equilibrium and the expected proportion of alleles shared between demes at various levels are derived and checked against simulation results. The theory accurately captures the dynamics of allele number in a subdivided population and identifies important values of m (migration rate) at which allele number and distribution change qualitatively. Starting from a panmictic population, as migration among demes decreases a qualitative change in dynamics is seen at approximately m(crit) approximately equal to the square root of(s/4piNT) where NT is the total population size and s is a measure of the strength of selection. At this point, demes can no longer maintain their panmictic allele number, due to increasing isolation from the total population. Another qualitative change occurs at a migration rate on the same order of magnitude as the mutation rate, mu. At this point, the demes are highly differentiated for allele complement, and the total number of alleles in the population is increased. Because in general u << m<(crit) at intermediate migration rates slightly fewer alleles may be maintained in the total population than are maintained at panmixia. Within this range, total allele number may not be the best indicator of whether a population is effectively panmictic, and some caution should be used when interpreting samples from such populations. The theory presented here can help to analyze data from genes under balancing selection in subdivided populations.
本文描述了一种新的方法,用于对植物自交不亲和系统和脊椎动物主要组织相容性复合体(MHC)系统中所见的强平衡选择类型下的基因群体结构进行建模。推导了在平衡状态下维持的等位基因数量以及不同层次群体间共享等位基因的预期比例的简单解析解,并与模拟结果进行了核对。该理论准确地捕捉了细分群体中等位基因数量的动态变化,并确定了m(迁移率)的重要值,在该值处等位基因数量和分布会发生质的变化。从随机交配群体开始,随着群体间迁移的减少,在大约m(临界值)≈√(s/4πNT)处会出现动态变化的质的改变,其中NT是总群体大小,s是选择强度的度量。此时,由于与总群体的隔离增加,各群体不再能维持其随机交配时的等位基因数量。在与突变率μ相同数量级的迁移率处会发生另一种质的变化。此时,各群体在等位基因组成上高度分化,群体中等位基因的总数增加。因为一般来说,在中等迁移率下,μ << m(临界值),总群体中维持的等位基因数量可能比随机交配时略少。在此范围内,总等位基因数量可能不是判断一个群体是否有效随机交配的最佳指标,在解释来自此类群体的样本时应谨慎。本文提出的理论有助于分析细分群体中平衡选择下基因的数据。