Kimura M, Takahata N
Proc Natl Acad Sci U S A. 1983 Feb;80(4):1048-52. doi: 10.1073/pnas.80.4.1048.
To investigate the pattern of allelic distribution in enzyme polymorphism, with special reference to the relationship between the mean (H) and the variance (V(H)) of heterozygosity, we used the model of effectively neutral mutations involving multiple alleles in which selective disadvantage of mutant alleles follows a Gamma distribution. A simulation method was developed that enables us to study efficiently the process of random drift in a multiallelic genetic system and that saves a great deal of computer time. It is an improved version of the pseudosampling-variable (PSV) method [Kimura, M. (1980) Proc. Natl. Acad. Sci. USA 77, 522-526] previously used to simulate random drift in a diallelic system. This method will be useful for simulating many models of population genetics that involve behavior of multiple alleles in a finite population. By using this method, it was shown that, as compared with the model of strictly neutral mutations, the present model gives the reduction of both H and V(H) and an excess of rare variant alleles. The results were discussed in the light of recent observations on protein polymorphism with special reference to the functional constraint of proteins involved.
为了研究酶多态性中的等位基因分布模式,特别关注杂合度均值(H)与方差(V(H))之间的关系,我们使用了涉及多个等位基因的有效中性突变模型,其中突变等位基因的选择劣势遵循伽马分布。我们开发了一种模拟方法,该方法使我们能够高效地研究多等位基因遗传系统中的随机漂变过程,并且节省大量计算机时间。它是先前用于模拟双等位基因系统中随机漂变的伪抽样变量(PSV)方法[木村资生(1980年)《美国国家科学院院刊》77卷,522 - 526页]的改进版本。该方法将有助于模拟许多涉及有限种群中多个等位基因行为的群体遗传学模型。通过使用该方法,结果表明,与严格中性突变模型相比,当前模型导致H和V(H)均降低,并且稀有变异等位基因过量。根据最近关于蛋白质多态性的观察结果,特别是涉及的蛋白质的功能限制,对结果进行了讨论。