Li W H
Genetics. 1979 Jun;92(2):647-67. doi: 10.1093/genetics/92.2.647.
In order to assess the effect of deleterious mutations on various measures of genic variation, approximate formulas have been developed for the frequency spectrum, the mean number of alleles in a sample, and the mean homozygosity; in some particular cases, exact formulas have been obtained. The assumptions made are that two classes of mutations exist, neutral and deleterious, and that selection is strong enough to keep deleterious alleles in low frequencies, the mode of selection being either genic or recessive. The main findings are: (1) If the expected value (q) of the sum of the frequencies of deleterious alleles is about 10% or less, then the presence of deleterious alleles causes only a minor reduction in the mean number of neutral alleles in a sample, as compared to the case of q = 0. Also, the low- and intermediate-frequency parts of the frequency spectrum of neutral alleles are little affected by the presence of deleterious alleles, though the high-frequency part may be changed drastically. (2) The contribution of deleterious mutations to the expected total number of alleles in a sample can be quite large even if q is only 1 or 2%. (3) The mean homozygosity is roughly equal to (1--2q)/(1 + theta 1), where theta 1 is twice the number of new neutral mutations occurring in each generation in the total population. Thus, deleterious mutations increase the mean heterozygosity by about 2q/(1 + theta 1). The present results have been applied to study the controversial problem of how deleterious mutations may affect the testing of the neutral mutation hypothesis.
为了评估有害突变对基因变异各种指标的影响,已经针对频率谱、样本中等位基因的平均数以及平均纯合度推导出了近似公式;在某些特定情况下,还得到了精确公式。所做的假设是存在两类突变,即中性突变和有害突变,并且选择强度足以使有害等位基因保持在低频状态,选择模式为基因选择或隐性选择。主要发现如下:(1)如果有害等位基因频率总和的期望值(q)约为10%或更低,那么与q = 0的情况相比,有害等位基因的存在只会使样本中中性等位基因的平均数略有减少。此外,中性等位基因频率谱的低频和中频部分受有害等位基因存在的影响很小,尽管高频部分可能会发生剧烈变化。(2)即使q仅为1%或2%,有害突变对样本中预期等位基因总数的贡献也可能相当大。(3)平均纯合度大致等于(1 - 2q)/(1 + θ1),其中θ1是每代在总群体中发生的新中性突变数的两倍。因此,有害突变使平均杂合度增加约2q/(1 + θ1)。目前的结果已被应用于研究有害突变如何影响中性突变假说检验这一有争议的问题。