Tomizawa J
National Institute of Genetics, Mishima, Shizuoka-ken 411-8540, Japan.
Proc Natl Acad Sci U S A. 2000 Jun 20;97(13):7372-5. doi: 10.1073/pnas.97.13.7372.
A mutation whose fixation is independent of natural selection is termed a neutral mutation. Therefore selective neutrality of a mutation can be defined by independence of its fixation from natural selection. By the population genetic approach, Kimura [Kimura, M. (1962) Genetics 47, 713-719] predicted that the probability of fixation of a neutral mutation (u) is equal to the frequency of the new allele at the start (p). The approach traced the temporal sequence of the fixation process, and the prediction was obtained by assuming the selective equality of neutral mutant and wild-type alleles during the fixation process. The prediction, however, has not been verified by observation. In the present study, I search for the mathematical equation that represents the definition of selective neutrality. Because the definition concerns only mutation and fixation, an ideal approach should deal only with these and not with the intervening process of fixation. The approach begins by analysis of the state of fixation of a neutral mutation, and its relation with the initial state is deduced logically from the definition. The approach shows that the equality of the alleles during the fixation process is equivalent to the equality of probability of their ultimate fixation in a steady state. Both are manifestations of the definition of selective neutrality. Then, solely from this dual nature of the definition, the equality between u and p is derived directly. Therefore, the definition of selective neutrality can be represented by the equation u = p.
一种其固定与自然选择无关的突变被称为中性突变。因此,突变的选择中性可以通过其固定与自然选择的独立性来定义。通过群体遗传学方法,木村资生[木村资生,M.(1962年)《遗传学》47卷,713 - 719页]预测中性突变固定的概率(u)等于起始时新等位基因的频率(p)。该方法追踪了固定过程的时间序列,并且该预测是通过假设在固定过程中中性突变体和野生型等位基因的选择相等性而获得的。然而,这一预测尚未通过观察得到验证。在本研究中,我寻找代表选择中性定义的数学方程。由于该定义仅涉及突变和固定,一种理想的方法应该仅处理这些,而不涉及固定的中间过程。该方法首先分析中性突变的固定状态,并根据定义从逻辑上推导其与初始状态的关系。该方法表明,固定过程中等位基因的相等性等同于它们在稳态下最终固定概率的相等性。两者都是选择中性定义的表现形式。然后,仅从该定义的这种双重性质出发,直接推导出u和p之间的相等性。因此,选择中性的定义可以用方程u = p来表示。