ON THE EVOLUTIONARY EFFECT OF RECOMBINATION
ON THE EVOLUTIONARY EFFECT OF RECOMBINATION
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DOI：
10.1016/0040-5809(70)90043-2
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发表时间：
1970-01-01
影响因子：
1.4
通讯作者：
FELDMAN M W
中科院分区：
文献类型：
--
作者：
ESHEL I;FELDMAN M W
Crow和Kimura（1965）构建了一个模型来量化最初由Fisher（1930）和Muller（1932）提出的论点，即重组加速了进化，因为它使最初发生在不同个体中的突变能够组合在一个后代中。该模型包含这样的假设，即即使群体很大，突变率也应该很小，以至于双突变体可能不存在于同一个体中（另见Crow和Kimura（1969）。特别是，Crow和Kimura得出结论，当种群数量很大时，重组带来的优势最大。梅纳德·史密斯（Maynard Smith，1968）提出了一个”反例“来反驳这些发现。“这包括一个确定性的两个基因座模型与倍增的活力，其中，在任何时候，双突变体的频率是相同的重组，没有它。在这篇文章中，我们也处理完全确定性的模型，也就是说，一个有效的无限的人口，使染色体频率足以描述人口。然而，我们并不假设双突变体的相对适合度正好等于单突变体的相对适合度的乘积。我们考虑两个基因座的情况，以便最初可以认为总体都是AB型。突变发生在从A到a和从B到B。将突变基因型的适合度归一化为原始类型。
Crow and Kimura (1965) constructed a model to quantify the arguments originally due to Fisher (1930) and Muller (1932) that recombination accelerates evolution because it enables mutations originally occurring in distinct individuals to be combined in a single descendent. The model contained the assumption that even though the population be large, the mutation rate should be so small that the double mutant may not exist in the same individual (see, also, Crow and Kimura (1969». In particular, Crow and Kimura concluded that the advantage conferred by recombination is greatest when the population is large. Maynard Smith (1968) contested these findings by producing a" counterexample." This consisted of a deterministic two locus model with multiplicative viabilities in which, at any time, the frequency of the double mutant is the same with recombination as without it. In this article, we also treat the completely deterministic model, that is, an effectively infinite population so that chromosome frequencies suffice to describe the population. However, we do not assume that the relative fitness of the double mutant is exactly equal to the product of the relative fitnesses of the single mutants. We consider the case of two loci so that initially the population can be thought of as being all AB. Mutation occurs from A to a and from B to b. Fitnesses of the mutant genotypes are normalized to the original type.