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Average time until fixation of a mutant allele in a finite population under continued mutation pressure: Studies by analytical, numerical, and pseudo-sampling methods
Author(s) -
Makoto Kimura
Publication year - 1980
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.77.1.522
Subject(s) - fixation (population genetics) , allele , genetics , mutation , population , allele frequency , mutant , biology , medicine , gene , environmental health
We consider a single locus, and denote byA the wild-type allele and byA′ the mutant allele that is produced irreversibly in each generation fromA at the ratev . Let 1 +s , 1 +h , and 1 be, respectively, the relative fitnesses of mutant homozygoteA′A′ , mutant heterozygoteA′A , and wild-type homozygoteAA . Then, it is shown, on the basis of the diffusion equation method, that the average time until fixation of the mutant allele (A′ ) in a randomly mating population of effective sizeNe , given that the initial frequency isp , is [Formula: see text] in whichB (x ) = (S /2)x 2 +Hx (1 -x ),S = 4Ne s, H= 4Ne h, andV = 4Ne v.Of particular interest are the cases in which the mutant allele is deleterious (s = -s′, s′ > 0). Three cases are considered; the mutant is: (i ) completely dominants =h = -s′ , (ii ) completely recessives = -s′, h = 0, and (iii ) semidominants = -s′, h = -s′ /2, in whichs′ is the selection coefficient against the mutant homozygote. It is shown that the average time until fixation is shorter when the deleterious mutant allele is dominant than when it is recessive if 4Ne vis larger than 1. On the other hand, the situation is reversed if 4Ne vis smaller than 1. It is also shown that for a mutant allele for whichNe s′> 10, it takes such a long time until fixation that we can practically ignore the occurrence of random fixation of a deleterious allele under continued mutation pressure. To supplement the analytical treatment, extensive simulation experiments were performed by using a device called the pseudo-sampling variable, which can enormously accelerate the process of simulation by a computer. This method simulates the diffusion process itself rather than the binominal sampling process (in population genetics the diffusion model is usually regarded as an approximation of the discrete binomial sampling process).

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