Selection and drift in subdivided populations: a straightforward method for deriving diffusion approximations and applications involving dominance, selfing and local extinctions.
Population structure affects the relative influence of selection and drift on the change in allele frequencies. Several models have been proposed recently, using diffusion approximations to calculate fixation probabilities, fixation times, and equilibrium properties of subdivided populations. We propose here a simple method to construct diffusion approximations in structured populations; it relies on general expressions for the expectation and variance in allele frequency change over one generation, in terms of partial derivatives of a "fitness function" and probabilities of genetic identity evaluated in a neutral model. In the limit of a very large number of demes, these probabilities can be expressed as functions of average allele frequencies in the metapopulation, provided that coalescence occurs on two different timescales, which is the case in the island model. We then use the method to derive expressions for the probability of fixation of new mutations, as a function of their dominance coefficient, the rate of partial selfing, and the rate of deme extinction. We obtain more precise approximations than those derived by recent work, in particular (but not only) when deme sizes are small. Comparisons with simulations show that the method gives good results as long as migration is stronger than selection.
Roze
Denis
D
Institut des Sciences de l'Evolution, Université Montpellier II, 34095 Montpellier, France. roze@mpl.ird.fr
Rousset
François
F
D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D003433:Crosses, Genetic; D004641:Emigration and Immigration; D005787:Gene Frequency; D005799:Genes, Dominant; D040961:Genetic Drift; D014644:Genetic Variation; D005828:Genetics, Population; D006579:Heterozygote; D006720:Homozygote; D006801:Humans; D008957:Models, Genetic; D011110:Polymorphism, Genetic; D012641:Selection, Genetic; D013997:Time Factors