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A monoecious and diploid Moran model of random mating
Stockholm University, Faculty of Science, Department of Mathematics.
Number of Authors: 2
2016 (English)In: Journal of Theoretical Biology, ISSN 0022-5193, E-ISSN 1095-8541, Vol. 394, 182-196 p.Article in journal (Refereed) Published
Abstract [en]

An exact Markov chain is developed for a Moran model of random mating for monoecious diploid individuals with a given probability of self-fertilization. The model captures the dynamics of genetic variation at a biallelic locus. We compare the model with the corresponding diploid Wright-Fisher (WF) model. We also develop a novel diffusion approximation of both models, where the genotype frequency distribution dynamics is described by two partial differential equations, on different time scales. The first equation captures the more slowly varying allele frequencies, and it is the same for the Moran and WF models. The other equation captures departures of the fraction of heterozygous genotypes from a large population equilibrium curve that equals Hardy-Weinberg proportions in the absence of selfing. It is the distribution of a continuous time Ornstein-Uhlenbeck process for the Moran model and a discrete time autoregressive process for the WF model. One application of our results is to capture dynamics of the degree of non-random mating of both models, in terms of the fixation index f(IS). Although f(IS) has a stable fixed point that only depends on the degree of selfing, the normally distributed oscillations around this fixed point are stochastically larger for the Moran than for the WF model.

Place, publisher, year, edition, pages
2016. Vol. 394, 182-196 p.
Keyword [en]
Diploid, Diffusion approximation, Markov chain, Moran model, Random mating
National Category
Biological Sciences Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:su:diva-132522DOI: 10.1016/j.jtbi.2015.12.028ISI: 000379888800017PubMedID: 26807805OAI: oai:DiVA.org:su-132522DiVA: diva2:952661
Available from: 2016-08-15 Created: 2016-08-15 Last updated: 2016-08-15Bibliographically approved

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Hössjer, Ola
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