Data from: Fixation probability in a haploid-diploid population

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Data from: Fixation probability in a haploid-diploid population
Bessho, Kazuhiro; Otto, Sarah P., 2017, "Data from: Fixation probability in a haploid-diploid population", https://doi.org/10.5683/SP2/R12OKP, Borealis, V1
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Abstract
Classical population genetic theory generally assumes either a fully haploid or fully diploid life cycle. However, many organisms exhibit more complex life cycles, with both free-living haploid and diploid stages. Here we ask what the probability of fixation is for selected alleles in organisms with haploid-diploid life cycles. We develop a genetic model that considers the population dynamics using both the Moran model and Wright-Fisher model. Applying a branching process approximation, we obtain an accurate fixation probability assuming that the population is large and the net effect of the mutation is beneficial. We also find the diffusion approximation for the fixation probability, which is accurate even in small populations and for deleterious alleles, as long as selection is weak. These fixation probabilities from branching process and diffusion approximations are similar when selection is weak for beneficial mutations that are not fully recessive. In many cases, particularly when one phase predominates, the fixation probability differs substantially for haploid-diploid organisms compared to either fully haploid or diploid species. (2020-06-24)
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Supplementary Mathematica FileMathematica file deriving key results in the manuscript, including the simulations reported in the figures.SupplementaryFile.nb
Supplementary Mathematica File (PDF)PDF version of the Mathematica file deriving key results in the manuscript, including the simulations reported in the figures.SupplementaryFile.pdf
(2020-06-24)
Subject Other
Keyword effective population size, fixation probability, haploid-diploid, Wright-Fisher model, Moran model
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PDF version of the Mathematica file deriving key results in the manuscript, including the simulations reported in the figures.
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