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Singular solutions of the diffusion equation of population genetics

  • A. J. McKane
  • , D. Waxman

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The forward diffusion equation for gene frequency dynamics is solved subject to the condition that the total probability is conserved at all times. This can lead to solutions developing singular spikes (Dirac delta functions) at the gene frequencies 0 and 1. When such spikes appear in solutions they signal gene loss or gene fixation, with the "weight" associated with the spikes corresponding to the probability of loss or fixation. The forward diffusion equation is thus solved for all gene frequencies, namely the absorbing frequencies of 0 and 1 along with the continuous range of gene frequencies on the interval (0, 1) that excludes the frequencies of 0 and 1. Previously, the probabilities of the absorbing frequencies of 0 and 1 were found by appeal to the backward diffusion equation, while those in the continuous range (0, 1) were found from the forward diffusion equation. Our unified approach does not require two separate equations for a complete dynamical treatment of all gene frequencies within a diffusion approximation framework. For cases involving mutation, migration and selection, it is shown that a property of the deterministic part of gene frequency dynamics determines when fixation and loss can occur. It is also shown how solution of the forward equation, at long times, leads to the standard result for the fixation probability. © 2007 Elsevier Ltd. All rights reserved.
    Original languageEnglish
    Pages (from-to)849-858
    Number of pages9
    JournalJournal of Theoretical Biology
    Volume247
    Issue number4
    DOIs
    Publication statusPublished - 21 Aug 2007

    Keywords

    • Diffusion analysis
    • Genetic drift
    • Theory

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