Journal of Mathematical Biology

, Volume 3, Issue 3–4, pp 263–269 | Cite as

Stochastic selection in both haplophase and diplophase

  • D. L. Hartl
Article

Summary

A population genetic model incorporating the evolutionary forces of zygotic selection, gametic selection and non-Mendelian segregation has been analyzed for the case in which all selection coefficients and the segregation parameter are assumed to be random variables that are uncorrelated from generation to generation. The diffusion approximation of the model is developed, and the subsequent analysis shows that one of four limiting outcomes of the stochastic process may obtain — an allele may be fixed or lost almost surely and irrespective of the initial gene frequency, the gene frequency may converge to a unique stationary distribution, or an allele may be fixed or lost with probabilities depending on the initial gene frequency. These outcomes correspond rather closely with the possible outcomes of the deterministic model — fixation or loss of an allele, convergence to a stable equilibrium, or the existence of an unstable equilibrium.

Keywords

Stationary Distribution Mathematical Biology Genetic Model Matrix Theory Gene Frequency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Cook, R. D., Hartl, D. L.: Uncorrelated random environments and their effects on gene frequency. Evolution 28, 265–274 (1974).Google Scholar
  2. Cook, R. D., Hartl, D. L.: Stochastic selection in large and small populations. Theoret. Population Biology 7, 55–63 (1975).Google Scholar
  3. Feller, W.: Diffusion processes in one dimension. Trans. Amer. Math. Soc. 77, 1–31 (1954).Google Scholar
  4. Gillespie, J.: Polymorphism in random environments. Theoret. Population Biology 4, 193–195 (1973).Google Scholar
  5. Hartl, D. L.: Stochastic selection in gametes and zygotes. In: Gamete Competition in Plants and Animals (Mulcahy, D. L., ed.), pp. 233–242. Amsterdam: North Holland Publishing Company 1975.Google Scholar
  6. Hartl, D. L., Cook, R. D.: Balanced polymorphisms of quasineutral alleles. Theoret. Population Biology 4, 163–172 (1973).Google Scholar
  7. Hartl, D. L., Cook, R. D.: Stochastic selection and the maintenance of genetic variation. In: Internal Conference on Population Genetics and Ecology (Karlin, S., Nevo, E., eds.), pp. 593–615. New York: Academic Press 1976.Google Scholar
  8. Hiraizumi, Y., Sandler, L., Crow, J. F.: Meiotic drive in natural populations of Drosophila melanogaster. III. Population implications of the segregation-distorter locus. Evolution 44, 433–444 (1960).Google Scholar
  9. Karlin, S., Lieberman, U.: Random temporal variation in selection intensities: Case of large population size. Theoret. Population Biology 6, 355–382 (1974).Google Scholar
  10. Karlin, S., Lieberman, U.: Random temporal variation in selection intensities: one-locus two-allele model. J. Math. Biol. 2, 1–17 (1975).Google Scholar
  11. Karlin, S., Levikson, B.: Temporal variation in selection intensities: Case of small population size. Theoret. Population Biology 6, 383–412 (1974).Google Scholar
  12. Levikson, B.: The effects of random environments on the evolutionary process of gene frequencies: A mathematical analysis. Ph. D. Thesis, Tel-Aviv University, Israel. 1974.Google Scholar
  13. Levikson, B., Karlin, S.: Random temporal variation in selection intensities acting on infinite diploid populations: Diffusion method analysis. Theoret. Population Biology 8, 292–300 (1975).Google Scholar
  14. Norman, M. F.: An ergodic theorem for evolution in a random environment. J. Applied Probability 12, 661–672 (1975).Google Scholar
  15. Scudo, F. M.: Selection on both haplo and diplophase. Genetics 56, 693–704 (1967).Google Scholar

Copyright information

© Springer-Verlag 1976

Authors and Affiliations

  • D. L. Hartl
    • 1
  1. 1.Department of Biological SciencesPurdue UniversityWest LafayetteUSA

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