Hostname: page-component-8448b6f56d-c47g7 Total loading time: 0 Render date: 2024-04-25T04:16:57.448Z Has data issue: false hasContentIssue false

On the persistence of random genetic drift

Published online by Cambridge University Press:  14 July 2016

Peter L. Antonelli
Affiliation:
University of Alberta
Kenneth Morgan
Affiliation:
University of Alberta

Abstract

It is demonstrated that standard Brownian motion in the tangent plane at the centroid of frequency space does not well approximate the discrete Wright—Fisher process for more than 2N generations where N is the effective population size. This result is obtained using Wright's concept of negligible mutation rate for the study of systematic evolutionary effects together with Ludwig's notion of the persistence of a dynamical system. This work may be viewed as a mathematical elaboration of a portion of Wright's shifting balance theory of evolution.

Type
Short Communications
Copyright
Copyright © Applied Probability Trust 1978 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Antonelli, P. L. and Strobeck, C. (1977) The geometry of random drift I. Stochastic distance and diffusion. Adv. Appl. Prob. 9, 238249.Google Scholar
[2] Antonelli, P. L., Chapin, J., Lathrop, G. M. and Morgan, K. (1977) The geometry of random drift II. The symmetry of random genetic drift. Adv. Appl. Prob. 9, 250259.CrossRefGoogle Scholar
[3] Antonelli, P. L., Morgan, K. and Lathrop, G. M. (1977) The geometry of random drift III. Recombination and diffusion. Adv. Appl. Prob. 9, 260267.Google Scholar
[4] Crow, J. F. and Kimura, M. (1970) An Introduction to Population Genetics Theory. Harper and Row, New York.Google Scholar
[5] Edwards, A. W. F. and Cavalli-Sforza, L. L. (1972) Affinity as revealed by differences in gene frequencies. In The Assessment of Population Affinities in Man, ed. Weiner, J. and Huizinga, J. Clarendon Press, Oxford.Google Scholar
[6] Eisenhart, L. P. (1926) Riemannian Geometry. Princeton University Press, Princeton, N.J.Google Scholar
[7] Ludwig, D. (1975) Persistence of dynamical systems under random perturbations. SIAM Rev. 17, 605640.CrossRefGoogle Scholar
[8] Ventsel', A. D. and Freidlin, M. I. (1970) On small random perturbations of dynamical systems. Russian Mathematical Surveys 25, 155.Google Scholar
[9] Wright, S. (1964) Stochastic processes in evolution. In Stochastic Models in Medicine and Biology, ed. Gurland, J. University of Wisconsin Press, Madison.Google Scholar