Hostname: page-component-745bb68f8f-lrblm Total loading time: 0 Render date: 2025-01-12T22:45:00.170Z Has data issue: false hasContentIssue false
  • English
  • Français

A selective model for electrophoretic profiles in protein polymorphisms

Published online by Cambridge University Press:  14 April 2009

P. A. P. Moran
P. A. P. Moran
Affiliation:
The Australian National University, Box 4, P.O., Canberra, A.C.T. 2600
Rights & Permissions [Opens in a new window]

Summary

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In a previous paper the theory of a model of electrophoretic profiles due to Ohta & Kimura was considered. This model assumes a finite population with a linear series of possible alleles with mutation between nearest types but no selection. In the present paper a model with both mutation and selection is constructed which results in a stable population distribution closely fitting empirically observed features of the Ohta–Kimura model. The problem of discriminating between selective and non-selective models for electrophoretic models is considered.

Type
Research Article
Information
Genetics Research , Volume 28 , Issue 1 , August 1976 , pp. 47 - 53
Copyright
Copyright © Cambridge University Press 1976

References

REFERENCES

Moran, P. A. P. (1975). Wandering distributions and the electrophoretic profile. Journal of Theoret. Populn. Biology. 8, 318–330.CrossRefGoogle ScholarPubMed
Moran, P. A. P. (1977). Global stability of genetic systems governed by mutation and selection. Math. Proc. Camb. Phil. Soc. (in the Press).CrossRefGoogle Scholar
Ohta, T. & Kimuba, M. (1973). A model of mutation appropriate to estimate the number of electrophoretically detectable alleles in a finite population. Genetical Research 22, 201–204.CrossRefGoogle Scholar
Seneta, E. (1973). Non-negative Matrices. London: George Allen and Unwin.Google Scholar
Vere-Jones, D. (1967). Ergodic properties of non-negative matrices: I. Pacific Journal of Mathematics 22, 361–386.CrossRefGoogle Scholar