- THIS ARTICLE
- Full Text (PDF)
- Alert me when this article is cited
- Alert me if a correction is posted
- SERVICES
- Similar articles in this journal
- Similar articles in PubMed
- Alert me to new issues of the journal
- Download to citation manager
- Reprints & Permissions
- CITING ARTICLES
- Citing Articles via HighWire
- Citing Articles via Google Scholar
- GOOGLE SCHOLAR
- Articles by Karlin, S.
- Articles by Feldman, M. W.
- Search for Related Content
- PUBMED
- PubMed Citation
- Articles by Karlin, S.
- Articles by Feldman, M. W.
A THEORETICAL AND NUMERICAL ASSESSMENT OF GENETIC VARIABILITY
Samuel Karlin 1 and Marcus W. Feldman 2
1 Department of Mathematics Stanford University, Stanford, California 94305
2 Department of Biological Sciences, Stanford University, Stanford, California 94305
The equilibrium behavior of one-locus viability selection models is studied numerically. The selection schemes include randomly chosen viabilities, viabilities chosen to measure a hypothetical distance between the alleles making up the genotype and viabilities that obey various allelic dominance relations. From 3 to 8 alleles are considered. Among the key conclusions are (1) equilibria that are most polymorphic do not usually have the highest mean fitness, (2) the more structure there is in the choice of the viability model, the greater is the level of polymorphism at equilibrium, and (3) for the numbers of alleles chosen here, the equilibrium reached by iteration from the centroid of the allele frequency simplex is the best predictor of the equilibrium attainable from randomly chosen starting vectors. Preliminary evidence shows that this is not the case for 16 alleles.
This article has been cited by other articles:
 |
|
 |
|
  T. Kis-Papo, V. Kirzhner, S. P. Wasser, and E. Nevo Evolution of genomic diversity and sex at extreme environments: Fungal life under hypersaline Dead Sea stress PNAS, December 9, 2003; 100(25): 14970 - 14975. [Abstract] [Full Text] [PDF]
|
|