It has been recently shown numerically that sex enables selection for alleles that perform well across different genetic contexts, i.e., selection for mixability. Here we capture this result analytically in a simple case. This serves a dual purpose. First, it provides a clear distinction between fitness maximization and selection for mixability. Second, it points out a limitation of the traditional analytical approach as applied to mixability.
Bibliographical noteFunding Information:
A.L. acknowledges financial support from the Miller Institute for Basic Research in Science. Research supported in part by NSF Grant CCF-0635319 to CP and NIH grant GM28016 to MWF.
- Evolutionary transient
- Linear dynamics
- Symmetric fitness model
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation
- Biochemistry, Genetics and Molecular Biology (all)
- Immunology and Microbiology (all)
- Agricultural and Biological Sciences (all)
- Applied Mathematics