title: Detection of deleterious genotypes in multigenerational studies. II. Theoretical and experimental dynamics with selfing and selection.
abstract: A mathematical model was developed to help interpret genotype and allele frequency dynamics in selfing populations, with or without apomixis. Our analysis provided explicit time-dependent solutions for the frequencies at diallelic loci in diploid populations under any combination of fertility, viability, and gametic selection through meiotic drive. With no outcrossing, allelic variation is always maintained under gametic selection alone, but with any fertility or viability differences, variation will ordinarily be maintained if and only if the net fitness (fertility x viability) of heterozygotes exceeds that of both homozygotes by a substantial margin. Under pure selfing and Mendelian segregation, heterozygotes must have a twofold fitness advantage; the level of overdominance necessary to preserve genetic diversity declines with apomixis, and increases with segregation distortion if this occurs equally and independently in male and female gametes. A case study was made of the Arabidopsis act2-1 actin mutant over multiple generations initiated from a heterozygous plant. The observed genotypic frequency dynamics were consistent with those predicted by our model for a deleterious, incompletely recessive mutant in either fertility or viability. The theoretical framework developed here should be very useful in dissecting the form(s) and strength of selection on diploid genotypes in populations with negligible levels of outcrossing.
authors.affiliation: Department of Genetics, Life Sciences Building, University of Georgia, Athens, Georgia 30602-7223, USA. asmussen@uga.edu
authors.forename: M A
authors.initials: MA
authors.lastname: Asmussen
authors.forename: L U
authors.initials: LU
authors.lastname: Gilliland
authors.forename: R B
authors.initials: RB
authors.lastname: Meagher
mesh_terms: D017360:Arabidopsis / Q000235:genetics; D003433:Crosses, Genetic; D005838:Genotype; D008432:Mathematical Computing; D008957:Models, Genetic; D017711:Nonlinear Dynamics; D012641:Selection, Genetic