This research project is designed to explore the processes directing the evolution of self-incompatibility (S-) loci in flowering plants and major histocompatibility (MHC) loci in vertebrates. Our recent surveys of molecular-level variation at S-loci in natural populations revealed strikingly different phylogenetic patterns among S-alleles within two solanaceous species, Solanum carolinense and Physalis crassifolia. Theoretical, empirical, and statistical studies will be conducted to characterize and interpret the differences in genealogical pattern exhibited by natural populations. Methods for describing genealogical pattern will be developed. This approach offers a means of the testing deviations in tree shape from expectation. It also provides a diagnostic tool for qualitative recognition of the hallmarks of evolutionary and ecological processes. Theoretical studies will investigate the effects of inbreeding depression, clonal reproduction and extinction, and population structure on the evolution of genealogical relationships among S-alleles. These processes may have given rise to the patterns observed in natural populations. Empirical studies will directly address whether such processes are operating in natural populations. To explore whether ecology contributes to the observed differences in genealogical pattern, S- allele variation will be surveyed in natural populations of a species that shares close ancestry with P.crassifolia but its ecology with S.carolinense. Isozyme variation will be surveyed in order to characterize the structure of natural populations. Statistical studies will be conducted to estimate the age of the form of gametophytic self-incompatibility expressed in the Solanaceae. The process of reversion of self-incompatibility to self-compatibility will be addressed through sequence analysis of a family homologous to the S- locus in a self-compatible member of the Brassicaceae.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Research Project (R01)
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Genetics Study Section (GEN)
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Duke University
Schools of Arts and Sciences
United States
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Uyenoyama, Marcy K; Takebayashi, Naoki (2017) Evolution of the sex ratio and effective number under gynodioecy and androdioecy. Theor Popul Biol 118:27-45
Redelings, Benjamin D; Kumagai, Seiji; Tatarenkov, Andrey et al. (2015) A Bayesian Approach to Inferring Rates of Selfing and Locus-Specific Mutation. Genetics 201:1171-88
Kumagai, Seiji; Uyenoyama, Marcy K (2015) Genealogical histories in structured populations. Theor Popul Biol 102:3-15
Ayres, Daniel L; Darling, Aaron; Zwickl, Derrick J et al. (2012) BEAGLE: an application programming interface and high-performance computing library for statistical phylogenetics. Syst Biol 61:170-3
Fusco, Diana; Uyenoyama, Marcy K (2011) Sex-specific incompatibility generates locus-specific rates of introgression between species. Genetics 189:267-88
Fusco, Diana; Uyenoyama, Marcy K (2011) Effects of polymorphism for locally adapted genes on rates of neutral introgression in structured populations. Theor Popul Biol 80:121-31
Ganapathy, Ganeshkumar; Uyenoyama, Marcy K (2009) Site frequency spectra from genomic SNP surveys. Theor Popul Biol 75:346-54