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.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM037841-15
Application #
2900638
Study Section
Genetics Study Section (GEN)
Project Start
1986-07-01
Project End
2002-03-31
Budget Start
1999-04-01
Budget End
2000-03-31
Support Year
15
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Duke University
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
071723621
City
Durham
State
NC
Country
United States
Zip Code
27705
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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) Effects of polymorphism for locally adapted genes on rates of neutral introgression in structured populations. Theor Popul Biol 80:121-31
Fusco, Diana; Uyenoyama, Marcy K (2011) Sex-specific incompatibility generates locus-specific rates of introgression between species. Genetics 189:267-88
Ganapathy, Ganeshkumar; Uyenoyama, Marcy K (2009) Site frequency spectra from genomic SNP surveys. Theor Popul Biol 75:346-54