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Self-incompatibility alleles from Physalis: implications for historical inference from balanced genetic polymorphisms
1Biology Department, Montana State University, Bozeman, MT 59717-0346, USA. arichman@montana.edu
Summary
Balancing selection can maintain genetic diversity, but may skew population size estimates. This study shows divergent alleles in Physalis cinerascens were retained during population decline, violating coalescent model assumptions.
Area of Science:
- Population genetics
- Evolutionary biology
- Molecular evolution
Background:
- Balanced genetic polymorphism offers insights into population history, complementing neutral polymorphism studies.
- Coalescent theory, used for inferring population size, faces challenges with empirical data from S genes and MHC genes.
- Gene genealogies under balancing selection often show longer terminal branches, suggesting slower new allele origination.
Purpose of the Study:
- To investigate the impact of population size reduction on balanced genetic polymorphism.
- To examine how selective retention of divergent S alleles in Physalis cinerascens affects gene genealogies.
- To assess the implications for coalescent-based effective population size estimations.
Main Methods:
- Comparative analysis of S gene genealogies in Physalis cinerascens and Physalis crassifolia.
- Investigating allele retention patterns during population size changes.
- Evaluating deviations from coalescent theory expectations.
Main Results:
- Divergent S alleles were selectively maintained in Physalis cinerascens despite a population size reduction.
- This retention resulted in longer terminal branches in the S gene genealogy compared to Physalis crassifolia.
- The observed pattern violates assumptions of standard coalescent models for effective population size.
Conclusions:
- Nonrandom sorting is a characteristic of balanced genetic polymorphisms.
- Studies inferring the absence of population bottlenecks from balanced polymorphism may overestimate effective population size.
- The findings highlight the need to refine models for population history inference under balancing selection.