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Updated: Jun 10, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
A coalescent dual process in a Moran model with genic selection, and the lambda coalescent limit
Alison M Etheridge1, Robert C Griffiths, Jesse E Taylor
1Department of Statistics, University of Oxford, OX1 3TG, UK. etheridge@stats.ox.ac.uk
This study introduces a new coalescent dual process for Moran models with viability selection, extending previous work on neutral populations. The findings offer a novel way to understand gene ancestry in complex population structures.
Area of Science:
- Population Genetics
- Mathematical Biology
- Evolutionary Dynamics
Background:
- Studies neutral populations with skewed reproductive success.
- Existing models often simplify selection mechanisms.
Purpose of the Study:
- Derive a coalescent dual process for continuous-time Moran models incorporating viability selection.
- Extend dual process construction for multi-type Moran models with genic selection.
Main Methods:
- Derivation of a coalescent dual process for Moran models with viability selection.
- Analysis of convergence to a Markov jump process (lamda-Fleming-Viot process) in infinite population limits.
- Development of a branching-coalescing dual process tracking gene ancestry.
Main Results:
- Established a coalescent dual for Moran models with viability selection.
- Demonstrated convergence of non-neutral Moran models to the lamda-Fleming-Viot process.
- Characterized the dual as a branching-coalescing process similar to the Ancestral Selection Graph.
Conclusions:
- The derived coalescent dual provides a powerful tool for analyzing non-neutral population genetics.
- The lamda-Fleming-Viot process and its dual offer new insights into gene ancestry under viability selection.
- Applications include expressing transition functions of Moran and lamda-coalescent models.
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