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Approximating the Coalescent Under Facultative Sex
1Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh, UK.
The Journal of Heredity
|January 29, 2021
Summary
Genome studies of facultative sexual species reveal that frequent sex allows standard coalescent approximations. Rare sex, however, complicates evolutionary history analysis, impacting effective population size (Ne) estimations.
Area of Science:
- Evolutionary Biology
- Population Genetics
- Genomics
Background:
- Facultative sexual species reproduce both sexually and asexually, presenting unique evolutionary dynamics.
- Understanding the genomic evolutionary history of these species is crucial for evolutionary biology.
- The applicability of standard coalescent theory to facultative sexuals remains unclear.
Purpose of the Study:
- To determine the conditions under which standard coalescent approximations are valid for facultative sexual species.
- To investigate the existence and nature of a coalescent effective population size (Ne) in these species.
- To inform optimal sampling strategies for studying the evolutionary history of mixed reproductive mode organisms.
Main Methods:
- Theoretical analysis of population genetics models incorporating sexual and asexual reproduction.
- Investigation of genealogical properties under varying frequencies of sexual reproduction and gene conversion.
- Mathematical derivation of coalescent approximations and effective population size (Ne) under different scenarios.
Main Results:
- When sexual reproduction is frequent (>>1/N), the standard coalescent approximation is valid, with Ne ≈ N.
- When sex is rare (<<1/N), pairwise coalescent times are influenced by sex and gene conversion frequencies, not directly by N.
- Under rare sex conditions, a standard coalescent effective population size (Ne) does not emerge.
Conclusions:
- The evolutionary history of facultative sexuals can be approximated by standard coalescent theory only when sex is frequent.
- Rare sexual reproduction and gene conversion significantly alter genealogical patterns, precluding simple coalescent Ne estimations.
- Findings guide the development of effective sampling strategies for studying the population genomics of mixed reproductive mode species.
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