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Detection of Homologous Recombination Intermediates via Proximity Ligation and Quantitative PCR in Saccharomyces cerevisiae
Published on: September 11, 2022
On recombination-induced multiple and simultaneous coalescent events.
Joanna L Davies1, Frantisek Simancík, Rune Lyngsø
1Department of Statistics, University of Oxford, Oxford, OX1 3TG, United Kingdom. davies@stats.ox.ac.uk
Genetics
|October 20, 2007
Summary
Coalescent theory
Area of Science:
- Population genetics
- Molecular evolution
Background:
- Coalescent theory models genetic material spread from an ancestor.
- Continuous-time approximation assumes small sample sizes, limiting its use for large samples.
- Large recombination rates maintain multiple ancestors, creating disparities with continuous models.
Purpose of the Study:
- To analyze the disparity between discrete-time and continuous-time coalescent models for large samples.
- To investigate the impact of recombination and gene conversion on coalescent dynamics.
- To assess the implications for applications of coalescent theory in genomics.
Main Methods:
- Mathematical modeling comparing discrete-time and continuous-time coalescent approaches.
- Analysis incorporating recombination rates and gene conversion.
- Evaluation of effects on global and local genetic quantities.
Main Results:
- Large recombination rates create significant disparities between discrete and continuous coalescent models.
- Gene conversion exacerbates these disparities, potentially impacting whole-genome analyses.
- Simultaneous coalescent events affect global but not local genetic quantities like linkage disequilibrium.
Conclusions:
- Continuous-time coalescent approximations may be inadequate for large samples with high recombination rates.
- The findings are reassuring for applications focusing on local genetic quantities, such as association mapping.
- Careful consideration of model assumptions is crucial for accurate genomic analyses.
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