Linkage equilibrium between rare mutations

Recombination breaks down genetic linkage by reshuffling existing variants onto new genetic backgrounds. These dynamics are traditionally quantified by examining the correlations between alleles, and how they decay as a function of the recombination rate. However, the magnitudes of these correlations are strongly influenced by other evolutionary forces like natural selection and genetic drift, making it difficult to tease out the effects of recombination. Here, we introduce a theoretical framework for analyzing an alternative family of statistics that measure the homoplasy produced by recombination. We derive analytical expressions that predict how these statistics depend on the rates of recombination and recurrent mutation, the strength of negative selection and genetic drift, and the present-day frequencies of the mutant alleles. We find that the degree of homoplasy can strongly depend on this frequency scale, which reflects the underlying timescales over which these mutations occurred. We show how these scaling properties can be used to isolate the effects of recombination and discuss their implications for the rates of horizontal gene transfer in bacteria.

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Publication Details

Journal
Genetics
Published
2024-09-02
DOI
https://doi.org/10.1093/genetics/iyae145
Citations
5
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
2.75

Funders

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article

Linkage equilibrium between rare mutations

Zhiru Liu, Benjamin H. Good, Anastasia S. Lyulina
5 citations
Genetics
Evolution and Genetic Dynamics
2.75
article

Linkage equilibrium between rare mutations

Zhiru Liu, Benjamin H. Good, Anastasia S. Lyulina
article en
5 citations

Abstract

Recombination breaks down genetic linkage by reshuffling existing variants onto new genetic backgrounds. These dynamics are traditionally quantified by examining the correlations between alleles, and how they decay as a function of the recombination rate. However, the magnitudes of these correlations are strongly influenced by other evolutionary forces like natural selection and genetic drift, making it difficult to tease out the effects of recombination. Here, we introduce a theoretical framework for analyzing an alternative family of statistics that measure the homoplasy produced by recombination. We derive analytical expressions that predict how these statistics depend on the rates of recombination and recurrent mutation, the strength of negative selection and genetic drift, and the present-day frequencies of the mutant alleles. We find that the degree of homoplasy can strongly depend on this frequency scale, which reflects the underlying timescales over which these mutations occurred. We show how these scaling properties can be used to isolate the effects of recombination and discuss their implications for the rates of horizontal gene transfer in bacteria.

GeneticsVol. 228(3)
Chan Zuckerberg Initiative (United States) (US), Stanford University (US)
Alfred P. Sloan Foundation, National Institutes of Health, Stanford Bio-X, National Institute of General Medical Sciences
Openalex Percentile: Top 9%
Evolution and Genetic Dynamics
2.75
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