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Mismatch Repair

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Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
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Mutation, Gene Flow, and Genetic Drift

Mutation, Gene Flow, and Genetic Drift

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Gene Conversion

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Related Experiment Video

Updated: Jun 28, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Linkage equilibrium between rare mutations.

Anastasia S Lyulina^1,2, Zhiru Liu², Benjamin H Good^1,2,3

¹Department of Biology, Stanford University, Stanford, CA 94305, USA.

Biorxiv : the Preprint Server for Biology

|April 15, 2024

Summary

This summary is machine-generated.

Recombination reshuffles genetic variants, but its effects are obscured by selection and drift. This study introduces new statistics measuring homoplasy to better isolate recombination

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Related Experiment Videos

Last Updated: Jun 28, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Area of Science:

Evolutionary genetics
Population genetics

Background:

Recombination shuffles genetic variants, influencing linkage disequilibrium.
Traditional methods struggle to disentangle recombination effects from selection and drift.

Approach:

Introduced a theoretical framework analyzing homoplasy generated by recombination.
Derived analytical expressions linking homoplasy statistics to evolutionary parameters.

Key Points:

Homoplasy measurements are sensitive to allele frequencies, reflecting mutation timescales.
Developed methods to isolate recombination's impact using homoplasy scaling properties.

Conclusions:

New statistics provide a robust way to quantify recombination's role in evolution.
Findings have implications for understanding horizontal gene transfer rates in bacteria.