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Related Concept Videos

Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...

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Detection of Copy Number Alterations Using Single Cell Sequencing
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Estimating Gene Conversion Tract Length and Rate From PacBio HiFi Data.

Anders Poulsen Charmouh1, Peter Sørud Porsborg1, Lasse Thorup Hansen2

  • 1Bioinformatics Research Centre, Aarhus University, University City 81, DK-8000 Aarhus C, Denmark.

Molecular Biology and Evolution
|February 21, 2025
PubMed
Summary
This summary is machine-generated.

Estimating gene conversion rates and tract lengths is difficult. A new method using long-read sequencing data accurately measures these factors, even with low genetic variation, and can be applied to human sperm data.

Keywords:
gene conversiongenome evolutiongenomics methodsnoncrossoverrecombination

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Area of Science:

  • Genetics
  • Molecular Biology
  • Bioinformatics

Background:

  • Gene conversion is a key genetic recombination process involving DNA sequence transfer.
  • It plays a role in allele combination and mutation reversion, but accurate rate and tract length estimation remain challenging.
  • Gene conversion is a subset of noncrossover (NCO) events.

Purpose of the Study:

  • To develop and validate a novel method for estimating gene conversion rate, tract length, and detection probability.
  • To enable inference from high-fidelity (HiFi) PacBio long-read sequencing data, particularly from gametes.
  • To provide an unbiased method that functions effectively even with low single nucleotide variant (SNV) densities.

Main Methods:

  • Development of a new computational method for analyzing long-read sequencing data.
  • Utilizing simulated datasets with varying tract lengths, NCO event numbers, SNV densities, and SNV density correlations.
  • Application of the method to PacBio sequencing data from human sperm.

Main Results:

  • The new method accurately estimates gene conversion tract length, rate, and detection probability.
  • The method is unbiased across different SNV densities and requires no demographic or evolutionary assumptions.
  • Simulations indicate that under low SNV densities (e.g., human), only about 2% of NCO events are detectable as gene conversions.

Conclusions:

  • The presented method offers a robust approach for quantifying gene conversion events using long-read sequencing.
  • This tool is valuable for studying genetic variation and recombination in various organisms, including humans.
  • The findings highlight the low detectability of gene conversion events in low-variation genomes.