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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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The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
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Increased mutation and gene conversion within human segmental duplications.

Mitchell R Vollger1,2, Philip C Dishuck1, William T Harvey1

  • 1Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.

Nature
|May 10, 2023
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Summary
This summary is machine-generated.

Single-nucleotide variants (SNVs) are 60% higher in human segmental duplications (SDs), largely due to interlocus gene conversion (IGC). This study maps IGC hotspots and reveals distinct SNV mutational patterns in SDs.

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Area of Science:

  • Genomics
  • Human Genetics
  • Evolutionary Biology

Background:

  • Segmental duplications (SDs) present mapping challenges for short-read sequencing data, limiting the study of single-nucleotide variants (SNVs) within these regions.
  • Understanding SNV patterns in SDs is crucial for comprehending genome evolution and disease association.

Purpose of the Study:

  • To systematically assess SNVs in human segmental duplications (SDs) by overcoming short-read mapping limitations.
  • To investigate the role of interlocus gene conversion (IGC) in SNV patterns within SDs.
  • To characterize the mutational spectrum and evolutionary age of SNVs in SDs.

Main Methods:

  • Construction of 1:1 unambiguous alignments spanning high-identity SDs across 102 human haplotypes.
  • Comparison of SNV patterns between unique and duplicated genomic regions.
  • Development of a genome-wide map of IGC donors and acceptors, including analysis of affected protein-coding genes.
  • Application of a coalescent framework to assess the evolutionary age of SD regions.

Main Results:

  • Human SNVs are elevated by 60% in SDs compared to unique regions.
  • At least 23% of this increase is attributed to interlocus gene conversion (IGC), with extensive sequence conversion observed.
  • A genome-wide map identified numerous IGC hotspots affecting exons of approximately 800 protein-coding genes, with some genes showing significant relocation.
  • SD regions are slightly older evolutionarily than unique sequences, likely due to IGC.
  • SNVs in SDs exhibit a distinct mutational spectrum, including increased transversions and reduced CpG-associated mutations, contributing to higher GC content.

Conclusions:

  • Interlocus gene conversion significantly contributes to the elevated SNV rate in human segmental duplications.
  • The study provides a comprehensive map of IGC activity and its impact on protein-coding genes within SDs.
  • Distinct mutational properties of SNVs in SDs likely maintain higher GC content, influenced by GC-biased conversion between paralogous sequences.