ArticleMolecular biology and evolution2016
A Phylogenetic Approach Finds Abundant Interlocus Gene Conversion in Yeast.
Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Detecting Evolutionary Change-Points with Branch-Specific Substitution Models and Shrinkage Priors.ArXiv · 2025Article
- Detecting Interspecific Positive Selection Using Convolutional Neural Networks.Molecular biology and evolution · 2025Article
- Detecting Evolutionary Change-Points with Branch-Specific Substitution Models and Shrinkage Priors.Research square · 2025Article
- A Class of Allopolyploidy Showing High Duplicate Retention and Continued Homoeologous Exchanges.Genome biology and evolution · 2025Article
- Interlocus Gene Conversion, Natural Selection, and Paralog Homogenization.Molecular biology and evolution · 2023Article
- Protein innovation through template switching in the Saccharomyces cerevisiae lineage.Scientific reports · 2021Article
- Markov-Modulated Continuous-Time Markov Chains to Identify Site- and Branch-Specific Evolutionary Variation in BEAST.Systematic biology · 2021Article
- Gene tree species tree reconciliation with gene conversion.Journal of mathematical biology · 2019Article
- Phylogenomic analysis demonstrates a pattern of rare and long-lasting concerted evolution in prokaryotes.Communications biology · 2018Article
- Frequent nonallelic gene conversion on the human lineage and its effect on the divergence of gene duplicates.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Interlocus gene conversion (IGC) homogenizes repeats. While genomes can be repeat-rich, the evolutionary importance of IGC is poorly understood. Additional statistical tools for characterizing it are needed. We propose a composite likelihood strategy for incorporating IGC into widely-used probabilistic models for sequence changes that originate with point mutation. We estimated the percentage of nucleotide substitutions that originate with an IGC event rather than a point mutation in 14 groups of yeast ribosomal protein-coding genes, and found values ranging from 20% to 38%. We designed and applied a procedure to determine whether these percentages are inflated due to artifacts arising from model misspecification. The results of this procedure are consistent with IGC having had an important role in the evolution of each of these 14 gene families. We further investigate the properties of our IGC approach via simulation. In contrast to usual practice, our findings suggest that the IGC should and can be considered when multigene family evolution is investigated.
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Registered trials
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