Abstract

BackgroundGenes located in the same chromosome region share common evolutionary events more often than other genes (e.g. a segmental duplication of this region). Their evolution may also be related if they are involved in the same protein complex or biological process. Identifying co-evolving genes can thus shed light on ancestral genome structures and functional gene interactions.ResultsWe devise a simple, fast and accurate probability method based on species tree-gene tree reconciliations to detect when two gene families have co-evolved. Our method observes the number and location of predicted macro-evolutionary events, and estimates the probability of having the observed number of common events by chance.ConclusionsSimulation studies confirm that our method effectively identifies co-evolving families. This opens numerous perspectives on genome-scale analysis where this method could be used to pinpoint co-evolving gene families and thus help to unravel ancestral genome arrangements or undocumented gene interactions.

Highlights

  • Genes located in the same chromosome region share common evolutionary events more often than other genes

  • The problem of detecting co-evolution at the amino acid level has been extensively studied recently ([4,5]; among others)

  • Reconciliation methods construct a mapping between a gene tree and a species tree to explain their incongruence by macro-evolutionary events such as speciations, gene duplications, horizontal gene transfers etc

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Summary

Results

Fast and accurate probability method based on species tree-gene tree reconciliations to detect when two gene families have co-evolved. Our method observes the number and location of predicted macro-evolutionary events, and estimates the probability of having the observed number of common events by chance

Conclusions
Background
Methods
Results and discussion
Conclusion
14. Bininda-Emonds ORP
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