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- Title
Inferring evolution of gene duplicates using probabilistic models and nonparametric belief propagation.
- Authors
Zeng, Jia; Hannenhalli, Sridhar
- Abstract
Gene duplication, followed by functional evolution of duplicate genes, is a primary engine of evolutionary innovation. In turn, gene expression evolution is a critical component of overall functional evolution of paralogs. Inferring evolutionary history of gene expression among paralogs is therefore a problem of considerable interest. It also represents significant challenges. The standard approaches of evolutionary reconstruction assume that at an internal node of the duplication tree, the two duplicates evolve independently. However, because of various selection pressures functional evolution of the two paralogs may be coupled. The coupling of paralog evolution corresponds to three major fates of gene duplicates: subfunctionalization (SF), conserved function (CF) or neofunctionalization (NF). Quantitative analysis of these fates is of great interest and clearly influences evolutionary inference of expression. These two interrelated problems of inferring gene expression and evolutionary fates of gene duplicates have not been studied together previously and motivate the present study.
- Publication
BMC genomics, 2013, Vol 14 Suppl 1, pS15
- ISSN
1471-2164
- Publication type
Journal Article
- DOI
10.1186/1471-2164-14-S1-S15