Models for gene duplication when dosage balance works as a transition state to subsequent neo- or sub-functionalization

BMC Evolutionary Biology

Research Article

Ashley I. Teufel¹  David A. Liberles¹  Liang Liu² 

[1] Department of Biology and Center for Computational Genetics and Genomics, Temple University, 19122, Philadelphia, PA, USA;Department of Molecular Biology, University of Wyoming, 82071, Laramie, WY, USA;Department of Statistics, University of Georgia, 30602, Athens, GA, USA;

关键词: Duplicate gene retention;    Protein complex;    Functional change;    Probabilistic model;    Birth-death process;   

DOI  :  10.1186/s12862-016-0616-1

 received in 2015-11-17, accepted in 2016-02-12,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundDosage balance has been described as an important process for the retention of duplicate genes after whole genome duplication events. However, dosage balance is only a temporary mechanism for duplicate gene retention, as it ceases to function following the stochastic loss of interacting partners, as dosage balance itself is lost with this event. With the prolonged period of retention, on the other hand, there is the potential for the accumulation of substitutions which upon release from dosage balance constraints, can lead to either subsequent neo-functionalization or sub-functionalization. Mechanistic models developed to date for duplicate gene retention treat these processes independently, but do not describe dosage balance as a transition state to eventual functional change.ResultsHere a model for these processes (dosage plus neofunctionalization and dosage plus subfunctionalization) has been built within an existing framework. Because of the computational complexity of these models, a simpler modeling framework that captures the same information is also proposed. This model is integrated into a phylogenetic birth-death model, expanding the range of available models.ConclusionsIncluding further levels of biological reality in methods for gene tree/species tree reconciliation should not only increase the accuracy of estimates of the timing and evolutionary history of genes but can also offer insight into how genes and genomes evolve. These new models add to the tool box for characterizing mechanisms of duplicate gene retention probabilistically.

【 授权许可】

CC BY   
© Teufel et al. 2016

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