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MBE Advance Access originally published online on June 14, 2006
Molecular Biology and Evolution 2006 23(9):1724-1730; doi:10.1093/molbev/msl037
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© 2006 The Authors This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Research Article

A Phylogenetic Method for Detecting Positive Epistasis in Gene Sequences and Its Application to RNA Virus Evolution

Beth Shapiro*, Andrew Rambaut*, Oliver G. Pybus* and Edward C. Holmes{dagger}

* Department of Zoology, Oxford University, Oxford, United Kingdom; and {dagger} Center for Infectious Disease Dynamics, Department of Biology, Mueller Laboratory, The Pennsylvania State University

E-mail: beth.shapiro{at}zoo.ox.ac.uk.

RNA virus genomes are compact, often containing multiple overlapping reading frames and functional secondary structure. Consequently, it is thought that evolutionary interactions between nucleotide sites are commonplace in the genomes of these infectious agents. However, the role of epistasis in natural populations of RNA viruses remains unclear. To investigate the pervasiveness of epistasis in RNA viruses, we used a parsimony-based computational method to identify pairs of co-occurring mutations along phylogenies of 177 RNA virus genes. This analysis revealed widespread evidence for positive epistatic interactions at both synonymous and nonsynonymous nucleotide sites and in both clonal and recombining viruses, with the majority of these interactions spanning very short sequence regions. These findings have important implications for understanding the key aspects of RNA virus evolution, including the dynamics of adaptation. Additionally, many comparative analyses that utilize the phylogenetic relationships among gene sequences assume that mutations represent independent, uncorrelated events. Our results show that this assumption may often be invalid.

Key Words: coevolution • phylogenetics • RNA viruses • viral evolution • epistasis


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