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Site-Specific Evolutionary Rate Inference: Taking Phylogenetic Uncertainty into Account
Authors:Itay Mayrose  Amir Mitchell  Tal Pupko
Institution:(1) Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Ramat Aviv, 69978, Israel;(2) Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 76100, Israel
Abstract:The evolutionary rate at an amino acid site is indicative of how conserved this site is and, in turn, allows evaluating the importance of this site in maintaining the structure/function of the protein. When evolutionary rates are estimated, one must reconstruct the phylogenetic tree describing the evolutionary relationship among the sequences under study. However, if the inferred phylogenetic tree is incorrect, it can lead to erroneous site-specific rate estimates. Here we describe a novel Bayesian method that uses Markov chain Monte Carlo methodology to integrate over the space of all possible trees and model parameters. By doing so, the method considers alternative evolutionary scenarios weighted by their posterior probabilities. We show that this comprehensive evolutionary approach is superior over methods that are based on only a single tree. We illustrate the potential of our algorithm by analyzing the conservation pattern of the potassium channel protein family.Itay Mayrose, Amir Mitchell contributed equal. Reviewing Editor : Dr. Nicolas Galtier
Keywords:Rate variation among sites  Evolutionary conservation  MCMC  Potassium channel
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