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Evolutionary distances for protein-coding sequences: modeling site- specific residue frequencies
Authors:Halpern, AL   Bruno, WJ
Affiliation:Los Alamos National Laboratory, New Mexico, USA. ahalpern@ender.unm.edu
Abstract:Estimation of evolutionary distances from coding sequences must take intoaccount protein-level selection to avoid relative underestimation of longerevolutionary distances. Current modeling of selection via site-to-site rateheterogeneity generally neglects another aspect of selection, namelyposition-specific amino acid frequencies. These frequencies determine themaximum dissimilarity expected for highly diverged but functionally andstructurally conserved sequences, and hence are crucial for estimating longdistances. We introduce a codon- level model of coding sequence evolutionin which position-specific amino acid frequencies are free parameters. Inour implementation, these are estimated from an alignment using methodsdescribed previously. We use simulations to demonstrate the importance andfeasibility of modeling such behavior; our model produces linear distanceestimates over a wide range of distances, while several alternative modelsunderestimate long distances relative to short distances. Site-to-sitedifferences in rates, as well as synonymous/nonsynonymous andfirst/second/third-codon-position differences, arise as a naturalconsequence of the site-to-site differences in amino acid frequencies.
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