A single determinant dominates the rate of yeast protein evolution. Export

@article{citeulike:373611, abstract = {A gene's rate of sequence evolution is among the most fundamental evolutionary quantities in common use, but what determines evolutionary rates has remained unclear. Here, we carry out the first combined analysis of seven predictors (gene expression level, dispensability, protein abundance, codon adaptation index, gene length, number of protein-protein interactions, and the gene's centrality in the interaction network) previously reported to have independent influences on protein evolutionary rates. Strikingly, our analysis reveals a single dominant variable linked to the number of translation events which explains 40-fold more variation in evolutionary rate than any other, suggesting that protein evolutionary rate has a single major determinant among the seven predictors. The dominant variable explains nearly half the variation in the rate of synonymous and protein evolution. We show that the two most commonly used methods to disentangle the determinants of evolutionary rate, partial correlation analysis and ordinary multivariate regression, produce misleading or spurious results when applied to noisy biological data. We overcome these difficulties by employing principal component regression, a multivariate regression of evolutionary rate against the principal components of the predictor variables. Our results support the hypothesis that translational selection governs the rate of synonymous and protein sequence evolution in yeast.}, address = {Program in Computation and Neural Systems, California Institute of Technology, Pasadena, CA 91125-4100, USA.}, author = {Drummond, D. Allan and Raval, Alpan and Wilke, Claus O.}, citeulike-article-id = {373611}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/molbev/msj038}, citeulike-linkout-1 = {http://mbe.oxfordjournals.org/content/23/2/327.abstract}, citeulike-linkout-2 = {http://mbe.oxfordjournals.org/content/23/2/327.full.pdf}, citeulike-linkout-3 = {http://view.ncbi.nlm.nih.gov/pubmed/16237209}, citeulike-linkout-4 = {http://www.hubmed.org/display.cgi?uids=16237209}, day = {1}, doi = {10.1093/molbev/msj038}, issn = {0737-4038}, journal = {Molecular biology and evolution}, keywords = {expression, kaks, rate, yeast}, month = {February}, number = {2}, pages = {327--337}, posted-at = {2005-10-31 13:38:11}, priority = {4}, title = {A single determinant dominates the rate of yeast protein evolution.}, url = {http://dx.doi.org/10.1093/molbev/msj038}, volume = {23}, year = {2006} }

TY - JOUR ID - citeulike:373611 L3 - citeulike-article-id:373611 N2 - A gene's rate of sequence evolution is among the most fundamental evolutionary quantities in common use, but what determines evolutionary rates has remained unclear. Here, we carry out the first combined analysis of seven predictors (gene expression level, dispensability, protein abundance, codon adaptation index, gene length, number of protein-protein interactions, and the gene's centrality in the interaction network) previously reported to have independent influences on protein evolutionary rates. Strikingly, our analysis reveals a single dominant variable linked to the number of translation events which explains 40-fold more variation in evolutionary rate than any other, suggesting that protein evolutionary rate has a single major determinant among the seven predictors. The dominant variable explains nearly half the variation in the rate of synonymous and protein evolution. We show that the two most commonly used methods to disentangle the determinants of evolutionary rate, partial correlation analysis and ordinary multivariate regression, produce misleading or spurious results when applied to noisy biological data. We overcome these difficulties by employing principal component regression, a multivariate regression of evolutionary rate against the principal components of the predictor variables. Our results support the hypothesis that translational selection governs the rate of synonymous and protein sequence evolution in yeast. IS - 2 JF - Molecular biology and evolution SN - 0737-4038 AD - Program in Computation and Neural Systems, California Institute of Technology, Pasadena, CA 91125-4100, USA. EP - 337 TI - A single determinant dominates the rate of yeast protein evolution. VL - 23 SP - 327 KW - expression KW - kaks KW - rate KW - yeast AU - Drummond, Allan AU - Raval, Alpan AU - Wilke, Claus PY - 2006/02/01/ UR - http://dx.doi.org/10.1093/molbev/msj038 ER -