Observations of Amino Acid Gain and Loss During Protein Evolution are Explained by Statistical Bias. Export

@article{citeulike:695075, abstract = {The authors of a recent manuscript in Nature claim to have discovered 'universal trends' of amino acid gain and loss in protein evolution. Here, we show that this 'universal trend' can be simply explained by a bias that is unavoidable with the three-taxon trees used in the original analysis. We demonstrate that a rigorously reversible equilibrium model, when analyzed with the same methods as the Nature manuscript, yields identical (and in this case, clearly erroneous) conclusions. A main source of the bias is the division of the sequence data into 'informative' and 'non-informative' sites, which favors the observation of certain transitions.}, address = {Mathematical Biology, National Institute of Medical Research, Mill Hill, London, NW7 1AA, UK.}, author = {Goldstein, Richard A A. and Pollock, David D D.}, citeulike-article-id = {695075}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/16698770}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=16698770}, day = {11}, issn = {0737-4038}, journal = {Mol Biol Evol}, keywords = {acid, amino, evolution, rate}, month = {May}, posted-at = {2006-06-13 18:55:46}, priority = {2}, title = {Observations of Amino Acid Gain and Loss During Protein Evolution are Explained by Statistical Bias.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/16698770}, year = {2006} }

TY - JOUR ID - citeulike:695075 L3 - citeulike-article-id:695075 N2 - The authors of a recent manuscript in Nature claim to have discovered 'universal trends' of amino acid gain and loss in protein evolution. Here, we show that this 'universal trend' can be simply explained by a bias that is unavoidable with the three-taxon trees used in the original analysis. We demonstrate that a rigorously reversible equilibrium model, when analyzed with the same methods as the Nature manuscript, yields identical (and in this case, clearly erroneous) conclusions. A main source of the bias is the division of the sequence data into 'informative' and 'non-informative' sites, which favors the observation of certain transitions. JF - Mol Biol Evol SN - 0737-4038 AD - Mathematical Biology, National Institute of Medical Research, Mill Hill, London, NW7 1AA, UK. TI - Observations of Amino Acid Gain and Loss During Protein Evolution are Explained by Statistical Bias. KW - acid KW - amino KW - evolution KW - rate AU - Goldstein, Richard A AU - Pollock, David D PY - 2006/05/11/ UR - http://view.ncbi.nlm.nih.gov/pubmed/16698770 ER -