An experimentally informed evolutionary model improves phylogenetic fit to divergent lactamase homologs.

ABSTRACT: Phylogenetic analyses of molecular data require a quantitative model for how sequences evolve. Traditionally, the details of the site-specific selection that governs sequence evolution are not known a priori, making it challenging to create evolutionary models that adequately capture the heterogeneity of selection at different sites. However, recent advances in high-throughput experiments have made it possible to quantify the effects of all single mutations on gene function. I have previously shown that such high-throughput experiments can be combined with knowledge of underlying mutation rates to create a parameter-free evolutionary model that describes the phylogeny of influenza nucleoprotein far better than commonly used existing models. Here, I extend this work by showing that publishe

SUBMITTER: Bloom JD 

PROVIDER: S-EPMC4166927 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature