Measuring historical and compositional signals in phylogenetic data

Most commonly-used molecular phylogenetic methods assume that the sequences evolved on a single bifurcating tree and that the evolutionary processes operating at the variable sites are Markovian. Typically, it is also assumed that these evolutionary processes were stationary, reversible and homogenous across the edges of the tree and that the multiple substitutions at variable sites occurred so infrequently that the historical signal (i.e., the signal in DNA that is due to the order and time of divergence event) in phylogenetic data has been retained, allowing for accurate phylogenetic estimates to be obtained from the data. Here, we present two metrics,{lambda} and{delta} CFS, to quantify the strength of the historical and compositional signals in phylogenetic data.{lambda} quantifies loss of historical signal, with{lambda} = 0.0 indicating evidence of a strong historical signal and{lambda} = 1.0 indicating evidence of a fully eroded historical signal.{delta} CFS quantifies compositional distance from full symmetry of a divergence matrix generated by comparing two sequences, with{delta} CFS = 0.0 indicating no evidence of evolution under dissimilar conditions and{delta} CFS > 0.0 indicating increasing evidence of lineages diverging under different conditions. The metrics are implemented in methods intended for use after multiple sequence alignment and before model selection and phylogenetic analysis. Results generated using these methods allow users of phylogenetic tools to select phylogenetic data more wisely than it previously was possible. The merits of these metrics and methods are illustrated using simulated data and multi-gene alignments obtained from 144 insect genomes.