Population genetics of microbial pathogens estimated from multilocus sequence typing (MLST) data.

The inference of population recombination (rho), population mutation (Theta), and adaptive selection is of great interest in microbial population genetics. These parameters can be efficiently estimated using explicit statistical frameworks (evolutionary models) that describe their effect on gene sequences. Within this framework, we estimated rho and Theta using a coalescent approach, and adaptive (or destabilizing) selection under heterogeneous codon-based and amino acid property models in microbial sequences from MLST databases.