Quantifying bacterial recombination within globally evolving streptococcal pathogens

Summary Over the past decade, we have compiled a large database (>2000 genomes) of Group A Streptococcus (GAS) genomes from around the world. By taking advantage of our unique genome databases, this project will use the latest population genomic tools and advanced Bayesian statistical (ABC) interference methods to quantify and model the role that recombination plays in maintaining GAS strain diversity within a global context.

Project Details

High strain prevalence and extensive genetic diversity are key features of bacterial pathogens such as the Group A Streptococcus (GAS) that cause endemic disease in low-income settings throughout the world. Strain diversity and prevalence are likely associated, but the genetic mechanisms that underpin the maintenance of high strain diversity observed within streptococcal endemic settings remain poorly understood. Over the past decade, we have compiled a large database (>2000 genomes) of GAS genomes from around the world. Our preliminary investigations suggest that genomic recombination occurs much more frequently than previously appreciated, especially within disease endemic settings. By taking advantage of our unique genome databases, this project will use the latest population genomic tools and advanced Bayesian statistical (ABC) interference methods to quantify and model the role that recombination plays in maintaining GAS strain diversity within a global context.