Comparative genome-scale modelling ofStaphylococcus aureusstrains identifies strain-specific metabolic capabilities linked to pathogenicity

Abstract

Staphylococcus aureusis a preeminent bacterial pathogen capable of colonizing diverse ecological niches within its human host. We describe here the pangenome ofS. aureusbased on analysis of genome sequences from 64 strains ofS. aureusspanning a range of ecological niches, host types, and antibiotic resistance profiles. Based on this set,S. aureusis expected to have an open pangenome composed of 7,411 genes and a core genome composed of 1,441 genes. Metabolism was highly conserved in this core genome; however, differences were identified in amino acid and nucleotide biosynthesis pathways between the strains. Genome-scale models (GEMs) of metabolism were constructed for the 64 strains ofS. aureus. These GEMs enabled a systems approach to characterizing the core metabolic and panmetabolic capabilities of theS. aureusspecies. All models were predicted to be auxotrophic for the vitamins niacin (vitamin B3) and thiamin (vitamin B1), whereas strain-specific auxotrophies were predicted for riboflavin (vitamin B2), guanosine, leucine, methionine, and cysteine, among others. GEMs were used to systematically analyze growth capabilities in more than 300 different growth-supporting environments. The results identified metabolic capabilities linked to pathogenic traits and virulence acquisitions. Such traits can be used to differentiate strains responsible for mild vs. severe infections and preference for hosts (e.g., animals vs. humans). Genome-scale analysis of multiple strains of a species can thus be used to identify metabolic determinants of virulence and increase our understanding of why certain strains of this deadly pathogen have spread rapidly throughout the world.