Integrated multi-omics reveals coordinated Staphylococcus aureus metabolic, iron transport, and stress responses to human serum

Abstract

Bloodstream infections caused by Staphylococcus aureus remain a leading cause of mortality worldwide. Our understanding of S. aureus survival and persistence in human serum, a cell-free fraction of blood hostile for bacteria, is still limited. Here, we applied multivariate data integration methods and network analysis to a multi-omic data set generated from five clinically prevalent S. aureus genotypes exposed to human serum. We observed, and then confrmed using isogenic mutants the signifcant roles of gapdhB, sucA, sirA, sstD, and perR in bacterial survival in serum. These data show that metabolic versatility in carbon source usage, iron transport, and resistance to oxidative stress is inte..