Bacterial metabolism and pathogenesis intimate intertwining: time for metabolic modelling to come into action

Abstract

Once relegated to the supply of energy and biosynthetic precursors, it is now indubitable that metabolism mediates most of physiological processes. In the context of bacterial–host interactions where virulence is the outcome (commonly termed bacterial pathogenesis) metabolism expands far beyond its canonical role in bacterial proliferation. In addition to all sorts of recognized molecular determinants or virulence factors (toxins, flagella, translocated effectors, adhesins, invasins, etc.), bacterial pathogens are equipped with specific metabolic traits to circumvent immune defenses and antimicrobial killing, thus facilitating colonization and proliferation within their hosts. As the implementation of high-throughput technologies elevates the pathogenesis field to the era of big data, it concurrently creates considerable challenges for our ability to interpret large data sets and identify factors that impact infectious processes. Metabolic modelling is emerging as a powerful tool allowing the integration and coherent organization of large data sets into the context of biological networks providing non-intuitive insights on biological systems that experimental analysis alone cannot provide. Here, we take a snapshot of the recent understanding of bacterial metabolism and the bacterial–host metabolic interplay during infection, and highlight key outcomes and challenges for the practical implementation of bacterial metabolic modelling computational tools in the pathogenesis field (summarized in Fig. 1).