A chemical-genetic map of the pathways controlling drug potency in Mycobacterium tuberculosis
Mycobacterium tuberculosis infection is notoriously difficult to treat. To define the bacterial determinants that limit treatment efficacy, we developed a CRISPRi chemical genetics platform to titrate the expression of nearly all Mtb genes and quantify bacterial fitness in the presence of different drugs. Mining this dataset, we discovered diverse mechanisms of intrinsic drug resistance, unveiling hundreds of potential targets for synergistic drug combinations. Combining our data with comparative genomics of Mtb clinical isolates, we further identified new mechanisms of acquired drug resistance, one of which is associated with the emergence of a multidrug-resistant tuberculosis (TB) outbreak in South America. Lastly, we make the unexpected discovery of loss-of-function mutations in the intrinsic resistance factor whiB7 in an entire Mtb sublineage endemic to Southeast Asia, presenting an opportunity to repurpose macrolides to treat TB. This chemical-genetic map provides a rich resource to understand drug efficacy and guide future TB drug development and treatment.