Ecology and evolution of Mycobacterium tuberculosis

Tuberculosis (TB) is the number one cause of human death due to an infectious disease. The causative agents of TB are a group of closely related bacteria known as the Mycobacterium tuberculosis complex (MTBC). As the MTBC exhibits a clonal population structure with low DNA sequence diversity, methods (such as multilocus sequence typing) that are applied to more genetically diverse bacteria are uninformative, and much of the ecology and evolution of the MTBC has therefore remained unknown. Owing to recent advances in whole-genome sequencing and analyses of large collections of MTBC clinical isolates from around the world, many new insights have been gained, including a better understanding of the origin of the MTBC as an obligate pathogen and its molecular evolution and population genetic characteristics both within and between hosts, as well as many aspects related to antibiotic resistance. The purpose of this Review is to summarize these recent discoveries and discuss their relevance for developing better tools and strategies to control TB

ESX secretion systems: mycobacterial evolution to counter host immunity

International audienceMycobacterium tuberculosis uses sophisticated secretion systems, named 6 kDa early secretory antigenic target (ESAT6) protein family secretion (ESX) systems (also known as type VII secretion systems), to export a set of effector proteins that helps the pathogen to resist or evade the host immune response. Since the discovery of the esx loci during the M. tuberculosis H37Rv genome project, structural biology, cell biology and evolutionary analyses have advanced our knowledge of the function of these systems. In this Review, we highlight the intriguing roles that these studies have revealed for ESX systems in bacterial survival and pathogenicity during infection with M. tuberculosis. Furthermore, we discuss the diversity of ESX systems that has been described among mycobacteria and selected non-mycobacterial species. Finally, we consider how our knowledge of ESX systems might be applied to the development of novel strategies for the treatment and prevention of disease