Mycobacterium tuberculosis strains of the Beijing lineage are globally distributed and are associated with the massive spread of multidrug-resistant (MDR) tuberculosis in Eurasia. Here we reconstructed the biogeographical structure and evolutionary history of this lineage by genetic analysis of 4,987 isolates from 99 countries and whole-genome sequencing of 110 representative isolates. We show that this lineage initially originated in the Far East, from where it radiated worldwide in several waves. We detected successive increases in population size for this pathogen over the last 200 years, practically coinciding with the Industrial Revolution, the First World War and HIV epidemics. Two MDR clones of this lineage started to spread throughout central Asia and Russia concomitantly with the collapse of the public health system in the former Soviet Union. Mutations identified in genes putatively under positive selection and associated with virulence might have favored the expansion of the most successful branches of the lineage.
Summary The lipidic envelope of Mycobacterium tuberculosis promotes virulence in many ways, so we developed a lipidomics platform for broad survey of cell walls. Here we report two new databases (MycoMass, MycoMap), 30 lipid fine maps and mass spectrometry datasets that comprise a static lipidome. Further, by rapidly regenerating lipidomic datasets during biological processes, comparative lipidomics provides statistically valid, organism-wide comparisons that broadly assess lipid changes during infection or among clinical strains of mycobacteria. Using stringent data filters, we tracked more than 5,000 molecular features in parallel with few or no false positive molecular discoveries. The low error rates allowed the first chemotaxonomic analyses of mycobacteria, which describe the extent of chemical change in each strain and identified particular strain-specific molecules for use as biomarkers.
Rapidly growing mycobacteria (RGM) are ubiquitous organisms increasingly emerging as important human pathogens. Mycobacterium abscessus is commonly associated with wound infections and abscess formation and is the most frequent RGM causing chronic lung disease, often in immunocompromised patients (15,22,24). M. abscessus is also notable for its resistance to treatment and the poor clinical outcome of infection with the organism (22, 24). Within the past decade, two new species of mycobacteria closely related to M. abscessus, M. massiliense and M. bolletii, have been described (1, 3). Information on the pathogenic role of M. massiliense and M. bolletii is still scant. Recent reports have described the isolation of M. massiliense from two patients in the United States (29) and one patient in Italy (35) and, lately, the identification of M. massiliense and M. bolletii among South Korean isolates (18). Both M. massiliense and M. bolletii have also been linked to health care-associated outbreaks (8,19,37).The species-level identification of RGM can provide the first indication of antibiotic susceptibility and can suggest the appropriate type of patient management. For example, M. abscessus is more resistant to many antibiotics both in vivo and in vitro than M. fortuitum and M. mucogenicum, but it is usually susceptible to amikacin and clarithromycin (6,15,24). M. massiliense was originally reported to be distinguishable from M. abscessus and related species by its susceptibility to doxycycline (3); however, resistant isolates have since been described (19, 37), suggesting that antibiotic susceptibility results may not reliably differentiate among these closely related species. Although 16S rRNA gene sequencing has been used for the identification of nontuberculous mycobacteria (NTM), including RGM, it has limited value in distinguishing among some closely related species (9,14). Therefore, the use of several other gene targets for the identification of mycobacteria has been proposed (2,5,11,23,25,31,32,39,41). Discrimination among M. abscessus, M. massiliense, and M. bolletii (which have identical 16S rRNA gene sequences) has proven to be difficult, with sequencing of different gene targets often providing conflicting results. Among these gene targets, partial sequencing of rpoB has increasingly been used (1,19,29,37).Genotypic analysis of NTM has proven useful not only in the investigation of outbreaks and pseudo-outbreaks (38) but also in characterizing the molecular epidemiology of strains, and in * Corresponding author. Mailing address:
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