Lineage specific histories of Mycobacterium tuberculosis dispersal in Africa and Eurasia. Issue 13 (9th July 2019)

• Record Type: Journal Article
• Authors: O'Neill, Mary B.; Shockey, Abigail; Zarley, Alex; Aylward, William; Eldholm, Vegard; Kitchen, Andrew; Pepperell, Caitlin S.
• Is Part Of: Molecular ecology. Volume 28:Issue 13(2019)
• Page Start: 3241
• Page End: 3256
• Publication Date: 2019-07-09
• Subjects: bacteria -- landscape genetics -- molecular evolution -- phylogeography -- population dynamics -- population genetics ‐ empirical; Molecular ecology -- Periodicals; Molecular population biology -- Periodicals; 576
• DOI: 10.1111/mec.15120
• Languages: English
• ISSNs: 0962-1083

Abstract

Abstract: Mycobacterium tuberculosis ( M.tb ) is a globally distributed, obligate pathogen of humans that can be divided into seven clearly defined lineages. An emerging consensus places the origin and global dispersal of M.tb within the past 6, 000 years: identifying how the ancestral clone of M.tb spread and differentiated within this timeframe is important for identifying the ecological drivers of the current pandemic. We used Bayesian phylogeographic inference to reconstruct the migratory history of M.tb in Africa and Eurasia and to investigate lineage specific patterns of spread from a geographically diverse sample of 552 M.tb genomes. Applying evolutionary rates inferred with ancient M.tb genome calibration, we estimated the timing of major events in the migratory history of the pathogen. Inferred timings contextualize M.tb dispersal within historical phenomena that altered patterns of connectivity throughout Africa and Eurasia: trans‐Indian Ocean trade in spices and other goods, the Silk Road and its predecessors, the expansion of the Roman Empire, and the European Age of Exploration. We found that Eastern Africa and Southeast Asia have been critical in the dispersal of M.tb . Our results further reveal that M.tb populations have grown through range expansion, as well as in situ, and delineate the independent evolutionary trajectories of bacterial subpopulations underlying the current pandemic.