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      Lineage specific histories of Mycobacterium tuberculosis dispersal in Africa and Eurasia

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          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.

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          Comparative genomics of BCG vaccines by whole-genome DNA microarray.

          Bacille Calmette-Guérin (BCG) vaccines are live attenuated strains of Mycobacterium bovis administered to prevent tuberculosis. To better understand the differences between M. tuberculosis, M. bovis, and the various BCG daughter strains, their genomic compositions were studied by performing comparative hybridization experiments on a DNA microarray. Regions deleted from BCG vaccines relative to the virulent M. tuberculosis H37Rv reference strain were confirmed by sequencing across the missing segment of the H37Rv genome. Eleven regions (encompassing 91 open reading frames) of H37Rv were found that were absent from one or more virulent strains of M. bovis. Five additional regions representing 38 open reading frames were present in M. bovis but absent from some or all BCG strains; this is evidence for the ongoing evolution of BCG strains since their original derivation. A precise understanding of the genetic differences between closely related Mycobacteria suggests rational approaches to the design of improved diagnostics and vaccines.
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            SITVITWEB--a publicly available international multimarker database for studying Mycobacterium tuberculosis genetic diversity and molecular epidemiology.

            Among various genotyping methods to study Mycobacterium tuberculosis complex (MTC) genotypic polymorphism, spoligotyping and mycobacterial interspersed repetitive units-variable number of DNA tandem repeats (MIRU-VNTRs) have recently gained international approval as robust, fast, and reproducible typing methods generating data in a portable format. Spoligotyping constituted the backbone of a publicly available database SpolDB4 released in 2006; nonetheless this method possesses a low discriminatory power when used alone and should be ideally used in conjunction with a second typing method such as MIRU-VNTRs for high-resolution epidemiological studies. We hereby describe a publicly available international database named SITVITWEB which incorporates such multimarker data allowing to have a global vision of MTC genetic diversity worldwide based on 62,582 clinical isolates corresponding to 153 countries of patient origin (105 countries of isolation). We report a total of 7105 spoligotype patterns (corresponding to 58,180 clinical isolates) - grouped into 2740 shared-types or spoligotype international types (SIT) containing 53,816 clinical isolates and 4364 orphan patterns. Interestingly, only 7% of the MTC isolates worldwide were orphans whereas more than half of SITed isolates (n=27,059) were restricted to only 24 most prevalent SITs. The database also contains a total of 2379 MIRU patterns (from 8161 clinical isolates) from 87 countries of patient origin (35 countries of isolation); these were grouped in 847 shared-types or MIRU international types (MIT) containing 6626 isolates and 1533 orphan patterns. Lastly, data on 5-locus exact tandem repeats (ETRs) were available on 4626 isolates from 59 countries of patient origin (22 countries of isolation); a total of 458 different VNTR patterns were observed - split into 245 shared-types or VNTR International Types (VIT) containing 4413 isolates) and 213 orphan patterns. Datamining of SITVITWEB further allowed to update rules defining MTC genotypic lineages as well to have a new insight into MTC population structure and worldwide distribution at country, sub-regional and continental levels. At evolutionary level, the data compiled may be useful to distinguish the occasional convergent evolution of genotypes versus specific evolution of sublineages essentially influenced by adaptation to the host. This database is publicly available at: http://www.pasteur-guadeloupe.fr:8081/SITVIT_ONLINE. Copyright © 2012 Elsevier B.V. All rights reserved.
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              Progression to active tuberculosis, but not transmission, varies by Mycobacterium tuberculosis lineage in The Gambia.

              There is considerable variability in the outcome of Mycobacterium tuberculosis infection. We hypothesized that Mycobacterium africanum was less likely than M. tuberculosis to transmit and progress to tuberculosis disease. In a cohort study of patients with tuberculosis and their household contacts in The Gambia, we categorized 1808 HIV-negative tuberculosis contacts according to exposure to M. tuberculosis or M. africanum. Positive skin test results indicated transmission, and development of tuberculosis during 2 years of follow-up indicated progression to disease. Transmission rates were similar, but rates of progression to disease were significantly lower in contacts exposed to M. africanum than in those exposed to M. tuberculosis (1.0% vs. 2.9%; hazard ratio [HR], 3.1 [95% confidence interval {CI}, 1.1-8.7]). Within M. tuberculosis sensu stricto, contacts exposed to a Beijing family strain were most likely to progress to disease (5.6%; HR relative to M. africanum, 6.7 [95% CI, 2.0-22]). M. africanum and M. tuberculosis transmit equally well to household contacts, but contacts exposed to M. africanum are less likely to progress to tuberculosis disease than those exposed to M. tuberculosis. The variable rate of progression by lineage suggests that tuberculosis variability matters in clinical settings and should be accounted for in studies evaluating tuberculosis vaccines and treatment regimens for latent tuberculosis infection.
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                Author and article information

                Contributors
                cspepper@medicine.wisc.edu
                Journal
                Mol Ecol
                Mol. Ecol
                10.1111/(ISSN)1365-294X
                MEC
                Molecular Ecology
                John Wiley and Sons Inc. (Hoboken )
                0962-1083
                1365-294X
                09 July 2019
                July 2019
                : 28
                : 13 ( doiID: 10.1111/mec.v28.13 )
                : 3241-3256
                Affiliations
                [ 1 ] Laboratory of Genetics University of Wisconsin‐Madison Madison WI USA
                [ 2 ] Department of Medical Microbiology and Immunology University of Wisconsin‐Madison Madison WI USA
                [ 3 ] Department of Geography University of Wisconsin‐Madison Madison WI USA
                [ 4 ] Department of Classical and Ancient Near Eastern Studies University of Wisconsin‐Madison Madison WI USA
                [ 5 ] Infection Control and Environmental Health Norwegian Institute of Public Health Oslo Norway
                [ 6 ] Department of Anthropology University of Iowa Iowa City IA USA
                [ 7 ] Department of Medicine University of Wisconsin‐Madison Madison WI USA
                [ 8 ]Present address: Unit of Human Evolutionary Genetics Institut Pasteur Paris France
                Author notes
                [*] [* ] Correspondence

                Caitlin S. Pepperell, Department of Medicine (Infectious Diseases), Department of Medical Microbiology and Immunology, School of Medicine and Public Health, University of Wisconsin‐Madison, 1550 Linden Drive, 5301 Microbial Sciences Building, Madison, WI, USA.

                Email: cspepper@ 123456medicine.wisc.edu

                Author information
                https://orcid.org/0000-0003-3003-495X
                https://orcid.org/0000-0002-6324-1333
                Article
                MEC15120
                10.1111/mec.15120
                6660993
                31066139
                a778f044-8bf5-429d-b932-2797c13f7bb9
                © 2019 The Authors Molecular Ecology Published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 February 2019
                : 18 April 2019
                : 23 April 2019
                Page count
                Figures: 6, Tables: 1, Pages: 16, Words: 13334
                Funding
                Funded by: National Science Foundation Graduate Research Fellowship Program
                Award ID: DGE-1255259
                Funded by: National Institutes of Health
                Award ID: R01AI113287
                Categories
                Original Article
                Original Articles
                Phylogeography
                Custom metadata
                2.0
                mec15120
                July 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.9 mode:remove_FC converted:01.10.2019

                Ecology
                bacteria,landscape genetics,molecular evolution,phylogeography,population dynamics,population genetics ‐ empirical

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