BRADFORD SCHOLARS

    • Sign in
    View Item 
    •   Bradford Scholars
    • Life Sciences
    • Life Sciences Publications
    • View Item
    •   Bradford Scholars
    • Life Sciences
    • Life Sciences Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Bradford ScholarsCommunitiesAuthorsTitlesSubjectsPublication DateThis CollectionAuthorsTitlesSubjectsPublication Date

    My Account

    Sign in

    HELP

    Bradford Scholars FAQsCopyright Fact SheetPolicies Fact SheetDeposit Terms and ConditionsDigital Preservation Policy

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Mycobacterium ulcerans Population Genomics to Inform on the Spread of Buruli Ulcer across Central Africa

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    View/Open
    Vandelannoote_BUCentralAfrica_mBio_2019.pdf (3.286Mb)
    Download
    Publication date
    2019-02
    Author
    Vandelannoote, K.
    Phanzy, D.M.
    Kibadi, K.
    Eddyani, M.
    Meehan, Conor J.
    Jordaens, K.
    Leirs, H.
    Portaels, F.
    Stinear, T.P.
    Harris, S.R.
    de Jong, B.C.
    Show allShow less
    Keyword
    Bacterial pathogen transmission
    Buruli ulcer
    Democratic Republic of Congo
    Microbial comparative population genomics
    Molecular evolution
    Phylogeography
    Rights
    (c) 2019 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/)
    Peer-Reviewed
    Yes
    
    Metadata
    Show full item record
    Abstract
    Buruli ulcer is a neglected tropical disease of skin and subcutaneous tissue caused by infection with the pathogen Mycobacterium ulcerans. Many critical issues for disease control, such as understanding the mode of transmission and identifying source reservoirs of M. ulcerans, are still largely unknown. Here, we used genomics to reconstruct in detail the evolutionary trajectory and dynamics of M. ulcerans populations at a central African scale and at smaller geographical village scales. Whole-genome sequencing (WGS) data were analyzed from 179 M. ulcerans strains isolated from all Buruli ulcer foci in the Democratic Republic of the Congo, The Republic of Congo, and Angola that have ever yielded positive M. ulcerans cultures. We used both temporal associations and the study of the mycobacterial demographic history to estimate the contribution of humans as a reservoir in Buruli ulcer transmission. Our phylogeographic analysis revealed one almost exclusively predominant sublineage of M. ulcerans that arose in Central Africa and proliferated in its different regions of endemicity during the Age of Discovery. We observed how the best sampled endemic hot spot, the Songololo territory, became an area of endemicity while the region was being colonized by Belgium (1880s). We furthermore identified temporal parallels between the observed past population fluxes of M. ulcerans from the Songololo territory and the timing of health policy changes toward control of the Buruli ulcer epidemic in that region. These findings suggest that an intervention based on detecting and treating human cases in an area of endemicity might be sufficient to break disease transmission chains, irrespective of other reservoirs of the bacterium.
    URI
    http://hdl.handle.net/10454/17258
    Version
    Published version
    Citation
    Vandelannoote K, Phanzu DM, Kibadi K et al (2019) Mycobacterium ulcerans Population Genomics To Inform on the Spread of Buruli Ulcer across Central Africa. Msphere. 4(1): e00472-18.
    Link to publisher’s version
    https://doi.org/10.1128/mSphere.00472-18
    Type
    Article
    Collections
    Life Sciences Publications

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.