IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v7y2016i1d10.1038_ncomms11448.html
   My bibliography  Save this article

Genomics reveals historic and contemporary transmission dynamics of a bacterial disease among wildlife and livestock

Author

Listed:
  • Pauline L. Kamath

    (U.S. Geological Survey, Northern Rocky Mountain Science Center)

  • Jeffrey T. Foster

    (Center for Microbial Genetics and Genomics, Northern Arizona University
    Present address: Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire 03824, USA.)

  • Kevin P. Drees

    (Center for Microbial Genetics and Genomics, Northern Arizona University
    Present address: Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, New Hampshire 03824, USA.)

  • Gordon Luikart

    (Flathead Lake Biological Station, University of Montana)

  • Christine Quance

    (USDA-APHIS, National Veterinary Services Laboratories)

  • Neil J. Anderson

    (Montana Fish Wildlife and Parks)

  • P. Ryan Clarke

    (USDA-APHIS, Veterinary Services)

  • Eric K. Cole

    (USFWS, National Elk Refuge)

  • Mark L. Drew

    (Wildlife Health Laboratory)

  • William H. Edwards

    (Wyoming Game and Fish Department)

  • Jack C. Rhyan

    (USDA-APHIS, Veterinary Services)

  • John J. Treanor

    (National Park Service, Yellowstone National Park)

  • Rick L. Wallen

    (National Park Service, Yellowstone National Park)

  • Patrick J. White

    (National Park Service, Yellowstone National Park)

  • Suelee Robbe-Austerman

    (USDA-APHIS, National Veterinary Services Laboratories)

  • Paul C. Cross

    (U.S. Geological Survey, Northern Rocky Mountain Science Center)

Abstract

Whole-genome sequencing has provided fundamental insights into infectious disease epidemiology, but has rarely been used for examining transmission dynamics of a bacterial pathogen in wildlife. In the Greater Yellowstone Ecosystem (GYE), outbreaks of brucellosis have increased in cattle along with rising seroprevalence in elk. Here we use a genomic approach to examine Brucella abortus evolution, cross-species transmission and spatial spread in the GYE. We find that brucellosis was introduced into wildlife in this region at least five times. The diffusion rate varies among Brucella lineages (∼3 to 8 km per year) and over time. We also estimate 12 host transitions from bison to elk, and 5 from elk to bison. Our results support the notion that free-ranging elk are currently a self-sustaining brucellosis reservoir and the source of livestock infections, and that control measures in bison are unlikely to affect the dynamics of unrelated strains circulating in nearby elk populations.

Suggested Citation

  • Pauline L. Kamath & Jeffrey T. Foster & Kevin P. Drees & Gordon Luikart & Christine Quance & Neil J. Anderson & P. Ryan Clarke & Eric K. Cole & Mark L. Drew & William H. Edwards & Jack C. Rhyan & John, 2016. "Genomics reveals historic and contemporary transmission dynamics of a bacterial disease among wildlife and livestock," Nature Communications, Nature, vol. 7(1), pages 1-10, September.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11448
    DOI: 10.1038/ncomms11448
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms11448
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/ncomms11448?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sahar Zarmehri & Ephraim M. Hanks & Lin Lin, 2021. "A Sample Covariance-Based Approach For Spatial Binary Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(2), pages 220-249, June.
    2. Angela Brennan & Paul C Cross & Katie Portacci & Brandon M Scurlock & William H Edwards, 2017. "Shifting brucellosis risk in livestock coincides with spreading seroprevalence in elk," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-16, June.
    3. Dhanushi A. Wijeyakulasuriya & Ephraim M. Hanks & Benjamin A. Shaby & Paul C. Cross, 2019. "Extreme Value-Based Methods for Modeling Elk Yearly Movements," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(1), pages 73-91, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11448. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.