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

Author

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  • 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
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    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. Alice Latinne & Ben Hu & Kevin J. Olival & Guangjian Zhu & Li-Biao Zhang & Hongying Li & Aleksei A. Chmura & Hume E. Field & Carlos Zambrana-Torrelio & Jonathan H. Epstein & Bei Li & Wei Zhang & Lin-F, 2024. "Origin and cross-species transmission of bat coronaviruses in China," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    3. 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.
    4. 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.

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