Rossi, Gianluigi, Crispell, Joseph, Brough, Tanis et al. (11 more authors) (2021) Phylodynamic analysis of an emergent Mycobacterium bovis outbreak in an area with no previously known wildlife infections. Journal of Applied Ecology. ISSN 0021-8901
Abstract
1. Understanding how an emergent pathogen successfully establishes itself and persists in a previously unaffected population is a crucial problem in disease ecology, with important implications for disease management. In multi-host pathogen systems this problem is particularly difficult, as the importance of each host species to transmission is often poorly characterised, and the disease epidemiology is complex. Opportunities to observe and analyse such emergent scenarios are few. 2. Here, we exploit a unique dataset combining densely-collected data on the epidemiological and evolutionary characteristics of an outbreak of Mycobacterium bovis (the causative agent of bovine tuberculosis, bTB) in a population of cattle and badgers in an area considered low-risk for bTB, with no previous record of either persistent infection in cattle, or of any infection in wildlife. We analyse the outbreak dynamics using a combination of mathematical modelling, Bayesian evolutionary analyses, and machine learning. 3. Comparison to M. bovis whole-genome sequences from Northern Ireland confirmed this to be a single introduction of the pathogen from the latter region, with evolutionary analysis supporting an introduction directly into the local cattle population six years prior to its first discovery in badgers. 4. Once introduced, the evidence supports M. bovis epidemiological dynamics passing through two phases, the first dominated by cattle-to-cattle transmission before becoming established in the local badger population. 5. Synthesis and applications. The raw data object of this analysis were used to support decisions regarding the control of a M. bovis emergent outbreak, of considerable concern because of the geographical distance from previously known high-risk areas. Our further analyses, estimating the time of introduction (and therefore the likely magnitude of any hidden outbreak) and the rates of cross-species transmission, provided valuable confirmation that the extent and focus of the imposed controls were appropriate. Not only these findings strengthen the call for genomic surveillance, but they also pave the path for future outbreaks control, providing insights for more rapid and decisive evidence-based decision-making. As the methods we used and developed are agnostic to the disease itself, they are also valuable for other slowly transmitting pathogens.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Environment and Geography (York) The University of York > Faculty of Social Sciences (York) > Social Policy and Social Work (York) > York Environmental Sustainability Institute |
Depositing User: | Pure (York) |
Date Deposited: | 20 Sep 2021 14:40 |
Last Modified: | 16 Oct 2024 17:52 |
Published Version: | https://doi.org/10.1111/1365-2664.14046 |
Status: | Published online |
Refereed: | Yes |
Identification Number: | 10.1111/1365-2664.14046 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178353 |
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Filename: 1365_2664.14046.pdf
Description: Phylodynamic analysis of an emergent Mycobacterium bovis outbreak in an area with no previously known wildlife infections
Licence: CC-BY 2.5