Genomic epidemiology of Mycobacterium bovis infection in sympatric badger and cattle populations in Northern Ireland

Author:

Akhmetova Assel1,Guerrero Jimena2,McAdam Paul3,Salvador Liliana C. M.4567,Crispell Joseph8,Lavery John9,Presho Eleanor10,Kao Rowland R.11,Biek Roman1,Menzies Fraser12,Trimble Nigel12,Harwood Roland12,Pepler P. Theo1,Oravcova Katarina1,Graham Jordon13,Skuce Robin10,du Plessis Louis1415,Thompson Suzan10,Wright Lorraine10,Byrne Andrew W.1610,Allen Adrian R.10ORCID

Affiliation:

1. University of Glasgow, Glasgow, UK

2. Hospital Juarez de Mexico, Mexico City, Mexico

3. Fios Genomics, Edinburgh, UK

4. Institute of Bioinformatics, University of Georgia, Athens, GA, USA

5. Present address: School of Animal and Comparative Biomedical Sciences, University of Arizona, AZ, Tucson, USA

6. Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA

7. Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA

8. Foreign Commonwealth and Development Office, Glasgow, UK

9. Department for the Economy, Belfast, UK

10. Agrifood and Biosciences Institute, Belfast, UK

11. University of Edinburgh, Roslin Institute, Edinburgh, UK

12. Department of Agriculture, Environment and Rural Affairs (DAERA), Belfast, UK

13. Farmvet Systems Ltd, Moneymore, UK

14. Swiss Institute of Bioinformatics, Lausanne, Switzerland

15. Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland

16. Department of Agriculture Food and the Marine (DAFM), Dublin, Ireland

Abstract

Bovine tuberculosis (bTB) is a costly, epidemiologically complex, multi-host, endemic disease. Lack of understanding of transmission dynamics may undermine eradication efforts. Pathogen whole-genome sequencing improves epidemiological inferences, providing a means to determine the relative importance of inter- and intra-species host transmission for disease persistence. We sequenced an exceptional data set of 619 Mycobacterium bovis isolates from badgers and cattle in a 100 km2 bTB ‘hotspot’ in Northern Ireland. Historical molecular subtyping data permitted the targeting of an endemic pathogen lineage, whose long-term persistence provided a unique opportunity to study disease transmission dynamics in unparalleled detail. Additionally, to assess whether badger population genetic structure was associated with the spatial distribution of pathogen genetic diversity, we microsatellite genotyped hair samples from 769 badgers trapped in this area. Birth death models and TransPhylo analyses indicated that cattle were likely driving the local epidemic, with transmission from cattle to badgers being more common than badger to cattle. Furthermore, the presence of significant badger population genetic structure in the landscape was not associated with the spatial distribution of M. bovis genetic diversity, suggesting that badger-to-badger transmission is not playing a major role in transmission dynamics. Our data were consistent with badgers playing a smaller role in transmission of M. bovis infection in this study site, compared to cattle. We hypothesize, however, that this minor role may still be important for persistence. Comparison to other areas suggests that M. bovis transmission dynamics are likely to be context dependent, with the role of wildlife being difficult to generalize.

Funder

Department of Agriculture, Environment and Rural Affairs, UK Government

Biotechnology and Biological Sciences Research Council

Publisher

Microbiology Society

Subject

General Medicine

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