Combining genomics and epidemiology to analyse bi-directional transmission of Mycobacterium bovis in a multi-host system

Crispell, J. et al. (2019) Combining genomics and epidemiology to analyse bi-directional transmission of Mycobacterium bovis in a multi-host system. eLife, 8, e45833. (doi: 10.7554/elife.45833) (PMID:31843054) (PMCID:PMC6917503)

[img]
Preview
Text
206218.pdf - Published Version
Available under License Creative Commons Attribution.

8MB

Abstract

Quantifying pathogen transmission in multi-host systems is difficult, as exemplified in bovine tuberculosis (bTB) systems, but is crucial for control. The agent of bTB, Mycobacterium bovis, persists in cattle populations worldwide, often where potential wildlife reservoirs exist. However, the relative contribution of different host species to bTB persistence is generally unknown. In Britain, the role of badgers in infection persistence in cattle is highly contentious, despite decades of research and control efforts. We applied Bayesian phylogenetic and machine-learning approaches to bacterial genome data to quantify the roles of badgers and cattle in M. bovis infection dynamics in the presence of data biases. Our results suggest that transmission occurs more frequently from badgers to cattle than vice versa (10.4x in the most likely model) and that within-species transmission occurs at higher rates than between-species transmission for both. If representative, our results suggest that control operations should target both cattle and badgers.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Trewby, Dr Hannah and Allen, Dr Adrian and Kao, Professor Rowland and Skuce, Professor Robin and Lycett, Dr Samantha and Biek, Professor Roman and Balaz, Dr Daniel and Zadoks, Professor Ruth and Crispell, Mr Joseph
Creator Roles:
Crispell, J.Formal analysis, Visualization, Methodology, Writing – original draft, Writing – review and editing
Trewby, H.Data curation, Writing – review and editing
Balaz, D.Methodology, Writing – review and editing
Biek, R.Methodology, Writing – review and editing
Lycett, S. J.Methodology, Writing – review and editing
Allen, A.Data curation, Writing – review and editing
Skuce, R. A.Data curation, Writing – review and editing
Zadoks, R. N.Supervision, Methodology, Writing – review and editing
Kao, R. R.Conceptualization, Data curation, Supervision, Funding acquisition, Methodology, Writing – review and editing
Authors: Crispell, J., Benton, C. H., Balaz, D., De Maio, N., Ahkmetova, A., Allen, A., Biek, R., Presho, E. L., Dale, J., Hewinson, G., Lycett, S. J., Nunez-Garcia, J., Skuce, R. A., Trewby, H., Wilson, D. J., Zadoks, R. N., Delahay, R. J., and Kao, R. R.
College/School:College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
Journal Name:eLife
Publisher:eLife Sciences Publications
ISSN:2050-084X
ISSN (Online):2050-084X
Copyright Holders:Copyright © 2019 Crispell et al.
First Published:First published in eLife 8: e45833
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
190730Joint estimation of epidemiological and genetic processes for Mycobacterium bovis transmission dynamics in cattle and badgersRowland KaoBiotechnology and Biological Sciences Research Council (BBSRC)BB/L010569/1Institute of Biodiversity, Animal Health and Comparative Medicine
142227An integrated approach to modelling the persistance, spread and control of livestock diseases in the UKRowland KaoWellcome Trust (WELLCOTR)081696/Z/06/ZInstitute of Biodiversity, Animal Health and Comparative Medicine