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

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ID: 74613
2019
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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, , 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 infection dynamics in the presence of data biases. Our results suggest that transmission occurs more frequently from badgers to cattle than (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.
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crispell2019combiningelife Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Crispell, Joseph;Benton, Clare H;Balaz, Daniel;De Maio, Nicola;Ahkmetova, Assel;Allen, Adrian;Biek, Roman;Presho, Eleanor L;Dale, James;Hewinson, Glyn;Lycett, Samantha J;Nunez-Garcia, Javier;Skuce, Robin A;Trewby, Hannah;Wilson, Daniel J;Zadoks, Ruth N;Delahay, Richard J;Kao, Rowland Raymond;
Journal eLife
Year 2019
DOI
10.7554/eLife.45833
URL
Keywords
Microbiology Epidemiology global health cattle whole genome sequencing infectious disease mycobacterium bovis bovine tuberculosis badger

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