ArticleEpidemics2016
Use of bacterial whole-genome sequencing to investigate local persistence and spread in bovine tuberculosis.
Article in Epidemics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Whole-genome sequencing reveals genetic diversity and transmission dynamics ofMicrobial genomics · 2026Article
- Integrating whole-genome sequencing and epidemiology to characterise Mycobacterium bovis transmission in Ireland: a proof of concept.Irish veterinary journal · 2025Article
- M. caprae in northern Italy: a comprehensive analysis through whole-genome sequencing on the genetic variability in bovine herds.Veterinary research · 2025Article
- Enhanced analysis of the genomic diversity ofFrontiers in microbiology · 2025Article
- Long-Term Residual Infection as a Source of Bovine Tuberculosis Reemergence: A Phylogenetic and Epidemiological Investigation of Recurrent Outbreaks.Transboundary and emerging diseases · 2025Article
- Population structure and history ofMicrobiology spectrum · 2024Article
- Rescue ofInternational journal of molecular sciences · 2024Article
- InsideFrontiers in microbiology · 2024Article
- Badger Ecology, Bovine Tuberculosis, and Population Management: Lessons from the Island of Ireland.Transboundary and emerging diseases · 2024Review
- Genomic epidemiology sheds light on the emergence and spread ofEmerging microbes & infections · 2023Article
- Whole genome sequencing ofFrontiers in microbiology · 2023Article
- Mycobacterium bovis and M. caprae in Bulgaria: insight into transmission and phylogeography gained through whole-genome sequencing.BMC veterinary research · 2022Article
- A Bayesian evolutionary model towards understanding wildlife contribution to F4-family Mycobacterium bovis transmission in the South-West of France.Veterinary research · 2022Article
- Use of Whole-Genome Sequencing to Unravel the Genetic Diversity of a PrevalentFrontiers in microbiology · 2022Article
- Inferring Mycobacterium bovis transmission between cattle and badgers using isolates from the Randomised Badger Culling Trial.PLoS pathogens · 2021Article
- Whole Genome Sequencing in the Management of Non-Tuberculous Mycobacterial Infections.Microorganisms · 2021Review
- Whole-Genome SNP Analysis Identifies PutativeMicroorganisms · 2021Article
- Whole Genome Sequencing Refines Knowledge on the Population Structure ofMicroorganisms · 2021Article
- A new phylodynamic model of Mycobacterium bovis transmission in a multi-host system uncovers the role of the unobserved reservoir.PLoS computational biology · 2021Article
- Genomic and temporal analyses ofMicrobial genomics · 2021Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Mycobacterium bovis is the causal agent of bovine tuberculosis, one of the most important diseases currently facing the UK cattle industry. Here, we use high-density whole genome sequencing (WGS) in a defined sub-population of M. bovis in 145 cattle across 66 herd breakdowns to gain insights into local spread and persistence. We show that despite low divergence among isolates, WGS can in principle expose contributions of under-sampled host populations to M. bovis transmission. However, we demonstrate that in our data such a signal is due to molecular type switching, which had been previously undocumented for M. bovis. Isolates from farms with a known history of direct cattle movement between them did not show a statistical signal of higher genetic similarity. Despite an overall signal of genetic isolation by distance, genetic distances also showed no apparent relationship with spatial distance among affected farms over distances <5 km. Using simulations, we find that even over the brief evolutionary timescale covered by our data, Bayesian phylogeographic approaches are feasible. Applying such approaches showed that M. bovis dispersal in this system is heterogeneous but slow overall, averaging 2 km/year. These results confirm that widespread application of WGS to M. bovis will bring novel and important insights into the dynamics of M. bovis spread and persistence, but that the current questions most pertinent to control will be best addressed using approaches that more directly integrate WGS with additional epidemiological data.
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