Project Overview
Mycobacterium avium subsp. paratuberculosis (MAP) causes Johne’s disease, which is responsible for substantial economic losses in the dairy industry. This research investigated the host genetic and epigenetic variations associated with susceptibility and tolerance to Johne's disease. They also examined the diversity of MAP genetics and the host-pathogen dynamics responsible for disease progression in cows infected with MAP.
What Did the Research Team Do?
Collected samples from 3,300 cows from 22 dairy herds in the provinces of Ontario and Quebec and identified inter-herd transmission patterns using whole-genome-sequencing as an epidemiological tool to validate cow movement as the cause of inter-herd disease transmission.
Collected samples from 67 cows in these 22 herds to look at the variability of MAP strains.
Within four dairy herds, further investigated 14 cows shedding MAP to identify if multiple MAP strains were infecting a single infected animal and if microevolution of MAP was occurring.
Developed a multiplex-PCR test for Johne’s disease with greater sensitivity than the currently available commercial kits.
What Did the Research Team Find?
- Identification of genetic markers associated with the susceptibility of developing Johne’s disease.
- Epigenetic variations associated with susceptibility of Johne's disease.
- Cows can be infected with multiple strains of MAP and the strain of MAP can evolve within the cow.
- MAP strains differ substantially between farms. This variability may explain differences in the severity of Johne’s disease that may be present on farms.
- This information can be used to explain differences observed between the spread of MAP and clinical signs associated with a MAP infection, such as long-lasting diarrhea, progressive weight loss, decreased milk production, and increased culling and mortality.
- Evaluated the efficacy of a new quantitative polymerase chain reaction (qPCR) technology used for detecting MAP infection.
**Scroll down for project communication outputs**
Principal Investigators
Nathalie Bissonnette
Agriculture and Agri-Food Canada (Sherbrooke)
Kapil Tahlan
Memorial University of Newfoundland
Co-Investigators
David Kelton
University of Guelph
Flavio Schenkel
University of Guelph
Eveline Ibeagha-Awemu
AAFC-Sherbrooke
Gilles Fecteau
Université de Montréal
Franck Biet
Institut national de la recherche agronomique - France
Key Words
- Johne’s disease, microevolution, genomic epidemiology, epigenetic variation
Period: 2019-2023
Budget: $1,019,988
Last Updated: January 11, 2024
Note: As per the research agreement, aside from providing financial support, the funders have no decision-making role in the conduct of the studies, data collection, and analysis or interpretation of the data. Researchers are independent in conducting their studies, own their data, and report the outcomes regardless of the results. The decision to publish the results rests entirely with the researchers.
PROJECT COMMUNICATION OUTPUTS
INFOGRAPHIC
DOWNLOADPROJECT PUBLICATIONS
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Bissonnette, N., J.-P. Brousseau, S. Ollier, A.S. Byrne, E.M. Ibeagha-Awemu, K. Tahlan. 2024. Systematic assessment of the reliability of quantitative PCR assays targeting IS900 for the detection of Mycobacterium avium ssp. paratuberculosis presence in animal and environmental samples. J. Dairy Sci. https://doi.org/10.3168/jds.2023-24566
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Byrne, A., S. Ollier, K. Tahlan, F. Biet, N. Bissonnette. 2023. Genomic epidemiology of Mycobacterium avium subsp. paratuberculosis isolates from Canadian dairy herds provides evidence for multiple infection events. Front. Genet. 14: 1043598. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934062/
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Byrne, A., N. Bissonnette, S. Ollier, K. Tahlan. 2023. Investigating in vivo Mycobacterium avium subsp. paratuberculosis microevolution and mixed strain infections. Microbiol. Spectr. 11(5): e01716-23. https://www.ncbi.nlm.nih.gov/pubmed/37584606
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Marete, A., O. Ariel, E. Ibeagha-Awemu, N. Bissonnette. 2021. Identification of Long Non-coding RNA Isolated From Naturally Infected Macrophages and Associated With Bovine Johne's Disease in Canadian Holstein Using a Combination of Neural Networks and Logistic Regression. Front. Vet. Sci. 8: 639053. https://doi.org/10.3389/fvets.2021.639053
- Ibeagha-Awemu, E.M., N. Bissonnette, S. Bhattarai, M. Wang, P.-L. Dudemaine, S. McKay, X. Zhao. 2021. Whole Genome Methylation Analysis Reveals Role of DNA Methylation in Cow's Ileal and Ileal Lymph Node Responses to Mycobacterium avium subsp. paratuberculosis Infection. Front. Genet. 12: 797490. https://doi.org/10.3389/fgene.2021.797490