A One Health Approach to Large-Scale AMR Surveillance

Challenge

The rise in antimicrobial resistance (AMR) is a growing public health threat that limits the ability of health professionals to treat diseases. AMR is a priority concern for key livestock sectors, including dairy, beef, and swine. Another significant issue is the potential transmission of AMR through the food supply chain, from livestock to consumers, both directly and indirectly. Effectively controlling AMR across animals, the environment, and humans requires a coordinated One Health approach. This includes developing mitigation strategies and implementing evidence-based policies to enhance antimicrobial stewardship. Currently, there are no standardized methods for monitoring AMR across sectors, which reduces the effectiveness of risk assessments and the development of novel strategies. Improved surveillance is critical to controlling the emergence and spread of resistance, even with responsible antimicrobial use. For Canada, this means enhancing existing surveillance systems to facilitate a coordinated management effort.

Research

Dr. Nicole Ricker is leading the development of a cost-effective and scalable solution for AMR surveillance that can be rapidly implemented across the One Health spectrum. This two-part project builds on previous work in creating a high-throughput AMR surveillance platform, the Diversity of Antibiotic Resistance and Transfer Elements – Quantitative Monitoring (DARTE-QM) platform. In the current phase, the team is finalizing the targeted amplicon metagenomic platform, which is capable of detecting hundreds of AMR genes simultaneously. Further steps will include piloting the platform on diverse samples across the One Health spectrum. While still in development, the DARTE-QM platform provides comparable data on AMR genes across multiple sectors and allows for the detection of novel gene sequences. Ricker’s research will directly support federal surveillance programs by providing valuable data and analytical tools to inform evidence-based decision-making and collaboration.

Results

Will be added when project is complete.

Impact

Will be added when project is complete.

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