Developmental evaluation of a Listeria-specific magnetic-separation method (CBD-MS) and a combined CBD-MS/MDA approach for sequencing Listeria monocytogenes in food

Funding period: 2021-2024
Lead: Calvin Lau
Total GRDI funding: $125,000

Listeria monocytogenes is a significant foodborne pathogen and the primary causative agent of listeriosis. To mitigate this food safety hazard, CFIA relies on robust and sensitive microbiological testing methods to carry out routine inspection/monitoring in high-risk food samples. At present, the majority of the Health Canada-endorsed reference methods for L. monocytogenes require lengthy enrichment culturing step(s). With the goal of developing tools that can be easily employed by frontline laboratory analysts as a parallel/alternative strategy to expedite the identification and characterization of L. monocytogenes, this project aims at exploring a "target-centric" approach to more efficiently recover this foodborne microorganism and its genomic content. It aims to establish and evaluate an alternative, non-antibody based magnetic separation method, namely, CBD-MS to selectively capture L. monocytogenes cells from food samples that undergo the MFHPB-30 culture enrichment procedures. An innovative workflow that combines (i) culture-based selective enrichment, (ii) high-affinity target-immobilization and capturing via CBD-MS, and (iii) single-tube genome amplification through isothermal multiple-displacement amplification (MDA) will also be devised. Such workflow should generate sufficient genomic material of the L. monocytogenes target from partially-/fully- enriched samples to allow for high-throughput sequencing and PCR/qPCR-based rapid screening. This will facilitate quicker turnaround time for strain identification and matching against outbreak and/or clinical isolates.

Research tool/process

  • An innovative workflow to allow for high-throughput sequencing and PCR/qPCR-based rapid screening for strain identification of Listeria monocytogenes in food. An end-to-end workflow prototype consists of preparation of MDA-enabled metagenomic sequencing libraries directly from cultural enrichment samples and the customized bioinformatics pipeline used to infer matching L. monocytogenes strain identity via analyzing the sequencing output.

Contact us

For additional information, please contact:
Genomics R&D Initiative
Email: info@grdi-irdg.collaboration.gc.ca