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ClosedAgriculture & Agri-food

Listeria detection and surveillance using next-generation genomics (LiDS-NG)

PROJECT LEAD(S)/CO-LEAD(S) Linda Chui (University of Alberta), Jian Zhang (Alberta Innovates – Innotech), & Matthew Gilmour (Public Health Agency of Canada)
COMPETITION/ FUNDING OPPORTUNITY Genome Canada - Application of genomics tools to the detection and surveillance of Listeria
PROJECT START DATE April 1, 2013
PROJECT END DATE December 31, 2014
ALBERTA’S ROLE Lead

The goal of this proposal is to develop cost-effective and rapid methodologies that allow enhanced screening for specific Listeria monocytogenes (Lm) genomic sequences associated with increased virulence potential and/or the ability to survive in food processing environments in a manner that can be done by any trained laboratory personnel. Currently, there are no adequate existing methods to screen foods for the presence of Lm in a timely and cost-effective manner. It is essential to develop sensitive, rapid, and accurate tests that will identify potentially hazardous foods since most ready-to-eat foods are negative for foodborne pathogens such as Listeria. A database of Listeria genome sequences will be developed to allow for genetic markers to be identified and incorporated into high throughput systems for rapid identification of Lm in foods and food processing facilities.

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