Reference number : GC-2017-Q1-00547, amendment number : , agreement type : G, recipient legal name : Constant, Philippe (Institut national de la recherche scientifique), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Engage Plus Grants for Universities, program name french : Subvention d'engagement partenarial Plus pour les universités, program purpose english : Increasing global population, globalization, and new living standards have considerably changed the food_x000D_
market. Food is transported over long distances, stored and processed before being distributed to consumers,_x000D_
resulting in the emergence of food safety issues. Food diagnostic currently relies on the detection of model_x000D_
pathogens and quantification of microbial load. Very few attempts have been made to develop more holistic_x000D_
diagnostic tools, providing early signal of food susceptibility to pathogens, based on the abiotic and biotic_x000D_
features of food matrices. In a previous NSERC-Engage grant, our team demonstrated that microbial_x000D_
assemblages associated with chia seeds are organized and could provide early signal of contamination risk by_x000D_
allochthonous Enterobacteriaceae. Here we propose a second phase to that previous project to characterize the_x000D_
microbiome of hemp seeds imported from different countries. Fresh seeds and conditioned seeds_x000D_
decontaminated using a proprietary process developed by Agri-Neo Inc. will be sampled and analyzed. Using a_x000D_
combination of co-occurrence network analyses, we seek to identify keystone microbial species that facilitate_x000D_
or impede occupation of hemp ecological niche by potential foodborne pathogens. The identification of_x000D_
antagonist and synergetic species will lead to the development of a genetic barcode indicator to evaluate food_x000D_
susceptibility to pathogens. This strategy could revolutionize conditioning food process treatments and quality_x000D_
control, while helping to determine the commercial values of imported food destined to public markets, lower_x000D_
the loss of contaminated food products and the incidence of recall warnings., program purpose french : Increasing global population, globalization, and new living standards have considerably changed the food_x000D_
market. Food is transported over long distances, stored and processed before being distributed to consumers,_x000D_
resulting in the emergence of food safety issues. Food diagnostic currently relies on the detection of model_x000D_
pathogens and quantification of microbial load. Very few attempts have been made to develop more holistic_x000D_
diagnostic tools, providing early signal of food susceptibility to pathogens, based on the abiotic and biotic_x000D_
features of food matrices. In a previous NSERC-Engage grant, our team demonstrated that microbial_x000D_
assemblages associated with chia seeds are organized and could provide early signal of contamination risk by_x000D_
allochthonous Enterobacteriaceae. Here we propose a second phase to that previous project to characterize the_x000D_
microbiome of hemp seeds imported from different countries. Fresh seeds and conditioned seeds_x000D_
decontaminated using a proprietary process developed by Agri-Neo Inc. will be sampled and analyzed. Using a_x000D_
combination of co-occurrence network analyses, we seek to identify keystone microbial species that facilitate_x000D_
or impede occupation of hemp ecological niche by potential foodborne pathogens. The identification of_x000D_
antagonist and synergetic species will lead to the development of a genetic barcode indicator to evaluate food_x000D_
susceptibility to pathogens. This strategy could revolutionize conditioning food process treatments and quality_x000D_
control, while helping to determine the commercial values of imported food destined to public markets, lower_x000D_
the loss of contaminated food products and the incidence of recall warnings., agreement title english : Molecular barcode of foodborne disease precursors to improve biosanitizer performance - Phase II, agreement title french : Molecular barcode of foodborne disease precursors to improve biosanitizer performance - Phase II, agreement number : EGP2, agreement value : 10000.0, agreement start date : 2017-06-14, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada