Molecular barcode of foodborne disease precursors to improve biosanitizer performance - Phase II

用于提高生物消毒剂性能的食源性疾病前体分子条形码 - 第二阶段

基本信息

批准号：
508707-2017
负责人：
Constant, Philippe
金额：
$ 0.73万
依托单位：
Institut national de la recherche scientifique
依托单位国家：
加拿大
项目类别：
Engage Plus Grants Program
财政年份：
2017
资助国家：
加拿大
起止时间：
2017-01-01 至 2018-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639696
关键词：
Molecular barcode foodborne disease precursors

项目摘要

Increasing global population, globalization, and new living standards have considerably changed the foodmarket. Food is transported over long distances, stored and processed before being distributed to consumers,resulting in the emergence of food safety issues. Food diagnostic currently relies on the detection of modelpathogens and quantification of microbial load. Very few attempts have been made to develop more holisticdiagnostic tools, providing early signal of food susceptibility to pathogens, based on the abiotic and bioticfeatures of food matrices. In a previous NSERC-Engage grant, our team demonstrated that microbialassemblages associated with chia seeds are organized and could provide early signal of contamination risk byallochthonous Enterobacteriaceae. Here we propose a second phase to that previous project to characterize themicrobiome of hemp seeds imported from different countries. Fresh seeds and conditioned seedsdecontaminated using a proprietary process developed by Agri-Neo Inc. will be sampled and analyzed. Using acombination of co-occurrence network analyses, we seek to identify keystone microbial species that facilitateor impede occupation of hemp ecological niche by potential foodborne pathogens. The identification ofantagonist and synergetic species will lead to the development of a genetic barcode indicator to evaluate foodsusceptibility to pathogens. This strategy could revolutionize conditioning food process treatments and qualitycontrol, while helping to determine the commercial values of imported food destined to public markets, lowerthe loss of contaminated food products and the incidence of recall warnings.

全球人口，全球化和新生活水平的增加已大大改变了食品市场。食物是长途运输的，在分配给消费者之前存储和加工，从而导致食品安全问题的出现。食物诊断目前依赖于检测模型路径和微生物负荷的定量。基于食物基质的非生物和生物饮食，很少有尝试开发更多的整体诊断工具，从而提供了对病原体的食物敏感性的早期信号。在以前的NSERC参与赠款中，我们的团队表明，与Chia种子相关的微生物组合是有组织的，并且可能会提供污染风险的早期信号。在这里，我们提出了以前项目的第二阶段，以表征从不同国家进口的大麻种子的主题。使用Agri-Neo Inc.开发的专有工艺进行的新鲜种子和条件种子污染，将进行采样和分析。利用共同出现网络分析的结合，我们试图确定基石微生物物种，以促进潜在的食源性病原体阻碍大麻生态位的占领。 andagonist和协同物种的鉴定将导致遗传条形码指标的发展，以评估食物敏感性对病原体的敏感性。该策略可以彻底改变调理食品过程治疗和质量范围，同时帮助确定注定向公共市场的进口食品的商业价值，降低受污染的食品的损失和召回警告的发生率。