Baseline Practices for the Application of Genomic Data Supporting Regulatory Food Safety-Reference-Cited by-同舟云学术

Baseline Practices for the Application of Genomic Data Supporting Regulatory Food Safety

Published:2017-05-01 Issue:3 Volume:100 Page:721-731
ISSN:1060-3271
Container-title:Journal of AOAC INTERNATIONAL
language:en
Short-container-title:

Author:

Lambert Dominic¹,Pightling Arthur²,Griffiths Emma³,Van Domselaar Gary⁴,Evans Peter⁵,Berthelet Sharon¹,Craig Duncan⁶,Chandry P Scott⁷,Stones Robert⁸,Brinkman Fiona³,Angers-Loustau Alexandre⁹,Kreysa Joachim⁹,Tong Weida¹⁰,Blais Burton¹¹

Affiliation:

1. Canadian Food Inspection Agency, Ottawa Laboratory (Carling), Ottawa, ON, Canada

2. U.S. Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD, USA

3. Public Health Agency of Canada, National Microbiology Laboratory, Winnipeg, MB, Canada

4. U.S. Department of Agriculture, Food Safety and Inspection Service, Washington, DC, USA

5. Food Standards Australia New Zealand, Canberra, Australia

6. Commonwealth Scientific and Industrial Research Organisation, Melbourne, Australia

7. Food and Environment Research Agency, Sand Hutton, York, UK

8. Simon Fraser University, Department of Molecular Biology and Biochemistry, Burnaby, BC, Canada

9. European Commission, Joint Research Center, Ispra, Italy

10. U.S. Food and Drug Administration, National Center for Toxicological Research, Little Rock, AR

11. Canadian Food Inspection Agency, Ottawa Laboratory (Carling), Bldg 22, 960 Carling Ave, Central Experimental Farm, Ottawa, ON, Canada K1A 0Y9

Abstract

Abstract The application of new data streams generated from next-generation sequencing (NGS) has been demonstrated for food microbiology, pathogen identification, and illness outbreak detection. The establishment of best practices for data integrity,reproducibility, and traceability will ensure reliable, auditable, and transparent processes underlying food microbiology risk management decisions. We outline general principles to guide the use of NGS data in support of microbiological food safety. Regulatory authorities across intra- and internationaljurisdictions can leverage this effort to promote the reliability, consistency, and transparency of processes used in the derivation of genomic information for regulatory food safety purposes, and to facilitate interactions and the transfer of information in the interest of public health.

Publisher

Oxford University Press (OUP)

Subject

Pharmacology,Agronomy and Crop Science,Environmental Chemistry,Food Science,Analytical Chemistry

Link

http://academic.oup.com/jaoac/article-pdf/100/3/721/32427937/jaoac0721.pdf

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Overview of Foodborne Sample-Initiated Retrospective Outbreak Investigations and Interagency Collaboration in the United States;Journal of Food Protection;2023-06

2. Reuse of the FoodOn ontology in a knowledge base of food composition data;Semantic Web;2023-05-29

3. Artificial intelligence and real-world data for drug and food safety – A regulatory science perspective;Regulatory Toxicology and Pharmacology;2023-05

4. A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing;F1000Research;2022-03-16

5. Whole-Genome Sequence Datasets: A Powerful Resource for the Food Microbiology Laboratory Toolbox;Frontiers in Sustainable Food Systems;2021-11-26