High Throughput Sequencing for Detection of Foodborne Pathogens
Open accessAbstract
High-throughput sequencing (HTS) is becoming the state-of-the-art technology for typing of microbial isolates, especially in clinical samples. Yet, its application is still in its infancy for monitoring and outbreak investigations of foods. Here we review the published literature, covering not only bacterial but also viral and Eukaryote food pathogens, to assess the status and potential of HTS implementation to inform stakeholders, improve food safety and reduce outbreak impacts. The developments in sequencing technology and bioinformatics have outpaced the capacity to analyze and interpret the sequence data. The influence of sample processing, nucleic acid extraction and purification, harmonized protocols for generation and interpretation of data, and properly annotated and curated reference databases including non-pathogenic "natural" strains are other major obstacles to the realization of the full potential of HTS in analytical food surveillance, epidemiological and outbreak investigations, and in complementing preventive approaches for the control and management of foodborne pathogens. Despite significant obstacles, the achieved progress in capacity and broadening of the application range over the last decade is impressive and unprecedented, as illustrated with the chosen examples from the literature. Large consortia, often with broad international participation, are making coordinated efforts to cope with many of the mentioned obstacles. Further rapid progress can therefore be prospected for the next decade.
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High-throughput sequencing technology is used to detect and characterize foodborne pathogens in food products.
“This technology is used to detect and characterize foodborne pathogens (FBP) in food product [121].”
From Current Status and Future Trends in Removal, Control, and Mitigation of Algae Food Safety Risks for Human Consumption (2022) · cites this paper as [121]
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References 199 · Cited by 98
Research works printed but not linked: 1
- Timme R. Rand H. Trees E. Agarwala R. David S. Shumway M. (2015). Benchmark datasets for validating foodborne outbreak investigations: integrating WGS and phylogenomic analyses, in 1st ASM Conference on Rapid Next-Generation Sequencing and Bioinformatic Pipelines for Enhanced Molecular Epidemiologic Investigation of Pathogens (Washington, DC).
- Authors
- Sekse, C., Holst-Jensen, A., Dobrindt, U., Johannessen, G. S., Li, W., Spilsberg, B., & Shi, J.
- Affiliations
- Norwegian Veterinary Institute (NO)
- University of Münster (DE)
- Shanghai Jiao Tong University (CN)
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2017-10-20
- Volume
- 8
- Pages
- 2029-2029
- ISSN
- 1664-302X (ISSN-L)
- PMC
- PMC5655695
- OpenAlex
- W2765523099
- Cited by
- 98
- References
- 199
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 11 · 2023: 8 · 2022: 12 · 2021: 14 · 2020: 14 · 2019: 9 · 2018: 11
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Microbiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Seventh Framework Programme (FP7-KBBE-2013-7-613908-Decathlon)
- Norges Forskningsråd
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Salmonella and Campylobacter epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Listeria monocytogenes in Food Safety
- Keywords
- next-generation sequencing, foodborne pathogens, food safety, outbreak investigation, food monitoring, strain typing, reference database, natural strain, nucleic acid extraction, sample processing, bioinformatics, foodborne disease control
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