Evidence map›Paper›PMID 35974024›Full record

ReviewNPJ science of food2022

The power, potential, benefits, and challenges of implementing high-throughput sequencing in food safety systems.

Behzad Imanian, John Donaghy, Tim Jackson, Sanjay Gummalla, Balasubramanian Ganesan, Robert C Baker, Matthew Henderson, Emily K Butler, Yingying Hong, Brendan Ring and 9 more

Open access · goldAbstract readReview
In one paragraph

Review in NPJ science of food, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Probing Genomic Diversity ofFoods (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Genomic Surveillance ofAntibiotics (Basel, Switzerland) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 10 institutions in 4 countries.

Behzad ImanianIllinois Institute of Technology, Chicago, IL, USA. bimanian@iit.edu.ORCID http://orcid.org/0000-0002-8768-0453
John DonaghySociété des Produits Nestlé S.A, Vevey, Vaud, Switzerland.
Tim JacksonDriscoll's, Watsonville, CA, USA.
Sanjay GummallaAmerican Frozen Food Institute, Bethesda, MD, USA.
Balasubramanian GanesanMars, Incorporated, McLean, VA, USA.ORCID http://orcid.org/0000-0001-7835-881X
Robert C BakerMars, Incorporated, McLean, VA, USA.
Matthew HendersonLand O'Frost, Lansing, IL, USA.
Emily K ButlerAbbott Nutrition, Columbus, OH, USA.ORCID http://orcid.org/0000-0003-2906-0595
Yingying HongAbbott Nutrition, Columbus, OH, USA.ORCID http://orcid.org/0000-0003-0385-9876
Brendan RingCreme Global, Dublin, Dublin, Ireland.
Clare ThorpCreme Global, Dublin, Dublin, Ireland.
Ramin KhaksarClear Labs, San Carlos, CA, USA.
Mansour SamadpourInstitute for Environmental Health, Inc., Seattle, Washington, USA.
Kahlil A LawlessIllumina, Inc, San Diego, CA, USA.ORCID http://orcid.org/0000-0002-9537-0113
Iain MacLaren-LeeOxford Nanopore Technologies, Oxford, UK.
Heather A CarletonCenters for Disease Control and Prevention, Atlanta, GA, USA.
Renmao TianIllinois Institute of Technology, Chicago, IL, USA.ORCID http://orcid.org/0000-0003-2151-4417
Wei ZhangIllinois Institute of Technology, Chicago, IL, USA.
Jason WanIllinois Institute of Technology, Chicago, IL, USA.
Illinois Institute of Technology · USAbbott (United States) · USCreme Global (Ireland) · IEMars (United States) · USCenters for Disease Control and Prevention · USDriscoll Children's Hospital · USIIT Research Institute · USIllumina (United States) · USNestlé (Switzerland) · CHOxford Nanopore Technologies (United Kingdom) · GB

Funding

FDA HHS U19 FD005322
6 · The paper itself

Abstract

The development and application of modern sequencing technologies have led to many new improvements in food safety and public health. With unprecedented resolution and big data, high-throughput sequencing (HTS) has enabled food safety specialists to sequence marker genes, whole genomes, and transcriptomes of microorganisms almost in real-time. These data reveal not only the identity of a pathogen or an organism of interest in the food supply but its virulence potential and functional characteristics. HTS of amplicons, allow better characterization of the microbial communities associated with food and the environment. New and powerful bioinformatics tools, algorithms, and machine learning allow for development of new models to predict and tackle important events such as foodborne disease outbreaks. Despite its potential, the integration of HTS into current food safety systems is far from complete. Government agencies have embraced this new technology, and use it for disease diagnostics, food safety inspections, and outbreak investigations. However, adoption and application of HTS by the food industry have been comparatively slow, sporadic, and fragmented. Incorporation of HTS by food manufacturers in their food safety programs could reinforce the design and verification of effectiveness of control measures by providing greater insight into the characteristics, origin, relatedness, and evolution of microorganisms in our foods and environment. Here, we discuss this new technology, its power, and potential. A brief history of implementation by public health agencies is presented, as are the benefits and challenges for the food industry, and its future in the context of food safety.

Identifiers

PMID35974024
PMCPMC9381742
OpenAlexW4291991898

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.