Evidence map›Paper›PMID 40357405›Full record

ReviewFrontiers in cellular and infection microbiology2025

Advances in whole genome sequencing for foodborne pathogens: implications for clinical infectious disease surveillance and public health.

Emílio Gomes, Daniela Araújo, Teresa Nogueira, Ricardo Oliveira, Sónia Silva, Lorena V N Oliveira, Nuno F Azevedo, Carina Almeida, Joana Castro

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Detection of an ExPEC-likeBiotech (Basel (Switzerland)) · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Probiotics and Fermented Foods in Human Nutrition.Molecules (Basel, Switzerland) · 2026
    Review
  9. Review
  10. Review
  11. An outbreak of Shiga toxin-producingEpidemiology and infection · 2026
    Article
  12. Review
  13. Persistence of non-typhoidalFrontiers in microbiology · 2026
    Review
  14. Review
  15. Experimental Evaluation of Fecal-Mediated Transfer ofJournal of tropical medicine · 2026
    Article
  16. The European Union One Health 2024 Zoonoses Report.EFSA journal. European Food Safety Authority · 2025
    Article
  17. Review
  18. Review
  19. Article
  20. Review
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

9 authors.

Emílio GomesINIAV-National Institute for Agrarian and Veterinary Research, Vila do Conde, Portugal.
Daniela AraújoINIAV-National Institute for Agrarian and Veterinary Research, Vila do Conde, Portugal.
Teresa NogueiraINIAV-National Institute for Agrarian and Veterinary Research, Vila do Conde, Portugal.
Ricardo OliveiraINIAV-National Institute for Agrarian and Veterinary Research, Vila do Conde, Portugal.
Sónia SilvaCEB - Centre of Biological Engineering, University of Minho, Braga, Portugal.
Lorena V N OliveiraDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.
Nuno F AzevedoLEPABE - Laboratory for Process Engineering, Environment, Biotechnology and Energy, Faculty of Engineering, University of Porto, Porto, Portugal.
Carina AlmeidaINIAV-National Institute for Agrarian and Veterinary Research, Vila do Conde, Portugal.
Joana CastroINIAV-National Institute for Agrarian and Veterinary Research, Vila do Conde, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foodborne outbreaks affecting millions of people worldwide are a significant and growing global health threat, exacerbated by the emergence of new and increasingly virulent foodborne pathogens. Traditional methods of detecting these outbreaks, including culture-based techniques, serotyping and molecular methods such as real-time PCR, are still widely used. However, these approaches often lack the precision and resolution required to definitively trace the source of an outbreak and distinguish between closely related strains of pathogens. Whole genome sequencing (WGS) has emerged as a revolutionary tool in outbreak investigations, providing high-resolution, comprehensive genetic data that allows accurate species identification and strain differentiation. WGS also facilitates the detection of virulence and antimicrobial resistance (AMR) genes, providing critical insight into the potential pathogenicity, treatment/control options and risks of spreading foodborne pathogens. This capability enhances outbreak surveillance, source tracing and risk assessment, making WGS an increasingly integrated component of public health surveillance systems. Despite its advantages, the widespread implementation of WGS faces several pressing challenges, including high sequencing costs, the need for specialized bioinformatics expertise, limited computational infrastructure in resource-constrained settings, and the standardization of data-sharing frameworks across regulatory and public health agencies. Addressing these barriers is crucial to maximizing the impact of WGS on foodborne disease surveillance. Even so, WGS is emerging as a vital tool in food safety and public health, and its potential to become the gold standard in outbreak detection has been recognized by public health authorities in the USA, the European Union, Australia and China, for example. This review highlights the role of WGS in foodborne outbreak investigations, its implementation challenges, and its impact on public health surveillance.

Indexed as

BacteriaEpidemiological MonitoringFoodborne DiseasesWhole Genome SequencingDisease OutbreaksFood MicrobiologyGenome, BacterialHumansMolecular EpidemiologyPublic HealthPublic Health Surveillancefoodborne pathogensmolecular typingnext-generation sequencingoutbreak investigationpublic health

Identifiers

PMID40357405
PMCPMC12066639

What OpenQuestion holds

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LicenceCC BY
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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.