Evidence map›Paper›PMID 33060781›Full record

ArticleScientific reports2020

Accurate and sensitive detection of Salmonella in foods by engineered bacteriophages.

Minh M Nguyen, Jose Gil, Matthew Brown, Eduardo Cesar Tondo, Nathanyelle Soraya Martins de Aquino, Marcia Eisenberg, Stephen Erickson

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Advances in detection methods for viable Salmonella spp.: current applications and challenges.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Evaluation of PhageDXFoods (Basel, Switzerland) · 2021
    Article
  15. Foods (Basel, Switzerland) · 2021
    Review
  16. 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

7 authors.

Minh M NguyenLaboratory Corporation of America Holdings, New Brighton, MN, 55112, USA.
Jose GilLaboratory Corporation of America Holdings, Los Angeles, CA, 90062, USA.
Matthew BrownLaboratory Corporation of America Holdings, Burlington, NC, 27215, USA.
Eduardo Cesar TondoLaboratório de Microbiologia e Controle de Alimentos, Instituto de Ciência e Tecnologia de Alimentos, Universidade Federal do Rio Grande do Sul (ICTA/UFRGS), Porto Alegre, RS, 91501-970, Brazil.
Nathanyelle Soraya Martins de AquinoLaboratório de Microbiologia e Controle de Alimentos, Instituto de Ciência e Tecnologia de Alimentos, Universidade Federal do Rio Grande do Sul (ICTA/UFRGS), Porto Alegre, RS, 91501-970, Brazil.
Marcia EisenbergLaboratory Corporation of America Holdings, Burlington, NC, 27215, USA.
Stephen EricksonLaboratory Corporation of America Holdings, New Brighton, MN, 55112, USA. erickss@labcorp.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salmonella is a major causative agent of foodborne illness and rapid identification of this pathogen is essential to prevent disease. Currently most assays require high bacterial burdens or prolonged enrichment to achieve acceptable performance. A reduction in testing time without loss of sensitivity is critical to allow food processors to safely decrease product holding time. To meet this need, a method was developed to detect Salmonella using luciferase reporter bacteriophages. Bacteriophages were engineered to express NanoLuc, a novel optimized luciferase originating from the deep-sea shrimp Oplophorus gracilirostris. NanoLuc-expressing bacteriophages had a limit of detection of 10-100 CFU per mL in culture without enrichment. Luciferase reporters demonstrated a broad host range covering all Salmonella species with one reporter detecting 99.3% of 269 inclusivity strains. Cross-reactivity was limited and only observed with other members of the Enterobacteriaceae family. In food matrix studies, a cocktail of engineered bacteriophages accurately detected 1 CFU in either 25 g of ground turkey with a 7 h enrichment or 100 g of powdered infant formula with a 16 h enrichment. Use of the NanoLuc reporter assay described herein resulted in a considerable reduction in enrichment time without a loss of sensitivity.

Indexed as

BacteriophagesFood MicrobiologyAnimalsDecapodaFood ContaminationGenes, ReporterInfant FormulaLimit of DetectionPlasmidsPoultry ProductsReproducibility of ResultsSalmonellaSeafoodSensitivity and SpecificitySequence Analysis, DNATurkeys

Identifiers

PMID33060781
PMCPMC7567081

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.