Evidence map›Paper›PMID 33444384›Full record

ArticlePloS one2021

Precision long-read metagenomics sequencing for food safety by detection and assembly of Shiga toxin-producing Escherichia coli in irrigation water.

Meghan Maguire, Julie A Kase, Dwayne Roberson, Tim Muruvanda, Eric W Brown, Marc Allard, Steven M Musser, Narjol González-Escalona

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
9.0field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Origin and development of twoMicrobial genomics · 2025
    Article
  6. Review
  7. Article
  8. Nanopore sequencing in veterinary medicine: from concepts to clinical applications.Frontiers in cellular and infection microbiology · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

Meghan MaguireCenter for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, United States of America.
Julie A KaseCenter for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, United States of America.
Dwayne RobersonCenter for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, United States of America.
Tim MuruvandaCenter for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, United States of America.
Eric W BrownCenter for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, United States of America.
Marc AllardCenter for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, United States of America.
Steven M MusserCenter for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, United States of America.
Narjol González-EscalonaCenter for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD, United States of America.ORCID 0000-0003-4568-0022
Center for Food Safety and Applied Nutrition · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shiga toxin-producing Escherichia coli (STEC) contamination of agricultural water might be an important factor to recent foodborne illness and outbreaks involving leafy greens. Closed bacterial genomes from whole genome sequencing play an important role in source tracking. We aimed to determine the limits of detection and classification of STECs by qPCR and nanopore sequencing using 24 hour enriched irrigation water artificially contaminated with E. coli O157:H7 (EDL933). We determined the limit of STEC detection by qPCR to be 30 CFU/reaction, which is equivalent to 105 CFU/ml in the enrichment. By using Oxford Nanopore's EPI2ME WIMP workflow and de novo assembly with Flye followed by taxon classification with a k-mer analysis software (Kraken2), E. coli O157:H7 could be detected at 103 CFU/ml (68 reads) and a complete fragmented E. coli O157:H7 metagenome-assembled genome (MAG) was obtained at 105-108 CFU/ml. Using a custom script to extract the E. coli reads, a completely closed MAG was obtained at 107-108 CFU/ml and a complete, fragmented MAG was obtained at 105-106 CFU/ml. In silico virulence detection for E. coli MAGs for 105-108 CFU/ml showed that the virulotype was indistinguishable from the spiked E. coli O157:H7 strain. We further identified the bacterial species in the un-spiked enrichment, including antimicrobial resistance genes, which could have important implications to food safety. We propose this workflow provides proof of concept for faster detection and complete genomic characterization of STECs from a complex microbial sample compared to current reporting protocols and could be applied to determine the limit of detection and assembly of other foodborne bacterial pathogens.

Indexed as

Food SafetyMetagenomeMetagenomicsWaterWater MicrobiologyEscherichia coli O157Foodborne DiseasesHumansWater

Identifiers

PMID33444384
PMCPMC7808635
OpenAlexW3120018905

What OpenQuestion holds

Textmetadata
LicenceCC0
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.