Evidence map›Paper›PMID 27213452›Full record

ArticleToxins2016

Comparison of Droplet Digital PCR and qPCR for the Quantification of Shiga Toxin-Producing Escherichia coli in Bovine Feces.

Bavo Verhaegen, Koen De Reu, Lieven De Zutter, Karen Verstraete, Marc Heyndrickx, Els Van Coillie

Abstract readComparative Study
In one paragraph

Article in Toxins, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Review
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  5. Article
  6. Droplet digital PCR (ddPCR) for enhanced detection and quantification of bovine viral diarrhea virus (BVDV): A promising tool for disease control.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
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  11. Review
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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

6 authors.

Bavo VerhaegenInstitute of Agriculture and Fishery Research (ILVO), Technology and Food Science Unit, Brusselsesteenweg 370, Melle 9090, Belgium. bavo.verhaegen@ilvo.vlaanderen.be.
Koen De ReuInstitute of Agriculture and Fishery Research (ILVO), Technology and Food Science Unit, Brusselsesteenweg 370, Melle 9090, Belgium. koen.dereu@ilvo.vlaanderen.be.
Lieven De ZutterDepartment of Veterinary Public Health and Food Safety, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, Merelbeke 9820, Belgium. lieven.dezutter@ugent.be.
Karen VerstraeteInstitute of Agriculture and Fishery Research (ILVO), Technology and Food Science Unit, Brusselsesteenweg 370, Melle 9090, Belgium. karen.verstraete@ilvo.vlaanderen.be.
Marc HeyndrickxInstitute of Agriculture and Fishery Research (ILVO), Technology and Food Science Unit, Brusselsesteenweg 370, Melle 9090, Belgium. marc.heyndrickx@ilvo.vlaanderen.be.
Els Van CoillieInstitute of Agriculture and Fishery Research (ILVO), Technology and Food Science Unit, Brusselsesteenweg 370, Melle 9090, Belgium. els.vancoillie@ilvo.vlaanderen.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cattle are considered to be the main reservoir for Shiga toxin-producing Escherichia coli (STEC) and are often the direct or indirect source of STEC outbreaks in humans. Accurate measurement of the concentration of shed STEC in cattle feces could be a key answer to questions concerning transmission of STEC, contamination sources and efficiency of treatments at farm level. Infected animals can be identified and the contamination level quantified by real-time quantitative PCR (qPCR), which has its specific limitations. Droplet digital PCR (ddPCR) has been proposed as a method to overcome many of the drawbacks of qPCR. This end-point amplification PCR is capable of absolute quantification independent from any reference material and is less prone to PCR inhibition than qPCR. In this study, the qPCR-based protocol described by Verstraete et al. (2014) for Shiga toxin genes stx1 and stx2 and the intimin gene eae quantification was optimized for ddPCR analysis. The properties of ddPCR and qPCR using two different mastermixes (EMM: TaqMan(®) Environmental Master Mix 2.0; UMM: TaqMan(®) Universal PCR Master Mix) were evaluated, using standard curves and both artificial and natural contaminated cattle fecal samples. In addition, the susceptibility of these assays to PCR-inhibitors was investigated. Evaluation of the standard curves and both artificial and natural contaminated cattle fecal samples suggested a very good agreement between qPCR using EMM and ddPCR. Furthermore, similar sensitivities and no PCR inhibition were recorded for both assays. On the other hand, qPCR using UMM was clearly prone to PCR inhibition. In conclusion, the ddPCR technique shows potential for the accurate absolute quantification of STEC on the farms, without relying on standardized reference material.

Indexed as

AnimalsCattleFecesGenes, BacterialPolymerase Chain ReactionShiga-Toxigenic Escherichia coliVirulencecattledroplet digital PCRPCR inhibitionreal-time qualitative PCRShiga Toxin-producing Escherichia coli

Identifiers

PMID27213452
PMCPMC4885071

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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.