Evidence map›Paper›PMID 16332910›Full record

ArticleApplied and environmental microbiology2005

A novel real-time PCR for Listeria monocytogenes that monitors analytical performance via an internal amplification control.

David Rodríguez-Lázaro, Maria Pla, Mariela Scortti, Héctor J Monzó, José A Vázquez-Boland

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  3. Colorimetric Detection ofSensors (Basel, Switzerland) · 2020
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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

5 authors.

David Rodríguez-LázaroVeterinary Molecular Microbiology Section, Faculty of Medical and Veterinary Sciences, University of Bristol, Langford BS40 5DU, United Kingdom. david.rodriguez@bris.ac.uk.
Maria Pla
Mariela Scortti
Héctor J Monzó
José A Vázquez-Boland

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a novel quantitative real-time (Q)-PCR assay for Listeria monocytogenes based on the coamplification of a target hly gene fragment and an internal amplification control (IAC). The IAC is a chimeric double-stranded DNA containing a fragment of the rapeseed BnACCg8 gene flanked by the hly-specific target sequences. This IAC is detected using a second TaqMan probe labeled with a different fluorophore, enabling the simultaneous monitoring of the hly and IAC signals. The hly-IAC assay had a specificity and sensitivity of 100%, as assessed using 49 L. monocytogenes isolates of different serotypes and 96 strains of nontarget bacteria, including 51 Listeria isolates. The detection and quantification limits were 8 and 30 genome equivalents, and the coefficients for PCR linearity (R2) and efficiency (E) were 0.997 and 0.80, respectively. We tested the performance of the hly-IAC Q-PCR assay using various broth media and food matrices. Fraser and half-Fraser media, raw pork, and raw or cold-smoked salmon were strongly PCR-inhibitory. This Q-PCR assay for L. monocytogenes, the first incorporating an IAC to be described for quantitative detection of a food-borne pathogen, is a simple and robust tool facilitating the identification of false negatives or underestimations of contamination loads due to PCR failure.

Indexed as

AnimalsBacterial ToxinsDNA PrimersFood MicrobiologyGene AmplificationHeat-Shock ProteinsHemolysin ProteinsListeria monocytogenesMeat ProductsPolymerase Chain ReactionSwineBacterial ToxinsDNA PrimersHeat-Shock ProteinsHemolysin ProteinshlyA protein, Listeria monocytogenes

Identifiers

PMID16332910
PMCPMC1317324

What OpenQuestion holds

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Registered trials

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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.