Evidence map›Paper›PMID 32322292›Full record

ArticlePlant methods2020

Development of a universal endogenous qPCR control for eukaryotic DNA samples.

Cecilia Mittelberger, Lisa Obkircher, Vicky Oberkofler, Alan Ianeselli, Christine Kerschbamer, Andreas Gallmetzer, Yazmid Reyes-Dominguez, Thomas Letschka, Katrin Janik

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 28 citations in OpenAlex.

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  6. Rapid and Accurate Detection ofPathogens (Basel, Switzerland) · 2022
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  7. The Use of qPCR to Detect Cryphonectria parasitica in Plants.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  8. Article
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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

9 authors at 1 institution in 1 country.

Cecilia MittelbergerApplied Genomics and Molecular Biology, Institute for Plant Health, Laimburg Research Centre, Pfatten, Italy.
Lisa ObkircherApplied Genomics and Molecular Biology, Institute for Plant Health, Laimburg Research Centre, Pfatten, Italy.
Vicky OberkoflerApplied Genomics and Molecular Biology, Institute for Plant Health, Laimburg Research Centre, Pfatten, Italy.
Alan IaneselliApplied Genomics and Molecular Biology, Institute for Plant Health, Laimburg Research Centre, Pfatten, Italy.
Christine KerschbamerApplied Genomics and Molecular Biology, Institute for Plant Health, Laimburg Research Centre, Pfatten, Italy.
Andreas GallmetzerVirology and Diagnostics, Institute for Plant Health, Laimburg Research Centre, Pfatten, Italy.
Yazmid Reyes-DominguezVirology and Diagnostics, Institute for Plant Health, Laimburg Research Centre, Pfatten, Italy.
Thomas LetschkaApplied Genomics and Molecular Biology, Institute for Plant Health, Laimburg Research Centre, Pfatten, Italy.
Katrin JanikApplied Genomics and Molecular Biology, Institute for Plant Health, Laimburg Research Centre, Pfatten, Italy.ORCID 0000-0003-0878-7402
Institute for Sustainable Plant Protection · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhytoplasma are obligate intracellular plant-pathogenic bacteria that infect a broad range of plant species and are transmitted by different insect species. Quantitative real-time PCR (qPCR) is one of the most commonly used techniques for pathogen detection, especially for pathogens that cannot be cultivated outside their host like phytoplasma. PCR analysis requires the purification of total DNA from the sample and subsequent amplification of pathogen DNA with specific primers. The purified DNA contains mainly host DNA and only a marginal proportion is of phytoplasmal origin. Therefore, detection of phytoplasma DNA in a host DNA background must be sensitive, specific and reliable and is highly dependent on the quality and concentration of the purified DNA. DNA quality and concentration and the presence of PCR-inhibitors therefore have a direct impact on pathogen detection. Thus, it is indispensable for PCR-based diagnostic tests to validate the DNA preparation and DNA integrity before interpreting diagnostic results, especially in case that no pathogen DNA is detected. The use of an internal control allows to evaluate DNA integrity and the detection of PCR-inhibiting substances. Internal controls are generally host-specific or limited to a defined group of related species. A control suitable for the broad range of phytoplasma hosts comprising different insect and plant species is still missing.

resultsWe developed a primer and probe combination that allows amplification of a conserved stretch of the eukaryotic 28S rDNA gene. The developed endogenous qPCR control serves as a DNA quality control and allows the analysis of different eukaryotic host species, including plants, insects, fish, fungi, mammals and human with a single primer/probe set in single- or multiplex assays.

conclusionsQuality and performance control is indispensable for pathogen detection by qPCR. Several plant pathogens are transmitted by insects and have a broad range of host species. The newly developed endogenous control can be used with all so far tested eukaryotic species and since multiplexing is possible, the described primer and probe set can be easily combined with other PCR-based pathogen detection systems.

Indexed as

Endogenous controlPathogen detectionPhytoplasmaQuantitative real-time PCRReference gene

Identifiers

PMID32322292
PMCPMC7160944
OpenAlexW3018703711

What OpenQuestion holds

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LicenceCC BY
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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.