Evidence map›Paper›PMID 26313760›Full record

ArticlePloS one2015

Genome-Wide Identification and Validation of Reference Genes in Infected Tomato Leaves for Quantitative RT-PCR Analyses.

Oliver A Müller, Jan Grau, Sabine Thieme, Heike Prochaska, Norman Adlung, Anika Sorgatz, Ulla Bonas

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

31 citing papers in PubMed, 50 citations in OpenAlex.

  1. Genome-Wide Analysis of theInternational journal of molecular sciences · 2026
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  9. Global expression patterns ofFrontiers in plant science · 2023
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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

7 authors at 1 institution in 1 country.

Oliver A MüllerInstitute for Biology, Department of Genetics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Jan GrauInstitute for Informatics, Department of Bioinformatics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Sabine ThiemeInstitute for Biology, Department of Genetics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Heike ProchaskaInstitute for Biology, Department of Genetics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Norman AdlungInstitute for Biology, Department of Genetics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Anika SorgatzInstitute for Biology, Department of Genetics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Ulla BonasInstitute for Biology, Department of Genetics, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Martin Luther University Halle-Wittenberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Gram-negative bacterium Xanthomonas campestris pv. vesicatoria (Xcv) causes bacterial spot disease of pepper and tomato by direct translocation of type III effector proteins into the plant cell cytosol. Once in the plant cell the effectors interfere with host cell processes and manipulate the plant transcriptome. Quantitative RT-PCR (qRT-PCR) is usually the method of choice to analyze transcriptional changes of selected plant genes. Reliable results depend, however, on measuring stably expressed reference genes that serve as internal normalization controls. We identified the most stably expressed tomato genes based on microarray analyses of Xcv-infected tomato leaves and evaluated the reliability of 11 genes for qRT-PCR studies in comparison to four traditionally employed reference genes. Three different statistical algorithms, geNorm, NormFinder and BestKeeper, concordantly determined the superiority of the newly identified reference genes. The most suitable reference genes encode proteins with homology to PHD finger family proteins and the U6 snRNA-associated protein LSm7. In addition, we identified pepper orthologs and validated several genes as reliable normalization controls for qRT-PCR analysis of Xcv-infected pepper plants. The newly identified reference genes will be beneficial for future qRT-PCR studies of the Xcv-tomato and Xcv-pepper pathosystems, as well as for the identification of suitable normalization controls for qRT-PCR studies of other plant-pathogen interactions, especially, if related plant species are used in combination with bacterial pathogens.

Indexed as

Genes, PlantGenome-Wide Association StudyHost-Pathogen InteractionsPlant DiseasesPlant LeavesPlant ProteinsReverse Transcriptase Polymerase Chain ReactionSolanum lycopersicumXanthomonas vesicatoriaPlant Proteins

Identifiers

PMID26313760
PMCPMC4552032
OpenAlexW1637649044

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.