Evidence map›Paper›PMID 28743967›Full record

ArticleScientific reports2017

Pathogen recognition in compatible plant-microbe interactions.

Fabio Rezzonico, Oliver Rupp, Johannes Fahrentrapp

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Microorganisms · 2026
    Article
  2. Review
  3. The evolution of plant responses underlying specialized metabolism in host-pathogen interactions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
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  17. The Role of TomatoFrontiers in plant science · 2018
    Review
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

3 authors.

Fabio RezzonicoResearch Group Environmental Genomics and Systems Biology, Zurich University of Applied Sciences, Wädenswil, Switzerland.
Oliver RuppBioinformatics and Systems Biology, Justus-Liebig-University Giessen, Giessen, Germany.
Johannes FahrentrappResearch Group for Viticulture, Zurich University of Applied Sciences, Wädenswil, Switzerland. johannes.fahrentrapp@zhaw.ch.ORCID 0000-0003-4259-6634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial infections in plant leaves remain a major challenge in agriculture. Hence an understanding of disease mechanisms at the molecular level is of paramount importance for identifying possible intervention points for their control. Whole-transcriptome changes during early disease stages in susceptible plant species are less well-documented than those of resistant ones. This study focuses on the differential transcriptional changes at 24 hours post inoculation (hpi) in tomato leaflets affected by three pathogens: (1) Phytophthora infestans, (2) Botrytis cinerea, and (3) Oidium neolycopersici. Grey mould (B. cinerea) was the disease that had progressed the most by 24 hpi, both in terms of visible symptoms as well as differential gene expression. By means of RNA-seq, we identified 50 differentially expressed tomato genes specifically induced by B. cinerea infection and 18 specifically induced by P. infestans infection at 24 hpi. Additionally, a set of 63 genes were differentially expressed during all three diseases when compared by a Bayesian approach to their respective mock infections. And Gene expression patterns were found to also depend on the inoculation technique. These findings suggest a specific and distinct transcriptional response in plant leaf tissue in reaction to B. cinerea and P. infestans invasion at 24 hpi, indicating that plants may recognize the attacking pathogen.

Indexed as

Bayes TheoremBotrytisComputer SimulationExome SequencingGene Expression ProfilingGene Expression Regulation, PlantHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsPhytophthora infestansPlant DiseasesPlant LeavesPlant ProteinsSaccharomycetalesSolanum lycopersicumSpecies SpecificityPlant Proteins

Identifiers

PMID28743967
PMCPMC5526865

What OpenQuestion holds

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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.