Evidence map›Paper›PMID 21994175›Full record

ArticleJournal of experimental botany2012

Insect oral secretions suppress wound-induced responses in Arabidopsis.

Floriane Consales, Fabian Schweizer, Matthias Erb, Caroline Gouhier-Darimont, Natacha Bodenhausen, Friederike Bruessow, Islam Sobhy, Philippe Reymond

Open access · hybridAbstract read
In one paragraph

Article in Journal of experimental botany, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
12.7field-weighted citation impact, top 1% 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

76 citing papers in PubMed, 154 citations in OpenAlex.

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16 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Floriane ConsalesDepartment of Plant Molecular Biology, University of Lausanne, 1015 Lausanne, Switzerland.
Fabian Schweizer
Matthias Erb
Caroline Gouhier-Darimont
Natacha Bodenhausen
Friederike Bruessow
Islam Sobhy
Philippe Reymond
University of Lausanne · CHUniversity of Neuchâtel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The induction of plant defences and their subsequent suppression by insects is thought to be an important factor in the evolutionary arms race between plants and herbivores. Although insect oral secretions (OS) contain elicitors that trigger plant immunity, little is known about the suppressors of plant defences. The Arabidopsis thaliana transcriptome was analysed in response to wounding and OS treatment. The expression of several wound-inducible genes was suppressed after the application of OS from two lepidopteran herbivores, Pieris brassicae and Spodoptera littoralis. This inhibition was correlated with enhanced S. littoralis larval growth, pointing to an effective role of insect OS in suppressing plant defences. Two genes, an ERF/AP2 transcription factor and a proteinase inhibitor, were then studied in more detail. OS-induced suppression lasted for at least 48 h, was independent of the jasmonate or salicylate pathways, and was not due to known elicitors. Interestingly, insect OS attenuated leaf water loss, suggesting that insects have evolved mechanisms to interfere with the induction of water-stress-related defences.

Indexed as

AnimalsArabidopsisBiological AssayButterfliesCyclopentanesGene Expression ProfilingGene Expression Regulation, PlantHerbivoryLarvaMouthOligonucleotide Array Sequence AnalysisOxylipinsPlant LeavesRNA, PlantSalicylic AcidSignal TransductionCyclopentanesjasmonic acidOxylipinsRNA, PlantSalicylic Acid

Identifiers

PMID21994175
PMCPMC3254683
OpenAlexW2110661595

What OpenQuestion holds

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LicenceCC BY-NC
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.