Evidence map›Paper›PMID 29269383›Full record

ArticleMolecular systems biology2017

From network to phenotype: the dynamic wiring of an Arabidopsis transcriptional network induced by osmotic stress.

Lisa Van den Broeck, Marieke Dubois, Mattias Vermeersch, Veronique Storme, Minami Matsui, Dirk Inzé

Abstract read
In one paragraph

Article in Molecular systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. International journal of genomics · 2025
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  20. TheProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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

6 authors.

Lisa Van den BroeckDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.ORCID 0000-0003-0226-0757
Marieke DuboisDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.ORCID 0000-0002-5190-2130
Mattias VermeerschDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Veronique StormeDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Minami MatsuiRIKEN Center for Sustainable Resource Science, Kanagawa, Japan.
Dirk InzéDepartment of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium dirk.inze@psb.vib-ugent.be.ORCID 0000-0002-3217-8407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants have established different mechanisms to cope with environmental fluctuations and accordingly fine-tune their growth and development through the regulation of complex molecular networks. It is largely unknown how the network architectures change and what the key regulators in stress responses and plant growth are. Here, we investigated a complex, highly interconnected network of 20 Arabidopsis transcription factors (TFs) at the basis of leaf growth inhibition upon mild osmotic stress. We tracked the dynamic behavior of the stress-responsive TFs over time, showing the rapid induction following stress treatment, specifically in growing leaves. The connections between the TFs were uncovered using inducible overexpression lines and were validated with transient expression assays. This study resulted in the identification of a core network, composed of ERF6, ERF8, ERF9, ERF59, and ERF98, which is responsible for most transcriptional connections. The analyses highlight the biological function of this core network in environmental adaptation and its redundancy. Finally, a phenotypic analysis of loss-of-function and gain-of-function lines of the transcription factors established multiple connections between the stress-responsive network and leaf growth.

Indexed as

Gene Regulatory NetworksTranscription, GeneticAdaptation, PhysiologicalArabidopsisGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantGibberellinsMannitolOsmotic PressurePhenotypePlant LeavesPlants, Genetically ModifiedStochastic ProcessesStress, PhysiologicalTranscription Factorsgibberellic acidGibberellinsMannitolTranscription Factorsgrowth regulationmild osmotic stressshort‐term stress responsetranscriptional networktranscription factors

Identifiers

PMID29269383
PMCPMC5740496

What OpenQuestion holds

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LicenceCC BY
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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.