Evidence map›Paper›PMID 26842464›Full record

ArticleThe Plant cell2016

Time-Series Transcriptomics Reveals That AGAMOUS-LIKE22 Affects Primary Metabolism and Developmental Processes in Drought-Stressed Arabidopsis.

Ulrike Bechtold, Christopher A Penfold, Dafyd J Jenkins, Roxane Legaie, Jonathan D Moore, Tracy Lawson, Jack S A Matthews, Silvere R M Vialet-Chabrand, Laura Baxter, Sunitha Subramaniam and 19 more

Abstract read
In one paragraph

Article in The Plant cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

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  11. The Characterization of a Novel PrMADS11 Transcription Factor fromInternational journal of molecular sciences · 2024
    Article
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  13. Article
  14. Review
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  16. Article
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3 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

29 authors.

Ulrike BechtoldSchool of Biological Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom ubech@essex.ac.uk.ORCID http://orcid.org/0000-0003-2320-3890
Christopher A PenfoldSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom.
Dafyd J JenkinsSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom.
Roxane LegaieSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom.
Jonathan D MooreSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID http://orcid.org/0000-0002-5486-0407
Tracy LawsonSchool of Biological Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.
Jack S A MatthewsSchool of Biological Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.ORCID http://orcid.org/0000-0002-7282-8929
Silvere R M Vialet-ChabrandSchool of Biological Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.
Laura BaxterSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID http://orcid.org/0000-0003-3287-7547
Sunitha SubramaniamSchool of Biological Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.
Richard HickmanSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom.
Hannah FloranceCollege of Life and Environmental Sciences, University of Exeter, Exeter EX4 4QD, United Kingdom.ORCID http://orcid.org/0000-0003-3712-1589
Christine SamblesCollege of Life and Environmental Sciences, University of Exeter, Exeter EX4 4QD, United Kingdom.ORCID http://orcid.org/0000-0002-7219-0398
Deborah L SalmonCollege of Life and Environmental Sciences, University of Exeter, Exeter EX4 4QD, United Kingdom.ORCID http://orcid.org/0000-0002-2575-8278
Regina FeilMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany.
Laura BowdenSchool of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom.
Claire HillSchool of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom.
Neil R BakerSchool of Biological Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.ORCID http://orcid.org/0000-0002-2198-696X
John E LunnMax Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany.
Bärbel FinkenstädtDepartment of Statistics, University of Warwick, Coventry CV4 7AL, United Kingdom.
Andrew MeadSchool of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID http://orcid.org/0000-0002-4909-8235
Vicky Buchanan-WollastonSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom.
Jim BeynonSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom.
David A RandSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID http://orcid.org/0000-0002-2217-3274
David L WildSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom.
Katherine J DenbySystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID http://orcid.org/0000-0002-7857-6814
Sascha OttSystems Biology Centre, University of Warwick, Coventry CV4 7AL, United Kingdom.
Nicholas SmirnoffCollege of Life and Environmental Sciences, University of Exeter, Exeter EX4 4QD, United Kingdom.ORCID http://orcid.org/0000-0001-5630-5602
Philip M MullineauxSchool of Biological Sciences, University of Essex, Colchester CO4 3SQ, United Kingdom.ORCID http://orcid.org/0000-0002-1998-3540

Funding

Biotechnology and Biological Sciences Research Council BB/1001187_1Biotechnology and Biological Sciences Research Council BB/F005806/1Biotechnology and Biological Sciences Research Council BB/F005822/1Biotechnology and Biological Sciences Research Council BB/F011652/1Wellcome Trust
6 · The paper itself

Abstract

In Arabidopsis thaliana, changes in metabolism and gene expression drive increased drought tolerance and initiate diverse drought avoidance and escape responses. To address regulatory processes that link these responses, we set out to identify genes that govern early responses to drought. To do this, a high-resolution time series transcriptomics data set was produced, coupled with detailed physiological and metabolic analyses of plants subjected to a slow transition from well-watered to drought conditions. A total of 1815 drought-responsive differentially expressed genes were identified. The early changes in gene expression coincided with a drop in carbon assimilation, and only in the late stages with an increase in foliar abscisic acid content. To identify gene regulatory networks (GRNs) mediating the transition between the early and late stages of drought, we used Bayesian network modeling of differentially expressed transcription factor (TF) genes. This approach identified AGAMOUS-LIKE22 (AGL22), as key hub gene in a TF GRN. It has previously been shown that AGL22 is involved in the transition from vegetative state to flowering but here we show that AGL22 expression influences steady state photosynthetic rates and lifetime water use. This suggests that AGL22 uniquely regulates a transcriptional network during drought stress, linking changes in primary metabolism and the initiation of stress responses.

Indexed as

Gene Expression Regulation, PlantAbscisic AcidArabidopsisArabidopsis ProteinsBayes TheoremCluster AnalysisDroughtsGene Regulatory NetworksMutationPhenotypePhotosynthesisPlant Growth RegulatorsStress, PhysiologicalTranscription FactorsAbscisic AcidArabidopsis ProteinsPlant Growth RegulatorsSVP protein, ArabidopsisTranscription Factors

Identifiers

PMID26842464
PMCPMC4790877

What OpenQuestion holds

Textmetadata
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.