Evidence map›Paper›PMID 26048869›Full record

ArticleThe Plant cell2015

Involvement of Arabidopsis Hexokinase1 in Cell Death Mediated by Myo-Inositol Accumulation.

Quentin Bruggeman, Florence Prunier, Christelle Mazubert, Linda de Bont, Marie Garmier, Raphaël Lugan, Moussa Benhamed, Catherine Bergounioux, Cécile Raynaud, Marianne Delarue

Abstract read
In one paragraph

Article in The Plant cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. TheFrontiers in plant science · 2022
    Article
  10. Dynamic Nutrient Signaling Networks in Plants.Annual review of cell and developmental biology · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Horticulture research · 2020
    Article
  16. Article
  17. Article
  18. Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  19. Article
  20. 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

10 authors.

Quentin BruggemanUniversité Paris-Sud, Institute of Plant Sciences Paris-Saclay IPS2 (Bâtiment 630), UMR CNRS-INRA 9213, Saclay Plant Sciences, 91405 Orsay, France.
Florence PrunierUniversité Paris-Sud, Institute of Plant Sciences Paris-Saclay IPS2 (Bâtiment 630), UMR CNRS-INRA 9213, Saclay Plant Sciences, 91405 Orsay, France.
Christelle MazubertUniversité Paris-Sud, Institute of Plant Sciences Paris-Saclay IPS2 (Bâtiment 630), UMR CNRS-INRA 9213, Saclay Plant Sciences, 91405 Orsay, France.
Linda de BontUniversité Paris-Sud, Institute of Plant Sciences Paris-Saclay IPS2 (Bâtiment 630), UMR CNRS-INRA 9213, Saclay Plant Sciences, 91405 Orsay, France.
Marie GarmierUniversité Paris-Sud, Institute of Plant Sciences Paris-Saclay IPS2 (Bâtiment 630), UMR CNRS-INRA 9213, Saclay Plant Sciences, 91405 Orsay, France.
Raphaël LuganInstitut de Biologie Moléculaire des Plantes, Unité Propre de Recherche 2357 CNRS, Université de Strasbourg, 67084 Strasbourg Cedex, France.
Moussa BenhamedUniversité Paris-Sud, Institute of Plant Sciences Paris-Saclay IPS2 (Bâtiment 630), UMR CNRS-INRA 9213, Saclay Plant Sciences, 91405 Orsay, France Division of Biological and Environmental Sciences and Engineering, Center for Desert Agriculture, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Catherine BergouniouxUniversité Paris-Sud, Institute of Plant Sciences Paris-Saclay IPS2 (Bâtiment 630), UMR CNRS-INRA 9213, Saclay Plant Sciences, 91405 Orsay, France.
Cécile RaynaudUniversité Paris-Sud, Institute of Plant Sciences Paris-Saclay IPS2 (Bâtiment 630), UMR CNRS-INRA 9213, Saclay Plant Sciences, 91405 Orsay, France.
Marianne DelarueUniversité Paris-Sud, Institute of Plant Sciences Paris-Saclay IPS2 (Bâtiment 630), UMR CNRS-INRA 9213, Saclay Plant Sciences, 91405 Orsay, France marianne.delarue@u-psud.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmed cell death (PCD) is essential for several aspects of plant life, including development and stress responses. We recently identified the mips1 mutant of Arabidopsis thaliana, which is deficient for the enzyme catalyzing the limiting step of myo-inositol (MI) synthesis. One of the most striking features of mips1 is the light-dependent formation of lesions on leaves due to salicylic acid (SA)-dependent PCD. Here, we identified a suppressor of PCD by screening for mutations that abolish the mips1 cell death phenotype. Our screen identified the hxk1 mutant, mutated in the gene encoding the hexokinase1 (HXK1) enzyme that catalyzes sugar phosphorylation and acts as a genuine glucose sensor. We show that HXK1 is required for lesion formation in mips1 due to alterations in MI content, via SA-dependant signaling. Using two catalytically inactive HXK1 mutants, we also show that hexokinase catalytic activity is necessary for the establishment of lesions in mips1. Gas chromatography-mass spectrometry analyses revealed a restoration of the MI content in mips1 hxk1 that it is due to the activity of the MIPS2 isoform, while MIPS3 is not involved. Our work defines a pathway of HXK1-mediated cell death in plants and demonstrates that two MIPS enzymes act cooperatively under a particular metabolic status, highlighting a novel checkpoint of MI homeostasis in plants.

Indexed as

ArabidopsisArabidopsis ProteinsCell DeathGas Chromatography-Mass SpectrometryGenes, PlantHexokinaseInositolArabidopsis ProteinsATHXK1 protein, ArabidopsisHexokinaseInositol

Identifiers

PMID26048869
PMCPMC4498202

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.