Evidence map›Paper›PMID 33873406›Full record

ReviewThe New phytologist2003

Phytochrome-hormonal signalling networks.

Karen J Halliday, Christian Fankhauser

Abstract readReview
PubMed Publisher
In one paragraph

Review in The New phytologist, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Signaling Mechanisms by Arabidopsis Cryptochromes.Frontiers in plant science · 2022
    Review
  15. Article
  16. Review
  17. Cell Suspension Culture ofIranian journal of biotechnology · 2019
    Article
  18. TheFrontiers in plant science · 2018
    Article
  19. Article
  20. 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

2 authors.

Karen J HallidaySchool of Biological Sciences, University of Bristol, Woodland Road, Bristol BS8 1UG, UK.
Christian FankhauserDepartment of Molecular Biology, Université de Genève, 30 quai E. Ansermet, CH-1211 Geneva 4, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Through time, plants have evolved an extraordinary ability to interpret environmental cues. One of the most reliable of these cues is light, and plants are particularly adept at sensing and translating environmental light signals. The phytochrome family of photoreceptors monitor cues such as daylength or vegetative shade and adjust development to reflect change in these parameters. Indeed, it is their ability to coordinate these complex developmental changes that underpins the remarkable success of plants. Evidence is mounting that hormones control many of these light-mediated changes. Therefore, if we are to understand how light manipulates development we need to explore the interplay between light and hormonal signalling. Toward this goal, this review highlights the known convergence points of the phytochrome and the hormonal networks and explores their interactions. Contents Summary 449 I. Introduction 449 II. The phytochrome protein 450 III. Bacteriophytochromes 450 IV. IBacteriophytochrome signalling 450 V. Plant phytochrome signalling 451 VI. Ethylene perception and signalling 451 VII. Cytokinin perception and signalling 452 VIII. Brassinosteroid perception and signalling 453 IX. Gibberellin signalling 455 X. Auxin signalling 456 XI. Proteolysis in light and hormonal signalling 458 XII. Conclusion 459 Acknowledgements 459 References 459.

Indexed as

ArabidopsisauxinbrassinosteroidcytokininethyleneGAgibberellinhormones

Identifiers

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.