Evidence map›Paper›PMID 24692421›Full record

ArticleThe Plant cell2014

Analysis of the Root System Architecture of Arabidopsis Provides a Quantitative Readout of Crosstalk between Nutritional Signals.

Fabian Kellermeier, Patrick Armengaud, Triona J Seditas, John Danku, David E Salt, Anna Amtmann

Abstract read
In one paragraph

Article in The Plant cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing 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

100 citing papers in PubMed.

  1. Article
  2. International journal of molecular sciences · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Antioxidant capacity and root KPlant cell reports · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Evolution of phosphate scouting in the terrestrial biosphere.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  12. Article
  13. Article
  14. Genetic regulation of lateral root development.Plant signaling & behavior · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Does Potassium (KInternational journal of molecular sciences · 2022
    Review
  20. An allelic variant in the ACS7 gene promotes primary root growth in watermelon.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article

40 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

6 authors.

Fabian KellermeierInstitute of Molecular, Cell, and Systems Biology, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
Patrick ArmengaudINRA, UMR1318 INRA-AgroParisTech, Institut Jean-Pierre Bourgin, INRA Centre de Versailles-Grignon, 78026 Versailles, France.
Triona J SeditasInstitute of Molecular, Cell, and Systems Biology, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
John DankuInstitute of Biological and Environmental Sciences, College of Life Sciences and Medicine, University of Aberdeen, Aberdeen AB24 3UU, United Kingdom.
David E SaltInstitute of Biological and Environmental Sciences, College of Life Sciences and Medicine, University of Aberdeen, Aberdeen AB24 3UU, United Kingdom.
Anna AmtmannInstitute of Molecular, Cell, and Systems Biology, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom anna.amtmann@glasgow.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/D006775/1
6 · The paper itself

Abstract

As plant roots forage the soil for food and water, they translate a multifactorial input of environmental stimuli into a multifactorial developmental output that manifests itself as root system architecture (RSA). Our current understanding of the underlying regulatory network is limited because root responses have traditionally been studied separately for individual nutrient deficiencies. In this study, we quantified 13 RSA parameters of Arabidopsis thaliana in 32 binary combinations of N, P, K, S, and light. Analysis of variance showed that each RSA parameter was determined by a typical pattern of environmental signals and their interactions. P caused the most important single-nutrient effects, while N-effects were strongly light dependent. Effects of K and S occurred mostly through nutrient interactions in paired or multiple combinations. Several RSA parameters were selected for further analysis through mutant phenotyping, which revealed combinations of transporters, receptors, and kinases acting as signaling modules in K-N interactions. Furthermore, nutrient response profiles of individual RSA features across NPK combinations could be assigned to transcriptionally coregulated clusters of nutrient-responsive genes in the roots and to ionome patterns in the shoots. The obtained data set provides a quantitative basis for understanding how plants integrate multiple nutritional stimuli into complex developmental programs.

Identifiers

PMID24692421
PMCPMC4036566

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.