Evidence map›Paper›PMID 26994997›Full record

ReviewPlant molecular biology2016

CLE peptide signaling and nitrogen interactions in plant root development.

Takao Araya, Nicolaus von Wirén, Hideki Takahashi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Plant molecular biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Mutation ofFrontiers in plant science · 2023
    Article
  3. Article
  4. Roles of Non-Coding RNAs in Response to Nitrogen Availability in Plants.International journal of molecular sciences · 2020
    Review
  5. Review
  6. Review
  7. MtSSPdb: ThePlant physiology · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

3 authors.

Takao ArayaLeibniz Institute of Plant Genetics and Crop Plant Research, 06466, Gatersleben, Germany.
Nicolaus von WirénLeibniz Institute of Plant Genetics and Crop Plant Research, 06466, Gatersleben, Germany.
Hideki TakahashiDepartment of Biochemistry and Molecular Biology, Michigan State University, 603 Wilson Road, East Lansing, MI, 48824, USA. htakaha@msu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The CLAVATA signaling pathway is essential for the regulation of meristem activities in plants. This signaling pathway consists of small signaling peptides of the CLE family interacting with CLAVATA1 and leucine-rich repeat receptor-like kinases (LRR-RLKs). The peptide-receptor relationships determine the specificities of CLE-dependent signals controlling stem cell fate and differentiation that are critical for the establishment and maintenance of shoot and root apical meristems. Plants root systems are highly organized into three-dimensional structures for successful anchoring and uptake of water and mineral nutrients from the soil environment. Recent studies have provided evidence that CLE peptides and CLAVATA signaling pathways play pivotal roles in the regulation of lateral root development and systemic autoregulation of nodulation (AON) integrated with nitrogen (N) signaling mechanisms. Integrations of CLE and N signaling pathways through shoot-root vascular connections suggest that N demand modulates morphological control mechanisms and optimize N uptake as well as symbiotic N fixation in roots.

Indexed as

MeristemModels, BiologicalNitrogenPeptidesPlant RootsSignal TransductionNitrogenPeptidesCLAVATACLENitrogenNodule developmentRoot developmentSmall signaling peptide

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.