Evidence map›Paper›PMID 28421105›Full record

ReviewFrontiers in plant science2017

Nitrate: A Crucial Signal during Lateral Roots Development.

Cui-Hui Sun, Jian-Qiang Yu, Da-Gang Hu

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
–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

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Nitrogen deficiency identifies carbon metabolism pathways and root adaptation in maize.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Nitrate Starvation Induces Lateral Root Organogenesis inInternational journal of molecular sciences · 2024
    Article
  12. Nitrate Signaling and Its Role in Regulating Flowering Time inInternational journal of molecular sciences · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Multiple forms of vitamin BStress biology · 2022
    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.

Cui-Hui SunNational Key Laboratory of Crop Biology, Shandong Agricultural UniversityTai'An, China.
Jian-Qiang YuMinistry of Agriculture Key Laboratory of Horticultural Crop Biology and Germplasm Innovation, Shandong Agricultural UniversityTai'An, China.
Da-Gang HuCollege of Horticulture Science and Engineering, Shandong Agricultural UniversityTai'An, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Root plasticity is an important trait for plants to forage nutrient and adapt to survival in a complicated environment. Lateral roots (LRs) are generally more sensitive than primary roots in response to changing environmental conditions. As the main source of nitrogen for most higher plants, nitrate acting as a signal has received great attention in the regulation of LR development. In general, there are dual effects including stimulatory and inhibitory of low nitrate on LR development; while high nitrate supply has an inhibitory effect on LR development; nitrate heterogeneity also has a stimulatory effect on LR development in [Formula: see text]- rich zone. Here, we focus on recent progresses in the role of a nitrate signal in the regulation of the LRs development.

Indexed as

hormoneslateral rootsLR developmentnitrateprimary roots

Identifiers

PMID28421105
PMCPMC5379155

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.