Evidence map›Paper›PMID 36247555›Full record

ArticleFrontiers in plant science2022

Interaction of BES1 and LBD37 transcription factors modulates brassinosteroid-regulated root forging response under low nitrogen in arabidopsis.

Shuli Chai, Junhua Chen, Xiaolan Yue, Chenlin Li, Qiang Zhang, Víctor Resco de Dios, Yinan Yao, Wenrong Tan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 6% of its field
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

13 citing papers in PubMed, 22 citations in OpenAlex.

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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

8 authors at 1 institution in 2 countries.

Shuli ChaiSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Junhua ChenSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Xiaolan YueSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Chenlin LiSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Qiang ZhangSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Víctor Resco de DiosSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Yinan YaoSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Wenrong TanSchool of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China.
Southwest University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brassinosteriod (BR) plays important roles in regulation of plant growth, development and environmental responses. BR signaling regulates multiple biological processes through controlling the activity of BES1/BZR1 regulators. Apart from the roles in the promotion of plant growth, BR is also involved in regulation of the root foraging response under low nitrogen, however how BR signaling regulate this process remains unclear. Here we show that BES1 and LBD37 antagonistically regulate root foraging response under low nitrogen conditions. Both the transcriptional level and dephosphorylated level of BES1, is significant induced by low nitrogen, predominantly in root. Phenotypic analysis showed that

Indexed as

BES1 transcription factorbrassinosteriodsLBD37low nitrogenroot forging response

Identifiers

PMID36247555
PMCPMC9555238
OpenAlexW4297494375

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.