Evidence map›Paper›PMID 37445664›Full record

ArticleInternational journal of molecular sciences2023

Yuxuan Zhao, Shuotian Huang, Lihui Wei, Meng Li, Tingting Cai, Xiangqing Ma, Peng Shuai

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 23% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Yuxuan ZhaoCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Shuotian HuangCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Lihui WeiCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Meng LiCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Tingting CaiCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Xiangqing MaCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Peng ShuaiCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0002-1156-2338
State Forestry and Grassland Administration · CN

Funding

National Natural Science Foundation of China 31600481National Natural Science Foundation of China 31971626special fund project for scientific and technological innovation of Fujian Agriculture and Forestry University CXZX2020034A
6 · The paper itself

Abstract

Phosphate (Pi) deficiency is one of the most limiting factors for Chinese fir growth and production. Moreover, continuous cultivation of Chinese fir for multiple generations led to the reduction of soil nutrients, which hindered the yield of Chinese fir in southern China. Although NAC (NAM, ATAF, and CUC) transcription factors (TFs) play critical roles in plant development and abiotic stress resistance, it is still unclear how they regulate the response of Chinese fir to phosphate (Pi) starvation. Based on Pi-deficient transcriptome data of Chinses fir root, we identified a NAC transcription factor with increased expression under Pi deficiency, which was obtained by PCR and named

Indexed as

CunninghamiaTranscription FactorsGene Expression Regulation, PlantPhosphatesSaccharomyces cerevisiaePhosphatesTranscription FactorsCunninghamia lanceolatahormoneNACphosphate starvationstress

Identifiers

PMID37445664
PMCPMC10341961
OpenAlexW4381805834

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.