Evidence map›Paper›PMID 32575463›Full record

ArticlePlants (Basel, Switzerland)2020

Transcriptome Analysis of High-NUE (T29) and Low-NUE (T13) Genotypes Identified Different Responsive Patterns Involved in Nitrogen Stress in Ramie (

Longtao Tan, Gang Gao, Chunming Yu, Aiguo Zhu, Ping Chen, Kunmei Chen, Jikang Chen, Heping Xiong

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Genome-Wide Analysis of AP2/ERF Gene Superfamily in Ramie (International journal of molecular sciences · 2022
    Article
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Longtao TanInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China.
Gang GaoInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China.ORCID 0000-0003-4259-9683
Chunming YuInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China.
Aiguo ZhuInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China.
Ping ChenInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China.
Kunmei ChenInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China.
Jikang ChenInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China.ORCID 0000-0003-0878-7373
Heping XiongInstitute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha 410205, China.
Institute of Bast Fiber Crops · CNChinese Academy of Sciences · CN

Funding

Central Public-interest Scientific Institution Basal Research Fund No.1610242020001China Agriculture Research System for Bast and Leaf Fiber Crops CARS-16National Natural Science Foundation of China 31701477
6 · The paper itself

Abstract

Nitrogen-use efficiency (NUE) has significant impacts on plant growth and development. NUE in plants differs substantially in physiological resilience to nitrogen stress; however, the molecular mechanisms underlying enhanced resilience of high-NUE plants to nitrogen deficiency remains unclear. We compared transcriptome-wide gene expression between high-NUE and low-NUE ramie (

Indexed as

nitrogen deficiencynitrogen-use efficiencyramie (Boehmeria nivea (L.) Gaudich)resiliencetranscriptome

Identifiers

PMID32575463
PMCPMC7356044
OpenAlexW3036118075

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.