Evidence map›Paper›PMID 28484671›Full record

ArticlePeerJ2017

Genome-wide analysis of WRKY transcription factors in wheat (

Pan Ning, Congcong Liu, Jingquan Kang, Jinyin Lv

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Characteristics and Expression Profiles of IdentifiedInternational journal of molecular sciences · 2025
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  6. Identification of theFrontiers in plant science · 2025
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  7. Article
  8. Article
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  10. Article
  11. Genome-wide investigation of WRKY gene family inFrontiers in plant science · 2024
    Article
  12. Expression identification of threePlant signaling & behavior · 2023
    Article
  13. WRKY Transcription Factors inBiomolecules · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Comprehensive analysis of the WRKY gene family inFrontiers in plant science · 2023
    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

4 authors at 2 institutions in 1 country.

Pan NingCollege of Science, Northwest Agriculture and Forestry University, Yangling, Shaanxi, China.
Congcong LiuCollege of Animal Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
Jingquan KangCollege of Life Science, Northwest Agriculture and Forestry University, Yangling, Shaanxi, China.
Jinyin LvCollege of Life Science, Northwest Agriculture and Forestry University, Yangling, Shaanxi, China.
Northwest A&F University · CNHuazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWRKY proteins, which comprise one of the largest transcription factor (TF) families in the plant kingdom, play crucial roles in plant development and stress responses. Despite several studies on WRKYs in wheat (

resultsHere, 171 TaWRKY TFs were identified from the whole wheat genome and compared with proteins from 19 other species representing nine major plant lineages. A phylogenetic analysis, coupled with gene structure analysis and motif determination, divided these TaWRKYs into seven subgroups (Group I, IIa-e, and III). Chromosomal location showed that most

conclusionOur results provide a more extensive insight on

Indexed as

ExpressionWater deficitWheatWRKY

Identifiers

PMID28484671
PMCPMC5420200
OpenAlexW2598564168

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.