Evidence map›Paper›PMID 37324687›Full record

ArticleFrontiers in plant science2023

Identification of an epicuticular wax crystal deficiency gene

Gengxing Song, Chuanhong Liu, Bing Fang, Jie Ren, Hui Feng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. ABC transporter BrABCG12 mutation results in tender green glossy leaves in Chinese cabbage.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  3. Article
  4. Article
  5. Mutations in BrMYB31 lead to a glossy phenotype caused by a deficiency in epidermal wax crystals in Chinese cabbage.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    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

5 authors at 1 institution in 1 country.

Gengxing SongCollege of Horticulture, Shenyang Agricultural University, Shenyang, China.
Chuanhong LiuCollege of Horticulture, Shenyang Agricultural University, Shenyang, China.
Bing FangCollege of Horticulture, Shenyang Agricultural University, Shenyang, China.
Jie RenCollege of Horticulture, Shenyang Agricultural University, Shenyang, China.
Hui FengCollege of Horticulture, Shenyang Agricultural University, Shenyang, China.
Shenyang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The cuticle wax covering the plant surface is a whitish hydrophobic protective barrier in Chinese cabbage, and the epicuticular wax crystal deficiency normally has higher commodity value for a tender texture and glossy appearance. Herein, two allelic epicuticular wax crystal deficiency mutants, Methods: The cuticle wax morphology was observed by Cryo-scanning electron microscopy (Cryo-SEM) and the composition of wax was determined by GC-MS. The candidate mutant gene was found by MutMap and validated by KASP. The function of candidate gene was verified by allelic variation. Results: The mutants had fewer wax crystals and lower leaf primary alcohol and ester content. Genetic analysis revealed that the epicuticular wax crystal deficiency phenotype was controlled by a recessive nuclear gene, named Brwdm1. MutMap and KASP analyses indicated that Discussion: These results indicated that

Indexed as

allelic mutantsChinese cabbageEMS mutagenesisepicuticular wax crystals deficiencyprimary alcohols

Identifiers

PMID37324687
PMCPMC10267742
OpenAlexW4379056716

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.