Evidence map›Paper›PMID 30126866›Full record

ArticlePlant physiology2018

Identification of a Hexenal Reductase That Modulates the Composition of Green Leaf Volatiles.

Toshiyuki Tanaka, Ayana Ikeda, Kaori Shiojiri, Rika Ozawa, Kazumi Shiki, Naoko Nagai-Kunihiro, Kenya Fujita, Koichi Sugimoto, Katsuyuki T Yamato, Hideo Dohra and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.1field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 71 citations in OpenAlex.

  1. Molecular insights into volatile organic compound sensing and signaling in plants.The Plant journal : for cell and molecular biology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. The Chemical Ecology of Plant Natural Products.Progress in the chemistry of organic natural products · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Exploring chemical diversity inFrontiers in plant science · 2022
    Article
  15. Molecular mechanisms of resistance toFrontiers in plant science · 2022
    Article
  16. Article
  17. Green Leaf Volatile-Burst inFrontiers in plant science · 2021
    Article
  18. Article
  19. Article
  20. 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

13 authors at 5 institutions in 1 country.

Toshiyuki TanakaDivision of Agricultural Sciences, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 753-8515, Japan.
Ayana IkedaDepartment of Biological Chemistry, Faculty of Agriculture, Yamaguchi University, Yamaguchi 753-8515, Japan.
Kaori ShiojiriDepartment of Agriculture, Ryukoku University, Otsu, Shiga 520-2194, Japan.
Rika OzawaCenter for Ecological Research, Kyoto University, Otsu, Shiga 520-2113, Japan.
Kazumi ShikiDivision of Agricultural Sciences, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 753-8515, Japan.
Naoko Nagai-KunihiroDivision of Agricultural Sciences, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 753-8515, Japan.
Kenya FujitaDepartment of Biological Chemistry, Faculty of Agriculture, Yamaguchi University, Yamaguchi 753-8515, Japan.
Koichi SugimotoDivision of Agricultural Sciences, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 753-8515, Japan.ORCID 0000-0002-8335-1396
Katsuyuki T YamatoFaculty of Biology-Oriented Science and Technology, Kindai University, Kinokawa, Wakayama 649-6493, Japan.ORCID 0000-0002-7130-0911
Hideo DohraInstrumental Research Support Office, Research Institute of Green Science and Technology, Shizuoka University, Shizuoka 422-8529, Japan.
Toshiyuki OhnishiCollege of Agriculture, Academic Institute, Shizuoka University, Shizuoka 422-8529, Japan.ORCID 0000-0001-6862-9639
Takao KoedukaDivision of Agricultural Sciences, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 753-8515, Japan.ORCID 0000-0002-0786-3242
Kenji MatsuiDivision of Agricultural Sciences, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 753-8515, Japan matsui@yamaguchi-u.ac.jp.ORCID 0000-0002-4875-5176
Yamaguchi University · JPShizuoka University · JPKindai University · JPKyoto University · JPRyukoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green leaf volatiles (GLVs), including six-carbon (C6) aldehydes, alcohols, and esters, are formed when plant tissues are damaged. GLVs play roles in direct plant defense at wound sites, indirect plant defense via the attraction of herbivore predators, and plant-plant communication. GLV components provoke distinctive responses in their target recipients; therefore, the control of GLV composition is important for plants to appropriately manage stress responses. The reduction of C6-aldehydes into C6-alcohols is a key step in the control of GLV composition and also is important to avoid a toxic buildup of C6-aldehydes. However, the molecular mechanisms behind C6-aldehyde reduction remain poorly understood. In this study, we purified an Arabidopsis (

Indexed as

Alcohol OxidoreductasesAlcoholsAldehydesArabidopsisArabidopsis ProteinsEstersHexobarbitalMutationOxidoreductasesPhylogenyPlant LeavesVolatile Organic CompoundsAlcohol OxidoreductasesAlcoholsAldehydesArabidopsis ProteinsCAD7 protein, ArabidopsisEstersHexobarbitalOxidoreductasesVolatile Organic Compounds

Identifiers

PMID30126866
PMCPMC6181032
OpenAlexW2888602196

What OpenQuestion holds

Textmetadata
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.