Evidence map›Paper›PMID 30593507›Full record

ArticleThe Journal of biological chemistry2019

Transcriptional regulators involved in responses to volatile organic compounds in plants.

Ayumi Nagashima, Takumi Higaki, Takao Koeduka, Ken Ishigami, Satoko Hosokawa, Hidenori Watanabe, Kenji Matsui, Seiichiro Hasezawa, Kazushige Touhara

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 106 citations in OpenAlex.

  1. Article
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  5. Molecular insights into volatile organic compound sensing and signaling in plants.The Plant journal : for cell and molecular biology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Volatile organic compounds inHorticulture research · 2025
    Article
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  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
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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

9 authors at 4 institutions in 2 countries.

Ayumi NagashimaFrom the Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences.
Takumi Higakithe Department of Integrated Biosciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo 277-8562, Japan.
Takao Koedukathe Department of Biological Chemistry, Faculty of Agriculture and Division of Agricultural Sciences, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 753-8515, Japan, and.ORCID 0000-0002-0786-3242
Ken IshigamiFrom the Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences.
Satoko HosokawaFrom the Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences.
Hidenori WatanabeFrom the Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences.
Kenji Matsuithe Department of Biological Chemistry, Faculty of Agriculture and Division of Agricultural Sciences, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 753-8515, Japan, and.
Seiichiro Hasezawathe Department of Integrated Biosciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo 277-8562, Japan.
Kazushige TouharaFrom the Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, ktouhara@mail.ecc.u-tokyo.ac.jp.ORCID 0000-0001-7856-0786
Graduate School USA · USJapan Science and Technology Agency · JPThe University of Tokyo · JPYamaguchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Field studies have shown that plants growing next to herbivore-infested plants acquire higher resistance to herbivore damage. This increased resistance is partly due to regulation of plant gene expression by volatile organic compounds (VOCs) released by plants that sense environmental challenges such as herbivores. The molecular basis for VOC sensing in plants, however, is poorly understood. Here, we report the identification of TOPLESS-like proteins (TPLs) that have VOC-binding activity and are involved in VOC sensing in tobacco. While screening for volatiles that induce stress-responsive gene expression in tobacco BY-2 cells and tobacco plants, we found that some sesquiterpenes induce the expression of stress-responsive genes. These results provided evidence that plants sense these VOCs and motivated us to analyze the mechanisms underlying volatile sensing using tobacco as a model system. Using a pulldown assay with caryophyllene derivative-linked beads, we identified TPLs as transcriptional co-repressors that bind volatile caryophyllene analogs. Overexpression of TPLs in cultured BY-2 cells or tobacco leaves reduced caryophyllene-induced gene expression, indicating that TPLs are involved in the responses to caryophyllene analogs in tobacco. We propose that unlike animals, which use membrane receptors for sensing odorants, a transcriptional co-repressor plays a role in sensing and mediating VOC signals in plant cells.

Indexed as

NicotianaPlant ProteinsGene Expression Regulation, PlantPlant CellsSignal TransductionStress, PhysiologicalTranscription, GeneticVolatile Organic CompoundsPlant ProteinsVolatile Organic Compoundschemical sensingdefense inductiongene regulationligand-binding proteinodorantolfactionplant biochemistryplant volatile perceptionreceptortranscriptional co-repressor proteintranscription corepressortranscription factortranscription regulationvolatile organic compounds (VOCs)

Identifiers

PMID30593507
PMCPMC6378981
OpenAlexW2907084113

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.