Evidence map›Paper›PMID 12090623›Full record

ArticlePlant molecular biology2002

Wounding activates immediate early transcription of genes for ERFs in tobacco plants.

Takumi Nishiuchi, Kaoru Suzuki, Sakihito Kitajima, Fumihiko Sato, Hideaki Shinshi

Abstract read
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In one paragraph

Article in Plant molecular biology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.0field-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

17 citing papers in PubMed, 38 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Takumi NishiuchiInstitute of Molecular and Cell Biology, National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan.
Kaoru Suzuki
Sakihito Kitajima
Fumihiko Sato
Hideaki Shinshi
Kyoto University · JPNational Institute of Advanced Industrial Science and Technology · JPKanazawa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have previously demonstrated that cutting induces the rapid response of genes for ethylene-responsive transcription factors (ERFs) in leaf strips of tobacco, and that the induction was not interfered but enhanced in the presence of the protein synthesis inhibitor cycloheximide (CHX). In this study, we analyzed the expression of genes for ERFs in tobacco plants by injuring leaf tissues with a hemostat. The results verified that mechanical damage is a trigger for rapid and concurrent induction of both the local and the systemic expression of genes for ERFs in tobacco plants. Further studies on systemic response of ERF genes in response to different severity and position of the wound on a leaf suggested that a threshold value might exist for the magnitude of wound signal to induce systemic activation of these genes. Then, we examined expression of genes for ERFs by analysis in transgenic tobacco plants that harbored reporter genes in which the promoter of the gene for NsERF2, NsERF3 or NsERF4 was fused to a gene for beta-glucuronidase. The results suggested that the local and systemic accumulation of ERF mRNAs after wounding was primarily mediated by the rapid activation of transcription of the respective genes. In addition, we found that cycloheximide triggered rapid activation of genes for ERFs which might be mediated via activation of transcription of the genes for ERFs.

Indexed as

EthylenesGene Expression Regulation, PlantNicotianaRNA, MessengerStress, MechanicalTranscription FactorsTranscription, GeneticethyleneEthylenesRNA, MessengerTranscription Factors

Identifiers

PMID12090623
OpenAlexW2906737

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.