Evidence map›Paper›PMID 41033675›Full record

ArticleThe plant pathology journal2025

Volatile Organic Compounds from Pseudomonas koreensis KF32 and P. fitomaticsae KF45 Suppress Ralstonia pseudosolanacearum and Reduce Bacterial Wilt in Tomato.

Mi Jin Jeon, Mee Kyung Sang

Abstract read
In one paragraph

Article in The plant pathology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

2 authors.

Mi Jin JeonDivision of Agricultural Microbiology, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea.
Mee Kyung SangDivision of Agricultural Microbiology, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 55365, Korea.

Funding

National Institute of Agricultural Sciences PJ01744603Rural Development Administration
6 · The paper itself

Abstract

Bacterial wilt caused by Ralstonia pseudosolanacearum is a destructive disease with a broad host range and global impact. To explore eco-friendly biocontrol strategies for bacterial wilt, we screened Pseudomonas strains that produce volatile organic compounds (VOCs) with antibacterial activity against R. pseudosolanacearum and potential biocontrol effects on tomato bacterial wilt. We evaluated antibacterial activity of VOCs produced by bacterial strains using on I-plate, and conducted plant assays against of bacterial wilt tomato plant. Two strains, KF32 and KF45, were identified as Pseudomonas koreensis, and P. fitomaticsae, respectively. Their VOCs significantly inhibited R. pseudosolanacearum growth in vitro and reduced disease incidence in tomato plants. Transcriptomic analysis was performed on R. pseudosolanacearum exposed to VOCs from strains KF32 and KF45. RNA sequencing revealed that VOCs from KF32 and KF45 downregulated genes related to cell motility and xenobiotic degradation of the pathogen. We analyzed VOCs produced by strains KF32 and KF45 using gas chromatography-mass spectrometry. Among the identified VOCs, 2-decanone which was produced by strain KF32 significantly inhibited the growth of R. pseudosolanacearum and reduced tomato bacterial wilt symptoms. This study highlights the potential of VOC-producing Pseudomonas strains KF32 and KF45 as biocontrol agents and contributing to the development of long-term strategies for managing bacterial wilt in tomato. Furthermore, understanding VOC-mediated interactions provides valuable insights for developing improved strategies to manage plant pathogenic bacteria.

Indexed as

antibacterialRalstonia pseudosolanacearumvolatile compounds

Identifiers

PMID41033675
PMCPMC12488375

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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.