Evidence map›Paper›PMID 41199522›Full record

ArticleMicrobial biotechnology2025

Modulating Surfactin Biosynthesis in Bacillus subtilis R31 Enhances Behavioural Traits and Biocontrol Efficacy Against Banana Fusarium Wilt.

Hao-Jun Chen, Yue Liu, Yun-Shan Zhong, Ming-Ze Li, Jia-Jun Lai, Yan-Yu Luo, Shao-Li Huang, Shao-Qing Liu, Guo-Hui Yu, Yun-Hao Sun and 1 more

Abstract read
In one paragraph

Article in Microbial biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

11 authors.

Hao-Jun ChenCollege of Agriculture and Biology, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, China.ORCID 0000-0003-3717-2693
Yue LiuCollege of Agriculture and Biology, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Yun-Shan ZhongCollege of Agriculture and Biology, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Ming-Ze LiCollege of Agriculture and Biology, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Jia-Jun LaiCollege of Agriculture and Biology, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Yan-Yu LuoGuangzhou Academy of Agricultural and Rural Sciences, Guangzhou, China.
Shao-Li HuangGuangzhou Academy of Agricultural and Rural Sciences, Guangzhou, China.
Shao-Qing LiuGuangzhou Academy of Agricultural and Rural Sciences, Guangzhou, China.
Guo-Hui YuCollege of Agriculture and Biology, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Yun-Hao SunCollege of Agriculture and Biology, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Ming-Wei ShaoCollege of Agriculture and Biology, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Zhongkai University of Agriculture and Engineering, Guangzhou, China.

Funding

Guangdong Province Key Area Research and Development Program 2023B0202010012Guangdong Province Key Discipline Research Capacity Enhancement Project 2021ZDJS002Guangxi Key Laboratory of Crop Pest Biology Foundation 22-035-31-23KF03Guangzhou Municipal Science and Technology Project 202206010083National Natural Science Foundation of China 32302450
6 · The paper itself

Abstract

Surfactin, a lipopeptide antibiotic and quorum-sensing (QS) mediator from Bacillus subtilis, has dual functions in microbial ecology and plant disease suppression. This study engineered B. subtilis R31 to overproduce comK and phrC, key regulators of surfactin biosynthesis, increasing surfactin yield by 45% compared to the WT strain. While elevated surfactin enhanced antimicrobial potential, comK-mediated overproduction impaired biofilm formation and swarming motility, but rhizosphere colonisation was mostly unaffected. 16S rRNA sequencing of banana rhizospheres showed that surfactin selectively shaped the microbial community by enriching beneficial Bacillus species. Mechanistic studies confirmed surfactin's dual role as an antimicrobial and an intercellular signalling molecule for coordinated development in Bacillus populations. These results reveal the molecular mechanisms of R31-mediated suppression of banana Fusarium wilt and offer a strategy for engineering synthetic microbial consortia by manipulating metabolic signalling pathways.

Indexed as

Bacillus subtilisFusariumLipopeptidesMusaPeptides, CyclicPlant DiseasesBacterial ProteinsBiofilmsDNA, RibosomalMetabolic EngineeringQuorum SensingRhizosphereRNA, Ribosomal, 16SBacterial ProteinsDNA, RibosomalLipopeptidesPeptides, CyclicRNA, Ribosomal, 16Ssurfactin peptideBacillus subtilis R31biological controlFusarium wilt of bananasurfactin

Identifiers

PMID41199522
PMCPMC12592238

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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.