Evidence map›Paper›PMID 37540249›Full record

ArticleApplied microbiology and biotechnology2023

Synergistic biocontrol of Bacillus subtilis and Pseudomonas fluorescens against early blight disease in tomato.

Yinxue Jia, Huan Niu, Peng Zhao, Xing Li, Fangfang Yan, Can Wang, Zhongping Qiu

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
10.3field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Genomic Insights and Antifungal Efficacy ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  5. Biocontrol strategies for fungal diseases ofFrontiers in microbiology · 2026
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Microorganisms · 2024
    Article
  13. Review
  14. Review
  15. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Yinxue JiaSchool of Life Science and Engineering, Southwest Jiaotong University, No. 111 Second Ring Road, Chengdu, 610031, Sichuan, People's Republic of China.
Huan NiuSchool of Life Science and Engineering, Southwest Jiaotong University, No. 111 Second Ring Road, Chengdu, 610031, Sichuan, People's Republic of China.
Peng ZhaoSchool of Life Science and Engineering, Southwest Jiaotong University, No. 111 Second Ring Road, Chengdu, 610031, Sichuan, People's Republic of China.
Xing LiSchool of Life Science and Engineering, Southwest Jiaotong University, No. 111 Second Ring Road, Chengdu, 610031, Sichuan, People's Republic of China.
Fangfang YanPanzhihua City Company, Sichuan Tobacco Company, China National Tobacco Corporation, Panzhihua, 617000, Sichuan, People's Republic of China.
Can WangSchool of Life Science and Engineering, Southwest Jiaotong University, No. 111 Second Ring Road, Chengdu, 610031, Sichuan, People's Republic of China. wangcan@swjtu.edu.cn.
Zhongping QiuSchool of Life Science and Engineering, Southwest Jiaotong University, No. 111 Second Ring Road, Chengdu, 610031, Sichuan, People's Republic of China. zhpqiu@home.swjtu.edu.cn.ORCID http://orcid.org/0000-0002-1440-1708
Southwest Jiaotong University · CNChina Tobacco · CN

Funding

Chengdu Science and Technology Program 2022-YF05-00269-SNChengdu Science and Technology Program 2022-YF05-00909-SNChina National Tobacco Corporation SCYC202109Fundamental Research Funds for the Central Universities 2682021CX084Fundamental Research Funds for the Central Universities 2682022CX057National Natural Science Foundation of China No. 42207021National Natural Science Foundation of China (No.51978576Sichuan Province Science and Technology Support Program 2023YFSY0011Sichuan Province Science and Technology Support Program 2023ZHCG0058Sichuan Provincial Postdoctoral Science Foundation 2022M712630
6 · The paper itself

Abstract

Early blight of tomato caused by Alternaria solani results in significant crop losses. In this study, Bacillus subtilis J3 and Pseudomonas fluorescens J8 were co-cultured as a synthetic microbial community (BCA) for synergistic biocontrol of A. solani, and the inhibition mechanism was investigated. BCA presented an inhibition ration against A. solani at 94.91%, which lowered the disease incidence by 38.26-42.87%; reduced peroxidase, catalase, superoxide dismutase activity of tomatoes by 73.11-90.22%; and promoted the biomass by 66.91-489.21%. With BCA protection, the relative expression of tomato resistance genes (including gPAL2, SWRKY, PR-10, and CHI) in roots and leaves was 12.83-90.70% lower than without protection. BCA also significantly altered the rhizosphere and phyllosphere microbial community. The abundance of potentially beneficial bacteria, including Bacillus, Pseudomonas, Arthrobacter, Lysobacter, and Rhizobium, elevated by 6.58-192.77%. They were negatively correlated with resistance gene expression, indicating their vital involvement in disease control. These results provided essential information on the synergistic biocontrol mechanism of bacteria against pathogens, which could contribute to developing novel biocontrol strategies. KEY POINTS: • Bacillus and Pseudomonas present a synergistic biocontrol effect against A. solani. • Biocontrol prevents pathogen damage and improves tomato growth and systemic resistance. • Beneficial bacteria thrive in the rhizosphere is the key to microbial regulation.

Indexed as

BacillusPseudomonas fluorescensSolanum lycopersicumBacillus subtilisPlant DiseasesPseudomonasAlternaria solaniBiocontrol agentMicrobial diversitySynergistic inhibitionSystemic resistance

Identifiers

PMID37540249
OpenAlexW4385564372

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.