JOURNAL ARTICLE

Molecular characterization of an endophytic strain of Bacillus subtilis with plant growth-promoting properties from a wild relative of papaya.

  • Published In: Journal of Applied Microbiology, 2025, v. 136, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Patil, Basavaprabhu L; Gopalkrishna, Amulya M; G M, Sandeep Kumar; R, Umamaheswari 3 of 3

Abstract

This article focuses on the genomic, proteomic, and functional characterization of Bacillus subtilis strain EVCu15, an endophytic bacterium isolated from the seeds of mountain papaya (Vasconcellea cundinamarcensis), highlighting its biocontrol and plant growth-promoting (PGP) potential. Whole genome sequencing revealed over 98% similarity with known B. subtilis strains and identified 15 secondary metabolite gene clusters involved in producing bioactive compounds such as surfactin, fengycin, plipastatin, bacillibactin, subtilomycin, subtilosin A, and bacilysin, alongside genes related to nutrient metabolism and hormone biosynthesis. Proteomic and liquid chromatography-mass spectrometry analyses confirmed the production and extracellular secretion of antimicrobial proteins, plant hormones (including salicylic acid, indole-3-acetic acid, and zeatin), and vitamins (notably vitamins D1, D2, E, K2, and pyridoxine). In vitro and greenhouse assays demonstrated that B. subtilis EVCu15 effectively antagonizes various fungal pathogens and inhibits the root-knot nematode Meloidogyne incognita, outperforming Bacillus amyloliquefaciens in nematicidal activity. The study underscores the strain's multifaceted role in sustainable agriculture, though it notes the need for further field evaluations.

Additional Information

  • Source:Journal of Applied Microbiology. 2025/01, Vol. 136, Issue 1, p1
  • Document Type:Article
  • Subject Area:Biology
  • Publication Date:2025
  • ISSN:1364-5072
  • DOI:10.1093/jambio/lxaf010
  • Accession Number:182905290
  • Copyright Statement:Copyright of Journal of Applied Microbiology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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