JOURNAL ARTICLE

Lipopeptide culture filtrates from Bacillus spp. provide effective protection to wheat against the foliar pathogen Zymoseptoria tritici.

  • Published In: Journal of Applied Microbiology, 2024, v. 135, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: El Arbi, Amel; Arnauld, Ségolène; Chataigné, Gabrielle; Lecouturier, Didier; Bricout, Alexandre; Gharsallah, Néji; Jacques, Philippe; Siah, Ali; Rochex, Alice 3 of 3

Abstract

This article investigates the potential of cell-free culture filtrates (CFCFs) from two Bacillus subtilis group strains—Bacillus velezensis GA1 and Bacillus sp. III1—to control Zymoseptoria tritici, a major fungal pathogen causing Septoria tritici blotch (STB) in wheat. Greenhouse experiments demonstrated that foliar application of these CFCFs significantly reduced disease severity by over 90%, with in vitro and in planta assays confirming strong inhibition of spore germination and fungal growth. Chemical analyses revealed distinct lipopeptide profiles in the CFCFs, with GA1 producing iturin A alongside surfactins and fengycins, and III1 producing mojavensin A (an iturin family member) with surfactins and fengycins, suggesting different iturin subfamilies contribute to antifungal activity. The study highlights the promise of Bacillus-derived CFCFs as sustainable biofungicides for wheat disease management, while noting challenges related to large-scale production and formulation stability.

Additional Information

  • Source:Journal of Applied Microbiology. 2024/01, Vol. 135, Issue 1, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:1364-5072
  • DOI:10.1093/jambio/lxad306
  • Accession Number:175194300
  • 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.