JOURNAL ARTICLE

Nematode-trapping fungus Arthrobotrys oligospora recruited rhizosphere microorganisms to cooperate in controlling root-knot nematodes in tomato.

  • Published In: Journal of Applied Microbiology, 2024, v. 135, n. 9. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Shen, Weixin; Yang, Xinyue; Liu, Yanzhuo; Wang, Yongzhong; Lu, Hengqian 3 of 3

Abstract

This article focuses on the role of the nematode-trapping fungus Arthrobotrys oligospora in remodeling the rhizosphere microbiome to biologically control root-knot nematodes (Meloidogyne incognita) infecting tomato plants. The study demonstrated that A. oligospora treatment reduced nematode-induced disease by 53.6%, decreased bacterial diversity, and increased fungal diversity in the tomato rhizosphere. Key bacterial taxa enriched by the treatment included Acidobacteriota, Firmicutes (notably Bacilli), and Bradyrhizobium, while fungal taxa such as Glomeromycota and Purpureocillium were also increased; these microbes are implicated in nutrient cycling, symbiosis, and direct nematode antagonism. Functional analyses indicated enhanced carbohydrate metabolism and shifts in fungal community roles, and co-occurrence network analysis revealed greater microbial interaction complexity following A. oligospora application. These findings provide insights into microbial collaborations underpinning nematode biocontrol and support the development of compound biocontrol agents based on nematode-trapping fungi.

Additional Information

  • Source:Journal of Applied Microbiology. 2024/09, Vol. 135, Issue 9, p1
  • Document Type:Article
  • Subject Area:Anatomy and Physiology
  • Publication Date:2024
  • ISSN:1364-5072
  • DOI:10.1093/jambio/lxae218
  • Accession Number:180046685
  • 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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