Exo-metabolome profiling of soybean endophytes: a road map of antagonism against Fusarium oxysporum.

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-10-01 DOI:10.1128/msystems.00927-25
H Tariq, C Viau, S Subramanian, A Geitmann, D L Smith
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引用次数: 0

Abstract

Soybean is one of the world's most valuable agricultural crops. The phytopathogen Fusarium oxysporum compromises the growth of soybean and decreases its yield. Controlling this pathogen with fungicides is environmentally harmful. As with other species, soybean plants are associated with beneficial bacterial communities that contribute to plant health. Based on 16S rRNA sequencing, the present study identifies three important bacterial strains from this community: Bacillus-HT1, Bacillus-HT2, and Bacillus-HT3. Screening of these bacteria against F. oxysporum of soybean showed that Bacillus-HT1 and Bacillus-HT2 are antagonistic against this pathogen. The overall changes in fungal structure caused by biocontrol bacteria were visualized using scanning electron microscopy. An untargeted metabolomics approach based on liquid chromatography-tandem mass spectrometry was employed to uncover the bacterial secondary metabolites underlying this antagonistic activity. Based on MS2 fragmentation analysis and annotation, Bacillus-HT1 and Bacillus-HT2 potentially produce significant amounts of putative antifungal compounds, whereas Bacillus-HT3 lacks these. This absence of relevant metabolites correlates with this strain's inability to inhibit F. oxysporum fungal growth. Among the putative antifungal metabolites produced by Bacillus-HT1 and Bacillus-HT2 are bacillibactin and surfactin C. Bacillus-HT1 also produces significant amounts of fusidic acid and kynurenine, while Bacillus-HT2 produces significant amounts of putative antifungal fatty acids. These findings suggest that Bacillus-HT1 and Bacillus-HT2 have the potential to be developed into effective biocontrol agents, reducing chemical fungicides in crop cultivation, improving plant health and yield, thus contributing to the protection of biodiversity and soil health in the long term.

Importance: Modern agricultural practices depend heavily on synthetic fertilizers and pesticides, which are major contributors to greenhouse gas emissions, groundwater pollution, and disruptions in agroecosystem dynamics. These challenges underscore the pressing need for sustainable alternatives that maintain crop productivity while minimizing environmental impact. Here, we investigate the use of antifungal-producing biocontrol agents as a microbial-based strategy to suppress pathogenic fungi in soybean cultivation. By harnessing the metabolic capabilities of beneficial microbes, this approach offers a promising path toward environmentally responsible crop protection, with implications for future food security and sustainable agricultural systems.

大豆内生菌的外显代谢组分析:对尖孢镰刀菌拮抗的路线图。
大豆是世界上最有价值的农作物之一。植物致病菌尖孢镰刀菌危害大豆生长,降低大豆产量。用杀菌剂控制这种病原体对环境是有害的。与其他物种一样,大豆植物与有助于植物健康的有益细菌群落有关。基于16S rRNA测序,本研究从该群落中鉴定出三种重要的菌株:Bacillus-HT1、Bacillus-HT2和Bacillus-HT3。结果表明,芽孢杆菌ht1和芽孢杆菌ht2对大豆尖孢镰刀菌具有拮抗作用。利用扫描电镜观察了生物防治菌引起的真菌结构的整体变化。采用基于液相色谱-串联质谱的非靶向代谢组学方法来揭示这种拮抗活性背后的细菌次级代谢物。根据MS2片段分析和注释,Bacillus-HT1和Bacillus-HT2可能产生大量推测的抗真菌化合物,而Bacillus-HT3缺乏这些化合物。相关代谢物的缺乏与该菌株无法抑制尖孢镰刀菌的真菌生长有关。杆菌- ht1和杆菌- ht2产生的推测的抗真菌代谢物包括杆菌杆菌素和表面素c。杆菌- ht1还产生大量的夫西地酸和犬尿氨酸,而杆菌- ht2产生大量的推测的抗真菌脂肪酸。这些结果表明,Bacillus-HT1和Bacillus-HT2具有开发成有效的生物防治剂的潜力,可以减少作物栽培中的化学杀菌剂,改善植物健康和产量,从而有助于长期保护生物多样性和土壤健康。重要性:现代农业实践严重依赖合成肥料和农药,这是温室气体排放、地下水污染和农业生态系统动态破坏的主要原因。这些挑战突出表明,迫切需要可持续的替代方案,以保持作物生产力,同时尽量减少对环境的影响。在这里,我们研究了在大豆种植中使用抗真菌生防剂作为一种基于微生物的抑制病原菌的策略。通过利用有益微生物的代谢能力,这种方法为实现对环境负责的作物保护提供了一条有希望的途径,对未来的粮食安全和可持续农业系统具有重要意义。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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