Abdelshafy Mohamad Osama Abdalla, Liu Yong-Hong, Huang Yin, Kuchkarova Nigora, Dong Lei, Jiao Jian-Yu, Fang Bao-Zhu, Ma Jin-Biao, Hatab Shaimaa, Li Wen-Jun
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürümqi, China.
Department of Biological, Marine Sciences and Environmental Agriculture, Institute for Post Graduate Environmental Studies, Arish University, Arish, Egypt.
Front Microbiol. 2024 Aug 30;15:1439798. doi: 10.3389/fmicb.2024.1439798. eCollection 2024.
In recent years, there has been an increasing focus on microbial ecology and its possible impact on agricultural production, owing to its eco-friendly nature and sustainable use. The current study employs metabolomics technologies and bioinformatics approaches to identify changes in the exometabolome of B24. This research aims to shed light on the mechanisms and metabolites responsible for the antifungal and growth promotion strategies, with potential applications in sustainable agriculture. Metabolomic analysis was conducted using Q Exactive UPLC-MS/MS. Our findings indicate that a total of 3,840 metabolites were identified, with 137 metabolites exhibiting significant differences divided into 61 up and 75 downregulated metabolites based on VIP >1, |FC| >1, and < 0.01. The interaction of B24 monoculture with the co-culture demonstrated a stronger correlation coefficient. The Principal Component Analysis (PCA) demonstrates that PCA1 accounted for 23.36%, while PCA2 accounted for 20.28% distinction. OPLS-DA score plots indicate significant separation among different groups representing (t1) 24% as the predicted component (to1) depicts 14% as the orthogonal component. According to the findings of this comprehensive study, crude extracts from demonstrated varying abilities to impede phytopathogen growth and enhance root and shoot length in tested plants. Through untargeted metabolomics, we discovered numerous potential molecules with antagonistic activity against fungal phytopathogens among the top 10 significant metabolites with the highest absolute log2FC values. These include Tetrangulol, 4-Hydroxybenzaldehyde, and Cyclohexane. Additionally, we identified plant growth-regulating metabolites such as N-Succinyl-L-glutamate, Nicotinic acid, L-Aspartate, and Indole-3-acetamide. The KEGG pathway analysis has highlighted these compounds as potential sources of antimicrobial properties. The inhibitory effect of crude extracts on pathogen growth is primarily attributed to the presence of specific gene clusters responsible for producing cyclic peptides such as ansamycins, porphyrin, alkaloid derivatives, and neomycin. Overall, it is apparent that crude extracts from exhibited varying abilities to inhibit the growth of three phytopathogens and enhancement in both root and shoot length of tested plants. This research enhances our understanding of how secondary metabolites contribute to growth promotion and biocontrol, supporting ecosystem sustainability and resilience while boosting productivity in sustainable agriculture.
近年来,由于其生态友好的性质和可持续利用,微生物生态学及其对农业生产可能产生的影响受到了越来越多的关注。当前的研究采用代谢组学技术和生物信息学方法来识别B24外代谢组的变化。本研究旨在阐明负责抗真菌和促进生长策略的机制及代谢产物,在可持续农业中具有潜在应用价值。使用Q Exactive UPLC-MS/MS进行代谢组学分析。我们的研究结果表明,共鉴定出3840种代谢产物,基于VIP>1、|FC|>1和<0.01,有137种代谢产物表现出显著差异,分为61种上调和75种下调的代谢产物。B24单培养与共培养的相互作用显示出更强的相关系数。主成分分析(PCA)表明,PCA1占23.36%,而PCA2占20.28%的差异。OPLS-DA得分图表明不同组之间存在显著分离,代表(t1)24%为预测成分(to1)描绘14%为正交成分。根据这项综合研究的结果,来自的粗提物在抑制受试植物中植物病原体生长以及增加根和茎长度方面表现出不同的能力。通过非靶向代谢组学,我们在具有最高绝对log2FC值的前10种显著代谢产物中发现了许多对真菌植物病原体具有拮抗活性的潜在分子。这些包括四方醇、4-羟基苯甲醛和环己烷。此外,我们还鉴定出植物生长调节代谢产物,如N-琥珀酰-L-谷氨酸、烟酸、L-天冬氨酸和吲哚-3-乙酰胺。KEGG通路分析突出了这些化合物作为抗菌特性的潜在来源。粗提物对病原体生长的抑制作用主要归因于存在负责产生环肽的特定基因簇,如安莎霉素、卟啉、生物碱衍生物和新霉素。总体而言,很明显来自的粗提物在抑制三种植物病原体生长以及增加受试植物根和茎长度方面表现出不同的能力。这项研究增进了我们对次生代谢产物如何促进生长和生物防治的理解,支持生态系统的可持续性和恢复力,同时提高可持续农业的生产力。