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Niuniu Shi

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Open access Aug 2026

Seasonal Patterns of Soil Bacterial and Fungal Communities Under Practical Organic Fertilizer Regimes in a Tea Plantation

Organic fertilizer and season are established sources of variation in tea plantation soil microbiomes. A repeated-measure field experiment was conducted in Yunnan, China, comprising an unfertilized control (CK), sheep manure (SM), pig manure (PM), rapeseed cake manure (RM), and commercial organic fertilizer (OF). The same 15 mature tea trees were sampled in spring, summer, and autumn, yielding 45 composite soil samples. Soil properties, as well as 16S rRNA gene and ITS amplicon profiles, were evaluated using mixed-effect models, restricted-permutation PERMANOVA, and design-adjusted partial redundancy analysis (pRDA). Fertilization regime, season, and their interaction showed property-specific associations, most clearly for alkali-hydrolyzable nitrogen, available phosphorus, and available potassium. Bacterial alpha diversity was more responsive than fungal alpha diversity. Both factors were significantly associated with bacterial and fungal community structures. Season accounted for most bacterial variation (68.70%), whereas fungal variation was associated more evenly with season (27.33%) and fertilization regime (18.61%); no significant interaction was detected for either group. Nine fungal genera retained significant treatment-associated differences after FDR correction, whereas the bacterial genus-level patterns remained exploratory. After conditioning for fertilization regime and season, measured soil variables collectively explained 6.51% and 13.56% of bacterial and fungal variation, respectively, but no individual variable remained significant after FDR correction. Because fertilizer inputs were not nutrient-standardized, treatment contrasts represent integrated material-and-dose regimes rather than isolated fertilizer-type effects. These context-specific results illustrate the value of repeated seasonal sampling with design-adjusted analyses for evaluating practical fertilization regimes.

Yun-Qi Huang, Mi Hu, Huiting Zhu et al. · 0 citations
Aug 2026

Oligomycin A from Streptomyces paludis: potent antifungal activity against Colletotrichum truncatum and control of soybean anthracnose.

BACKGROUND Soybean anthracnose caused by Colletotrichum truncatum is a destructive disease threatening soybean production. Increasing fungicide resistance and concerns over chemical residues highlight the need for new antifungal agents with distinct bioactive scaffolds. This study aims to identify the antifungal metabolite produced by Streptomyces paludis 13-3 and evaluate its potential for soybean anthracnose management RESULTS: Bioassay-guided fractionation of the fermented extract of S. paludis 13-3 led to the isolation of oligomycin A, characterized via nuclear magnetic resonance spectroscopy and high-resolution electrospray ionization mass spectrometry. It exhibited half-maximal effective concentration (EC50) values of 0.0173 μg mL-1 and 0.0811 μg mL-1 against mycelial growth and conidial germination of C. truncatum, respectively. Its antifungal potency was approximately 58 times more potent than difenoconazole. At a concentration of 1 μg mL-1, oligomycin A achieved 85.85% control efficacy against soybean anthracnose on detached seedlings without inducing phytotoxicity, and inhibited eight tested phytopathogens by 61.69-83.39% at 0.1 μg mL-1. Fluorescence staining and scanning electron microscopy observations indicated intracellular reactive oxygen species (ROS) accumulation and significant structural damage in C. truncatum treated with oligomycin A. CONCLUSION This study provides the first evidence that oligomycin A exhibits strong antifungal activity against C. truncatum and effectively suppresses soybean anthracnose development in detached seedlings. These findings expand the known antifungal spectrum of oligomycin A and highlight its value as a natural lead compound for the development of antifungal agents against soybean anthracnose. © 2026 Society of Chemical Industry.

Ziying Cai, Niuniu Shi, Feifei Wang et al. · 0 citations