雪茄烟叶发酵过程中细菌群落演替驱动代谢物变化的关系研究

    Study on the Relationship of Metabolite Changes Driven by Bacterial Community Succession During Cigar Tobacco Leaf Fermentation

    • 摘要:
      目的 阐明雪茄烟叶发酵过程中细菌群落与代谢物变化的内在联系,解析细菌群落驱动代谢物变化的作用机制。
      方法 以‘海研200’雪茄烟叶为材料,采用代谢组学和16S rDNA测序技术,分析发酵0、20、40 d 3个阶段烟叶的代谢物变化规律及细菌群落演替特征,结合共现网络分析、普氏分析和相关性分析开展多组学联合研究,从整体关联和模块-代谢物关联双层面揭示细菌群落驱动的代谢调控机制。
      结果 发酵前期、后期分别鉴定出475、153个差异代谢物,均主要分布于黄酮、脂质、酚酸、生物碱和氨基酸及其衍生物五大类,且两个阶段代谢物的变化趋势相反。细菌群落演替呈明显阶段特征,门水平上,变形菌门(Proteobacteria)为全程优势菌门,拟杆菌门(Bacteroidota)在发酵后期显著富集;属水平上,罗尔斯通菌属(Ralstonia)为发酵核心菌属。发酵前期细菌共现网络模块化指数达0.504,呈功能特化的局域协同特征,后期模块化指数降至0.290,网络结构趋于整合并向全局协同转变。普氏分析证实细菌群落演替与代谢物变化高度耦合,且分阶段关联拟合效果更优;相关性分析显示不同发酵阶段细菌模块与特定代谢物类别呈特异性关联,核心菌属罗尔斯通菌属的功能随发酵进程发生环境依赖性转变。
      结论 雪茄烟叶发酵的代谢物演变由细菌群落有序演替和网络结构重组共同驱动,发酵前期细菌群落依靠高度模块化的代谢分工实现底物高效转化,后期则通过网络整合与功能冗余维持代谢系统稳定。本研究从细菌生态互作视角深化了对雪茄烟叶发酵机理的认知,为基于微生物调控的雪茄烟叶发酵工艺优化提供理论依据。

       

      Abstract:
      Objective This study aims to elucidate the intrinsic relationship between bacterial communities and metabolite changes during cigar tobacco leaf fermentation, and to reveal the regulatory mechanisms underlying bacterial-driven metabolite transformation.
      Method Using 'Haiyan 200' cigar tobacco leaves as materials, metabolomics and 16S rDNA sequencing technologies were employed to characterize metabolite dynamics and bacterial community succession at three fermentation stages (0 d, 20 d, and 40 d). Multi-omics integration was performed through co-occurrence network analysis, procrustes analysis, and correlation analysis to uncover bacterial-driven metabolic regulation from both global association and module–metabolite interaction levels.
      Result A total of 475 and 153 differential metabolites were identified in the early and late fermentation stages, respectively. These metabolites were mainly assigned to five classes: flavonoids, lipids, phenolic acids, alkaloids, and amino acids and their derivatives, with opposite accumulation patterns between the two stages. Bacterial community succession exhibited distinct stage-specific characteristics. At the phylum level, Proteobacteria dominated throughout the fermentation process, while Bacteroidota was significantly enriched in the late stage. At the genus level, Ralstonia was identified as the core bacterial genus during the whole fermentation process. The bacterial co-occurrence network showed high modularity (0.504) in the early stage, representing functionally specialized local cooperation, whereas modularity decreased to 0.290 in the late stage, indicating network integration and a shift toward global coordination. Procrustes analysis verified a strong coupling between bacterial community succession and metabolite variation, with improved fitting in stage-specific analysis. Correlation analysis revealed specific associations between bacterial modules and particular metabolite categories at different fermentation stages, and the function of the core genus Ralstonia shifted in an environment-dependent manner.
      Conclusion The metabolic evolution during cigar tobacco leaf fermentation is jointly driven by orderly bacterial community succession and network structural reorganization. In the early stage, highly modularized bacterial communities achieve efficient substrate transformation through metabolic division of labor, while in the late stage, network integration and functional redundancy maintain metabolic system stability. This study advances the understanding of cigar tobacco leaf fermentation mechanisms from the perspective of bacterial ecological interactions and provides a theoretical basis for optimizing cigar tobacco leaf fermentation processes through microbial regulation.