高级检索

    毛竹大小年周期下土壤细菌群落的时空分异特征及其环境关联

    Spatiotemporal differentiation of soil bacterial communities and their environmental associations across the on- and off-year cycle of Moso bamboo

    • 摘要:
      目的 基于毛竹大年和小年样本,揭示根表土、根际土和非根际土等不同根相关土壤区室细菌群落在年型转换和季节变化下的时空分异特征,并探讨其与土壤环境因子的关系。
      方法 以四川蜀南竹海毛竹林为研究对象,于大年和小年、生长季和落叶季采集根表土、根际土和非根际土共139份样品。基于16S rRNA扩增子测序,在ASV水平解析土壤细菌群落结构,结合Tax4Fun2功能预测及环境因子关联分析,比较不同年型、季节和土壤区室下土壤细菌群落的多样性、组成结构、差异类群和共现网络特征。
      结果 (1)3类土壤区室细菌群落的α多样性整体表现为小年高于大年;PCoA与PERMANOVA分析表明,年型是驱动群落结构分异的主导因素,土壤区室和季节也具有显著影响;(2)不同土壤区室间细菌群落组成存在明显差异,根表土和根际土表现出较高的群落组成保守性;3类土壤区室在大小年间均存在显著差异类群,其中大年阶段主要涉及绿弯菌门及其相关分支,小年阶段更多涉及放线菌门及其相关类群,但差异类群的组成和分布范围具有明显的土壤区室特异性;大年阶段微生物共现网络整体规模更大、连接更紧密;(3)小年阶段土壤总氮、铵态氮和有机碳含量整体较高,群落分异与环境因子变化密切相关;Tax4Fun2预测结果表明,3类土壤区室在大小年间均存在潜在功能通路差异,涉及氮代谢、碳代谢、氨基酸代谢、膜转运和信号转导等过程,但不同区室的潜在功能差异侧重不一致。
      结论 毛竹大小年对土壤细菌群落的影响具有显著的土壤区室依赖性,年型是驱动群落分异的主导因素(PERMANOVA,R2 = 0.158),根表土是感知年型转换的重要微界面;在根际土中,总氮对群落变异的独立解释率最高,表明氮素相关因子是连接大小年资源波动与细菌群落响应的重要环境变量。

       

      Abstract:
      Objective This study aimed to reveal the spatiotemporal differentiation of soil bacterial communities across different root-associated soil compartments (rhizoplane, rhizosphere, and bulk soils) during the on- and off-year cycle of Moso bamboo and seasonal changes, and to explore their relationships with soil environmental changes.
      Method A total of 139 soil samples, including rhizoplane soil, rhizosphere soil and bulk soil, were collected from a Moso bamboo forest in the Shunan Bamboo Sea, Sichuan Province, China, across on- and off-years and during the growing and defoliation seasons. Based on 16S rRNA amplicon sequencing, soil bacterial community structure was analyzed at the ASV level. Combined with Tax4Fun2 functional prediction and environmental factor association analysis, the diversity, composition, differentially abundant taxa and co-occurrence network characteristics of soil bacterial communities were compared among different year types, seasons and soil compartments.
      Result (1) The α-diversity of soil bacterial communities across the three soil compartments was generally higher in off-years than in on-years. PCoA and PERMANOVA analyses showed that year type was the dominant driver of community structure differentiation, with soil compartment and season also showing significant effects; (2) Bacterial community composition differed markedly among soil compartments. The number of shared ASVs in rhizoplane and rhizosphere soils was substantially higher than that in bulk soil, indicating higher compositional conservatism in root-associated soil compartments. Significant differential taxa between on- and off-years were detected in all three soil compartments. These taxa mainly involved Chloroflexi and its related lineages in the on-year, whereas Actinobacteria and its related lineages were more frequently enriched in the off-year. However, the composition and taxonomic coverage of differential taxa showed clear soil compartment-specific patterns. In addition, microbial co-occurrence networks were generally larger and more tightly connected during the on-year; (3) Total nitrogen, ammonium nitrogen and organic carbon were generally higher in the off-year, and community differentiation was closely associated with environmental variation. Tax4Fun2-based prediction indicated that all three soil compartments showed differences in potential functional pathways between on- and off-years, involving nitrogen metabolism, carbon metabolism, amino acid metabolism, membrane transport and signal transduction, but the predicted functional shifts differed among soil compartments.
      Conclusion The effects of the on- and off-year cycle on soil bacterial communities in Moso bamboo showed clear soil compartment dependence. Year type was the dominant factor driving community differentiation (PERMANOVA, R2 = 0.158), and the rhizoplane was an important root-associated interface responding to year-type shifts. In rhizosphere soil, total nitrogen showed the highest independent explanatory power for community variation, indicating that nitrogen-related factors are important environmental variables linking resource fluctuations under the on- and off-year cycle with bacterial community responses.

       

    /

    返回文章
    返回