• ISSN 1008-505X
  • CN 11-3996/S

长期有机种植提升农田土壤真菌多样性降低细菌网络的复杂性

Long-term organic farming increases fugal diversity and decreases the complexity of bacteria in farmland

  • 摘要:
    目的 有机种植作为一种生态友好型生产方式已获得大面积推广,但长期有机种植对农田环境的影响仍存争议。本研究基于14年长期定位试验,探讨了有机种植对土壤微生物群落结构与功能的影响,为有机农业高质量发展提供科学依据。
    方法 田间试验位于常州市金坛区上阮村,采集有机种植与常规种植方式下表层0—20 cm及亚表层20—40 cm土样,测定了理化性质与酶活性,采用高通量测序、冗余分析(RDA)、相关性热图及微生物共现网络分析,研究了土壤微生物群落结构、功能特征及其与环境因子的互作机制。
    结果 与常规种植相比,长期有机种植显著改变了土壤理化性质与酶活性。有机质(SOM)、全氮(TN)、电导率(EC)、速效氮(AN)、微生物量氮(MBN)在两个土层均显著下降,降幅介于13.1%~62.9%,而可溶性有机碳(DOC)、β-葡萄糖苷酶(BG)和碱性磷酸酶(ALP)活性有所提升。混合效应模型分析结果表明,有机种植和土壤深度对速效磷(AP)、AN和微生物量碳(MBC)有交互作用(P<0.05)。有机种植重塑了土壤微生物群落结构与组成,真菌群落α多样性呈高于常规种植趋势。细菌群落中,酸杆菌门(Acidobacteriota)和硝化螺旋菌门(Nitrospirota)丰度在0—20 cm土层分别提高14.8%和34.7%;厚壁菌门(Bacillota)和拟杆菌门(Bacteroidota)丰度在20—40 cm土层提高40.5%、110.7%。真菌群落中,担子菌门(Basidiomycota)和罗兹菌门(Rozellomycota)丰度在0—20 cm土层提高24.6%、174.7%;子囊菌门(Ascomycota)和罗兹菌门(Rozellomycota)丰度在20—40 cm土层提高13.8%、277.2%。微生物共现网络显示,整体上细菌网络具有比真菌网络更高的复杂度与连接度,而真菌网络表现出更为紧密的互作结构。常规种植下细菌网络更为复杂且冗余度更高,但有机种植增强了真菌网络的连通性和局部密集度,其平均连接度、平均路径长、模块化以及网络密度分别增加59.5%、-22.6%、-2.1%和66.6%。相关分析表明,土壤 pH、SOM、AP等环境因子是驱动群落结构与组成变化的关键因子,细菌对环境因子变化的响应强于真菌。
    结论 长期有机种植改变了土壤理化性质与酶活性,重塑了微生物群落结构与功能特征,导致真菌多样性提升、细菌网络复杂性下降及真菌网络连通性增强。功能预测结果显示有机种植土壤中潜在病原类功能有所增加,因此,长期有机种植需关注病害风险。

     

    Abstract:
    Objectives Organic farming has been widely promoted as an environmental friendly production system, however, its impact on farmland ecosystems remain unclear in a long run. Based on a 14-year long-term field experiment, this study investigated the soil microbial community structure and functions under organic farming, aiming to provide scientific evidence for the sustainable and high-quality development of organic agriculture.
    Methods The long term field experiment was conducted in Changzhou, China. Soil samples were collected in topsoil (0−20 cm) and subsoil (20−40 cm) under organic and conventional farming systems. Soil physicochemical properties and enzyme activities were measured, while microbial community diversity was assessed using high-throughput sequencing. Redundancy analysis (RDA), correlation heatmaps, and microbial co-occurrence network analysis were applied to elucidate the effects of organic farming on soil microbial community structure, functional traits, and their interactions with environmental factors.
    Results Compared with conventional farming, long-term organic farming significantly altered soil physicochemical properties and enzyme activities. Soil organic matter (SOM), total nitrogen (TN), electrical conductivity (EC), available nitrogen (AN), and microbial biomass nitrogen (MBN) decreased significantly across soil layers, with reductions ranging from 13.1% to 62.9%. In contrast, dissolved organic carbon (DOC) content, β-glucosidase (BG) and alkaline phosphatase (ALP) activities increased. the Linear Mixed-Effects Model (LMM) revealed that available phosphorus (AP), AN, and microbial biomass carbon (MBC) were significantly affected by the interaction of planting system and soil depth (P<0.05). Organic farming reshaped the structure and composition of soil microbial communities, with fungal α-diversity showing a higher trend compared to conventional farming. In bacterial communities, the relative abundances of Acidobacteriota and Nitrospirota in the 0−20 cm soil layer increased by 14.8% and 34.7%, respectively, while Bacillota and Bacteroidota in the 20−40 cm layer increased by 40.5% and 110.7%. In fungal communities, the relative abundances of Basidiomycota and Rozellomycota in the 0−20 cm layer increased by 24.6% and 174.7%, respectively, while Ascomycota and Rozellomycota in the 20−40 cm layer increased by 13.8% and 277.2%. Microbial co-occurrence network analysis revealed that bacterial networks exhibited greater overall complexity and connectivity than fungal networks, whereas fungal networks displayed a more compact and tightly interconnected interaction structure. Bacterial networks under conventional farming were larger and more redundant, whereas organic farming enhanced fungal network connectivity and local clustering. Specifically, average degree, average path length, modularity, and network density of fungal networks changed by 59.5%, −22.6%, −2.1%, and 66.6%, respectively. Correlation analyses indicated that soil pH, SOM, and AP were the key environmental drivers of microbial community structure and composition. Bacterial communities exhibited stronger responses to environmental variations than fungal communities.
    Conclusions Long-term organic farming altered soil physicochemical properties and enzyme activities, reshaping microbial community structure and functional traits. These changes resulted in enhanced fungal diversity, reduced bacterial network complexity, and increased fungal network connectivity. Moreover, functional predictions indicated a rise in potential pathogenic groups under organic farming, highlighting the need to consider disease risks in long-term organic systems.

     

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