Yang Qingmiao, Liu Hanwen, Tang Biao, Yu Chunxiao, Dong Shide, Li Yang, Cui Guangxu, Zhang Yi, Wang Guangmei
School of Life Sciences, Ludong University, Yantai 264025, China.
CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China.
Microorganisms. 2025 Feb 26;13(3):513. doi: 10.3390/microorganisms13030513.
Soil microorganisms are crucial for nutrient cycling, with abundant and rare taxa playing distinct roles. However, the mechanisms by which soil microbes influence nutrient cycling under different crop types remain unclear. In this study, we investigated the network structure, diversity, and microbial composition of croplands in the Yellow River Delta, focusing on four primary crops: soybean, maize, cotton, and sorghum. The findings revealed that the co-occurring network structure of sorghum planting-soils exhibited greater complexity than other crop types. Bacterial alpha diversity in cotton-planting soil is the highest and susceptible to environmental variations. The diversity of both rare and abundant taxa responds differently to soil nutrients depending on the crop type. While abundant taxa play a crucial role in soil multi-nutrient cycling, rare taxa are key drivers of variations in nutrient cycling expression. The diversity of rare taxa showed a strong correlation with critical nutrients. Structural equation modeling revealed that the alpha diversity of rare bacterial and fungal taxa significantly influenced the soil multi-nutrient cycling index (). Specifically, higher Shannon indices of rare bacterial taxa were associated with lower , while the opposite was true for soil fungi. Soil organic carbon and soil total nitrogen are the key factors influencing alpha diversity in rare bacterial and fungal taxa. Moreover, this study provides new insights into the role of rare soil microbial diversity in the nutrient cycling of agricultural ecosystems.
土壤微生物对养分循环至关重要,丰富和稀有分类群发挥着不同作用。然而,土壤微生物在不同作物类型下影响养分循环的机制仍不清楚。在本研究中,我们调查了黄河三角洲农田的网络结构、多样性和微生物组成,重点关注四种主要作物:大豆、玉米、棉花和高粱。研究结果表明,高粱种植土壤的共现网络结构比其他作物类型更为复杂。棉花种植土壤中的细菌α多样性最高,且易受环境变化影响。稀有和丰富分类群的多样性对土壤养分的响应因作物类型而异。虽然丰富分类群在土壤多养分循环中起关键作用,但稀有分类群是养分循环表达变化的关键驱动因素。稀有分类群的多样性与关键养分呈强相关。结构方程模型表明,稀有细菌和真菌分类群的α多样性显著影响土壤多养分循环指数()。具体而言,稀有细菌分类群较高的香农指数与较低的相关,而土壤真菌则相反。土壤有机碳和土壤全氮是影响稀有细菌和真菌分类群α多样性的关键因素。此外,本研究为稀有土壤微生物多样性在农业生态系统养分循环中的作用提供了新见解。