School of Life Science, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang, 330031, China.
Curr Microbiol. 2024 Jan 16;81(2):64. doi: 10.1007/s00284-023-03608-2.
Soil microbial communities are engineers of important biogeochemical processes and play a critical role in regulating the functions and stability of forest ecosystem. However, few studies have assessed microbial interactions during forest conversion, which is essential to the understanding of the structure and function of soil microbiome. Herein, we investigated the co-occurrence network pattern and putative functions of fungal and bacterial communities in forest-transforming areas (five sites that cover the typical forests) using high-throughput sequencing of the ITS genes and 16S rRNA. Our study showed that the bacterial network had higher average connectivity and more links than fungal network, which might indicate that the bacterial community had more complex internal interactions compared with fungal one. Alphaproteobacteria_unclassfied, Telmatobacter, 0319-6A21 and Latescibacteria_unclassfied were the keystone taxa in bacterial network. For the fungal community network, the keystone taxon was Ceratobasidium. A structural equation model indicated that the available potassium and total organic carbon were important soil environmental factors, which affected all microbial modules, including bacterial and fungi. Total nitrogen had significant effects on the bacterial module that contains a relatively rich group of nitrogen cycling functions, and pH influenced the bacterial module which have higher potential functions of carbon cycling. And, more fungal modules were directly affected by forest structure (S ) compared with bacterial ones. This study provides new insights into our understanding of the feedback of underground creatures to forest conversion and highlights the importance of microbial modules in the nutrient cycling process.
土壤微生物群落是重要生物地球化学过程的工程师，在调节森林生态系统的功能和稳定性方面发挥着关键作用。然而，很少有研究评估森林转化过程中的微生物相互作用，而这对于理解土壤微生物组的结构和功能至关重要。在此，我们使用 ITS 基因和 16S rRNA 的高通量测序，研究了森林转化区（涵盖典型森林的五个地点）真菌和细菌群落的共现网络模式和潜在功能。研究表明，细菌网络的平均连接度和连接数均高于真菌网络，这可能表明与真菌相比，细菌群落具有更复杂的内部相互作用。α变形菌未分类、Telmatobacter、0319-6A21 和 Latescibacteria 未分类是细菌网络中的关键分类群。对于真菌群落网络，关键分类群是 Ceratobasidium。结构方程模型表明，速效钾和总有机碳是重要的土壤环境因素，它们影响所有微生物模块，包括细菌和真菌。总氮对含有相对丰富的氮循环功能的细菌模块有显著影响，而 pH 影响具有较高碳循环潜在功能的细菌模块。与细菌模块相比，更多的真菌模块直接受到森林结构（S）的影响。本研究为我们理解地下生物对森林转化的反馈提供了新的视角，并强调了微生物模块在养分循环过程中的重要性。
