Ye Fei, Hong Yiguo, Yi Xuemei, Sun Zhaohong, Wu Jiapeng, Wang Yu
Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou, China.
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China.
Front Microbiol. 2023 Feb 6;14:1104297. doi: 10.3389/fmicb.2023.1104297. eCollection 2023.
Intricate associations between rhizosphere microbial communities and plants play a critical role in developing and maintaining of soil ecological functioning. Therefore, understanding the assembly patterns of rhizosphere microbes in different plants and their responses to environmental changes is of great ecological implications for dynamic habitats. In this study, a developing mid-channel bar was employed in the Yangtze River to explore the assembly processes of rhizosphere fungal communities among various plant species using high-throughput sequencing-based null model analysis. The results showed a rare significant variation in the composition and alpha diversity of the rhizosphere fungal community among various plant species. Additionally, the soil properties were found to be the primary drivers instead of plant species types. The null model analysis revealed that the rhizosphere fungal communities were primarily driven by stochastic processes (i.e., undominated processes of ecological drift), and the predominance varied with various plant species. Moreover, the assembly processes of rhizosphere fungal communities were significantly related to the changes in soil properties (i.e., soil total carbon, total nitrogen, organic matter, and pH). The co-occurrence network analysis revealed that many keystone species belonged to unclassified fungi. Notably, five network hubs were almost unaffected by the measured soil properties and aboveground plant traits, indicating the effect of stochastic processes on the rhizosphere fungal community assembly. Overall, these results will provide insights into the underlying mechanisms of fungal community assembly in the rhizosphere soils, which are significant for maintaining the functional stability of a developing ecosystem.
根际微生物群落与植物之间复杂的关联在土壤生态功能的发展和维持中起着关键作用。因此，了解不同植物根际微生物的组装模式及其对环境变化的响应，对于动态栖息地具有重大的生态意义。在本研究中，利用基于高通量测序的零模型分析，在长江发育中的江心洲上探究了不同植物物种根际真菌群落的组装过程。结果表明，不同植物物种的根际真菌群落组成和α多样性存在罕见的显著差异。此外，发现土壤性质是主要驱动因素，而非植物物种类型。零模型分析表明，根际真菌群落主要受随机过程（即生态漂变的非主导过程）驱动，且优势程度因不同植物物种而异。此外，根际真菌群落的组装过程与土壤性质（即土壤总碳、总氮、有机质和pH值）的变化显著相关。共现网络分析表明，许多关键物种属于未分类真菌。值得注意的是，五个网络枢纽几乎不受所测土壤性质和地上植物性状的影响，这表明随机过程对根际真菌群落组装的作用。总体而言，这些结果将为根际土壤真菌群落组装的潜在机制提供见解，这对于维持发育中生态系统的功能稳定性具有重要意义。
