Stochastic processes drive the soil fungal communities in a developing mid-channel bar.

Stochastic processes drive the soil fungal communities in a developing mid-channel bar.
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随机过程推动了发展中心渠道中的土壤真菌群落。

DOI:
10.3389/fmicb.2023.1104297
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发表时间:
2023
影响因子:
5.2
通讯作者:
Wang, Yu
Wang, Yu
中科院分区:
生物学2区
文献类型:
--
作者:
Ye, Fei;Hong, Yiguo;Yi, Xuemei;Sun, Zhaohong;Wu, Jiapeng;Wang, Yu

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根际微生物群落与植物之间错综复杂的相互作用对土壤生态功能的发展和维持起着至关重要的作用。因此,了解根际微生物在不同植物中的组装模式及其对环境变化的响应对于动态生境具有重要的生态学意义。本研究以长江中游沙洲为研究对象,采用基于高通量测序的零模型分析方法,探讨根际真菌群落在不同植物物种间的组装过程。结果表明,根际真菌群落的组成和α多样性在不同植物之间存在罕见的显著差异。此外,土壤性质被发现是主要的驱动因素,而不是植物种类。零模型分析表明,根际真菌群落主要受随机过程(即生态漂移的非优势过程)驱动,其优势度因植物种类而异。此外,根际真菌群落的组装过程与土壤性质(即土壤全碳、全氮、有机质和pH)的变化显著相关。共生网络分析表明,许多关键种属于未分类的真菌。值得注意的是,5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,表明随机过程对根际真菌群落聚集的影响。总体而言,这些结果将为深入了解根际土壤中真菌群落聚集的潜在机制提供见解,这对于维持发展中的生态系统的功能稳定性具有重要意义。
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.
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