Wanping Wang, Rongxin Wang, Yuying Li^*, Yixuan Li^*, Pengcheng Zhang, Mingming Gao, Yuxuan Cao, Nicola Fohrer, Yixin Zhang, and B. Larry Li. Cross sectional dependent microbial assembly and network stability the sensitivity response between Bactreia, Eukaryotes and Funji: Danjiangkou Reservoir as a case study. Journal of Environmental Management，2025, 379：124851  （20250307在线）

丹江口水库分层段面依赖性微生物组装和网络稳定性：细菌敏感性反应高于真核生物和真菌

第一作者：王宛平 Wanping Wang

通讯作者：李玉英 Yuying Li, 李奕璇  Yixuan Li

Graphic Abstract

Highlights

The mobility of the fungal communities was lower than that of bacteria and eukaryotic microorganisms.

Stochastic processes dominate the aggregation of microbial communities in Danjiangkou Reservoir.

Network complexity of bacterial communities > Eukaryotes > fungi.

Bacteroidata, Ascomycota, and Cryptophyta were critical species in Danjiangkou Reservoir.

Abstract:

The change of water depth will lead to the change of vertical structure of the microbial community in the reservoir, and then affect the construction pattern of the microbial community and the relationship between the communities, thus profoundly affecting the stability of the aquatic ecosystem. However, the dynamic changes of microbial communities in different water layers in deep-water low-nutrient drinking water reservoirs are still not well understood. From July 2022 to August 2023, surface, middle and bottom water samples were collected in Danjiangkou Reservoir, China. Based on high-throughput sequencing technology, model analysis and network analysis, the diversity of microbial communities in different water layers, community construction process and co-occurrence network differences were studied. The results showed that the diversity of bacterial communities in Danjiangkou reservoir was higher than that of fungi and eukaryotic microorganisms in different water depths. The dominant species of the bacterial community in different water depths are Actinobacteriota, Bacteroidota, Proteobacteria and Cyanobacteria, and their relative abundance has little difference at the gate level. The dominant phyla were Ascomycota, unclassified_k__Fungi and Chytridiomycota. The relative abundance of vertical dominant species in eukaryotic communities was slightly different, including Cryptophyta, Chlorophyta, Dinophyta and Metazoa. The neutral model showed that random processes significantly affected the assembly process of microbial communities in different water layers, and the mobility of fungal communities was much lower than that of bacteria and eukaryotes. The cooccurrence network analysis showed that the number of nodes and edges of the bacterial community was the highest, indicating that the network scale of the bacterial community was the largest. In addition, the map density and average clustering coefficient of bacterial and eukaryotic communities in surface water were the highest, indicating that the surface microbial species had a high degree of connectivity, can better transfer materials and exchange information, and Sensitive to changes in the external environment. In contrast, in fungal communities, microbial interactions were the most complex at the bottom. The interactions between microbial communities in different water depths were mainly positive, and the negative correlation of microbial communities in the middle and bottom water was greater than that in the surface water, indicating that the competition between species increased with the increase of depth. Correlation analysis showed that the key species of microbial community were significantly correlated with TP, PO₄^3--P, NO₃^--N and ORP. In summary, by analyzing the effects of water depth changes on the spatial distribution pattern, community assembly process and symbiotic network stability of microbial communities in Danjiangkou Reservoir, it was found that bacterial communities were more sensitive to water depth than eukaryotes and fungi. This study revealed the response mechanism of microbial communities to water depth in deep-water low-nutrient reservoirs, which is helpful to reflect aquatic ecological processes and provide a theoretical basis for the construction of subsequent reservoir ecological models.

Keywords: deep reservoir; planktonic microorganisms; environmental factors; community assembly; co-occurrence network; crucial species

实验室介绍：河南省南水北调中线水源区流域生态安全国际联合实验室

（International Joint Laboratory of Watershed Ecological Security for Water Source Region of Middle Route Project of South-North Water Diversion in Henan Province）

南阳师范学院南水北调流域生态安全团队依托国家南水北调中线水源区流域生态安全高等学校学科创新引智基地（111基地）和国际联合实验室开展针对南水北调中线水源区流域生态安全保护中面临的面源污染、水源涵养能力偏低、水资源利用效率效益不高等问题，积极探索国际化、多视角深层次合作。为南水北调后续工程高质量发展提供国际合作的科研平台，将为中线工程核心水源地生态环境保护提供良好的理论和实践基础，为确保“一泓清水永续北上”提供重要的技术支撑。

南水北调流域生态安全团队开展水生态、水环境、水质和水生态健康评价、生态修复和农业生态领域基础理论研究和技术开发，已在中线水源区取得了一定的成果，主持或参与国家级项目20多项，横向委托项目40多项，发表学术论文100多篇，授权专利30多项，专著10部；河南省科技进步奖二等奖1项，地厅级奖励11项。

Journal of Environmental Management

环境科学//中科院2区Top，JCR分区为Q1区//影响因子8，1973 年创刊，出版周期为半月刊；

2025年重点收稿方向：前沿领域细分