Wang Xun, Liao Qin, Wang Pei-Fang, Yuan Qiu-Sheng, Hu Bin, Xing Xiao-Lei, Xu Hao-Sen
Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China.
College of Environment, Hohai University, Nanjing 210098, China.
Huan Jing Ke Xue. 2023 Jul 8;44(7):3881-3891. doi: 10.13227/j.hjkx.202208191.
In order to understand the impacts of the reservoir construction on the diversity and ecological network of different microbial communities, seven sampling sites were set up in the Hengshan Reservoir in 2021. Water samples were collected from the surface and bottom of the reservoir. After filtering and extracting total DNA samples, high-throughput sequencing was carried out based on 16S and 18S rDNA to investigate the response of community structure, molecular ecological network, and keystone species of different microbial groups to water environment changes. The results showed that the Richness, Simpson, Shannon, and Pielou's Evenness indices of bacterial community in the surface and bottom layers were higher than those in the eukaryote community. The dominant community of bacteria included Proteobacteria, Actinobacteria, and Bacteroidetes, and the eukaryote community included Arthropoda, Ciliophora, Ochrophyta, etc. Moreover, the density and average clustering coefficient of the microbial networks in the surface waters of different phytoplankton communities were higher than those in the bottom waters. It was also observed that the microbial ecological networks in the surface waters were more closely related, and the number of nodes and edges, as well as the number of keystone species, of bacterial communities in the surface and bottom layers were significantly higher than those in the eukaryote microbial communities, indicating that the bacterial community network was larger, and the cooperative relationship and network connectivity between species were stronger. The interaction between bacterial community and eukaryote community in different water depths was dominated by positive correlation, and the negative correlation of the two groups in the bottom layer was slightly greater than that in the surface, indicating that the competition between bottom-layer species was greater than that between surface-layer species. In addition, the environmental impact factors of all species and keystone species of the community in surface water were basically the same, but they differed greatly in deep water, indicating that the influence mechanism of water depth change on keystone species was not the same as that of all species. The results further revealed the effects of reservoir construction on the stability and interspecific interactions of different microbial communities and provided a theoretical basis for predicting variations in microbial community and material cycling in reservoirs.
为了解水库建设对不同微生物群落多样性和生态网络的影响,2021年在横山水库设置了7个采样点。从水库表层和底层采集水样。对水样进行过滤并提取总DNA样本后,基于16S和18S rDNA进行高通量测序,以研究不同微生物群落的群落结构、分子生态网络和关键物种对水环境变化的响应。结果表明,表层和底层细菌群落的丰富度、辛普森指数、香农指数和皮洛均匀度指数均高于真核生物群落。细菌的优势群落包括变形菌门、放线菌门和拟杆菌门,真核生物群落包括节肢动物门、纤毛虫纲、褐藻门等。此外,不同浮游植物群落表层水体中微生物网络的密度和平均聚类系数高于底层水体。还观察到表层水体中的微生物生态网络相关性更强,表层和底层细菌群落的节点数、边数以及关键物种数均显著高于真核生物微生物群落,表明细菌群落网络更大,物种间的合作关系和网络连通性更强。不同水深细菌群落与真核生物群落之间的相互作用以正相关为主,两组在底层的负相关性略大于表层,表明底层物种间的竞争大于表层物种间的竞争。此外,表层水体中群落所有物种和关键物种的环境影响因素基本相同,但在深水层差异较大,表明水深变化对关键物种的影响机制与对所有物种的影响机制不同。研究结果进一步揭示了水库建设对不同微生物群落稳定性和种间相互作用的影响,为预测水库微生物群落变化和物质循环提供了理论依据。