CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Environ Pollut. 2018 Nov;242(Pt B):1729-1739. doi: 10.1016/j.envpol.2018.07.097. Epub 2018 Jul 24.
The urban water ecosystems, such as the landscape ponds are commonly considered under the influence of anthropogenic disturbances, which can lead to the deterioration of the water quality. The prokaryotic communities are considered as one of the best indicators of the water quality. However, there are significant gaps in understanding the ecological processes that shape the composition and function of prokaryotic communities in the urban water ecosystems. Here, we investigated the biogeographic distribution of prokaryotic assemblages in water environments including landscape ponds, drinking water reservoirs, influents (IFs) and effluents (EFs) of wastewater treatment plants of a coastal city (Xiamen), China, by using 16S rDNA amplicon sequencing. Our results indicated that the ponds had higher α-diversity of prokaryotic communities than those in the reservoirs, while there were significant variations in the community compositions among ponds, reservoirs, IFs and EFs. Moreover, ponds harbored a significantly higher proportion of sewage- and fecal-indicator taxa than those in the reservoirs, suggesting the occurrence of exogenous pollution in the urban ponds. Null model analysis revealed that dispersal limitation was the main ecological processes resulting in the divergence of prokaryotic community compositions between ponds and other environments, while dispersal limitation and variable selection played an essential role in the formation of unique prokaryotic assemblages in the reservoirs. Function predication analysis demonstrated that the ponds shared more similar functional profiles with IFs or EFs (e.g., chemoheterotrophy, fermentation, chlorate reducers, nitrate reduction and respiration) than the reservoirs, whereas dominance of photoautotrophy was observed in the reservoirs. Overall, this study provides a profound insight of the ecological mechanisms underlying the responses of prokaryotic communities in the urban landscape ponds to the anthropogenic disturbances.
城市水生态系统，如景观池塘，通常被认为受到人为干扰的影响，这可能导致水质恶化。原核生物群落被认为是水质的最佳指标之一。然而，对于塑造城市水生态系统中原核生物群落组成和功能的生态过程，我们的理解还存在很大的差距。在这里，我们通过 16S rDNA 扩增子测序，调查了包括景观池塘、饮用水水库、污水处理厂进水（IF）和出水（EF）在内的水环境污染中原核生物组合的生物地理分布。结果表明，池塘中原核生物群落的 α-多样性高于水库，而池塘、水库、IF 和 EF 之间的群落组成存在显著差异。此外，池塘中含有更高比例的污水和粪便指示类群，表明城市池塘中存在外源污染。零模型分析表明，扩散限制是导致池塘和其他环境中原核生物群落组成差异的主要生态过程，而扩散限制和可变选择在水库中独特原核生物组合的形成中起着重要作用。功能预测分析表明，与水库相比，池塘与 IF 或 EF 具有更多相似的功能谱（例如，化感异养、发酵、氯酸盐还原、硝酸盐还原和呼吸），而水库中则占主导地位的是光合作用。总体而言，这项研究深入了解了城市景观池塘中原核生物群落对人为干扰的响应的生态机制。
