Key Laboratory of Reservoir Aquatic Environment of CAS, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China.
Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China.
Sci Rep. 2017 Feb 13;7:42469. doi: 10.1038/srep42469.
Large rivers are commonly regulated by damming, yet the effects of such disruption on bacterioplankton community structures have not been adequately studied. The aim of this study was to explore the biogeographical patterns present under dam regulation and to uncover the major drivers structuring bacterioplankton communities. Bacterioplankton assemblages in the Three Gorges Reservoir (TGR) were analyzed using Illumina Miseq sequencing by comparing seven sites located within the TGR before and after impoundment. This approach revealed ecological and spatial-temporal variations in bacterioplankton community composition along the longitudinal axis. The community was dynamic and dominated by Proteobacteria and Actinobacteria phyla, encompassing 39.26% and 37.14% of all sequences, respectively, followed by Bacteroidetes (8.67%) and Cyanobacteria (3.90%). The Shannon-Wiener index of the bacterioplankton community in the flood season (August) was generally higher than that in the impoundment season (November). Principal Component Analysis of the bacterioplankton community compositions showed separation between different seasons and sampling sites. Results of the relationship between bacterioplankton community compositions and environmental variables highlighted that ecological processes of element cycling and large dam disturbances are of prime importance in driving the assemblages of riverine bacterioplankton communities.
大型河流通常通过筑坝来进行调节，但这种干扰对浮游细菌群落结构的影响尚未得到充分研究。本研究旨在探讨大坝调节下存在的生物地理模式，并揭示浮游细菌群落结构的主要驱动因素。本研究通过比较三峡水库蓄水前后的 7 个地点，使用 Illumina Miseq 测序对三峡水库中的浮游细菌进行了分析。该方法揭示了沿纵向轴的浮游细菌群落组成的生态和时空变化。群落是动态的，以变形菌门和放线菌门为主，分别占所有序列的 39.26%和 37.14%，其次是拟杆菌门（8.67%）和蓝细菌门（3.90%）。洪水季节（8 月）浮游细菌群落的 Shannon-Wiener 指数普遍高于蓄水季节（11 月）。浮游细菌群落组成的主成分分析表明，不同季节和采样点之间存在分离。浮游细菌群落组成与环境变量之间关系的结果突出表明，元素循环和大型水坝干扰的生态过程是驱动河流浮游细菌群落组合的主要因素。
