Bacterioplankton community indicators for seasonal variation in a fragmented subtropical river.

Abstract

In this study, spatiotemporal investigations were conducted along five cascade dams in the main channel of the North River of China during 2019 to explore bacterioplankton community indicators of water environments in a fragmented, highly regulated river. Bacterioplankton communities were good bioindicators of temporal variation in river environments, especially when considering the bacterial class level. Specifically, the most dominant bacterial classes (Gammaproteobacteria, Oxyphotobacteria, and Actinobacteria) and sub-dominant bacterial classes (Bacteroidia, Betaproteobacteria, and Acidimicrobiia) exhibited obvious temporal variation. Rainfall, water temperature (WT), water transparency (SD), and pH were all highly associated with temporal variation. In contrast, bacterioplankton indicators of spatial variation were limited to individual dominant bacterial classes for individual study periods, while rainfall, total phosphorus (TP), and pH were also associated with spatial variation. Clustering of bacterioplankton community compositions revealed that temporal differences were much stronger than spatial differences, which is consistent with most environmental parameters exhibiting obvious temporal differences, but minimal spatial differences. A possible reason for these observations could be that river fragmentation caused by cascade dams weakened spatial differences in communities, with WT, rainfall, and river runoff playing key roles in these patterns. In conclusion, bacterioplankton communities were good bioindicators of water environments in the fragmented river ecosystem of this study and their temporal variation was more apparent than their spatial variation.