Community structure and interaction of bacterioplankton under pollution stress in Jinjiang River of Poyang Lake basin

Abstract:

[Objective] To explore the effect of water pollution stress on the bacterioplankton community in the river. [Methods] Principal component analysis was performed to classify the water pollution stress into high, intermediate, and low levels. The diversity, composition, and interaction of bacterioplankton in the main stream of Jinjiang River in Poyang Lake basin were analyzed via high-throughput sequencing technology. [Results] The dominant phyla of bacterioplankton in the Jinjiang River under pollution stress included Pseudomonadota (13.53%-45.83%), Actinobacteriota (17.05%-40.50%), Bacteroidota (5.79%-31.56%), Cyanobacteria (0.41%-59.31%), and Bacillota (0.11%-4.81%). Among them, the abundance of Bacillota differed significantly (P=0.03) between different levels of pollution stress. The bacterioplankton composition varied significantly (P=0.046) between different levels of pollution stress. The Chao1 and ACE indices were significantly higher in the areas with low pollution stress than in those with medium pollution stress (P=0.024 and 0.037), and Shannon diversity index did not show significant difference. The topological characteristics of the symbiotic network indicated that with decrease of pollution stress, the complexity and stability of the bacterial symbiotic network increased and the interaction between bacterioplankton enhanced. [Conclusion] Pollution stress significantly changed the structure and interaction of bacterioplankton in the Jinjiang River. This study provides ecological reference for the detection, monitoring, and control of water pollution from a microbial perspective.

Key words:water pollution stress;high-throughput sequencing;bacterioplankton community;diversity;bacterial community interaction