Abstract

Although the health of rivers is threatened by multiple anthropogenic stressors with increasing frequency, the impacts of different types of industrial pollution with regard to the structure and diversity of the bacterial community in the river have not been fully recorded. In order to study the composition and interaction of bacterial communities and co-occurrence patterns of bacterial communities in rivers polluted by different industries, we sampled the sewage outfalls of textile factory, food manufacturer, steel plant and lighting factory. The result showed that the bacterial community composition significantly differed in the rivers polluted by distinct types of industrial pollution. In addition, correlation-based network analysis showed that the microbial under different industrial pollution types have a nonrandom modular structure, and the nodes in the different modules perform different functions. In summary, adaptive changes in the composition of bacterial communities in rivers and the occurrence of species interactions are responses to different types of industrial pollution.

摘要

尽管河流的健康受到越来越多的人为压力的威胁，但尚未充分记录不同类型的工业污染对河流细菌群落的结构和多样性的影响。为了研究不同行业污染的河流中细菌群落的组成和相互作用以及细菌群落的共生模式，我们对纺织厂，食品厂，钢铁厂和照明厂的排污口进行了采样。结果表明，在受到不同类型工业污染污染的河流中，细菌群落组成显着不同。此外，基于相关性的网络分析表明，不同工业污染类型下的微生物具有非随机的模块化结构，并且不同模块中的节点执行不同的功能。总之，河流中细菌群落组成的适应性变化和物种相互作用的发生是对不同类型工业污染的反应。