Contribution of influent rivers affected by different types of pollution to the changes of benthic microbial community structure in a large lake

文献类型： 外文期刊

第一作者： Zhang, Lei

作者： Zhang, Lei;Zhao, Feng;Li, Xingchen;Lu, Wenxuan

作者机构：

关键词： Watershed ecosystems; Illumina high-throughput sequencing; Exogenous pollution; Network analysis

期刊名称：ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY （ 影响因子：6.291； 五年影响因子：6.393 ）

ISSN： 0147-6513

年卷期： 2020 年 198 卷

页码：

收录情况： SCI

摘要： As a microbial group in watershed ecosystems, the bacterial community is a sensitive indicator of external environmental fluctuations. However, the effects of different sources of exogenous pollution on the diversity and structure of bacterial communities in inflow rivers and lakes have not been studied in depth. In this study, we used 16S rRNA gene sequencing technology to study the diversity and composition of bacterial communities in rivers affected by different types of pollution. The results showed that the composition of the bacterial communities in rivers with different exogenous pollution sources was different. For example, the genus Arenimonas, which belongs to the Gamma-proteobacteria, is extensively enriched in IDPR (industrially and domestically polluted rivers) and ADPR (agriculturally and domestically polluted rivers) (KW, p < 0.05), while the genus Micromonospora is a more unique genus found in APR (agriculturally polluted rivers). When exploring the topology and classification characteristics of river microbial symbiosis models, it was found that the bacterial community symbiosis network is divided into six modules under different exogenous pollution regimes, and the nodes in the different modules perform different functions, such as the IDPR-dominated module I. In the network, the relatively abundant the genus Flavobacterium and the genus Nitrospira are the key factors driving the nitrogen cycle in the watershed where the samples were collected. In addition, our research indicates that communities in lake environments may be more susceptible to disturbances of various physiological or functional redundancies, thus retaining their original community structure. Overall, this study emphasizes that adaptive changes in the bacterial community structure of the sediments in the catchment and the occurrence of interactions are responses to different exogenous pollution sources.

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