School of Civil Engineering and Architecture, Chuzhou University, Chuzhou, 239000, China.
School of Civil Engineering and Architecture, Chuzhou University, Chuzhou, 239000, China.
Ecotoxicol Environ Saf. 2020 Jul 15;198:110657. doi: 10.1016/j.ecoenv.2020.110657. Epub 2020 Apr 25.
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.
作为流域生态系统中的微生物群体，细菌群落是外部环境波动的敏感指标。然而，不同外源污染对入流河和湖泊中细菌群落多样性和结构的影响尚未得到深入研究。在本研究中，我们使用 16S rRNA 基因测序技术研究了受不同类型外源污染影响的河流中细菌群落的多样性和组成。结果表明，不同外源污染源河流中细菌群落的组成不同。例如，属于γ-变形菌的 Arenimonas 属在 IDPR（工业和生活污染河流）和 ADPR（农业和生活污染河流）中广泛富集（KW，p<0.05），而 Micromonospora 属是在 APR（农业污染河流）中更为独特的属。在探索河流微生物共生模型的拓扑结构和分类特征时，发现细菌群落共生网络在不同外源污染条件下分为六个模块，不同模块中的节点执行不同的功能，例如 IDPR 主导的模块 I。在网络中，相对丰富的 Flavobacterium 属和 Nitrospira 属是采集样本流域氮循环的关键驱动因素。此外，我们的研究表明，湖泊环境中的群落可能更容易受到各种生理或功能冗余的干扰，从而保留其原始的群落结构。总体而言，本研究强调了流域沉积物中细菌群落结构的适应性变化和相互作用的发生是对外源污染的响应。
