Li Shuangfei, Wang Shilin, Wong Ming Hung, Zaynab Madiha, Wang Keju, Zhong Liping, Ouyang Liao
Shenzhen Key Laboratory of Marine Bioresource & Eco-Environmental Sciences, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 518071, China.
Environment, Education and Research (CHEER), Consortium On Health, The Education University of Hong Kong, Tai Po, Hong Kong, China.
Environ Sci Pollut Res Int. 2023 Jan;30(1):1232-1243. doi: 10.1007/s11356-022-21947-8. Epub 2022 Aug 1.
Wastewater treatment plants have been described as a potential source of spreading pathogens to the receiving water. However, few studies are reporting the presence and concentration changes of pathogens in these matrices. High-throughput sequencing provides new insights into understanding the changes of bacterial communities throughout wastewater treatment plants (WWTPs). In this study, the changes in microbial community composition and the levels of representative pathogens of effluents during the wastewater treatment process in two municipal WWTPs (A and B) were analyzed using Illumina NovaSeq sequencing and qPCR. Proteobacteria was the most abundant phylum in all samples, accounting for 45.0-75.2% of the bacterial community, followed by Firmicutes, Bacteroidetes, Actinobacteria, and Nitrospirae. A slight difference was observed between the bacterial community compositions of WWTPs A and B. However, a significant difference in the community compositions of effluent samples at different treatment stages was observed. Nutrients had a more substantial impact on bacterial community composition than physicochemical factors. Most human-associated Bacteroides and Mycobacterium were eliminated during the wastewater treatment process in both WWTPs. The bacterial community richness in WWTP A was significantly higher than that in WWTP B. The results of this study will provide insights into the potential problems that exist in WWTPs. In turn, these insights can enable the efficient and stable operation of WWTPs and help prevent the spread of pathogens.
污水处理厂被认为是向受纳水体传播病原体的一个潜在来源。然而，很少有研究报道这些基质中病原体的存在情况和浓度变化。高通量测序为了解整个污水处理厂（WWTPs）细菌群落的变化提供了新的视角。在本研究中，使用Illumina NovaSeq测序和qPCR分析了两个城市污水处理厂（A厂和B厂）污水处理过程中微生物群落组成的变化以及出水代表性病原体的水平。变形菌门是所有样本中最丰富的菌门，占细菌群落的45.0 - 75.2%，其次是厚壁菌门、拟杆菌门、放线菌门和硝化螺旋菌门。观察到A厂和B厂的细菌群落组成存在细微差异。然而，在不同处理阶段的出水样本群落组成中观察到显著差异。营养物质对细菌群落组成的影响比物理化学因素更大。在两个污水处理厂的污水处理过程中，大多数与人类相关的拟杆菌属和分枝杆菌属都被去除。A厂的细菌群落丰富度显著高于B厂。本研究结果将为污水处理厂存在的潜在问题提供见解。反过来，这些见解可以使污水处理厂高效稳定运行，并有助于防止病原体传播。
