Xia Jingjing, Yu Kai, Yao Zhiyuan, Sheng Huafeng, Mao Lijuan, Lu Dingnan, Gan HuiHui, Zhang Shulin, Zhu David Z
School of Civil & Environmental Engineering and Geography Science, Ningbo University, Ningbo, China.
Institute of Ocean Engineering, Ningbo University, Ningbo, China.
Front Microbiol. 2023 Dec 20;14:1327523. doi: 10.3389/fmicb.2023.1327523. eCollection 2023.
Prokaryotic communities play important roles in sewer sediment ecosystems, but the community composition, functional potential, and assembly mechanisms of sewer sediment prokaryotic communities are still poorly understood. Here, we studied the sediment prokaryotic communities in different urban functional areas (multifunctional, commercial, and residential areas) through 16S rRNA gene amplicon sequencing. Our results suggested that the compositions of prokaryotic communities varied significantly among functional areas. , , and involved in the sulfur cycle and some hydrolytic fermentation bacteria were enriched in multifunctional area, while and , which were related to methane metabolism were significantly discriminant taxa in the commercial area. Physicochemical properties were closely related to overall community changes ( < 0.001), especially the nutrient levels of sediments (i.e., total nitrogen and total phosphorus) and sediment pH. Network analysis revealed that the prokaryotic community network of the residential area sediment was more complex than the other functional areas, suggesting higher stability of the prokaryotic community in the residential area. Stochastic processes dominated the construction of the prokaryotic community. These results expand our understanding of the characteristics of prokaryotic communities in sewer sediment, providing a new perspective for studying sewer sediment prokaryotic community structure.
原核生物群落对下水道沉积物生态系统起着重要作用,但下水道沉积物原核生物群落的组成、功能潜力和组装机制仍知之甚少。在此,我们通过16S rRNA基因扩增子测序研究了不同城市功能区(多功能区、商业区和住宅区)的沉积物原核生物群落。我们的结果表明,原核生物群落的组成在功能区之间存在显著差异。参与硫循环的[具体微生物名称未给出]以及一些水解发酵细菌在多功能区富集,而与甲烷代谢相关的[具体微生物名称未给出]和[具体微生物名称未给出]是商业区显著不同的分类群。理化性质与整个群落变化密切相关(P<0.001),尤其是沉积物的营养水平(即总氮和总磷)和沉积物pH值。网络分析表明,住宅区沉积物的原核生物群落网络比其他功能区更复杂,表明住宅区原核生物群落具有更高的稳定性。随机过程主导了原核生物群落的构建。这些结果扩展了我们对下水道沉积物中原核生物群落特征的理解,为研究下水道沉积物原核生物群落结构提供了新的视角。