College of Environmental Science and Engineering, Hunan University, Changsha 410082, P. R. China.
Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha 410082, P. R. China.
Environ Sci Technol. 2023 Feb 21;57(7):2726-2738. doi: 10.1021/acs.est.2c04705. Epub 2023 Feb 6.
The characterization of variations in riverine microbiota that stem from contaminant sources and transport modes is important for understanding biogeochemical processes. However, the association between complex anthropogenic nitrogen pollution and bacteria has not been extensively investigated owing to the difficulties faced while determining the distribution of nitrogen contaminants in watersheds. Here, we employed the Soil and Water Assessment Tool alongside microbiological analysis to explore microbial characteristics and their responses to complex nitrogen pollution patterns. Significant variations in microbial communities were observed in sub-basins with distinct land-water pollution transport modes. Point source-dominated areas (PSDAs) exhibited reduced microbial diversity, high number of denitrification groups, and increased nitrogen cycling compared with others. The negative relative deviations (-3.38) between the measured and simulated nitrate concentrations in PSDAs indicated that nitrate removal was more effective in PSDAs. Pollution sources were also closely associated with microbiota. Effluents from concentrated animal feeding operations were the primary factors relating to the microbiota compositions in PSDAs and balanced areas. In nonpoint source-dominated areas, contaminants from septic tanks become the most relevant sources to microbial community structures. Overall, this study expands our knowledge regarding microbial biogeochemistry in catchments and beyond by linking specific nitrogen pollution scenarios to microorganisms.
河流微生物区系变异的特征源于污染物来源和传输模式,这对于理解生物地球化学过程很重要。然而,由于在确定流域中氮污染物的分布时面临困难,复杂的人为氮污染与细菌之间的关联尚未得到广泛研究。在这里,我们采用土壤和水评估工具以及微生物分析来探索微生物特征及其对复杂氮污染模式的响应。具有不同土地-水污染物传输模式的子流域中观察到微生物群落的显著变化。与其他流域相比,以点源为主的区域(PSDA)的微生物多样性降低,反硝化菌数量较多,氮循环增加。PSDA 中实测和模拟硝酸盐浓度之间的负相对偏差(-3.38)表明硝酸盐去除在 PSDA 中更有效。污染来源也与微生物区系密切相关。集中式动物饲养场的废水是与 PSDA 和平衡区微生物区系组成相关的主要因素。在非点源为主的地区,来自化粪池的污染物成为与微生物群落结构最相关的来源。总的来说,这项研究通过将特定的氮污染情景与微生物联系起来,扩展了我们对集水区及其他地区微生物生物地球化学的认识。