Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, PR China.
Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, PR China.
Environ Res. 2021 Jan;192:110266. doi: 10.1016/j.envres.2020.110266. Epub 2020 Sep 28.
Understanding the ecological relationship of microbial community under external stimulation is crucial for environmental restoration. Black carbon (e.g., biochar) have been widely deemed as a strategy to enhance pollutants removal because of its structure and redox-active property. However, the underlying ecological mechanism of microbial community under black carbon addition is poorly understood. The major purposes of this study were to determine the microbial assemblage and functional patterns via null model test, network analysis, and function prediction. The results showed that the nitrate removal efficiency of modified black carbon system achieved 46.44%. Both deterministic and stochastic processes were significant for mediating the microbial assemblage and the deterministic process dominated (>95%) the assemblage of community. Keystone taxa in the black carbon systems, involving Sulfuricella, Allorhizobium, and Nitrospira, stimulated the shift of community composition regarding the nitrogen removal. The existence of black carbon and the biotic interactions increased biological nitrate utilization and promoted nitrogen removal. Overall, this study presents the mechanism of bacterial community assembly and provides insight into biological nitrogen removal from microbial ecological perspective.
理解微生物群落在外源刺激下的生态关系对于环境修复至关重要。由于其结构和氧化还原活性,黑碳(如生物炭)已被广泛认为是增强污染物去除的一种策略。然而,添加黑碳后微生物群落的潜在生态机制仍不清楚。本研究的主要目的是通过零模型检验、网络分析和功能预测来确定微生物组合和功能模式。结果表明,改性黑碳系统的硝酸盐去除效率达到了 46.44%。确定性和随机性过程对微生物组合都有重要影响,其中确定性过程(>95%)主导着群落的组合。黑碳系统中的关键类群,包括 Sulfuricella、Allorhizobium 和 Nitrospira,刺激了与氮去除有关的群落组成的变化。黑碳的存在和生物相互作用增加了生物硝酸盐的利用,促进了氮的去除。总的来说,本研究提出了细菌群落组装的机制,并从微生物生态角度提供了对生物脱氮的深入了解。