Microbial community shift via black carbon: Insight into biological nitrogen removal from microbial assemblage and functional patterns

Microbial community shift via black carbon: Insight into biological nitrogen removal from microbial assemblage and functional patterns
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通过黑碳实现微生物群落转变:从微生物组合和功能模式洞察生物脱氮

DOI:
10.1016/j.envres.2020.110266
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发表时间:
2021-01-01
影响因子:
8.3
通讯作者:
Zhang, Huanjun
Zhang, Huanjun
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Lu, Yumiao;Zhang, Wenlong;Zhang, Huanjun

文献摘要

被引文献

相似文献

了解外部刺激下微生物群落的生态关系对于环境恢复至关重要。黑碳(例如生物炭)因其结构和氧化还原活性而被广泛认为是增强污染物去除的一种策略。然而,人们对黑碳添加下微生物群落的潜在生态机制知之甚少。本研究的主要目的是通过零模型测试、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,改性炭黑体系的硝酸盐去除效率达到46.44%。确定性过程和随机过程对于调节微生物组合都很重要,并且确定性过程主导(>95%)群落的组合。黑碳系统中的关键类群,包括硫磺菌属、异根瘤菌属和硝化螺菌属,刺激了与脱氮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率并促进了氮的去除。总体而言,本研究揭示了细菌群落组装的机制,并从微生物生态角度深入了解生物脱氮。
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.