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利用宏基因组学优化自然处理过程的性能,以增强痕量有机化学物质的衰减。

Tuning the performance of a natural treatment process using metagenomics for improved trace organic chemical attenuation.

机构信息

Chair of Urban Water Systems Engineering, Technische Universität München, Garching, Germany E-mail:

Department of Civil and Environmental Engineering, NSF Engineering Research Center ReNUWIt, Colorado School of Mines, Golden, CO, USA.

出版信息

Water Sci Technol. 2014;69(3):628-33. doi: 10.2166/wst.2013.750.

Abstract

By utilizing high-throughput sequencing and metagenomics, this study revealed how the microbial community characteristics including composition, diversity, as well as functional genes in managed aquifer recharge (MAR) systems can be tuned to enhance removal of trace organic chemicals of emerging concern (CECs). Increasing the humic content of the primary substrate resulted in higher microbial diversity. Lower concentrations and a higher humic content of the primary substrate promoted the attenuation of biodegradable CECs in laboratory and field MAR systems. Metagenomic results indicated that the metabolic capabilities of xenobiotic biodegradation were significantly promoted for the microbiome under carbon-starving conditions.

摘要

本研究通过高通量测序和宏基因组学,揭示了如何调整管理型含水层补给(MAR)系统中的微生物群落特征,包括组成、多样性和功能基因,以增强去除新兴关注的痕量有机化学品(CECs)的能力。增加主要基质的腐殖质含量会导致微生物多样性增加。较低浓度和较高腐殖质含量的主要基质促进了实验室和现场 MAR 系统中可生物降解的 CECs 的衰减。宏基因组学结果表明,在碳饥饿条件下,微生物组中外来生物生物降解的代谢能力得到了显著促进。

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