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Methylophilaceae and Hyphomicrobium as target taxonomic groups in monitoring the function of methanol-fed denitrification biofilters in municipal wastewater treatment plants

机译:嗜甲基菌科和Hypomicrobium作为目标分类组,以监测市政污水处理厂中的甲醇供料反硝化生物滤池的功能

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摘要

Molecular monitoring of bacterial communities can explain and predict the stability of bioprocesses in varying physicochemical conditions. To study methanol-fed denitrification biofilters of municipal wastewater treatment plants, bacterial communities of two full-scale biofilters were compared through fingerprinting and sequencing of the 16S rRNA genes. Additionally, 16S rRNA gene fingerprinting was used for 10-week temporal monitoring of the bacterial community in one of the biofilters. Combining the data with previous study results, the family Methylophilaceae and genus Hyphomicrobium were determined as suitable target groups for monitoring. An increase in the relative abundance of Hyphomicrobium-related biomarkers occurred simultaneously with increases in water flow, NOx− load, and methanol addition, as well as a higher denitrification rate, although the dominating biomarkers linked to Methylophilaceae showed an opposite pattern. The results indicate that during increased loading, stability of the bioprocess is maintained by selection of more efficient denitrifier populations, and this progress can be analyzed using simple molecular fingerprinting.
机译:细菌群落的分子监测可以解释和预测在各种物理化学条件下生物过程的稳定性。为了研究市政污水处理厂的甲醇喂养的反硝化生物滤池,通过指纹和16S rRNA基因测序比较了两个全尺寸生物滤池的细菌群落。此外,使用16S rRNA基因指纹图谱对其中一个生物滤池中的细菌群落进行10周的时间监视。将数据与以前的研究结果相结合,确定了嗜甲基菌科和Hyphomicrobium属作为监测的合适目标群体。与微生物相关的生物标志物相对丰度的增加与水流量,NOx-负荷和甲醇添加以及反硝化率的增加同时发生,尽管与嗜甲基菌科有关的主要生物标志物表现出相反的模式。结果表明,在增加负荷的过程中,通过选择更有效的反硝化剂种群来维持生物过程的稳定性,并且可以使用简单的分子指纹分析技术来分析这一进展。

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