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Microbial community assembly and metabolic function in top layers of slow sand filters for drinking water production

机译:微生物群落组件和代谢功能在饮用水生产中慢砂滤清器顶层

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摘要

Slow sand filters (SSFs) are widely applied to treat potable water; the removal of contaminants (e.g., particles, organic matter, and microorganism) occurs primarily in the top layer. However, the develop-ment of the microbial community and its metabolic function is still poorly understood. In the present study, we analyzed the microbial quantity and community of the influents sampled from the effluent of the last step (rapid sand filtration) and of the top layers of SSFs (Schmutzdecke, 0-2 cm, 4-6 cm, 8-10 cm) sampled near terminal head loss when the Schmutzdecke (SCM) was most developed in two full-scale drinking water treatment plants (DWTPs). The two DWTPs use the same artificially recharged groundwater source. The biomass in the filter, quantified by flow cytometric intact cell counts (ICC) and adenosine triphosphate (ATP), decreased rapidly along the depth till 8-10 cm (1 log TCC; 75% ATP); the decrease was most pronounced from the SCM to the surface sand layer (0-2 cm), after which the biomass stabilized quickly at lower depths (2-10 cm). Remarkably, beta diversity showed that SSFs layers of the same depth in two DWTPs with distinctive filter age and plant location clustered together, which indicated their insignificant effects in shaping microbial communities in SSFs. The alpha diversity indices followed the trend of the biomass, suggesting more active and diverse communities in SCM layer. PICRUSt-based function prediction revealed significant over-representation of metabolism and degra-dation of complex organic matters (e.g., butanoate, propanoate, xenobiotic, D-Alanine, chloroalkene, and bisphenol) in SCM layer, the functional importance of which was confirmed by the co-occurrence pat-terns of the dominant taxa and metabolic functions. Using an island biogeography model, we found that microbial communities in SSFs were strongly assembled by selection (68 OTUs, 50.0% sequences), rather than by simple accumulation of the microbial communities in the influents (120 OTUs, 44.8% sequences). Our findings enhance the understanding of microbial community assembly and of metabolic function in the top layers of SSFs, and constitute a valuable contribution to optimizing the design and operation of biofilters in full-scale DWTPs. ? 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
机译:慢砂滤器(SSF)广泛应用于治疗饮用水;除去污染物(例如,颗粒,有机物和微生物)主要发生在顶层中。然而,微生物群落的发育及其代谢功能仍然不知所措。在本研究中,我们分析了从最后一步(快速砂过滤)和SSF的顶层(Schmutzdecke,0-2cm,4-6厘米,8- 10厘米)当Schmutzdecke(SCM)在两个全规模饮用水处理厂(DWTPS)中最开发时,在端子头部损失附近采样。两种DWTPS使用相同的人工充电地下水源。过滤器中的生物质,通过流式细胞沉积细胞计数(ICC)和三磷酸腺苷(ATP)量化,沿着深度迅速降低至8-10cm(& 1 log tcc; 75%ATP);从SCM到表面砂层(0-2cm)的减少最明显,之后将生物质快速稳定在较低深度(2-10cm)。值得注意的是,β多样性表明,两种DWTPS的SSFS层相同的深度,具有独特的过滤器年龄和植物位置聚集在一起,这表明它们在SSF中塑造微生物社区的微不足道。 alpha多样性指数遵循生物量的趋势,暗示了SCM层中的更积极和多样化的社区。基于Picrust的功能预测揭示了在SCM层中的复合有机物质的代谢和丁醇,丙酸盐,异丙酸,D-丙氨酸,氯烷烃和双酚的降解的显着过度表示,其功能重要性是通过的共同发生的占主导地位的Pat-燕鸥和代谢功能。使用岛屿生物地理模型,我们发现SSFS中的微生物社区通过选择强烈组装(68 oTus,50.0%序列),而不是通过对物种的微生物群落的简单积累(120 oTus,44.8%序列)。我们的研究结果提高了对SSF的顶层中微生物群落组件和代谢功能的理解,并构成了优化全尺寸DWTPS的生物过滤器的设计和运行的宝贵贡献。还2021提交人。由elsevier有限公司发布这是CC下的开放式访问文章(http://creativecommons.org/licenses/by/4.0/)。

著录项

  • 来源
    《Journal of Cleaner Production》 |2021年第20期|126342.1-126342.11|共11页
  • 作者单位

    Chinese Acad Sci Res Ctr Ecoenvironm Sci Key Lab Drinking Water Sci & Technol Beijing 100085 Peoples R China|Delft Univ Technol Fac Civil Engn & Geosci Dept Water Management Sanit Engn POB 5048 NL-2600 GA Delft Netherlands;

    Delft Univ Technol Fac Civil Engn & Geosci Dept Water Management Sanit Engn POB 5048 NL-2600 GA Delft Netherlands|Univ Twente Sci & Technol POB 217 NL-7500 AE Enschede Netherlands|Oasen Water Co POB 122 NL-2800 AC Gouda Netherlands;

    Dunea Water Co POB 756 NL-2700 AT Zoetermeer Netherlands;

    Chinese Acad Sci Res Ctr Ecoenvironm Sci Key Lab Drinking Water Sci & Technol Beijing 100085 Peoples R China|Delft Univ Technol Fac Civil Engn & Geosci Dept Water Management Sanit Engn POB 5048 NL-2600 GA Delft Netherlands;

    Univ Twente Sci & Technol POB 217 NL-7500 AE Enschede Netherlands|Oasen Water Co POB 122 NL-2800 AC Gouda Netherlands;

    Delft Univ Technol Fac Civil Engn & Geosci Dept Water Management Sanit Engn POB 5048 NL-2600 GA Delft Netherlands|KWR Water Res Inst POB 1072 NL-3430 BB Nieuwegein Netherlands|Michigan State Univ 1405 S Harrison Rd E Lansing MI 48823 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Slow sand filters; Top layers; Schmutzdecke; Microbial community assembly; Predicted metabolic function; Neutral community model;

    机译:慢砂滤光器;顶层;施默兹德克;微生物社区组装;预测代谢功能;中立社区模型;
  • 入库时间 2022-08-19 02:23:36

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