Occurrence and metabolic properties of bacteria from the genus Novosphingobium indicate their use as model organisms for studying biodegradation processes in activated carbon filters in advanced wastewater purification

IF 12.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Yulduzkhon Abdullaeva , Stephanie Rochau , Marie Löwe , Johannes Holert , Bodo Philipp
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引用次数: 0

Abstract

Activated carbon filters are increasingly being installed in sewage treatment plants to adsorb organic micropollutants from purified wastewater. Biodegradation also contributes to micropollutant removal in the filters, but the respective microorganisms and underlying processes are largely unexplored. Particularly, it is unknown to which extent active desorption of micropollutants takes place and which molecular mechanisms are involved. For addressing these questions microbial model organisms are required. In this study, the prokaryotic microbiome of a newly installed activated carbon filter in a fourth clarification stage of a municipal wastewater treatment plant was analyzed over 12 months by 16S rRNA gene amplicon sequencing. Bacterial families with relative abundancies above 1% stabilized after 2 months and included the potential micropollutant degraders Hyphomonadaceae and Sphingomonadaceae. Among the latter, members of the genus Novosphingobium were frequently found and closely related to the type strain N. aromaticivorans DSM 12444, which is known to degrade synthetic chemicals. Strain DSM 12444 and the Pseudomonadaceae strains Teo15 and Salic, which were isolated from enrichment cultures with filter material but not detected in the microbiome, were selected as model organisms for laboratory growth experiments with granulated activated carbon loaded with benzoate and salicylate. Strain DSM 12444 reached a significantly higher final optical density when grown on granular activated carbon pre-loaded with either benzoate or salicylate compared to strains Teo15 and Salic, respectively. Extraction of residual benzoate and salicylate from activated carbon granules indicated that more than 95 % of the aromatic compounds had been depleted by strain DSM 12444 compared to about 70 % and 50 % by strains Teo15 and Salic, respectively. Transcriptomic analysis indicated differential gene expression of strain DSM1244 during growth with benzoate in the presence and absence of GAC. These results qualify N. aromaticivorans as a feasible model organism to study the mechanisms of bacterial growth with organic substrates adsorbed to activated carbon which could support the design of bioaugmentation strategies for enhancing micropollutant removal.
Novosphingobium属细菌的存在和代谢特性表明它们可以作为研究废水深度净化中活性炭过滤器生物降解过程的模式生物。
活性炭过滤器越来越多地安装在污水处理厂,以吸附来自净化废水的有机微污染物。生物降解也有助于过滤器中微污染物的去除,但相应的微生物和潜在的过程在很大程度上未被探索。特别是,微污染物的活性解吸在多大程度上发生以及涉及哪些分子机制尚不清楚。为了解决这些问题,需要微生物模式生物。在这项研究中,通过16S rRNA基因扩增子测序,在12个月的时间里分析了城市污水处理厂第四澄清阶段新安装的活性炭过滤器的原核微生物组。相对丰度在1%以上的细菌科在2个月后稳定下来,包括潜在的微污染物降解菌菌丝单胞菌科和鞘单胞菌科。在后者中,Novosphingobium属的成员经常被发现,并且与已知可降解合成化学品的N. aromaticivorans DSM 12444型菌株密切相关。选择从滤料富集培养中分离到的菌株DSM 12444和假单胞菌科菌株Teo15和Salic作为模式生物,以颗粒活性炭负载苯甲酸酯和水杨酸酯进行实验室生长实验。菌株DSM 12444在预载苯甲酸盐或水杨酸盐的颗粒活性炭上生长时,其最终光密度明显高于菌株Teo15和Salic。对活性炭颗粒中残留苯甲酸酯和水杨酸酯的提取表明,菌株DSM 12444对其芳香族化合物的去除率为95%,而菌株Teo15和Salic对其去除率分别为70%和50%。转录组学分析表明,菌株DSM 12444在GAC存在和不存在的情况下,在苯甲酸酯的作用下生长,基因表达存在差异。这些结果为研究有机基质吸附在活性炭上的细菌生长机制提供了一种可行的模式生物,可以为设计生物强化策略以增强微污染物的去除提供支持。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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