元基因组分析揭示了全规模 EBPR 和 S2EBPR 系统之间的群落级代谢差异

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Guangyu Li , Varun Srinivasan , Nicholas B. Tooker , Dongqi Wang , Annalisa Onnis-Hayden , Charles Bott , Paul Dombrowski , Ameet Pinto , April Z. Gu
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引用次数: 0

摘要

侧流增强型生物除磷技术(S2EBPR)已成为一项有前途的技术,解决了传统增强型生物除磷(EBPR)的某些挑战,特别是除磷的稳定性,但其潜在机制尚未完全了解。宏基因组分析提供了一种强有力的方法来阐明EBPR和S2EBPR配置之间的社区水平代谢差异。在这项研究中,我们比较了三个EBPR和三个S2EBPR活性污泥群落的分类、关键功能途径/基因和多磷酸盐代谢标记基因的宏基因组分析。分析结果显示,S2EBPR群落的属级多样性差异较大,表明不同操作配置影响了不同的微生物群落组成。S2EBPR系统的多样性指数高于EBPR系统,并且在EBPR系统中检测到更高的Ca. Accumulibacter丰度,而发酵候选PAOs属,包括Ca. Phosphoribacter和Ca. proneifilum,在S2EBPR系统中更丰富。EBPR组和S2EBPR组显示出与碳氮代谢相关的核心代谢相关的基因和途径丰度模式相似。polyp代谢标记基因系统发育分析表明,外多磷酸酶基因(ppx)在EBPR和S2EBPR群落间的差异优于多磷酸激酶基因(ppk)。这也突出了精细微多样性分析和利用ppk基因寻找新的积累杆菌分支和物种的需求。这些发现为AS群落动态和代谢功能提供了有价值的见解,为进一步研究优化废水处理系统中的除磷过程铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metagenomic analysis revealed community-level metabolic differences between full-scale EBPR and S2EBPR systems
Side-Stream Enhanced Biological Phosphorus Removal (S2EBPR) has emerged as a promising technology addressing certain challenges of conventional Enhanced Biological Phosphorus Removal (EBPR), notably stability in phosphorus removal, yet the underlying mechanisms are not fully understood. Metagenomic analysis presents a powerful approach to elucidate community-level metabolic differences between EBPR and S2EBPR configurations. In this study, we compared three EBPR and three S2EBPR activated sludge communities using metagenomic analysis at taxonomy, key functional pathways/genes, and polyphosphate-metabolism marker genes. Our analysis revealed larger genus-level diversity variance in S2EBPR communities, indicating distinct microbial community compositions influenced by different operational configurations. A higher diversity index in the S2EBPR than the EBPR was observed, and a higher Ca. Accumulibacter abundance was detected in EBPRs, whereas the fermentative candidate PAOs genera, including Ca. Phosphoribacter and Ca. Promineifilum, were more abundant in S2EBPR systems. EBPR and S2EBPR groups displayed similar gene and pathway abundance patterns related to core metabolisms essential for carbon and nitrogen metabolism. PolyP-metabolism marker gene phylogeny analysis suggested that exopolyphosphatase gene (ppx) showed better distinctions between EBPR and S2EBPR communities than polyphosphate kinase gene (ppk). This also highlighted the needs in fine-cale microdiversity analysis and finding novel Ca. Accumulibacter clades and species as resolved using the ppk gene. These findings provide valuable insights into AS community dynamics and metabolic functionalities, paving the way for further research into optimizing phosphorus removal processes in wastewater treatment systems.
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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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