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Cheng H, Monjed MK, Myshkevych Y, Wang T, Hong PY. Accounting for the microbial assembly of each process in wastewater treatment plants (WWTPs): study of four WWTPs receiving similar influent streams. Appl Environ Microbiol 2024; 90:e0225323. [PMID: 38440988 PMCID: PMC11022531 DOI: 10.1128/aem.02253-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/08/2024] [Indexed: 03/06/2024] Open
Abstract
We evaluated a unique model in which four full-scale wastewater treatment plants (WWTPs) with the same treatment schematic and fed with similar influent wastewater were tracked over an 8-month period to determine whether the community assembly would differ in the activated sludge (AS) and sand filtration (SF) stages. For each WWTP, AS and SF achieved an average of 1-log10 (90%) and <0.02-log10 (5%) reduction of total cells, respectively. Despite the removal of cells, both AS and SF had a higher alpha and beta diversity compared to the influent microbial community. Using the Sloan neutral model, it was observed that AS and SF were individually dominated by different assembly processes. Specifically, microorganisms from influent to AS were predominantly determined by the selective niche process for all WWTPs, while the microbial community in the SF was relatively favored by a stochastic, random migration process, except two WWTPs. AS also contributed more to the final effluent microbial community compared with the SF. Given that each WWTP operates the AS independently and that there is a niche selection process driven mainly by the chemical oxygen demand concentration, operational taxonomic units unique to each of the WWTPs were also identified. The findings from this study indicate that each WWTP has its distinct microbial signature and could be used for source-tracking purposes.IMPORTANCEThis study provided a novel concept that microorganisms follow a niche assembly in the activated sludge (AS) tank and that the AS contributed more than the sand filtration process toward the final microbial signature that is unique to each treatment plant. This observation highlights the importance of understanding the microbial community selected by the AS stage, which could contribute toward source-tracking the effluent from different wastewater treatment plants.
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Affiliation(s)
- Hong Cheng
- Key Laboratory of Eco-environments in Three Gorges Reservoir Region, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, China
- Environmental Science and Engineering, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Mohammad K. Monjed
- Department of Biology, Faculty of Applied Science, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Yevhen Myshkevych
- Environmental Science and Engineering, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Tiannyu Wang
- Water Desalination and Reuse Center, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Pei-Ying Hong
- Environmental Science and Engineering, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Water Desalination and Reuse Center, Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
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Cheng H, Medina JS, Zhou J, Pinho EM, Meng R, Wang L, He Q, Morán XA, Hong PY. Predicting Anaerobic Membrane Bioreactor Performance Using Flow-Cytometry-Derived High and Low Nucleic Acid Content Cells. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:2360-2372. [PMID: 38261758 PMCID: PMC10851436 DOI: 10.1021/acs.est.3c07702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 12/20/2023] [Accepted: 12/20/2023] [Indexed: 01/25/2024]
Abstract
Having a tool to monitor the microbial abundances rapidly and to utilize the data to predict the reactor performance would facilitate the operation of an anaerobic membrane bioreactor (AnMBR). This study aims to achieve the aforementioned scenario by developing a linear regression model that incorporates a time-lagging mode. The model uses low nucleic acid (LNA) cell numbers and the ratio of high nucleic acid (HNA) to LNA cells as an input data set. First, the model was trained using data sets obtained from a 35 L pilot-scale AnMBR. The model was able to predict the chemical oxygen demand (COD) removal efficiency and methane production 3.5 days in advance. Subsequent validation of the model using flow cytometry (FCM)-derived data (at time t - 3.5 days) obtained from another biologically independent reactor did not exhibit any substantial difference between predicted and actual measurements of reactor performance at time t. Further cell sorting, 16S rRNA gene sequencing, and correlation analysis partly attributed this accurate prediction to HNA genera (e.g., Anaerovibrio and unclassified Bacteroidales) and LNA genera (e.g., Achromobacter, Ochrobactrum, and unclassified Anaerolineae). In summary, our findings suggest that HNA and LNA cell routine enumeration, along with the trained model, can derive a fast approach to predict the AnMBR performance.
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Affiliation(s)
- Hong Cheng
- Key
Laboratory of Eco-environments in Three Gorges Reservoir Region, Ministry
of Education, College of Environment and Ecology, Chongqing University, Chongqing 400044, People’s
Republic of China
- Environmental
Science and Engineering Program, Biological and Environmental Sciences
& Engineering Division (BESE), King
Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Julie Sanchez Medina
- Environmental
Science and Engineering Program, Biological and Environmental Sciences
& Engineering Division (BESE), King
Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Water
Desalination and Reuse Center (WDRC), Biological and Environmental
Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Jianqiang Zhou
- Environmental
Science and Engineering Program, Biological and Environmental Sciences
& Engineering Division (BESE), King
Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- State
Power Investment Corporation Research Institute, Beijing 102209, People’s Republic of China
| | - Eduardo Machado Pinho
- Environmental
Science and Engineering Program, Biological and Environmental Sciences
& Engineering Division (BESE), King
Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Department
of Bioengineering, Faculty of Engineering, University of Porto, 4099-002 Porto, Portugal
| | - Rui Meng
- Lawrence
Berkeley National Laboratory, Berkeley, California 94301, United States
- Amazon,
Incorporated, Palo Alto, California 94301, United States
| | - Liuwei Wang
- Systems
Medicine of Infectious Disease (P5), Robert
Koch Institute, 13353 Berlin, Germany
- Department
of Mathematics and Computer Science, Freie
Universität Berlin, 10117 Berlin, Germany
| | - Qiang He
- Key
Laboratory of Eco-environments in Three Gorges Reservoir Region, Ministry
of Education, College of Environment and Ecology, Chongqing University, Chongqing 400044, People’s
Republic of China
| | - Xosé Anxelu
G. Morán
- Red
Sea Research Center, Biological and Environmental Science & Engineering
Division, King Abdullah University of Science
and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Pei-Ying Hong
- Environmental
Science and Engineering Program, Biological and Environmental Sciences
& Engineering Division (BESE), King
Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Water
Desalination and Reuse Center (WDRC), Biological and Environmental
Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
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Zou L, Zhou M, Qin C, Luo Z, Zhang H, Yang Z, Cheng H, Li R, He Q, Ai H. Improving the performance of coupled solid carbon source biofilm carriers through pore-forming methods. CHEMOSPHERE 2022; 308:136172. [PMID: 36037949 DOI: 10.1016/j.chemosphere.2022.136172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 07/16/2022] [Accepted: 08/20/2022] [Indexed: 06/15/2023]
Abstract
Coupled solid carbon source biofilm carriers (CCBs) was usually utilized to enhance the treatment efficiency of low carbon/nitrogen (C/N) wastewater. However, current CCBs have low carbon release capacity because of its small inner mass transfer coefficient. Therefore, this study innovatively applied pore-forming methods to modify CCBs. After orthogonal selections, two porous CCBs, which were respectively prepared through circulating freezing pore-forming method (CCB2) and ammonium bicarbonate pore-forming method (CCB3), were proposed and further applied in sequencing batch moving bed biofilm reactors (SBMBBRs). The results indicated that circulating freezing pore-forming method could improve the mechanical strength and carbon source release rate of CCBs. In addition, CCB2 could significantly enhance the total nitrogen (TN) removal efficiency of SBMBBRs, when compared with the non-porous CCBs (i.e., CCB1). Further biofilm and simultaneous nitrification and denitrification (SND) rate calculation attributed this enhancement to the higher biofilm amount (i.e., 0.06 g g-1 CCB) and the higher SND rate (i.e., 33.60%). Microbial community analysis reiterated these observations that CCB2 and CCB3 could accumulate Proteobacteria, Actinobacteriota and Nitrospirota, and also stimulate nitrification and denitrification associated pathways. More importantly, the cost calculation indicated CCB2 cost only 47.37% of CCB1 and 31.34% of CCB3, showing highly economic applicability. Overall, our results collectively proved that CCBs manufactured by circulating freezing pore-forming method could provide more carbon releasing points and microorganisms attaching positions, exhibiting effectively nitrogen removal when treating low C/N wastewater.
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Affiliation(s)
- Linzhi Zou
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, PR China
| | - Mi Zhou
- The IT Electronics Eleventh Design & Research Institute Scientific and Technological Engineering Corporation Ltd, PR China
| | - Chuan Qin
- 3rd Construction Co., Ltd. of China Construction 5th Engineering Bureau, PR China
| | - Zhongwu Luo
- 3rd Construction Co., Ltd. of China Construction 5th Engineering Bureau, PR China
| | - Houlin Zhang
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, PR China
| | - Zhi Yang
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, PR China
| | - Hong Cheng
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, PR China.
| | - Runjia Li
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, PR China
| | - Qiang He
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, PR China
| | - Hainan Ai
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, PR China.
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Chen H, Tian Y, Hu Z, Wang C, Xie P, Chen L, Yang F, Liang Y, Mu C, Wei C, Ting YP, Qiu G, Song Y. Bis-(3′-5′)-cyclic dimeric guanosine monophosphate (c-di-GMP) mediated membrane fouling in membrane bioreactor. J Memb Sci 2022. [DOI: 10.1016/j.memsci.2021.120224] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Cayetano RDA, Kim GB, Park J, Yang YH, Jeon BH, Jang M, Kim SH. Biofilm formation as a method of improved treatment during anaerobic digestion of organic matter for biogas recovery. BIORESOURCE TECHNOLOGY 2022; 344:126309. [PMID: 34798247 DOI: 10.1016/j.biortech.2021.126309] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 11/01/2021] [Accepted: 11/06/2021] [Indexed: 06/13/2023]
Abstract
The efficiency of anaerobic digestion could be increased by promoting microbial retention through biofilm development. The inclusion of certain types of biofilm carriers has differentiated existing AD biofilm reactors through their respective mode of biofilm growth. Bacteria and archaea engaged in methanogenesis during anaerobic processes potentially build biofilms by adhering or attaching to biofilm carriers. Meta-analyzed results depicted varying degrees of biogas enhancement within AD biofilm reactors. Furthermore, different carrier materials highly induced the dynamicity of the dominant microbial population in each system. It is suggested that the promotion of surface contact and improvement of interspecies electron transport have greatly impacted the treatment results. Modern spectroscopy techniques have been and will continue to give essential information regarding biofilm's composition and structural organization which can be useful in elucidating the added function of this special layer of microbial cells.
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Affiliation(s)
- Roent Dune A Cayetano
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Gi-Beom Kim
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Jungsu Park
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Yung-Hun Yang
- Department of Biological Engineering, College of Engineering, Konkuk University, Seoul 05029, Republic of Korea
| | - Byong-Hun Jeon
- Department of Earth Resources and Environmental Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Min Jang
- Department of Environmental Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
| | - Sang-Hyoun Kim
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea.
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