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Zhu S, Tan Z, Guo Z, Zheng H, Zhang B, Qin Z, Xie J, Lin Y, Sheng B, Qiu G, Preis S, Wei C. Symbiotic virus-bacteria interactions in biological treatment of coking wastewater manipulating bacterial physiological activities. WATER RESEARCH 2024; 257:121741. [PMID: 38744061 DOI: 10.1016/j.watres.2024.121741] [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: 11/08/2023] [Revised: 04/11/2024] [Accepted: 05/04/2024] [Indexed: 05/16/2024]
Abstract
Biological treatment is commonly used in coking wastewater (CWW) treatment. Prokaryotic microbial communities in CWW treatment have been comprehensively studied. However, viruses, as the critical microorganisms affecting microbial processes and thus engineering parameters, still remain poorly understood in CWW treatment context. Employing viromics sequencing, the composition and function of the viral community in CWW treatment were discovered, revealing novel viral communities and key auxiliary metabolic functions. Caudovirales appeared to be the predominant viral order in the oxic-hydrolytic-oxic (OHO) CWW treatment combination, showing relative abundances of 62.47 %, 56.64 % and 92.20 % in bioreactors O1, H and O2, respectively. At the family level, Myoviridae, Podoviridae and Siphoviridae mainly prevailed in bioreactors O1 and H while Phycodnaviridae dominated in O2. A total of 56.23-92.24% of novel viral contigs defied family-level characterization in this distinct CWW habitat. The virus-host prediction results revealed most viruses infecting the specific functional taxa Pseudomonas, Acidovorax and Thauera in the entire OHO combination, demonstrating the viruses affecting bacterial physiology and pollutants removal from CWW. Viral auxiliary metabolic genes (AMGs) were screened, revealing their involvement in the metabolism of contaminants and toxicity tolerance. In the bioreactor O1, AMGs were enriched in detoxification and phosphorus ingestion, where glutathione S-transferase (GSTs) and beta-ketoadipyl CoA thiolase (fadA) participated in biodegradation of polycyclic aromatic hydrocarbons and phenols, respectively. In the bioreactors H and O2, the AMGs focused on cell division and epicyte formation of the hosts, where GDPmannose 4,6-dehydratase (gmd) related to lipopolysaccharides biosynthesis was considered to play an important role in the growth of nitrifiers. The diversities of viruses and AMGs decreased along the CWW treatment process, pointing to a reinforced virus-host adaptive strategy in stressful operation environments. In this study, the symbiotic virus-bacteria interaction patterns were proposed with a theoretical basis for promoting CWW biological treatment efficiency. The findings filled the gaps in the virus-bacteria interactions at the full-scale CWW treatment and provided great value for understanding the mechanism of biological toxicity and sludge activity in industrial wastewater treatment.
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Affiliation(s)
- Shuang Zhu
- School of Life Sciences and Biopharmaceutics, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou 510006, PR China.
| | - Zhijie Tan
- School of Life Sciences and Biopharmaceutics, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou 510006, PR China
| | - Ziyu Guo
- School of Life Sciences and Biopharmaceutics, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou 510006, PR China
| | - Huijian Zheng
- School of Life Sciences and Biopharmaceutics, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou 510006, PR China
| | - Baoshan Zhang
- School of Life Sciences and Biopharmaceutics, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou 510006, PR China
| | - Zhi Qin
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China
| | - Junting Xie
- School of Life Sciences and Biopharmaceutics, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou 510006, PR China
| | - Yuexia Lin
- School of Life Sciences and Biopharmaceutics, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou 510006, PR China
| | - Binbin Sheng
- School of Life Sciences and Biopharmaceutics, Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou 510006, PR China
| | - Guanglei Qiu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China
| | - Sergei Preis
- Department of Materials and Environmental Technology, Tallinn University of Technology, Tallinn 19086, Estonia
| | - Chaohai Wei
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China.
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Miller IR, Bui H, Wood JB, Fields MW, Gerlach R. Understanding phycosomal dynamics to improve industrial microalgae cultivation. Trends Biotechnol 2024; 42:680-698. [PMID: 38184438 DOI: 10.1016/j.tibtech.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/06/2023] [Accepted: 12/06/2023] [Indexed: 01/08/2024]
Abstract
Algal-bacterial interactions are ubiquitous in both natural and industrial systems, and the characterization of these interactions has been reinvigorated by potential applications in biosystem productivity. Different growth conditions can be used for operational functions, such as the use of low-quality water or high pH/alkalinity, and the altered operating conditions likely constrain microbial community structure and function in unique ways. However, research is necessary to better understand whether consortia can be designed to improve the productivity, processing, and sustainability of industrial-scale cultivations through different controls that can constrain microbial interactions for maximal light-driven outputs. The review highlights current knowledge and gaps for relevant operating conditions, as well as suggestions for near-term and longer-term improvements for large-scale cultivation and polyculture engineering.
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Affiliation(s)
- Isaac R Miller
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA; Center for Biofilm Engineering, Montana State University, Bozeman, MT, USA
| | - Huyen Bui
- Center for Biofilm Engineering, Montana State University, Bozeman, MT, USA
| | - Jessica B Wood
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA; Center for Biofilm Engineering, Montana State University, Bozeman, MT, USA
| | - Matthew W Fields
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA; Center for Biofilm Engineering, Montana State University, Bozeman, MT, USA; Department of Civil Engineering, Montana State University, Bozeman, MT, USA; Energy Research Institute, Montana State University, Bozeman, MT, USA.
| | - Robin Gerlach
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA; Center for Biofilm Engineering, Montana State University, Bozeman, MT, USA; Energy Research Institute, Montana State University, Bozeman, MT, USA; Department of Biological and Chemical Engineering, Bozeman, MT, USA
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Calhoun S, Kamel B, Bell TA, Kruse CP, Riley R, Singan V, Kunde Y, Gleasner CD, Chovatia M, Sandor L, Daum C, Treen D, Bowen BP, Louie KB, Northen TR, Starkenburg SR, Grigoriev IV. Multi-omics profiling of the cold tolerant Monoraphidium minutum 26B-AM in response to abiotic stress. ALGAL RES 2022. [DOI: 10.1016/j.algal.2022.102794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Biological-Based Produced Water Treatment Using Microalgae: Challenges and Efficiency. SUSTAINABILITY 2022. [DOI: 10.3390/su14010499] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Produced water (PW) is the most significant waste stream generated in the oil and gas industries. The generated PW has the potential to be a useful water source rather than waste. While a variety of technologies can be used for the treatment of PW for reuse, biological-based technologies are an effective and sustainable remediation method. Specifically, microalgae, which are a cost-effective and sustainable process that use nutrients to eliminate organic pollutants from PW during the bioremediation process. In these treatment processes, microalgae grow in PW free of charge, eliminate pollutants, and generate clean water that can be recycled and reused. This helps to reduce CO2 levels in the atmosphere while simultaneously producing biofuels, other useful chemicals, and added-value products. As such, this review focuses on PW generation in the oil and gas industry, PW characteristics, and examines the available technologies that can be used for PW remediation, with specific attention to algal-based technologies. In addition, the various aspects of algae growth and cultivation in PW, the effect of growth conditions, water quality parameters, and the corresponding treatment performance are presented. Lastly, this review emphasizes the bioremediation of PW using algae and highlights how to harvest algae that can be processed to generate biofuels for added-value products as a sustainable approach.
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Qi F, Jia Y, Mu R, Ma G, Guo Q, Meng Q, Yu G, Xie J. Convergent community structure of algal-bacterial consortia and its effects on advanced wastewater treatment and biomass production. Sci Rep 2021; 11:21118. [PMID: 34702904 PMCID: PMC8548336 DOI: 10.1038/s41598-021-00517-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 10/06/2021] [Indexed: 11/08/2022] Open
Abstract
Microalgal-bacterial consortium is an effective way to meet increasingly stringent standards in wastewater treatment. However, the mechanism of wastewater removal effect has not been properly explained in community structure by phycosphere. And little is known about that the concept of macroecology was introduced into phycosphere to explain the phenomenon. In the study, the algal-bacterial consortia with different ratios of algae and sludge were cultured in same aerobic wastewater within 48 h in photobioreactors (PSBRs). Community structure at start and end was texted by metagenomic analysis. Bray-Curtis similarities analysis based on microbial community showed that there was obvious convergent succession in all consortia, which is well known as "convergence" in macroecology. The result showed that Bray-Curtis similarities at End (overall above 0.88) were higher than these at Start (almost less than 0.66). In terms of community structure, the consortium with 5:1 ratio at Start are the more similar with the consortia at End by which the maximum removal of total dissolved nitrogen (TDN, 73.69%), total dissolved phosphorus (TDP, 94.40%) and NH3-N (93.26%) in wastewater treatment process and biomass production (98.2%) higher than other consortia, according with climax community in macroecology with the highest resource utilization than other communities. Therefore, the macroecology can be introduced into phycosphere to explain the consortium for advanced wastewater treatment and optimization community structure. And the study revealed a novel insight into treatment effect and community structure of algal-bacterial consortia for advanced wastewater treatment, a new idea for to shortening the culture time of consortium and optimize predicting their ecological community structure and predicting ecological community.
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Affiliation(s)
- Feng Qi
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Yantian Jia
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Ruimin Mu
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China.
| | - Guixia Ma
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Qingyang Guo
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Qianya Meng
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Gejiang Yu
- School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China
| | - Jun Xie
- Shandong Provincial Eco-Environment Monitoring Center, Jinan, China
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Hutchinson MI, Bell TAS, Gallegos-Graves LV, Dunbar J, Albright M. Merging Fungal and Bacterial Community Profiles via an Internal Control. MICROBIAL ECOLOGY 2021; 82:484-497. [PMID: 33410932 DOI: 10.1007/s00248-020-01638-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 11/03/2020] [Indexed: 06/12/2023]
Abstract
Integrated measurements of fungi and bacteria are critical to understand how interactions between these taxa drive key processes in ecosystems ranging from soils to animal guts. High-throughput amplicon sequencing is commonly used to census microbiomes, but the genetic markers targeted for fungi and bacteria (typically ribosomal regions) are domain-specific so profiling must be performed separately, obscuring relationships between these groups. To solve this problem, we developed a spike-in method with an internal control (IC) construct containing primer sites commonly used for bacterial and fungal taxonomic profiling. The internal control offers several advantages: estimation of absolute abundances, estimation of fungal to bacterial ratios (F:B), integration of bacterial and fungal profiles for holistic community analysis, and lower costs compared to other quantitation methods. To validate the IC as a scaling method, we compared IC-derived measures of F:B to measures from quantitative PCR (qPCR) using a commercial mock community (the ZymoBiomic Microbial Community DNA Standard II, containing two fungi and eight bacteria) and complex environmental samples. For both the mock community and the environmental samples, the IC produced F:B values that were statistically consistent with qPCR. Merging the environmental fungal and bacterial profiles based on the IC-derived F:B values revealed new relationships among samples in terms of community similarity. This IC method is the first spike-in method to employ a single construct for cross-domain amplicon sequencing, offering more reliable measurements.
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Affiliation(s)
- Miriam I Hutchinson
- Biosciences Division, Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM, 87545, USA
| | - Tisza A S Bell
- Biosciences Division, Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM, 87545, USA
- Division of Biological Sciences, University of Montana, Missoula, MT, USA
| | | | - John Dunbar
- Biosciences Division, Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM, 87545, USA
| | - Michaeline Albright
- Biosciences Division, Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM, 87545, USA.
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Calhoun S, Bell TAS, Dahlin LR, Kunde Y, LaButti K, Louie KB, Kuftin A, Treen D, Dilworth D, Mihaltcheva S, Daum C, Bowen BP, Northen TR, Guarnieri MT, Starkenburg SR, Grigoriev IV. A multi-omic characterization of temperature stress in a halotolerant Scenedesmus strain for algal biotechnology. Commun Biol 2021; 4:333. [PMID: 33712730 PMCID: PMC7955037 DOI: 10.1038/s42003-021-01859-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 02/16/2021] [Indexed: 01/31/2023] Open
Abstract
Microalgae efficiently convert sunlight into lipids and carbohydrates, offering bio-based alternatives for energy and chemical production. Improving algal productivity and robustness against abiotic stress requires a systems level characterization enabled by functional genomics. Here, we characterize a halotolerant microalga Scenedesmus sp. NREL 46B-D3 demonstrating peak growth near 25 °C that reaches 30 g/m2/day and the highest biomass accumulation capacity post cell division reported to date for a halotolerant strain. Functional genomics analysis revealed that genes involved in lipid production, ion channels and antiporters are expanded and expressed. Exposure to temperature stress shifts fatty acid metabolism and increases amino acids synthesis. Co-expression analysis shows that many fatty acid biosynthesis genes are overexpressed with specific transcription factors under cold stress. These and other genes involved in the metabolic and regulatory response to temperature stress can be further explored for strain improvement.
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Affiliation(s)
- Sara Calhoun
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Tisza Ann Szeremy Bell
- Applied Genomics Team, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA
- Division of Biological Sciences, Genome Core, University of Montana, Missoula, MT, USA
| | - Lukas R Dahlin
- National Bioenergy Center, National Renewable Energy Laboratory, Golden, CO, USA
| | - Yuliya Kunde
- Applied Genomics Team, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA
| | - Kurt LaButti
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Katherine B Louie
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Andrea Kuftin
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Daniel Treen
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - David Dilworth
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Sirma Mihaltcheva
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Christopher Daum
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Benjamin P Bowen
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Trent R Northen
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Michael T Guarnieri
- National Bioenergy Center, National Renewable Energy Laboratory, Golden, CO, USA
| | - Shawn R Starkenburg
- Applied Genomics Team, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA.
| | - Igor V Grigoriev
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
- Department of Plant and Microbial Biology, University of California Berkeley, Berkeley, CA, USA.
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