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Liu Y, Han M, Li F, Zhang N, Lu S, Liu X, Wu F. Performance and mechanism of SMX removal by an electrolysis-integrated ecological floating bed at low temperatures: A new perspective of plant activity, iron plaque, and microbial functions. JOURNAL OF HAZARDOUS MATERIALS 2024; 463:132802. [PMID: 37922584 DOI: 10.1016/j.jhazmat.2023.132802] [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: 06/16/2023] [Revised: 10/11/2023] [Accepted: 10/17/2023] [Indexed: 11/07/2023]
Abstract
Improvements in plant activity and functional microbial communities are important to ensure the stability and efficiency of pollutant removal measures in cold regions. Although electrochemistry is known to accelerate pollutant degradation, cold stress acclimation of plants and the stability and activity of plant-microbial synergism remain poorly understood. The sulfamethoxazole (SMX) removal, iron plaque morphology, plant activity, microbial community, and function responses were investigated in an electrolysis-integrated ecological floating bed (EFB) at 6 ± 2 ℃. Electrochemistry significantly improved SMX removal and plant activity. Dense and uniform iron plaque was found on root surfaces in L-E-Fe which improved the plant adaptability at low temperatures and provided more adsorption sites for bacteria. The microbial community structure was optimized and the key functional bacteria for SMX degradation (e.g., Actinobacteriota, Pseudomonas) were enriched. Electrochemistry improves the relative abundance of enzymes related to energy metabolism, thereby increasing energy responses to SMX and low temperatures. Notably, electrochemistry improved the expression of target genes (sadB and sadC, especially sadC) involved in SMX degradation. Electrochemistry enhances hydrogen bonding and electrostatic interactions between SMX and sadC, thereby enhancing SMX degradation and transformation. This study provides a deeper understanding of the electrochemical stability of antibiotic degradation at low temperatures.
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Affiliation(s)
- Ying Liu
- Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China; College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China; State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Maozhen Han
- School of Life Sciences, Anhui Medical University, Hefei 230032, China
| | - Fengmin Li
- Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China; College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China
| | - Na Zhang
- School of Life Sciences, Anhui Medical University, Hefei 230032, China
| | - Shaoyong Lu
- State Key Laboratory of Environmental Criteria and Risk Assessment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Xiaohui Liu
- Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China; College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China.
| | - Fengchang Wu
- State Key Laboratory of Environmental Criteria and Risk Assessment, National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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Rothman JA, Saghir A, Chung SA, Boyajian N, Dinh T, Kim J, Oval J, Sharavanan V, York C, Zimmer-Faust AG, Langlois K, Steele JA, Griffith JF, Whiteson KL. Longitudinal metatranscriptomic sequencing of Southern California wastewater representing 16 million people from August 2020-21 reveals widespread transcription of antibiotic resistance genes. WATER RESEARCH 2023; 229:119421. [PMID: 36455460 DOI: 10.1016/j.watres.2022.119421] [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: 08/10/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 06/17/2023]
Abstract
Municipal wastewater provides a representative sample of human fecal waste across a catchment area and contains a wide diversity of microbes. Sequencing wastewater samples provides information about human-associated and medically important microbial populations, and may be useful to assay disease prevalence and antimicrobial resistance (AMR). Here, we present a study in which we used untargeted metatranscriptomic sequencing on RNA extracted from 275 sewage influent samples obtained from eight wastewater treatment plants (WTPs) representing approximately 16 million people in Southern California between August 2020 - August 2021. We characterized bacterial and viral transcripts, assessed metabolic pathway activity, and identified over 2,000 AMR genes/variants across all samples. Because we did not deplete ribosomal RNA, we have a unique window into AMR carried as ribosomal mutants. We show that AMR diversity varied between WTPs (as measured through PERMANOVA, P < 0.001) and that the relative abundance of many individual AMR genes/variants increased over time (as measured with MaAsLin2, Padj < 0.05). Similarly, we detected transcripts mapping to human pathogenic bacteria and viruses suggesting RNA sequencing is a powerful tool for wastewater-based epidemiology and that there are geographical signatures to microbial transcription. We captured the transcription of gene pathways common to bacterial cell processes, including central carbon metabolism, nucleotide synthesis/salvage, and amino acid biosynthesis. We also posit that due to the ubiquity of many viruses and bacteria in wastewater, new biological targets for microbial water quality assessment can be developed. To the best of our knowledge, our study provides the most complete longitudinal metatranscriptomic analysis of a large population's wastewater to date and demonstrates our ability to monitor the presence and activity of microbes in complex samples. By sequencing RNA, we can track the relative abundance of expressed AMR genes/variants and metabolic pathways, increasing our understanding of AMR activity across large human populations and sewer sheds.
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Affiliation(s)
- Jason A Rothman
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America.
| | - Andrew Saghir
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America
| | - Seung-Ah Chung
- Genomics High-Throughput Facility, Department of Biological Chemistry, University of California, Irvine, Irvine, CA, United States of America
| | - Nicholas Boyajian
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America
| | - Thao Dinh
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America
| | - Jinwoo Kim
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America
| | - Jordan Oval
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America
| | - Vivek Sharavanan
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America
| | - Courtney York
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America
| | - Amity G Zimmer-Faust
- Southern California Coastal Water Research Project, Costa Mesa, CA, United States of America
| | - Kylie Langlois
- Southern California Coastal Water Research Project, Costa Mesa, CA, United States of America
| | - Joshua A Steele
- Southern California Coastal Water Research Project, Costa Mesa, CA, United States of America
| | - John F Griffith
- Southern California Coastal Water Research Project, Costa Mesa, CA, United States of America
| | - Katrine L Whiteson
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America.
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Rothman JA, Whiteson KL. Sequencing and Variant Detection of Eight Abundant Plant-Infecting Tobamoviruses across Southern California Wastewater. Microbiol Spectr 2022; 10:e0305022. [PMID: 36374107 PMCID: PMC9769696 DOI: 10.1128/spectrum.03050-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/24/2022] [Indexed: 11/16/2022] Open
Abstract
Tobamoviruses are agriculturally relevant viruses that cause crop losses and have infected plants in many regions of the world. These viruses are frequently found in municipal wastewater, likely coming from human diet and industrial waste across wastewater catchment areas. As part of a large wastewater-based epidemiology study across Southern California, we analyzed RNA sequence data from 275 influent wastewater samples obtained from eight wastewater treatment plants with a catchment area of approximately 16 million people from July 2020 to August 2021. We assembled 1,083 high-quality genomes, enumerated viral sequencing reads, and detected thousands of single nucleotide variants from eight common tobamoviruses: bell pepper mottle virus, cucumber green mottle mosaic virus, pepper mild mottle virus, tobacco mild green mosaic virus, tomato brown rugose fruit virus, tomato mosaic virus, tomato mottle mosaic virus, and tropical soda apple mosaic virus. We show that single nucleotide variants had amino acid-altering consequences along with synonymous mutations, which represents potential evolution with functional consequences in genomes of these viruses. Our study shows the importance of wastewater sequencing to monitor the genomic diversity of these plant-infecting viruses, and we suggest that our data could be used to continue tracking the genomic variability of such pathogens. IMPORTANCE Diseases caused by viruses in the genus Tobamovirus cause crop losses around the world. As with other viruses, mutation occurring in the virus's genomes can have functional consequences and may alter viral infectivity. Many of these plant-infecting viruses have been found in wastewater, likely coming from human consumption of infected plants and produce. By sequencing RNA extracted from influent wastewater obtained from eight wastewater treatment plants in Southern California, we assembled high-quality viral genomes and detected thousands of single nucleotide variants from eight tobamoviruses. Our study shows that Tobamovirus genomes vary at many positions, which may have important consequences when designing assays for the detection of these viruses by agricultural or environmental scientists.
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Affiliation(s)
- Jason A. Rothman
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, California, USA
| | - Katrine L. Whiteson
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, California, USA
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4
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Rothman JA, Saghir A, Chung SA, Boyajian N, Dinh T, Kim J, Oval J, Sharavanan V, York C, Zimmer-Faust AG, Langlois K, Steele JA, Griffith JF, Whiteson KL. Longitudinal metatranscriptomic sequencing of Southern California wastewater representing 16 million people from August 2020-21 reveals widespread transcription of antibiotic resistance genes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.08.02.502560. [PMID: 35982656 PMCID: PMC9387120 DOI: 10.1101/2022.08.02.502560] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Municipal wastewater provides a representative sample of human fecal waste across a catchment area and contains a wide diversity of microbes. Sequencing wastewater samples provides information about human-associated and medically-important microbial populations, and may be useful to assay disease prevalence and antimicrobial resistance (AMR). Here, we present a study in which we used untargeted metatranscriptomic sequencing on RNA extracted from 275 sewage influent samples obtained from eight wastewater treatment plants (WTPs) representing approximately 16 million people in Southern California between August 2020 - August 2021. We characterized bacterial and viral transcripts, assessed metabolic pathway activity, and identified over 2,000 AMR genes/variants across all samples. Because we did not deplete ribosomal RNA, we have a unique window into AMR carried as ribosomal mutants. We show that AMR diversity varied between WTPs and that the relative abundance of many individual AMR genes/variants increased over time and may be connected to antibiotic use during the COVID-19 pandemic. Similarly, we detected transcripts mapping to human pathogenic bacteria and viruses suggesting RNA sequencing is a powerful tool for wastewater-based epidemiology and that there are geographical signatures to microbial transcription. We captured the transcription of gene pathways common to bacterial cell processes, including central carbon metabolism, nucleotide synthesis/salvage, and amino acid biosynthesis. We also posit that due to the ubiquity of many viruses and bacteria in wastewater, new biological targets for microbial water quality assessment can be developed. To the best of our knowledge, our study provides the most complete longitudinal metatranscriptomic analysis of a large population's wastewater to date and demonstrates our ability to monitor the presence and activity of microbes in complex samples. By sequencing RNA, we can track the relative abundance of expressed AMR genes/variants and metabolic pathways, increasing our understanding of AMR activity across large human populations and sewer sheds.
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Affiliation(s)
- Jason A. Rothman
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
| | - Andrew Saghir
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
| | - Seung-Ah Chung
- Genomics High-Throughput Facility, Department of Biological Chemistry, University of California, Irvine, Irvine, CA, USA
| | - Nicholas Boyajian
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
| | - Thao Dinh
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
| | - Jinwoo Kim
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
| | - Jordan Oval
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
| | - Vivek Sharavanan
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
| | - Courtney York
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
| | | | - Kylie Langlois
- Southern California Coastal Water Research Project, Costa Mesa, CA, USA
| | - Joshua A. Steele
- Southern California Coastal Water Research Project, Costa Mesa, CA, USA
| | - John F. Griffith
- Southern California Coastal Water Research Project, Costa Mesa, CA, USA
| | - Katrine L. Whiteson
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
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