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Li F, Liu J, Maldonado-Gómez MX, Frese SA, Gänzle MG, Walter J. Highly accurate and sensitive absolute quantification of bacterial strains in human fecal samples. MICROBIOME 2024; 12:168. [PMID: 39244633 PMCID: PMC11380787 DOI: 10.1186/s40168-024-01881-2] [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: 01/26/2023] [Accepted: 07/26/2024] [Indexed: 09/09/2024]
Abstract
BACKGROUND Next-generation sequencing (NGS) approaches have revolutionized gut microbiome research and can provide strain-level resolution, but these techniques have limitations in that they are only semi-quantitative, suffer from high detection limits, and generate data that is compositional. The present study aimed to systematically compare quantitative PCR (qPCR) and droplet digital PCR (ddPCR) for the absolute quantification of Limosilactobacillus reuteri strains in human fecal samples and to develop an optimized protocol for the absolute quantification of bacterial strains in fecal samples. RESULTS Using strain-specific PCR primers for L. reuteri 17938, ddPCR showed slightly better reproducibility, but qPCR was almost as reproducible and showed comparable sensitivity (limit of detection [LOD] around 104 cells/g feces) and linearity (R2 > 0.98) when kit-based DNA isolation methods were used. qPCR further had a wider dynamic range and is cheaper and faster. Based on these findings, we conclude that qPCR has advantages over ddPCR for the absolute quantification of bacterial strains in fecal samples. We provide an optimized and easy-to-follow step-by-step protocol for the design of strain-specific qPCR assays, starting from primer design from genome sequences to the calibration of the PCR system. Validation of this protocol to design PCR assays for two L. reuteri strains, PB-W1 and DSM 20016 T, resulted in a highly accurate qPCR with a detection limit in spiked fecal samples of around 103 cells/g feces. Applying our strain-specific qPCR assays to fecal samples collected from human subjects who received live L. reuteri PB-W1 or DSM 20016 T during a human trial demonstrated a highly accurate quantification and sensitive detection of these two strains, with a much lower LOD and a broader dynamic range compared to NGS approaches (16S rRNA gene sequencing and whole metagenome sequencing). CONCLUSIONS Based on our analyses, we consider qPCR with kit-based DNA extraction approaches the best approach to accurately quantify gut bacteria at the strain level in fecal samples. The provided step-by-step protocol will allow scientists to design highly sensitive strain-specific PCR systems for the accurate quantification of bacterial strains of not only L. reuteri but also other bacterial taxa in a broad range of applications and sample types. Video Abstract.
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Affiliation(s)
- Fuyong Li
- Department of Animal Science and Technology, College of Animal Sciences, Zhejiang University, Hangzhou, 310058, China.
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
| | - Junhong Liu
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2E1, Canada
| | | | - Steven A Frese
- Department of Nutrition, University of Nevada, Reno, NV, 89557, USA
| | - Michael G Gänzle
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2E1, Canada
| | - Jens Walter
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
- Department of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
- School of Microbiology, Department of Medicine, and APC Microbiome Ireland, University College Cork, Cork, T12 YT20, Ireland.
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Momba MNB, Mogane B, Kachienga LO, Kamika I, Ngobeni-Nyambi R. Distribution of host-specific Bacteriodales marker genes in water sources of selected rural areas of Vhembe District, South Africa. Sci Rep 2024; 14:19758. [PMID: 39187527 PMCID: PMC11347707 DOI: 10.1038/s41598-024-68771-3] [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: 04/02/2024] [Accepted: 07/29/2024] [Indexed: 08/28/2024] Open
Abstract
Access to safe drinking water sources and appropriate sanitation facilities remains a dream in low and middle-income countries including South Africa. This study identified the origin of faecal pollution by using quantitative polymerase chain reaction (qPCR) targeting host-specific Bacteroidales genetic markers to track the distribution of human-specific (BacHum) and animal-specific (cattle-BacCow, chicken-Cytb, pig-Pig-2-Bac, dog-BacCan) markers in water sources used by rural communities of the Vhembe District Municipality (VDM). Results revealed the prevalence of BacHum, BacCow, and BacCan in all surface water sources in Thulamela Local Municipality (TLM) and Collins Chabane Local Municipality (CLM) during wet (100%) and dry seasons (50-75%). Cytb was not detected in untreated spring water in TLM and CLM, and Pig-2-Bac was not detected in untreated hand-dug well water in TLM during both seasons. Household-level analysis detected Cytb (28.8% wet, 17.5% dry), BacHum (34.4% wet, 25% dry for Pig-2-Bac) in stored untreated spring water in CLM, and Cytb (42.9% wet, 28.5% dry) in untreated hand-dug well water in TLM. Despite differences in detection frequencies of host-specific Bacteroidales, the study highlights the public health concern of faecal pollution in rural VDM households.
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Affiliation(s)
- Maggy Ndombo Benteke Momba
- Department of Environmental, Water and Earth Sciences, Arcadia Campus, Tshwane University of Technology, 175 Nelson Mandela Avenue, Arcadia, Pretoria, 0001, South Africa.
| | - Barbara Mogane
- Department of Environmental, Water and Earth Sciences, Arcadia Campus, Tshwane University of Technology, 175 Nelson Mandela Avenue, Arcadia, Pretoria, 0001, South Africa
| | - Leonard Owino Kachienga
- Department of Environmental, Water and Earth Sciences, Arcadia Campus, Tshwane University of Technology, 175 Nelson Mandela Avenue, Arcadia, Pretoria, 0001, South Africa
| | - Ilunga Kamika
- Department of Environmental Sciences, School of Environmental Science, College of Agriculture and Environmental Sciences, Faculty of Sciences, Florida Campus, University of South Africa, Florida, Roodepoort, 1710, South Africa
| | - Renay Ngobeni-Nyambi
- Department of Microbiology, Stellenbosch University, Private Bag, X1, Mitieland, 7602, South Africa
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Mirabile A, Sangiorgio G, Bonacci PG, Bivona D, Nicitra E, Bonomo C, Bongiorno D, Stefani S, Musso N. Advancing Pathogen Identification: The Role of Digital PCR in Enhancing Diagnostic Power in Different Settings. Diagnostics (Basel) 2024; 14:1598. [PMID: 39125474 PMCID: PMC11311727 DOI: 10.3390/diagnostics14151598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 07/19/2024] [Accepted: 07/20/2024] [Indexed: 08/12/2024] Open
Abstract
Digital polymerase chain reaction (dPCR) has emerged as a groundbreaking technology in molecular biology and diagnostics, offering exceptional precision and sensitivity in nucleic acid detection and quantification. This review highlights the core principles and transformative potential of dPCR, particularly in infectious disease diagnostics and environmental surveillance. Emphasizing its evolution from traditional PCR, dPCR provides accurate absolute quantification of target nucleic acids through advanced partitioning techniques. The review addresses the significant impact of dPCR in sepsis diagnosis and management, showcasing its superior sensitivity and specificity in early pathogen detection and identification of drug-resistant genes. Despite its advantages, challenges such as optimization of experimental conditions, standardization of data analysis workflows, and high costs are discussed. Furthermore, we compare various commercially available dPCR platforms, detailing their features and applications in clinical and research settings. Additionally, the review explores dPCR's role in water microbiology, particularly in wastewater surveillance and monitoring of waterborne pathogens, underscoring its importance in public health protection. In conclusion, future prospects of dPCR, including methodological optimization, integration with innovative technologies, and expansion into new sectors like metagenomics, are explored.
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Affiliation(s)
- Alessia Mirabile
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy; (A.M.); (G.S.); (P.G.B.); (D.B.); (E.N.); (C.B.); (S.S.); (N.M.)
| | - Giuseppe Sangiorgio
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy; (A.M.); (G.S.); (P.G.B.); (D.B.); (E.N.); (C.B.); (S.S.); (N.M.)
| | - Paolo Giuseppe Bonacci
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy; (A.M.); (G.S.); (P.G.B.); (D.B.); (E.N.); (C.B.); (S.S.); (N.M.)
| | - Dalida Bivona
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy; (A.M.); (G.S.); (P.G.B.); (D.B.); (E.N.); (C.B.); (S.S.); (N.M.)
| | - Emanuele Nicitra
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy; (A.M.); (G.S.); (P.G.B.); (D.B.); (E.N.); (C.B.); (S.S.); (N.M.)
| | - Carmelo Bonomo
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy; (A.M.); (G.S.); (P.G.B.); (D.B.); (E.N.); (C.B.); (S.S.); (N.M.)
| | - Dafne Bongiorno
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy; (A.M.); (G.S.); (P.G.B.); (D.B.); (E.N.); (C.B.); (S.S.); (N.M.)
| | - Stefania Stefani
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy; (A.M.); (G.S.); (P.G.B.); (D.B.); (E.N.); (C.B.); (S.S.); (N.M.)
- U.O.C. Laboratory Analysis Unit, University Hospital Policlinico-San Marco, Via Santa Sofia 78, 95123 Catania, Italy
| | - Nicolò Musso
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy; (A.M.); (G.S.); (P.G.B.); (D.B.); (E.N.); (C.B.); (S.S.); (N.M.)
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Saleem F, Li E, Tran KL, Rudra B, Edge TA, Schellhorn HE, Gupta RS. Utilizing novel Escherichia coli-specific conserved signature proteins for enhanced monitoring of recreational water quality. Microbiologyopen 2024; 13:e1410. [PMID: 38682792 PMCID: PMC11057252 DOI: 10.1002/mbo3.1410] [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: 01/29/2024] [Revised: 03/19/2024] [Accepted: 04/16/2024] [Indexed: 05/01/2024] Open
Abstract
Escherichia coli serves as a proxy indicator of fecal contamination in aquatic ecosystems. However, its identification using traditional culturing methods can take up to 24 h. The application of DNA markers, such as conserved signature proteins (CSPs) genes (unique to all species/strains of a specific taxon), can form the foundation for novel polymerase chain reaction (PCR) tests that unambiguously identify and detect targeted bacterial taxa of interest. This paper reports the identification of three new highly-conserved CSPs (genes), namely YahL, YdjO, and YjfZ, which are exclusive to E. coli/Shigella. Using PCR primers based on highly conserved regions within these CSPs, we have developed quantitative PCR (qPCR) assays for the evaluation of E. coli/Shigella species in water ecosystems. Both in-silico and experimental PCR testing confirmed the absence of sequence match when tested against other bacteria, thereby confirming 100% specificity of the tested CSPs for E. coli/Shigella. The qPCR assays for each of the three CSPs provided reliable quantification for all tested enterohaemorrhagic and environmental E. coli strains, a requirement for water testing. For recreational water samples, CSP-based quantification showed a high correlation (r > 7, p < 0.01) with conventional viable E. coli enumeration. This indicates that novel CSP-based qPCR assays for E. coli can serve as robust tools for monitoring water ecosystems and other critical areas, including food monitoring.
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Affiliation(s)
- Faizan Saleem
- Department of BiologyMcMaster UniversityHamiltonOntarioCanada
| | - Enze Li
- Department of BiologyMcMaster UniversityHamiltonOntarioCanada
| | - Kevin L. Tran
- Department of BiologyMcMaster UniversityHamiltonOntarioCanada
| | - Bashudev Rudra
- Department of Biochemistry and Biomedical SciencesMcMaster UniversityHamiltonOntarioCanada
| | - Thomas A. Edge
- Department of BiologyMcMaster UniversityHamiltonOntarioCanada
| | | | - Radhey S. Gupta
- Department of Biochemistry and Biomedical SciencesMcMaster UniversityHamiltonOntarioCanada
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5
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Zafeiriadou A, Kaltsis L, Thomaidis NS, Markou A. Simultaneous detection of influenza A, B and respiratory syncytial virus in wastewater samples by one-step multiplex RT-ddPCR assay. Hum Genomics 2024; 18:48. [PMID: 38769549 PMCID: PMC11103825 DOI: 10.1186/s40246-024-00614-8] [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: 12/29/2023] [Accepted: 05/01/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND After the occurrence of the COVID-19 pandemic, detection of other disseminated respiratory viruses using highly sensitive molecular methods was declared essential for monitoring the spread of health-threatening viruses in communities. The development of multiplex molecular assays are essential for the simultaneous detection of such viruses even at low concentrations. In the present study, a highly sensitive and specific multiplex one-step droplet digital PCR (RT-ddPCR) assay was developed for the simultaneous detection and absolute quantification of influenza A (IAV), influenza B (IBV), respiratory syncytial virus (RSV), and beta-2-microglobulin transcript as an endogenous internal control (IC B2M). RESULTS The assay was first evaluated for analytical sensitivity and specificity, linearity, reproducibility, and recovery rates with excellent performance characteristics and then applied to 37 wastewater samples previously evaluated with commercially available and in-house quantitative real-time reverse transcription PCR (RT-qPCR) assays. IAV was detected in 16/37 (43%), IBV in 19/37 (51%), and RSV in 10/37 (27%) of the wastewater samples. Direct comparison of the developed assay with real-time RT-qPCR assays showed statistically significant high agreement in the detection of IAV (kappa Cohen's correlation coefficient: 0.834, p = 0.001) and RSV (kappa: 0.773, p = 0.001) viruses between the two assays, while the results for the detection of IBV (kappa: 0.355, p = 0.27) showed good agreement without statistical significance. CONCLUSIONS Overall, the developed one-step multiplex ddPCR assay is cost-effective, highly sensitive and specific, and can simultaneously detect three common respiratory viruses in the complex matrix of wastewater samples even at low concentrations. Due to its high sensitivity and resistance to PCR inhibitors, the developed assay could be further used as an early warning system for wastewater monitoring.
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Affiliation(s)
- Anastasia Zafeiriadou
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771, ZografouAthens, Greece
| | - Lazaros Kaltsis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771, ZografouAthens, Greece
| | - Nikolaos S Thomaidis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771, ZografouAthens, Greece
| | - Athina Markou
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771, ZografouAthens, Greece.
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6
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Espira LM, Contreras JD, Felix-Arellano EE, Siebe C, Mazari-Hiriart M, Riojas-Rodríguez H, Eisenberg JNS. A comparative analysis of regional infection risk due to wastewater recontamination in the Mezquital Valley, Mexico. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 919:170615. [PMID: 38316303 DOI: 10.1016/j.scitotenv.2024.170615] [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: 09/02/2023] [Revised: 01/30/2024] [Accepted: 01/30/2024] [Indexed: 02/07/2024]
Abstract
Urban wastewater reuse for agriculture provides reliable nutrient-rich water, reduces water stress, and strengthens food systems. However, wastewater reuse also presents health risks and characterizing the spatial dynamics of wastewater can help optimize risk mitigation. We conducted comparative risk analysis of exposure to wastewater in irrigation canals, where we compared those exposed to a) treated vs. untreated wastewater, and b) wastewater upstream vs. downstream from communities in the Mezquital Valley. The canal system with treated wastewater was sampled prior to being treated, directly after treatment, as well as before and after it flowed through a community. Along the canal system that carried untreated wastewater, we sampled before and after a community. We quantified the concentrations of bacterial, protozoal, and viral pathogens in the wastewater. Pathogen concentration data were used to calculate measures of relative risk between sampling points. Wastewater treatment reduced predicted bacterial pathogen infection risk in post-treatment locations (RR = 0.73, 95 % CI 0.61, 0.87), with no evidence of similar reductions in Giardia or viral pathogens (RR = 1.02, 95 % CI 0.56, 1.86 and RR = 1.18, 95 % CI 0.70, 2.02 respectively). Although infection risk decreased further down the canals, infection risk increased for bacterial pathogens after our sentinel community (RR = 1.94, 95 % 1.34, 2.86). For Giardia and viral pathogens infection risk was elevated but not significantly. We found similar evidence for increases in risk when comparing the treated section of the canal system with a canal section whose wastewater was not treated, i.e., the risk benefits of wastewater treatment were lost after our sentinel community for bacteria (RR = 5.27 vs. 2.08 for sampling points before and after our sentinel community respectively) and for Giardia (RR = 6.98 vs. 3.35 respectively). The increase in risk after transit through communities could have resulted from local community recontamination of the treated wastewater stream.
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Affiliation(s)
- Leon M Espira
- Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, United States of America
| | - Jesse D Contreras
- Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, United States of America
| | - Eunice E Felix-Arellano
- Dirección de Salud Ambiental, Instituto Nacional de Salud Pública, Universidad No. 655 Colonia Santa María Ahuacatitlán, Cerrada Los Pinos y Caminera, 62100 Cuernavaca, Morelos, Mexico
| | - Christina Siebe
- Instituto de Geología, Universidad Nacional Autonóma de México, Circuito de la Investigación Científica s/n, Ciudad Universitaria, 04510 Ciudad de México, Mexico
| | - Marisa Mazari-Hiriart
- Laboratorio Nacional de Ciencias de la Sostenibilidad, Instituto de Ecología, Universidad Nacional Autónoma de Mexico, Circuito Exterior s/n. Anexo Jardín Botanico Exterior, Ciudad Universitaria, 04510 Ciudad de México, Mexico
| | - Horacio Riojas-Rodríguez
- Dirección de Salud Ambiental, Instituto Nacional de Salud Pública, Universidad No. 655 Colonia Santa María Ahuacatitlán, Cerrada Los Pinos y Caminera, 62100 Cuernavaca, Morelos, Mexico
| | - Joseph N S Eisenberg
- Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, United States of America.
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Cleveland MH, He HJ, Milavec M, Bae YK, Vallone PM, Huggett JF. Digital PCR for the characterization of reference materials. Mol Aspects Med 2024; 96:101256. [PMID: 38359699 DOI: 10.1016/j.mam.2024.101256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/31/2024] [Accepted: 02/07/2024] [Indexed: 02/17/2024]
Abstract
Well-characterized reference materials support harmonization and accuracy when conducting nucleic acid-based tests (such as qPCR); digital PCR (dPCR) can measure the absolute concentration of a specific nucleic acid sequence in a background of non-target sequences, making it ideal for the characterization of nucleic acid-based reference materials. National Metrology Institutes are increasingly using dPCR to characterize and certify their reference materials, as it offers several advantages over indirect methods, such as UV-spectroscopy. While dPCR is gaining widespread adoption, it requires optimization and has certain limitations and considerations that users should be aware of when characterizing reference materials. This review highlights the technical considerations of dPCR, as well as its role when developing and characterizing nucleic acid-based reference materials.
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Affiliation(s)
- Megan H Cleveland
- Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, 20899, USA.
| | - Hua-Jun He
- Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, 20899, USA
| | - Mojca Milavec
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna Pot 111, 1000, Ljubljana, Slovenia
| | - Young-Kyung Bae
- Korea Research Institute of Standards and Science (KRISS), Daejeon, Republic of Korea
| | - Peter M Vallone
- Material Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, 20899, USA
| | - Jim F Huggett
- National Measurement Laboratory (NML), LGC, Queens Road, Teddington, TW11 0LY, Middlesex, UK; School of Biosciences & Medicine, Faculty of Health & Medical Science, University of Surrey, Guildford, UK
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Hart JJ, Jamison MN, Porter AM, McNair JN, Szlag DC, Rediske RR. Fecal Impairment Framework, A New Conceptual Framework for Assessing Fecal Contamination in Recreational Waters. ENVIRONMENTAL MANAGEMENT 2024; 73:443-456. [PMID: 37658902 DOI: 10.1007/s00267-023-01878-x] [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: 12/20/2022] [Accepted: 08/24/2023] [Indexed: 09/05/2023]
Abstract
Fecal pollution of surface water is a pervasive problem that negatively affects waterbodies concerning both public health and ecological functions. Current assessment methods monitor fecal indicator bacteria (FIB) to identify pollution sources using culture-based quantification and microbial source tracking (MST). These types of information assist stakeholders in identifying likely sources of fecal pollution, prioritizing them for remediation, and choosing appropriate best management practices. While both culture-based quantification and MST are useful, they yield different kinds of information, potentially increasing uncertainty in prioritizing sources for management. This study presents a conceptual framework that takes separate human health risk estimates based on measured MST and E. coli concentrations as inputs and produces an estimate of the overall fecal impairment risk as its output. The proposed framework is intended to serve as a supplemental screening tool for existing monitoring programs to aid in identifying and prioritizing sites for remediation. In this study, we evaluated the framework by applying it to two primarily agricultural watersheds and several freshwater recreational beaches using existing routine monitoring data. Based on a combination of E. coli and MST results, the proposed fecal impairment framework identified four sites in the watersheds as candidates for remediation and identified temporal trends in the beach application. As these case studies demonstrate, the proposed fecal impairment framework is an easy-to-use and cost-effective supplemental screening tool that provides actionable information to managers using existing routine monitoring data, without requiring specialized expertize.
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Affiliation(s)
- John J Hart
- Robert B. Annis Water Resources Institute, 740 West Shoreline Dr, Muskegon, MI, 49441, USA.
| | - Megan N Jamison
- Department of Chemistry, Oakland University, 146 Library Dr., Rochester, MI, 48309, USA
- The Ohio State University, 281 W Lane Ave, Columbus, OH, 43210, USA
| | - Alexis M Porter
- Robert B. Annis Water Resources Institute, 740 West Shoreline Dr, Muskegon, MI, 49441, USA
| | - James N McNair
- Robert B. Annis Water Resources Institute, 740 West Shoreline Dr, Muskegon, MI, 49441, USA
| | - David C Szlag
- Department of Chemistry, Oakland University, 146 Library Dr., Rochester, MI, 48309, USA
| | - Richard R Rediske
- Robert B. Annis Water Resources Institute, 740 West Shoreline Dr, Muskegon, MI, 49441, USA
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Saleem F, Li E, Edge TA, Tran KL, Schellhorn HE. Identification of potential microbial risk factors associated with fecal indicator exceedances at recreational beaches. ENVIRONMENTAL MICROBIOME 2024; 19:4. [PMID: 38225663 PMCID: PMC10790499 DOI: 10.1186/s40793-024-00547-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/02/2024] [Indexed: 01/17/2024]
Abstract
BACKGROUND Fecal bacterial densities are proxy indicators of beach water quality, and beach posting decisions are made based on Beach Action Value (BAV) exceedances for a beach. However, these traditional beach monitoring methods do not reflect the full extent of microbial water quality changes associated with BAV exceedances at recreational beaches (including harmful cyanobacteria). This proof of concept study evaluates the potential of metagenomics for comprehensively assessing bacterial community changes associated with BAV exceedances compared to non-exceedances for two urban beaches and their adjacent river water sources. RESULTS Compared to non-exceedance samples, BAV exceedance samples exhibited higher alpha diversity (diversity within the sample) that could be further differentiated into separate clusters (Beta-diversity). For Beach A, Cyanobacterial sequences (resolved as Microcystis and Pseudanabaena at genus level) were significantly more abundant in BAV non-exceedance samples. qPCR validation supported the Cyanobacterial abundance results from metagenomic analysis and also identified saxitoxin genes in 50% of the non-exceedance samples. Microcystis sp and saxitoxin gene sequences were more abundant on non-exceedance beach days (when fecal indicator data indicated the beach should be open for water recreational purposes). For BAV exceedance days, Fibrobacteres, Pseudomonas, Acinetobacter, and Clostridium sequences were significantly more abundant (and positively correlated with fecal indicator densities) for Beach A. For Beach B, Spirochaetes (resolved as Leptospira on genus level) Burkholderia and Vibrio sequences were significantly more abundant in BAV exceedance samples. Similar bacterial diversity and abundance trends were observed for river water sources compared to their associated beaches. Antibiotic Resistance Genes (ARGs) were also consistently detected at both beaches. However, we did not observe a significant difference or correlation in ARGs abundance between BAV exceedance and non-exceedance samples. CONCLUSION This study provides a more comprehensive analysis of bacterial community changes associated with BAV exceedances for recreational freshwater beaches. While there were increases in bacterial diversity and some taxa of potential human health concern associated with increased fecal indicator densities and BAV exceedances (e.g. Pseudomonas), metagenomics analyses also identified other taxa of potential human health concern (e.g. Microcystis) associated with lower fecal indicator densities and BAV non-exceedances days. This study can help develop more targeted beach monitoring strategies and beach-specific risk management approaches.
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Affiliation(s)
- Faizan Saleem
- Department of Biology, McMaster University, 1280 Main St W., Hamilton, ON, L8S 4L8, Canada
| | - Enze Li
- Department of Biology, McMaster University, 1280 Main St W., Hamilton, ON, L8S 4L8, Canada
| | - Thomas A Edge
- Department of Biology, McMaster University, 1280 Main St W., Hamilton, ON, L8S 4L8, Canada
| | - Kevin L Tran
- Department of Biology, McMaster University, 1280 Main St W., Hamilton, ON, L8S 4L8, Canada
| | - Herb E Schellhorn
- Department of Biology, McMaster University, 1280 Main St W., Hamilton, ON, L8S 4L8, Canada.
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Tedim AP, Merino I, Ortega A, Domínguez-Gil M, Eiros JM, Bermejo-Martín JF. Quantification of bacterial DNA in blood using droplet digital PCR: a pilot study. Diagn Microbiol Infect Dis 2024; 108:116075. [PMID: 37837915 DOI: 10.1016/j.diagmicrobio.2023.116075] [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: 07/12/2023] [Revised: 08/16/2023] [Accepted: 08/28/2023] [Indexed: 10/16/2023]
Abstract
We used droplet digital PCR (ddPCR) assays to detect/quantify DNA from Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, and Enterococcus spp. in blood samples. Bacterial DNA from clinical strains (4 < n < 12) was extracted, quantified and diluted (10-0.0001 ng/µL) and ddPCR assays were performed in triplicate. These ddPCR assays showed low replication variability, low detection limit (1-0.1 pg/µL), and genus/species specificity. ddPCR assays were also used to quantify bacterial DNA obtained from spiked blood (1 × 104-1 CFU/mL) of each bacterial genus/species. Comparison between ddPCR assays and bacterial culture was performed by Pearson correlation. There was an almost perfect correlation (r ≥ 0.997, P ≤ 0.001) between the number of CFU/mL from bacterial culture and the number of gene copies/mL detected by ddPCR. The time from sample preparation to results was determined to be 3.5 to 4 hours. The results demonstrated the quantification capacity and specificity of the ddPCR assays to detect/quantify 4 of the most important bloodstream infection (BSI) bacterial pathogens directly from blood. SIGNIFICANCE AND IMPACT: This pilot study results support the potential of ddPCR for the diagnosis and/or severity stratification of BSI. Applied to patients' blood samples it can improve diagnosis and diminish sample-to-results time, improving patient care.
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Affiliation(s)
- Ana P Tedim
- Group for Biomedical Research in Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca, (IBSAL), Salamanca, Spain; Hospital Universitario Río Hortega, Valladolid, Spain; Centro de Investigación Biomédica en Red en Enfermedades Respiratorias (CiberES), CB22/06/00035, Instituto de Salud Carlos III, Madrid, Spain.
| | - Irene Merino
- Microbiology Department, Hospital Universitario Río Hortega, Valladolid, Spain
| | - Alicia Ortega
- Group for Biomedical Research in Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca, (IBSAL), Salamanca, Spain; Hospital Universitario Río Hortega, Valladolid, Spain; Centro de Investigación Biomédica en Red en Enfermedades Respiratorias (CiberES), CB22/06/00035, Instituto de Salud Carlos III, Madrid, Spain
| | - Marta Domínguez-Gil
- Microbiology Department, Hospital Universitario Río Hortega, Valladolid, Spain
| | - José Maria Eiros
- Microbiology Department, Hospital Universitario Río Hortega, Valladolid, Spain
| | - Jesús F Bermejo-Martín
- Group for Biomedical Research in Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca, (IBSAL), Salamanca, Spain; Hospital Universitario Río Hortega, Valladolid, Spain; Centro de Investigación Biomédica en Red en Enfermedades Respiratorias (CiberES), CB22/06/00035, Instituto de Salud Carlos III, Madrid, Spain
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11
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Ding J, Xu X, Deng Y, Zheng X, Zhang T. Comparison of RT-ddPCR and RT-qPCR platforms for SARS-CoV-2 detection: Implications for future outbreaks of infectious diseases. ENVIRONMENT INTERNATIONAL 2024; 183:108438. [PMID: 38232505 DOI: 10.1016/j.envint.2024.108438] [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: 10/31/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 01/19/2024]
Abstract
The increased frequency of human infectious disease outbreaks caused by RNA viruses worldwide in recent years calls for enhanced public health surveillance for better future preparedness. Wastewater-based epidemiology (WBE) is emerging as a valuable epidemiological tool for providing timely population-wide surveillance for disease prevention and response complementary to the current clinical surveillance system. Here, we compared the analytical performance and practical applications between predominant molecular detection methods of RT-qPCR and RT-ddPCR on SARS-CoV-2 detection in wastewater surveillance. When pure viral RNA was tested, RT-ddPCR exhibited superior quantification accuracy at higher concentration levels and achieved more sensitive detection with reduced variation at low concentration levels. Furthermore, RT-ddPCR consistently demonstrated more robust and accurate measurement either in the background of the wastewater matrix or with the presence of mismatches in the target regions of the consensus assay. Additionally, by detecting mock variant RNA samples, we found that RT-ddPCR outperformed RT-qPCR in virus genotyping by targeting specific loci with signature mutations in allele-specific (AS) assays, especially at low levels of allele frequencies and concentrations, which increased the possibility for sensitive low-prevalence variant detection in the population. Our study provides insights for detection method selection in the WBE applications for future infectious disease outbreaks.
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Affiliation(s)
- Jiahui Ding
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Xiaoqing Xu
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Yu Deng
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Xiawan Zheng
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong Special Administrative Region.
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12
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Ding J, Xu X, Deng Y, Zheng X, Zhang T. Circulation of SARS-CoV-2 Omicron sub-lineages revealed by multiplex genotyping RT-qPCR assays for sewage surveillance. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 904:166300. [PMID: 37591390 DOI: 10.1016/j.scitotenv.2023.166300] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/09/2023] [Accepted: 08/12/2023] [Indexed: 08/19/2023]
Abstract
Sewage surveillance has proven to be an essential complementary tool to clinical diagnosis in combating the COVID-19 pandemic by tracking the spread of the SARS-CoV-2 virus and evaluating infection levels in populations. With the striking spreading and continuous evolution of SARS-CoV-2 Omicron VOC that characterized with higher transmissibility and potential immune evasion, there is an urgent need for the rapid surveillance of this prevalent strain and its sub-lineages in sewage. In this study, based on three multiplex allele-specific (AS) RT-qPCR assays, we established a rapid and high-throughput detection workflow for the simultaneous discrimination of Omicron sub-lineages BA.2.2, BA.2.12.1, BA.4 and BA.5 (hereafter referred to as BA.4/BA.5) to track their community circulation in Hong Kong. All primer-probe sets in the multiplex assays could correctly discriminate and quantitate their target genotypes with high sensitivity and specificity, even when multiple variants co-existed in the sewage samples. Using the established multiplex assays, the trends of SARS-CoV-2 total viral load and variant dynamics in influent samples collected from 11 wastewater treatment plants (WWTPs) during June 2022 and September 2022, aligned with the clinical data, successfully unveiling the swift emergence and predominance of Omicron BA.4/BA.5 in Hong Kong. The study highlights the feasibility and applicability of multiplex RT-qPCR assays for monitoring epidemic trends and tracking variant displacement dynamics in sewage samples, providing a more rapid, high-throughput and cost-effective alternative to enhance the current sewage surveillance system.
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Affiliation(s)
- Jiahui Ding
- Environmental Microbiome Engineering and Biotechnology Lab, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Xiaoqing Xu
- Environmental Microbiome Engineering and Biotechnology Lab, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Yu Deng
- Environmental Microbiome Engineering and Biotechnology Lab, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Xiawan Zheng
- Environmental Microbiome Engineering and Biotechnology Lab, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Lab, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
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13
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Liu Z, Lin Y, Ge Y, Zhu Z, Yuan J, Yin Q, Liu B, He K, Hu M. Meta-analysis of microbial source tracking for the identification of fecal contamination in aquatic environments based on data-mining. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 345:118800. [PMID: 37591102 DOI: 10.1016/j.jenvman.2023.118800] [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: 06/08/2023] [Revised: 07/29/2023] [Accepted: 08/10/2023] [Indexed: 08/19/2023]
Abstract
Microbial source tracking (MST) technology represents an innovative approach employed to trace fecal contamination in environmental water systems. The performance of primers may be affected by amplification techniques, target primer categories, and regional differences. To investigate the influence of these factors on primer recognition performance, a meta-analysis was conducted on the application of MST in water environments using three databases: Web of Science, Scopus, and PubMed (n = 2291). After data screening, 46 studies were included in the final analysis. The investigation encompassed Polymerase Chain Reaction (PCR)/quantitative PCR (qPCR) methodologies, dye-based (SYBR)/probe-based (TaqMan) techniques, and geographical differences of a human host-specific (HF183) primer and other 21 additional primers. The results indicated that the primers analyzed were capable of differentiating host specificity to a certain degree. Nonetheless, by comparing sensitivity and specificity outcomes, it was observed that virus-based primers exhibited superior specificity and recognition capacity, as well as a stronger correlation with human pathogenicity in water environments compared to bacteria-based primers. This finding highlights an important direction for future advancements. Moreover, within the same category, qPCR did not demonstrate significant benefits over conventional PCR amplification methods. In comparing dye-based and probe-based techniques, it was revealed that the probe-based method's advantage lay primarily in specificity, which may be associated with the increased propensity of dye-based methods to produce false positives. Furthermore, the heterogeneity of the HF183 primer was not detected in China, Canada, and Singapore respectively, indicating a low likelihood of regional differences. The variation among the 21 other primers may be attributable to regional differences, sample sources, detection techniques, or alternative factors. Finally, we identified that economic factors, climatic conditions, and geographical distribution significantly influence primer performance.
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Affiliation(s)
- Zejun Liu
- School of Civil Engineering, Sun Yat-Sen University, Zhuhai, 519082, China; Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou, 510070, China
| | - Yingying Lin
- School of Civil Engineering, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Yanhong Ge
- Guangdong Infore Technology Co., Ltd, Foshan, 528322, China
| | - Ziyue Zhu
- School of Civil Engineering, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Jinlong Yuan
- School of Civil Engineering, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Qidong Yin
- School of Civil Engineering, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Bingjun Liu
- School of Civil Engineering, Sun Yat-Sen University, Zhuhai, 519082, China
| | - Kai He
- School of Civil Engineering, Sun Yat-Sen University, Zhuhai, 519082, China.
| | - Maochuan Hu
- School of Civil Engineering, Sun Yat-Sen University, Zhuhai, 519082, China; Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou, 510070, China.
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14
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Sajeer Paramabth M, Varma M. Demystifying PCR tests, challenges, alternatives, and future: A quick review focusing on COVID and fungal infections. BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION : A BIMONTHLY PUBLICATION OF THE INTERNATIONAL UNION OF BIOCHEMISTRY AND MOLECULAR BIOLOGY 2023; 51:719-728. [PMID: 37485773 DOI: 10.1002/bmb.21771] [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: 08/20/2022] [Revised: 06/20/2023] [Accepted: 07/12/2023] [Indexed: 07/25/2023]
Abstract
The polymerase chain reaction (PCR) technique is one of the most potent tools in molecular biology. It is extensively used for various applications ranging from medical diagnostics to forensic science and food quality testing. This technique has facilitated to survive COVID-19 pandemic by identifying the virus-infected individuals effortlessly and effectively. This review explores the principles, recent advancements, challenges, and alternatives of PCR technique in the context of COVID-19 and fungal infections. The introduction of PCR technique for anyone new to this field is the primary aim of this review and thereby equips them to understand the science of COVID-19 and related fungal infections in a simplistic manner.
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Affiliation(s)
| | - Manoj Varma
- Center for Nano Science and Engineering (CeNSE), Indian Institute of Science, Bangalore, India
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15
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Espira LM, Gessese B, Kassa BA, Wu CC, Riley J, Bedru S, Sahilu G, Desta A, Baye K, Jones AD, Love NG, Eisenberg JNS. Multiscalar Evaluation of the Water Distribution System and Diarrheal Disease Risk in Addis Ababa, Ethiopia. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:13313-13324. [PMID: 37642551 PMCID: PMC10501120 DOI: 10.1021/acs.est.2c08976] [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: 11/29/2022] [Revised: 07/22/2023] [Accepted: 07/24/2023] [Indexed: 08/31/2023]
Abstract
Despite growing urbanization, our understanding of the impacts of water and sanitation on human health has largely come from studies in rural sectors. To this end, we collected data at both regional (water quality measures from water treatment systems) and community (cross-sectional surveys) scales to examine determinants of enteric pathogen infection and diarrheal disease among infants in Addis Ababa, Ethiopia. Regionally, the Legedadi water treatment plant had significantly lower heterotrophic plate counts, total coliform counts, and fecal coliform counts compared with the Gefersa water treatment plant. The number of pathogen types in infant stool also differed by plant. Decreases in chlorine levels and increases in the relative abundance of Gammaproteobacteria with distance from treatment plants suggest a compromised water distribution system. In communities, infants in households that obtained water from yard pipes or public taps had significantly lower odds of diarrhea compared to households that had water piped into their dwellings (OR = 0.35, 95% CI 0.16, 0.76, and OR = 0.39, 95% CI 0.15, 1.00, respectively). Similarly, infants in households that boiled or filtered water had significantly lower odds of diarrhea compared to households that did not treat water (OR = 0.40, 95% CI 0.19, 0.86 and OR = 0.23, 95% CI 0.06, 0.84, respectively). Integrating multiscalar data better informs the health impacts of water in urban settings.
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Affiliation(s)
- Leon M. Espira
- Department
of Epidemiology, University of Michigan
School of Public Health, Ann Arbor, Michigan 48109, United States
| | - Brook Gessese
- Ethiopian
Institute of Water Resources, Addis Ababa
University, Addis
Ababa 150461, Ethiopia
| | - Bayable A. Kassa
- Institute
of Biotechnology, Addis Ababa University, Addis Ababa 1176, Ethiopia
| | - Chia-Chen Wu
- Institute
of Environmental Engineering, National Yang
Ming Chiao Tung University, Hsinchu City 30010, Taiwan
| | - Joshua Riley
- Department
of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Seifedin Bedru
- School of
Civil and Environmental Engineering, Addis
Ababa University, Addis Ababa 1176, Ethiopia
| | - Geremew Sahilu
- School of
Civil and Environmental Engineering, Addis
Ababa University, Addis Ababa 1176, Ethiopia
| | - Adey Desta
- Department
of Microbial and Cellular Biology, Addis
Ababa University, Addis Ababa 1176, Ethiopia
| | - Kaleab Baye
- Center
for
Food Science and Nutrition, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa 1176, Ethiopia
| | - Andrew D. Jones
- Department
of Nutritional Sciences, University of Michigan
School of Public Health, Ann Arbor, Michigan 48109, United States
| | - Nancy G. Love
- Department
of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Joseph N. S. Eisenberg
- Department
of Epidemiology, University of Michigan
School of Public Health, Ann Arbor, Michigan 48109, United States
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16
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Zhu K, Hill C, Muirhead A, Basu M, Brown J, Brinton MA, Hayat MJ, Venegas-Vargas C, Reis MG, Casanovas-Massana A, Meschke JS, Ko AI, Costa F, Stauber CE. Zika virus RNA persistence and recovery in water and wastewater: An approach for Zika virus surveillance in resource-constrained settings. WATER RESEARCH 2023; 241:120116. [PMID: 37270953 PMCID: PMC10330535 DOI: 10.1016/j.watres.2023.120116] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 05/14/2023] [Accepted: 05/22/2023] [Indexed: 06/06/2023]
Abstract
During the 2015-2016 Zika virus (ZIKV) epidemic in the Americas, serological cross-reactivity with other flaviviruses and relatively high costs of nucleic acid testing in the region hindered the capacity for widespread diagnostic testing. In such cases where individual testing is not feasible, wastewater monitoring approaches may offer a means of community-level public health surveillance. To inform such approaches, we characterized the persistence and recovery of ZIKV RNA in experiments where we spiked cultured ZIKV into surface water, wastewater, and a combination of both to examine the potential for detection in open sewers serving communities most affected by the ZIKV outbreak, such as those in Salvador, Bahia, Brazil. We used reverse transcription droplet digital PCR to quantify ZIKV RNA. In our persistence experiments, we found that the persistence of ZIKV RNA decreased with increasing temperature, significantly decreased in surface water versus wastewater, and significantly decreased when the initial concentration of virus was lowered by one order of magnitude. In our recovery experiments, we found higher percent recovery of ZIKV RNA in pellets versus supernatants from the same sample, higher recoveries in pellets using skimmed milk flocculation, lower recoveries of ZIKV RNA in surface water versus wastewater, and lower recoveries from a freeze thaw. We also analyzed samples collected from Salvador, Brazil during the ZIKV outbreak (2015-2016) that consisted of archived samples obtained from open sewers or environmental waters thought to be contaminated by sewage. Although we did not detect any ZIKV RNA in the archived Brazil samples, results from these persistence and recovery experiments serve to inform future wastewater monitoring efforts in open sewers, an understudied and important application of wastewater monitoring.
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Affiliation(s)
- Kevin Zhu
- Department of Civil and Environmental Engineering, College of Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Cailee Hill
- Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA 30303, USA
| | - Aaron Muirhead
- Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA 30303, USA
| | - Mausumi Basu
- Department of Biology, College of Arts and Sciences, Georgia State University, Atlanta, GA 303034, USA
| | - Joe Brown
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Margo A Brinton
- Department of Biology, College of Arts and Sciences, Georgia State University, Atlanta, GA 303034, USA
| | - Matthew J Hayat
- Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA 30303, USA
| | - Cristina Venegas-Vargas
- Department of Large Animal Clinical Sciences, College Veterinary Medicine, Michigan State University, East Lansing, MI 48824, USA
| | - Mitermayer G Reis
- Centro de Pesquisas Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Rua Waldemar Falcão, 121, Salvador Bahia, Brazil; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06511, USA
| | - Arnau Casanovas-Massana
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06511, USA
| | - J Scott Meschke
- Department of Environmental and Occupational Health, School of Public Health, University of Washington, Seattle, WA, USA
| | - Albert I Ko
- Centro de Pesquisas Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Rua Waldemar Falcão, 121, Salvador Bahia, Brazil; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06511, USA
| | - Federico Costa
- Centro de Pesquisas Gonçalo Moniz, Fundação Oswaldo Cruz, Ministério da Saúde, Rua Waldemar Falcão, 121, Salvador Bahia, Brazil; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06511, USA; Institute of Collective Health, Federal University of Bahia, Canela, Salvador 40110-040, Brazil
| | - Christine E Stauber
- Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA 30303, USA.
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17
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Lukacova E, Burjanivova T, Podlesniy P, Grendar M, Turyova E, Kasubova I, Laca L, Mikolajcik P, Kudelova E, Vanochova A, Miklusica J, Mersakova S, Lasabova Z. Hypermethylated GRIA4, a potential biomarker for an early non-invasive detection of metastasis of clinically known colorectal cancer. Front Oncol 2023; 13:1205791. [PMID: 37476382 PMCID: PMC10354553 DOI: 10.3389/fonc.2023.1205791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/12/2023] [Indexed: 07/22/2023] Open
Abstract
Introduction Colorectal cancer (CRC) can develop through several dysregulated molecular pathways, including the serrated pathway, characterized by CpG island methylator (CIMP) phenotype. Although the tumor tissue is a commonly tested material, sample types such as stool or plasma, bring a new, non-invasive approach. Several cancer-related methylated genes have been identified in CRC patients, including gene GRIA4, showing promising diagnostic potential. The aim of our study was to develop a sensitive droplet digital PCR (ddPCR) assay to examine GRIA4 hypermethylation status in CRC patients and evaluate its diagnostic potential in tissue and liquid biopsy samples. Methods In total, 23 patients participated in this study, 7 patients with primary CRC and 16 patients with liver metastasis of clinically known CRC. We obtained tumor and non-tumor tissues (N=17), blood samples pre- and post-surgery (N=22), and blood of five volunteers without a personal cancer history. We have developed and optimized a ddPCR assay for GRIA4 hypermethylation detection, from tissue and plasma samples. Results We detected significantly increased GRIA4 methylation in tumor tissues compared to their adjacent non-tumor tissue, p<0.0001. Receiver operating characteristic (ROC) analysis defined cutoff values to separate primary tumors and metastases from non-tumor colon/rectum, specifically 36.85% for primary tumors and 34.81% for metastases. All primary tumors were above this threshold. When comparing the methylation levels of metastatic vs. non-tumor tissue, a smaller increase was observed in liver metastasis versus colon tissue (3.6× gain; p=0.001), then in liver metastasis versus adjacent liver tissue (17.4× gain; p<0.0001). On average, GRIA4 hypermethylation in primary tumor plasma was 2.8-fold higher (p=0.39), and in metastatic plasma, 16.4-fold higher (p=0.0011) compared to healthy individuals. Hypermethylation in metastatic plasma was on average 5.9 times higher (p=0.051) than in primary tumor plasma. After tumor removal surgery, average hypermethylation decrease in plasma was 1.6× for primary (p=0.037) and 4.5× for metastatic patients (p=0.023). Discussion Based on our data, it can be inferred that GRIA4 serves as a tissue specific biomarker for the colon/rectum tissue, thus is suitable for cancer classification. This biomarker showed the potential to be an attractive target for early non-invasive detection of metastases of clinically known CRC, although additional analysis has to be performed.
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Affiliation(s)
- Eva Lukacova
- Department of Molecular Biology and Genomics, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia
| | - Tatiana Burjanivova
- Department of Molecular Biology and Genomics, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia
| | - Petar Podlesniy
- Centro Investigacion Biomedica en Red Enfermedades Neurodegenerativas (CiberNed), Madrid, Spain
| | - Marian Grendar
- Laboratory of Bioinformatics and Biostatistics, Biomedical Center Martin JFM CU, Commenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia
| | - Eva Turyova
- Department of Molecular Biology and Genomics, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia
| | - Ivana Kasubova
- Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Ludovit Laca
- Clinic of Surgery and Transplant Center, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Peter Mikolajcik
- Clinic of Surgery and Transplant Center, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Eva Kudelova
- Clinic of Surgery and Transplant Center, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Andrea Vanochova
- Department of Molecular Biology and Genomics, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia
| | - Juraj Miklusica
- Clinic of Surgery and Transplant Center, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Sandra Mersakova
- Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Zora Lasabova
- Department of Molecular Biology and Genomics, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin (JFM CU), Martin, Slovakia
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18
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Tyre KN, Brewton RA, Kreiger LB, Lapointe BE. Widespread human waste pollution in surface waters observed throughout the urbanized, coastal communities of Lee County, Florida, USA. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 879:162716. [PMID: 36921859 DOI: 10.1016/j.scitotenv.2023.162716] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 03/03/2023] [Accepted: 03/04/2023] [Indexed: 05/17/2023]
Abstract
The coastal communities of Lee County, Florida, USA have grown rapidly since the 1970s. In this county, drainage ditches, canals, creeks, and the Caloosahatchee River Estuary often have high concentrations of nutrients and bacteria limiting their designated uses. Septic systems have previously been identified as a major pollution source in some areas of Lee County; therefore, this study sought to identify the extent of this issue throughout the county. To accomplish this, surface water samples were collected at 25 ditch, creek, or canal sites suspected of human waste contamination from septic systems in various drainage basins throughout Lee County during January 2020-January 2021. Water samples were analyzed for nutrients, dual stable nitrate isotopes (δ15N-NO3-, δ18O-NO3-), fecal indicator bacteria (enterococci, Escherichia coli), a molecular tracer of human waste (HF183), and chemical tracers of human waste (the artificial sweetener sucralose, pharmaceuticals). Particulate organic matter (POM) and macrophytes were also collected and analyzed for stable carbon (δ13C) and nitrogen (δ15N) isotopes, as well as elemental composition (C:N:P). To broaden the assessment of stable isotope values and C:N:P, archived macrophyte samples from 2019 were also included in analyses. Ammonium concentrations were high (> 4.3 μM) in 55 % of samples. Fecal bacteria were high in 66 % of samples. HF183 was detected in 50 % of samples and positively correlated with enterococci (r = 0.32). Sucralose concentrations were high (> 380 ng/L) in 54 % of samples, while carbamazepine was detected in 40 % of samples. Human waste N sources were indicated by δ15N > 3.00 ‰ at 44 % of sites by δ15N-NO3-, 68 % of sites by POM, and at 100 % of sites where macrophyte samples were collected. This large-scale study provides evidence of widespread human waste pollution throughout Lee County and can help guide infrastructure improvements to promote sustainable development. These findings should be applicable to urbanized regions globally that are experiencing declines in water quality and harmful algal blooms due to development with inadequate infrastructure.
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Affiliation(s)
- Kevin N Tyre
- Harbor Branch Oceanographic Institute, Florida Atlantic University, 5600 N US Highway 1, Fort Pierce, FL 34946, United States of America; Geosyntec Consultants, 3504 Lake Lynda Dr., Suite 155, Orlando, FL 32817, United States of America
| | - Rachel A Brewton
- Harbor Branch Oceanographic Institute, Florida Atlantic University, 5600 N US Highway 1, Fort Pierce, FL 34946, United States of America.
| | - Lisa B Kreiger
- Lee County Department of Natural Resources, 1500 Monroe Street, Fort Myers, FL 33901, United States of America
| | - Brian E Lapointe
- Harbor Branch Oceanographic Institute, Florida Atlantic University, 5600 N US Highway 1, Fort Pierce, FL 34946, United States of America
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19
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Hart JJ, Jamison MN, McNair JN, Woznicki SA, Jordan B, Rediske RR. Using watershed characteristics to enhance fecal source identification. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 336:117642. [PMID: 36907065 DOI: 10.1016/j.jenvman.2023.117642] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 11/17/2022] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
Fecal pollution is one of the most prevalent forms of pollution affecting waterbodies worldwide, threatening public health and negatively impacting aquatic environments. Microbial source tracking (MST) applies polymerase chain reaction (PCR) technology to help identify the source of fecal pollution. In this study, we combine spatial data for two watersheds with general and host-associated MST markers to target human (HF183/BacR287), bovine (CowM2), and general ruminant (Rum2Bac) sources. Concentrations of MST markers in samples were determined with droplet digital PCR (ddPCR). The three MST markers were detected at all sites (n = 25), but bovine and general ruminant markers were significantly associated with watershed characteristics. MST results, combined with watershed characteristics, suggest that streams draining areas with low-infiltration soil groups and high agricultural land use are at an increased risk for fecal contamination. Microbial source tracking has been applied in numerous studies to aid in identifying the sources of fecal contamination, but these studies usually lack information on the involvement of watershed characteristics. Our study combined watershed characteristics with MST results to provide more comprehensive insight into the factors that influence fecal contamination in order to implement the most effective best management practices.
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Affiliation(s)
- John J Hart
- Robert B. Annis Water Resources Institute, 740 West Shoreline Dr, Muskegon, MI, 49441, USA.
| | - Megan N Jamison
- Oakland University, Department of Chemistry, 146 Library Dr., Rochester, MI, 48309, USA.
| | - James N McNair
- Robert B. Annis Water Resources Institute, 740 West Shoreline Dr, Muskegon, MI, 49441, USA.
| | - Sean A Woznicki
- Oakland University, Department of Chemistry, 146 Library Dr., Rochester, MI, 48309, USA.
| | - Ben Jordan
- Ottawa Conservation District, 16731 Ferris St, Grand Haven, MI, 49417, USA.
| | - Richard R Rediske
- Robert B. Annis Water Resources Institute, 740 West Shoreline Dr, Muskegon, MI, 49441, USA.
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20
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Yang J, Xu H, Ke Z, Kan N, Zheng E, Qiu Y, Huang M. Absolute quantification of viable Vibrio cholerae in seawater samples using multiplex droplet digital PCR combined with propidium monoazide. Front Microbiol 2023; 14:1149981. [PMID: 37362935 PMCID: PMC10288211 DOI: 10.3389/fmicb.2023.1149981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 05/25/2023] [Indexed: 06/28/2023] Open
Abstract
Introduction Toxigenic Vibrio cholerae serogroup O1 and O139 are the pathogens responsible for the global cholera epidemic. V. cholerae can settle in the water and spread via the fecal-oral route. Rapid and accurate monitoring of live V. cholerae in environmental water has become an important strategy to prevent and control cholera transmission. Conventional plate counting is widely used to detect viable bacteria but requires time and effort. Methods This study aims to develop a new assay that combines triplex droplet digital PCR (ddPCR) with propidium monoazide (PMA) treatment for quantitatively detecting live V. cholerae O1/O139 and cholera enterotoxin. Specific primers and probes were designed according to the conserved regions of gene rfb O1, rfb O139, and ctxA. The amplification procedures and PMA treatment conditions were optimized. The specificity, sensitivity, and ability of PMA-ddPCR to detect viable bacteria-derived DNA were evaluated in simulated seawater samples. Results and Discussion The results revealed that the optimal primer concentrations of rfb O1, rfb O139, and ctxA were 1 μM, while the concentrations of the three probes were 0.25, 0.25, and 0.4 μM, respectively. The best annealing temperature was 58°C to obtain the most accurate results. The optimal strategy for distinguishing dead and live bacteria from PMA treatment was incubation at the concentration of 20 μM for 15 min, followed by exposure to a 650-W halogen lamp for 20 min. In pure culture solutions, the limit of detection (LODs) of V. cholerae O1 and O139, and ctxA were 127.91, 120.23 CFU/mL, and 1.5 copies/reaction in PMA-triplex ddPCR, respectively, while the LODs of the three targets were 150.66, 147.57 CFU/mL, and 2 copies/reaction in seawater samples. The PMA-ddPCR sensitivity was about 10 times higher than that of PMA-qPCR. When detecting spiked seawater samples with live bacterial concentrations of 1.53 × 102 and 1.53 × 105 CFU/mL, the assay presented a higher sensitivity (100%, 16/16) than qPCR (50.00%, 8/16) and a perfect specificity (100%, 9/9). These results indicate that the developed PMA-triplex ddPCR is superior to the qPCR regarding sensitivity and specificity and can be used to rapidly detect viable toxigenic V. cholerae O1 and O139 in suspicious seawater samples.
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Affiliation(s)
- Jinsong Yang
- Fujian Center for Disease Control and Prevention, Fuzhou, China
- Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou, China
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Haibin Xu
- Fujian Center for Disease Control and Prevention, Fuzhou, China
| | - Zili Ke
- Fujian Center for Disease Control and Prevention, Fuzhou, China
| | - Naipeng Kan
- Fujian Center for Disease Control and Prevention, Fuzhou, China
| | - Enhui Zheng
- Fujian Center for Disease Control and Prevention, Fuzhou, China
| | - Yufeng Qiu
- Fujian Center for Disease Control and Prevention, Fuzhou, China
| | - Mengying Huang
- Fujian Center for Disease Control and Prevention, Fuzhou, China
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21
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Andrianjakarivony FH, Bettarel Y, Desnues C. Searching for a Reliable Viral Indicator of Faecal Pollution in Aquatic Environments. J Microbiol 2023:10.1007/s12275-023-00052-6. [PMID: 37261715 DOI: 10.1007/s12275-023-00052-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 04/13/2023] [Accepted: 04/25/2023] [Indexed: 06/02/2023]
Abstract
The disposal of sewage in significant quantities poses a health hazard to aquatic ecosystems. These effluents can contain a wide range of pathogens, making faecal contamination a leading source of waterborne diseases around the world. Yet monitoring bacteria or viruses in aquatic environments is time consuming and expensive. The standard indicators of faecal pollution all have limitations, including difficulty in determining the source due to lack of host specificity, poor connection with the presence of non-bacterial pathogens, or low environmental persistence. Innovative monitoring techniques are sorely needed to provide more accurate and targeted solutions. Viruses are a promising alternative to faecal indicator bacteria for monitoring, as they are more persistent in ambient water, more abundant in faeces, and are extremely host-specific. Given the range of viruses found in diverse contexts, it is not easy to find one "ideal" viral indicator of faecal pollution; however, several are of interest. In parallel, the ongoing development of molecular techniques coupled with metagenomics and bioinformatics should enable improved ways to detect faecal contamination using viruses. This review examines the evolution of faecal contamination monitoring with the following aims (i) to identify the characteristics of the main viral indicators of faecal contamination, including human enteric viruses, bacteriophages, CRESS and plant viruses, (ii) to assess how these have been used to monitor water pollution in recent years, (iii) to evaluate the reliability of recent detection methods of such viruses, and (iv) to tentatively determine which viruses may be most effective as markers of faecal pollution.
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Affiliation(s)
- Felana Harilanto Andrianjakarivony
- Microbes, Evolution, Phylogeny, and Infection (MEФI), IHU - Méditerranée Infection, 13005, Marseille, France
- Microbiologie Environnementale Biotechnologie (MEB), Mediterranean Institute of Oceanography (MIO), 13009, Marseille, France
| | - Yvan Bettarel
- MARBEC, Marine Biodiversity, Exploitation and Conservation, University of Montpellier, CNRS, Ifremer, IRD, 34090, Montpellier, France.
| | - Christelle Desnues
- Microbes, Evolution, Phylogeny, and Infection (MEФI), IHU - Méditerranée Infection, 13005, Marseille, France
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22
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Liu X, Wang X, Zhang H, Yan Z, Gaňová M, Lednický T, Řezníček T, Xu Y, Zeng W, Korabečná M, Neužil P. Smartphone integrated handheld (SPEED) digital polymerase chain reaction device. Biosens Bioelectron 2023; 232:115319. [PMID: 37087984 DOI: 10.1016/j.bios.2023.115319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/06/2023] [Accepted: 04/12/2023] [Indexed: 04/25/2023]
Abstract
We demonstrate a smartphone integrated handheld (SPEED) digital polymerase chain reaction (dPCR) device for point-of-care application. The device has dimensions of ≈100 × 200 × 35 mm3 and a weight of ≈400 g. It can perform 45 PCR cycles in ≈49 min. The device also features integrated, miniaturized modules for thermal cycling, image taking, and wireless data communication. These functions are controlled by self-developed Android-based applications. The only consumable is the developed silicon-based dPCR chip, which has the potential to be recycled. The device's precision and accuracy are comparable with commercial dPCR machines. We have verified the SPEED dPCR prototype's utility in the testing of severe acute respiratory syndrome coronavirus 2, the detection of cancer-associated gene sequences, and the confirmations of Down syndrome diagnoses. Due to its low upfront capital investment, as well as its nominal running cost, we envision that the SPEED dPCR device will help to perform cancer screenings and non-invasive prenatal tests for the general population. It will also aid in the timely identification and monitoring of infectious disease testing, thereby expediting alerts with respect to potential emerging pandemics.
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Affiliation(s)
- Xiaocheng Liu
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, PR China
| | - Xinlu Wang
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, PR China
| | - Haoqing Zhang
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, PR China; Ministry of Education Key Laboratory of Biomedical Information Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, PR China
| | - Zhiqiang Yan
- School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, PR China
| | - Martina Gaňová
- Central European Institute of Technology, Brno University of Technology, Purkyňova 123, 61300, Brno, Czech Republic; Faculty of Electrical Engineering, Brno University of Technology, Technická 3058/10, 61600, Brno, Czech Republic
| | - Tomáš Lednický
- Central European Institute of Technology, Brno University of Technology, Purkyňova 123, 61300, Brno, Czech Republic
| | - Tomáš Řezníček
- ITD Tech s.r.o, Osvoboditelu 1005, 735 81, Bohumín, Czech Republic
| | - Ying Xu
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, PR China
| | - Wen Zeng
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, PR China
| | - Marie Korabečná
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University and General University Hospital of Prague, Albertov 4, 12800, Prague, Czech Republic
| | - Pavel Neužil
- Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, Shaanxi, 710072, PR China; Faculty of Electrical Engineering, Brno University of Technology, Technická 3058/10, 61600, Brno, Czech Republic.
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23
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Espira LM, Lee GO, Baye K, Jones AD, Love NG, Eisenberg JNS. Stool biomarkers as measures of enteric pathogen infection in infants from Addis Ababa informal settlements. PLoS Negl Trop Dis 2023; 17:e0011112. [PMID: 36809375 PMCID: PMC9983878 DOI: 10.1371/journal.pntd.0011112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 03/03/2023] [Accepted: 01/19/2023] [Indexed: 02/23/2023] Open
Abstract
Frequent enteric infections in children may be an important cause of growth faltering; however, we do not fully understand the mechanisms by which pathogen infections and the physiological responses to these infections result in poorer growth. Commonly used protein fecal biomarkers (anti-alpha trypsin, neopterin, and myeloperoxidase) provide broad immunological information on an inflammatory response; however, they do not provide information on non-immune processes (e.g., gut integrity) that may be important indicators of chronic end states such as environmental enteric dysfunction (EED). To explore how additional biomarkers will better inform which physiological pathways (both immune and non-immune) are impacted by pathogen exposure we added to the traditional panel of 3 protein fecal biomarkers 4 novel fecal mRNA transcript biomarkers (sucrase isomaltase, caudal homeobox 1, S100A8, and mucin 12) and analyzed stool samples from infants living in informal settlements in Addis Ababa, Ethiopia. To test how this expanded biomarker panel captures distinct pathogen exposure processes we used two different scoring systems. First, we used a theory-based approach to assign each biomarker to specific physiological attributes based on prior understanding of each biomarker. Second, we used data reduction methods to categorize biomarkers and then assign physiological attributes to those categories. We used linear models to examine the association between the derived biomarker scores (based on mRNA and protein levels) and stool pathogen gene counts to determine pathogen specific effects on gut physiology and immune responses. Inflammation scores were positively associated with Shigella and enteropathogenic E.Coli (EPEC) infection, while gut integrity scores were negatively associated with Shigella, EPEC and, shigatoxigenic E.coli (STEC) infection. Our expanded panel of biomarkers hold promise as tools to measure systemic outcomes of enteric pathogen infection. mRNA biomarkers complement established protein biomarkers by providing important cell-specific physiological and immunological consequences of pathogen carriage that can lead to chronic end states such as EED.
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Affiliation(s)
- Leon M. Espira
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Gwenyth O. Lee
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- Rutgers Global Health Institute & Department of Biostatistics and Epidemiology School of Public Health Rutgers, The State University of New Jersey, New Brunswick, New Jersey, United States of America
| | - Kaleab Baye
- Center for Food Science and Nutrition, College of Natural and Computational Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Andrew D. Jones
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
| | - Nancy G. Love
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Joseph N. S. Eisenberg
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, United States of America
- * E-mail:
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24
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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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25
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Li Y, Ma M, Xu X, Li Q, Ji C. Value of digital PCR in the early diagnosis of sepsis: A systematic review and meta-analysis. J Crit Care 2022; 72:154138. [PMID: 36084378 DOI: 10.1016/j.jcrc.2022.154138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/11/2022] [Accepted: 08/11/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND We systematically assessed whether a digital polymerase chain reaction (PCR) could detect pathogenic microorganisms in patients with sepsis early and accurately. METHODS We searched the Cochrane Library, MEDLINE, Embase, CNKI, CBM, and Wanfang Data databases for eligible studies to compare the detection of pathogenic microorganisms in blood samples by digital PCR with the gold standard. The Quality Assessment of Diagnostic Accuracy Studies 2 was used to evaluate bias risk, and a random-effects meta-analysis approach was used for sensitivity and specificity calculations. RESULTS Among the eight articles, there were eight identified studies with a total of 1278 subjects. The pooled sensitivity of digital PCR was 94% (95% confidence interval [CI], 85%-98%), the specificity was 87% (95% CI, 76%-94%), the positive likelihood ratio was 7.3 (95% CI, 3.8-14.2), the negative likelihood ratio was 0.07 (95% CI, 0.03-0.17), the positive predictive value was 84.7%, the negative predictive value was 89.2%, the diagnostic odds ratio was 105 (95% CI, 37-303), and the area under the receiver operating characteristic curve was 0.97 (95% CI, 0.95-1.00). Digital PCR can shorten the detection time of pathogenic microorganisms in patients with sepsis. CONCLUSIONS Digital PCR can detect pathogenic microorganisms in patients with sepsis earlier than blood culture. Therefore, digital PCR can be used as a potential strategy for the detection of pathogenic microorganisms in patients with sepsis.
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Affiliation(s)
- Yu Li
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Minjun Ma
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiujuan Xu
- Critical Care Department, Tongde Hospital of Zhejiang Province, Hangzhou, China.
| | - Qiushuang Li
- Clinical Evaluation Center, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Conghua Ji
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China; Clinical Evaluation Center, the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
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26
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Ahmed W, Smith WJM, Metcalfe S, Jackson G, Choi PM, Morrison M, Field D, Gyawali P, Bivins A, Bibby K, Simpson SL. Comparison of RT-qPCR and RT-dPCR Platforms for the Trace Detection of SARS-CoV-2 RNA in Wastewater. ACS ES&T WATER 2022; 2:1871-1880. [PMID: 36380768 PMCID: PMC8848507 DOI: 10.1021/acsestwater.1c00387] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
We compared reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and RT digital PCR (RT-dPCR) platforms for the trace detection of SARS-CoV-2 RNA in low-prevalence COVID-19 locations in Queensland, Australia, using CDC N1 and CDC N2 assays. The assay limit of detection (ALOD), PCR inhibition rates, and performance characteristics of each assay, along with the positivity rates with the RT-qPCR and RT-dPCR platforms, were evaluated by seeding known concentrations of exogenous SARS-CoV-2 in wastewater. The ALODs using RT-dPCR were approximately 2-5 times lower than those using RT-qPCR. During sample processing, the endogenous (n = 96) and exogenous (n = 24) SARS-CoV-2 wastewater samples were separated, and RNA was extracted from both wastewater eluates and pellets (solids). The RT-dPCR platform demonstrated a detection rate significantly greater than that of RT-qPCR for the CDC N1 and CDC N2 assays in the eluate (N1, p = 0.0029; N2, p = 0.0003) and pellet (N1, p = 0.0015; N2, p = 0.0067) samples. The positivity results also indicated that for the analysis of SARS-CoV-2 RNA in wastewater, including the eluate and pellet samples may further increase the detection sensitivity using RT-dPCR.
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Affiliation(s)
- Warish Ahmed
- CSIRO
Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia
| | - Wendy J. M. Smith
- CSIRO
Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia
| | - Suzanne Metcalfe
- CSIRO
Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia
| | - Greg Jackson
- Water
Unit, Health Protection Branch, Prevention Division, Queensland Health, Brisbane, QLD 4001, Australia
| | - Phil M. Choi
- Water
Unit, Health Protection Branch, Prevention Division, Queensland Health, Brisbane, QLD 4001, Australia
| | - Mary Morrison
- Water
Unit, Health Protection Branch, Prevention Division, Queensland Health, Brisbane, QLD 4001, Australia
| | - Daniel Field
- Water
Unit, Health Protection Branch, Prevention Division, Queensland Health, Brisbane, QLD 4001, Australia
| | - Pradip Gyawali
- Institute
of Environmental Science and Research Ltd. (ESR), Porirua 5240, New Zealand
| | - Aaron Bivins
- Department
of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, Indiana 46556, United States
| | - Kyle Bibby
- Department
of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, Indiana 46556, United States
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27
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Gao M, Yu A, Chen M, Qiu T, Guo Y, Sun X, Wang X. Airborne fungi and human exposure in different areas of composting facilities. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 243:113991. [PMID: 36007318 DOI: 10.1016/j.ecoenv.2022.113991] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/23/2022] [Accepted: 08/16/2022] [Indexed: 06/15/2023]
Abstract
Airborne fungi can pose serious health concerns in humans; however, the area-specific abundance and composition of airborne fungal microbiota discharged from composting facilities remain unclear. In the present study, we collected air samples from composting, packaging, office, and downwind areas of four commercial composting facilities. The characteristics of airborne fungi, including pathogen/allergen-containing genera, and their corresponding human exposure in different areas of composting facilities were analyzed using high-throughput sequencing and ddPCR. High fungal concentrations and richness were detected in the air of the packaging area. In all four areas, Ascomycota, Basidiomycota, and Mucoromycota were observed to be the primary fungal phyla, with Cladosporium, Alternaria, and Aspergillus as the consistently dominant fungal genera. A large number of endemic airborne fungi were found in the composting and packaging areas, which also shared the most common airborne fungi as well as pathogen/allergen-containing genera. The packaging area contributed substantially to airborne fungi in the office and downwind areas. Area-specific human exposure to broad airborne fungal compositions was revealed, especially regarding the pathogen/allergen-containing genera. Current results provide valuable data for a comprehensive understanding of area-specific airborne fungi in composting facilities and highlight the importance of assessing the inhaled exposure to airborne fungi in evaluating their following health risks.
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Affiliation(s)
- Min Gao
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Aoyuan Yu
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; College of Forestry, Northeast Forestry University, Harbin 150040, China
| | - Mo Chen
- Center Environmental Protection Technology Co., Ltd., Beijing 101102, China
| | - Tianlei Qiu
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Yajie Guo
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Xingbin Sun
- College of Forestry, Northeast Forestry University, Harbin 150040, China.
| | - Xuming Wang
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
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28
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Christenson E, Wickersham L, Jacob M, Stewart J. A watershed study assessing effects of commercial hog operations on microbial water quality in North Carolina, USA. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:156085. [PMID: 35605858 DOI: 10.1016/j.scitotenv.2022.156085] [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: 03/12/2022] [Revised: 05/10/2022] [Accepted: 05/16/2022] [Indexed: 05/31/2023]
Abstract
Commercial Hog Operations (CHOs) produce large amounts of fecal waste, which is often treated in lagoons and sprayed onto fields as fertilizer. The effects of these systems on proximal water quality compared to ambient conditions have not been well-studied, and are particularly important for understanding the dissemination of fecal bacteria and antimicrobial resistance. A longitudinal, case-control watershed study was designed to study effects of CHOs on microbial water quality among watersheds with similar soil, land use, human population, and area. We compared watersheds with (n = 13) and without (n = 9) CHOs over one year measuring fecal indicator bacteria (FIB), microbial source tracking (MST) fecal markers, and antimicrobial resistance in isolated Escherichia coli. E. coli concentrations were higher (p < 0.001) at sites downstream of CHOs (1284 CFU/100 mL, n = 103) compared to background sites (687 CFU/100 mL, n = 74). The human MST marker HF183 was detected at similarly low concentrations (PR = 1.3 (0.91, 1.8), p = 0.30). However, the swine MST marker pig-2-bac was found at more sites downstream of CHOs (PR = 3.5 (0.98, 12), p = 0.035) and at a significantly higher (p = 0.003) mean concentration at sites downstream of CHOs (283 copies/mL) compared to background sites (0.76 copies/mL). The presence of any antimicrobial resistance was observed more often for E. coli isolated downstream from CHOs (19%, n = 556) than background sites (6%, n = 356), with tetracycline resistance observed most often. Nine isolates from four sites downstream of CHOs and one isolate from a background site were confirmed β-lactamase-producing E. coli. Overall, these results show that fecal microbes and antimicrobial resistance from CHOs may be transported off-site, however more research is needed to characterize timing and conditions of off-site transport. Mitigation strategies such as optimizeation of waste treatment, buffers, and antibiotic stewardship could help reduce the contributions of microbial contaminants to surface water.
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Affiliation(s)
- Elizabeth Christenson
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, NC, USA.
| | - Lindsay Wickersham
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, NC, USA
| | - Megan Jacob
- Population Health & Pathobiology, North Carolina State University, Raleigh, NC, USA
| | - Jill Stewart
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, NC, USA
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29
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Ginn O, Lowry S, Brown J. A systematic review of enteric pathogens and antibiotic resistance genes in outdoor urban aerosols. ENVIRONMENTAL RESEARCH 2022; 212:113097. [PMID: 35339466 DOI: 10.1016/j.envres.2022.113097] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 02/10/2022] [Accepted: 03/06/2022] [Indexed: 06/14/2023]
Abstract
Aerosol transport of enteric microbiota including fecal pathogens and antimicrobial resistance genes (ARGs) has been documented in a range of settings but remains poorly understood outside indoor environments. We conducted a systematic review of the peer-reviewed literature to summarize evidence on specific enteric microbiota including enteric pathogens and ARGs that have been measured in aerosol samples in urban settings where the risks of outdoor exposure and antibiotic resistance (AR) spread may be highest. Following PRISMA guidelines, we conducted a key word search for articles published within the years 1990-2020 using relevant data sources. Two authors independently conducted the keyword searches of databases and conducted primary and secondary screenings before merging results. To be included, studies contained extractable data on enteric microbes and AR in outdoor aerosols regardless of source confirmation and reported on qualitative, quantitative, or viability data on enteric microbes or AR. Qualitative analyses and metric summaries revealed that enteric microbes and AR have been consistently reported in outdoor aerosols, generally via relative abundance measures, though gaps remain preventing full understanding of the role of the aeromicrobiological pathway in the fate and transport of enteric associated outdoor aerosols. We identified remaining gaps in the evidence base including a need for broad characterization of enteric pathogens in bioaerosols beyond bacterial genera, a need for greater sampling in locations of high enteric disease risk, and a need for quantitative estimation of microbial and nucleic acid densities that may be applied to fate and transport models and in quantitative microbial risk assessment.
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Affiliation(s)
- Olivia Ginn
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, Notre Dame, IN, 46556, USA.
| | - Sarah Lowry
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, United States
| | - Joe Brown
- Deparment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27599, United States.
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30
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Viveros ML, Azimi S, Pichon E, Roose-Amsaleg C, Bize A, Durandet F, Rocher V. Wild type and variants of SARS-COV-2 in Parisian sewage: presence in raw water and through processes in wastewater treatment plants. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:67442-67449. [PMID: 36029443 PMCID: PMC9418656 DOI: 10.1007/s11356-022-22665-x] [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: 09/29/2021] [Accepted: 08/18/2022] [Indexed: 05/30/2023]
Abstract
The presence of SARS-CoV-2 RNA has been extensively reported at the influent of wastewater treatment plants (WWTPs) worldwide, and its monitoring has been proposed as a potential surveillance tool to early alert of epidemic outbreaks. However, the fate of the SARS-CoV-2 RNA in the treatment process of WWTP has not been widely studied yet; therefore, in this study, we aimed to evaluate the efficiency of treatment processes in reducing SARS-CoV-2 RNA levels in wastewater. The treatment process of three WWTPs of the Parisian area in France was monitored on six different weeks over a period of 2 months (from April 14 to June 9, 2021). SARS-CoV-2 RNA copies were detected using digital polymerase chain reaction (dPCR). Investigation on the presence of variants of concern (Del69-70, E484K, and L452R) was also performed. Additionally, SARS-CoV-2 RNA loads in the WWTPs influents were expressed as the viral concentration in per population equivalent (PE) and showed a good correlation with French public health indicators (incidence rate). SARS-CoV-2 RNA loads were notably reduced along the water treatment lines of the three WWTPs studied (2.5-3.4 log reduction). Finally, very low SARS-CoV-2 RNA loads were detected in effluents (non-detected in over half of the samples) which indicated that the potential risk of the release of wastewater effluents to the environment is probably insignificant, in the case of WWTPs enabling an efficient biological removal of nitrogen.
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Affiliation(s)
| | - Sam Azimi
- SIAAP - Direction Innovation, 82 avenue Kléber, 92700, Colombes, France
| | - Elodie Pichon
- GEOBIOMICS, 335 rue Louis Lépine, 34000, Montpellier, France
| | | | - Ariane Bize
- PRocédés biOtechnologiques Au Service de L'Environnement, INRAE Université Paris-Saclay, INRAE, 92761, Antony, France
| | | | - Vincent Rocher
- SIAAP - Direction Innovation, 82 avenue Kléber, 92700, Colombes, France
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31
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Tiwari A, Ahmed W, Oikarinen S, Sherchan SP, Heikinheimo A, Jiang G, Simpson SL, Greaves J, Bivins A. Application of digital PCR for public health-related water quality monitoring. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 837:155663. [PMID: 35523326 DOI: 10.1016/j.scitotenv.2022.155663] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/28/2022] [Accepted: 04/29/2022] [Indexed: 05/25/2023]
Abstract
Digital polymerase chain reaction (dPCR) is emerging as a reliable platform for quantifying microorganisms in the field of water microbiology. This paper reviews the fundamental principles of dPCR and its application for health-related water microbiology. The relevant literature indicates increasing adoption of dPCR for measuring fecal indicator bacteria, microbial source tracking marker genes, and pathogens in various aquatic environments. The adoption of dPCR has accelerated recently due to increasing use for wastewater surveillance of Severe Acute Respiratory Coronavirus 2 (SARS-CoV-2) - the virus that causes Coronavirus Disease 2019 (COVID-19). The collective experience in the scientific literature indicates that well-optimized dPCR assays can quantify genetic material from microorganisms without the need for a calibration curve and often with superior analytical performance (i.e., greater sensitivity, precision, and reproducibility) than quantitative polymerase chain reaction (qPCR). Nonetheless, dPCR should not be viewed as a panacea for the fundamental uncertainties and limitations associated with measuring microorganisms in water microbiology. With dPCR platforms, the sample analysis cost and processing time are typically greater than qPCR. However, if improved analytical performance (i.e., sensitivity and accuracy) is critical, dPCR can be an alternative option for quantifying microorganisms, including pathogens, in aquatic environments.
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Affiliation(s)
- Ananda Tiwari
- Department of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Finland
| | - Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, Queensland, Australia
| | - Sami Oikarinen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Samendra P Sherchan
- Department of Environmental Health Sciences, Tulane University, New Orleans, LA, USA; Department of Biology, Morgan State University, Baltimore, MD 21251, USA; BioEnvironmental Science Program, Department of Biology, Morgan State University, Baltimore, MD 21251, USA
| | - Annamari Heikinheimo
- Department of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Finland; Finnish Food Authority, Seinäjoki, Finland
| | - Guangming Jiang
- School of Civil, Mining and Environmental Engineering, University of Wollongong, Australia; Illawarra Health and Medical Research Institute (IHMRI), University of Wollongong, Wollongong, Australia
| | | | - Justin Greaves
- School of Environmental Sustainability, Loyola University Chicago, 6364 N. Sheridan Rd, Chicago, IL 60660, USA
| | - Aaron Bivins
- Department of Civil & Environmental Engineering, Louisiana State University, LA, USA.
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32
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Lou EG, Sapoval N, McCall C, Bauhs L, Carlson-Stadler R, Kalvapalle P, Lai Y, Palmer K, Penn R, Rich W, Wolken M, Brown P, Ensor KB, Hopkins L, Treangen TJ, Stadler LB. Direct comparison of RT-ddPCR and targeted amplicon sequencing for SARS-CoV-2 mutation monitoring in wastewater. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022. [PMID: 35395314 DOI: 10.2139/ssrn.4022373] [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] [Indexed: 05/09/2023]
Abstract
Over the course of the COVID-19 pandemic, variants of SARS-CoV-2 have emerged that are more contagious and more likely to cause breakthrough infections. Targeted amplicon sequencing approach is a gold standard for identification and analysis of variants. However, when applied to environmental samples such as wastewater, it remains unclear how sensitive this method is for detecting variant-associated mutations in environmental samples. Here we directly compare a targeted amplicon sequencing approach (using ARTIC v3; hereafter referred to as sequencing) with RT-ddPCR quantification for the detection of five mutations that are characteristic of variants of concern (VoCs) in wastewater samples. In total, 547 wastewater samples were analyzed using both methods in parallel. When we observed positive mutation detections by RT-ddPCR, 42.6% of the detection events were missed by sequencing, due to negative detection or the limited read coverage at the mutation position. Further, when sequencing reported negative or depth-limited mutation detections, 26.7% of those events were instead positive detections by RT-ddPCR, highlighting the relatively poor sensitivity of sequencing. No or weak associations were observed between quantitative measurements of target mutations determined by RT-ddPCR and sequencing. These findings caution the use of quantitative measurements of SARS-CoV-2 variants in wastewater samples determined solely based on sequencing.
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Affiliation(s)
- Esther G Lou
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Nicolae Sapoval
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, United States of America
| | - Camille McCall
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Lauren Bauhs
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Russell Carlson-Stadler
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Prashant Kalvapalle
- Systems, Synthetic, and Physical Biology Graduate Program, Rice University, 6100 Main Street, Houston, TX 77005, United States of America
| | - Yanlai Lai
- Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America
| | - Kyle Palmer
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Ryker Penn
- Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America
| | - Whitney Rich
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Madeline Wolken
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Pamela Brown
- Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America
| | - Katherine B Ensor
- Department of Statistics, Rice University, 6100 Main Street MS 138, Houston, TX 77005, United States of America
| | - Loren Hopkins
- Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America; Department of Statistics, Rice University, 6100 Main Street MS 138, Houston, TX 77005, United States of America
| | - Todd J Treangen
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, United States of America
| | - Lauren B Stadler
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
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33
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Lou EG, Sapoval N, McCall C, Bauhs L, Carlson-Stadler R, Kalvapalle P, Lai Y, Palmer K, Penn R, Rich W, Wolken M, Brown P, Ensor KB, Hopkins L, Treangen TJ, Stadler LB. Direct comparison of RT-ddPCR and targeted amplicon sequencing for SARS-CoV-2 mutation monitoring in wastewater. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 833:155059. [PMID: 35395314 PMCID: PMC8983075 DOI: 10.1016/j.scitotenv.2022.155059] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/31/2022] [Accepted: 04/01/2022] [Indexed: 05/14/2023]
Abstract
Over the course of the COVID-19 pandemic, variants of SARS-CoV-2 have emerged that are more contagious and more likely to cause breakthrough infections. Targeted amplicon sequencing approach is a gold standard for identification and analysis of variants. However, when applied to environmental samples such as wastewater, it remains unclear how sensitive this method is for detecting variant-associated mutations in environmental samples. Here we directly compare a targeted amplicon sequencing approach (using ARTIC v3; hereafter referred to as sequencing) with RT-ddPCR quantification for the detection of five mutations that are characteristic of variants of concern (VoCs) in wastewater samples. In total, 547 wastewater samples were analyzed using both methods in parallel. When we observed positive mutation detections by RT-ddPCR, 42.6% of the detection events were missed by sequencing, due to negative detection or the limited read coverage at the mutation position. Further, when sequencing reported negative or depth-limited mutation detections, 26.7% of those events were instead positive detections by RT-ddPCR, highlighting the relatively poor sensitivity of sequencing. No or weak associations were observed between quantitative measurements of target mutations determined by RT-ddPCR and sequencing. These findings caution the use of quantitative measurements of SARS-CoV-2 variants in wastewater samples determined solely based on sequencing.
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Affiliation(s)
- Esther G Lou
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Nicolae Sapoval
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, United States of America
| | - Camille McCall
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Lauren Bauhs
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Russell Carlson-Stadler
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Prashant Kalvapalle
- Systems, Synthetic, and Physical Biology Graduate Program, Rice University, 6100 Main Street, Houston, TX 77005, United States of America
| | - Yanlai Lai
- Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America
| | - Kyle Palmer
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Ryker Penn
- Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America
| | - Whitney Rich
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Madeline Wolken
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America
| | - Pamela Brown
- Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America
| | - Katherine B Ensor
- Department of Statistics, Rice University, 6100 Main Street MS 138, Houston, TX 77005, United States of America
| | - Loren Hopkins
- Houston Health Department, 8000 N. Stadium Dr., Houston, TX 77054, United States of America; Department of Statistics, Rice University, 6100 Main Street MS 138, Houston, TX 77005, United States of America
| | - Todd J Treangen
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, United States of America
| | - Lauren B Stadler
- Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS 519, Houston, TX 77005, United States of America.
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34
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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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35
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Liguori K, Keenum I, Davis BC, Calarco J, Milligan E, Harwood VJ, Pruden A. Antimicrobial Resistance Monitoring of Water Environments: A Framework for Standardized Methods and Quality Control. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:9149-9160. [PMID: 35732277 DOI: 10.1080/10643389.2021.2024739] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Antimicrobial resistance (AMR) is a grand societal challenge with important dimensions in the water environment that contribute to its evolution and spread. Environmental monitoring could provide vital information for mitigating the spread of AMR; this includes assessing antibiotic resistance genes (ARGs) circulating among human populations, identifying key hotspots for evolution and dissemination of resistance, informing epidemiological and human health risk assessment models, and quantifying removal efficiencies by domestic wastewater infrastructure. However, standardized methods for monitoring AMR in the water environment will be vital to producing the comparable data sets needed to address such questions. Here we sought to establish scientific consensus on a framework for such standardization, evaluating the state of the science and practice of AMR monitoring of wastewater, recycled water, and surface water, through a literature review, survey, and workshop leveraging the expertise of academic, governmental, consulting, and water utility professionals.
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Affiliation(s)
- Krista Liguori
- The Charles Edward Via, Jr., Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24060, United States
| | - Ishi Keenum
- The Charles Edward Via, Jr., Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24060, United States
| | - Benjamin C Davis
- The Charles Edward Via, Jr., Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24060, United States
| | - Jeanette Calarco
- Department of Integrative Biology, University of South Florida, Tampa, Florida 33620, United States
| | - Erin Milligan
- The Charles Edward Via, Jr., Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24060, United States
| | - Valerie J Harwood
- Department of Integrative Biology, University of South Florida, Tampa, Florida 33620, United States
| | - Amy Pruden
- The Charles Edward Via, Jr., Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24060, United States
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36
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Layton BA, Kaya D, Kelly C, Williamson KJ, Alegre D, Bachhuber SM, Banwarth PG, Bethel JW, Carter K, Dalziel BD, Dasenko M, Geniza M, George A, Girard AM, Haggerty R, Higley KA, Hynes DM, Lubchenco J, McLaughlin KR, Nieto FJ, Noakes A, Peterson M, Piemonti AD, Sanders JL, Tyler BM, Radniecki TS. Evaluation of a Wastewater-Based Epidemiological Approach to Estimate the Prevalence of SARS-CoV-2 Infections and the Detection of Viral Variants in Disparate Oregon Communities at City and Neighborhood Scales. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:67010. [PMID: 35767012 PMCID: PMC9241984 DOI: 10.1289/ehp10289] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 05/24/2022] [Accepted: 05/31/2022] [Indexed: 05/09/2023]
Abstract
BACKGROUND Positive correlations have been reported between wastewater SARS-CoV-2 concentrations and a community's burden of infection, disease or both. However, previous studies mostly compared wastewater to clinical case counts or nonrepresentative convenience samples, limiting their quantitative potential. OBJECTIVES This study examined whether wastewater SARS-CoV-2 concentrations could provide better estimations for SARS-CoV-2 community prevalence than reported cases of COVID-19. In addition, this study tested whether wastewater-based epidemiology methods could identify neighborhood-level COVID-19 hotspots and SARS-CoV-2 variants. METHODS Community SARS-CoV-2 prevalence was estimated from eight randomized door-to-door nasal swab sampling events in six Oregon communities of disparate size, location, and demography over a 10-month period. Simultaneously, wastewater SARS-CoV-2 concentrations were quantified at each community's wastewater treatment plant and from 22 Newport, Oregon, neighborhoods. SARS-CoV-2 RNA was sequenced from all positive wastewater and nasal swab samples. Clinically reported case counts were obtained from the Oregon Health Authority. RESULTS Estimated community SARS-CoV-2 prevalence ranged from 8 to 1,687/10,000 persons. Community wastewater SARS-CoV-2 concentrations ranged from 2.9 to 5.1 log 10 gene copies per liter. Wastewater SARS-CoV-2 concentrations were more highly correlated (Pearson's r = 0.96 ; R 2 = 0.91 ) with community prevalence than were clinically reported cases of COVID-19 (Pearson's r = 0.85 ; R 2 = 0.73 ). Monte Carlo simulations indicated that wastewater SARS-CoV-2 concentrations were significantly better than clinically reported cases at estimating prevalence (p < 0.05 ). In addition, wastewater analyses determined neighborhood-level COVID-19 hot spots and identified SARS-CoV-2 variants (B.1 and B.1.399) at the neighborhood and city scales. DISCUSSION The greater reliability of wastewater SARS-CoV-2 concentrations over clinically reported case counts was likely due to systematic biases that affect reported case counts, including variations in access to testing and underreporting of asymptomatic cases. With these advantages, combined with scalability and low costs, wastewater-based epidemiology can be a key component in public health surveillance of COVID-19 and other communicable infections. https://doi.org/10.1289/EHP10289.
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Affiliation(s)
- Blythe A. Layton
- School of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA
- Department of Research and Innovation, Clean Water Services, Hillsboro, Oregon, USA
| | - Devrim Kaya
- School of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA
| | - Christine Kelly
- School of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA
| | | | - Dana Alegre
- Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA
| | | | | | - Jeffrey W. Bethel
- School of Biological and Population Health Sciences, OSU, Corvallis, Oregon, USA
| | - Katherine Carter
- Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA
| | - Benjamin D. Dalziel
- Department of Integrative Biology, OSU, Corvallis, Oregon, USA
- Department of Mathematics, OSU, Corvallis, Oregon, USA
| | - Mark Dasenko
- Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA
| | - Matthew Geniza
- Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA
| | - Andrea George
- School of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA
- Department of Research and Innovation, Clean Water Services, Hillsboro, Oregon, USA
| | | | | | - Kathryn A. Higley
- School of Nuclear Science and Engineering, OSU, Corvallis, Oregon, USA
| | - Denise M. Hynes
- Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA
- U.S. Department of Veterans Affairs, Portland, Oregon, USA
- College of Public Health and Human Sciences, OSU, Corvallis, Oregon, USA
| | - Jane Lubchenco
- Department of Integrative Biology, OSU, Corvallis, Oregon, USA
| | | | - F. Javier Nieto
- College of Public Health and Human Sciences, OSU, Corvallis, Oregon, USA
| | | | - Matthew Peterson
- Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA
| | - Adriana D. Piemonti
- Department of Research and Innovation, Clean Water Services, Hillsboro, Oregon, USA
| | | | - Brett M. Tyler
- Center for Quantitative Life Sciences, OSU, Corvallis, Oregon, USA
- Departmehnt of Botany and Plant Pathology, OSU, Corvallis, Oregon, USA
| | - Tyler S. Radniecki
- School of Chemical, Biological, and Environmental Engineering, Oregon State University (OSU), Corvallis, Oregon, USA
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Zhang H, Gong HY, Cao WW, Que MY, Ye L, Shi L. Duplex droplet digital PCR method for the detection of Enterocytozoon hepatopenaei and Vibrio parahaemolyticus acute hepatopancreatic necrosis disease. JOURNAL OF FISH DISEASES 2022; 45:761-769. [PMID: 35322884 DOI: 10.1111/jfd.13600] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/14/2022] [Accepted: 02/14/2022] [Indexed: 06/14/2023]
Abstract
Enterocytozoon hepatopenaei (EHP) and Vibrio parahaemolyticus acute hepatopancreatic necrosis disease (VPAHPND) are two of the diseases that have frequently infected farmed shrimp in recent years, causing great economic losses to the shrimp industry worldwide. In this study, we established a sensitive and accurate duplex droplet digital PCR (ddPCR) method that can simultaneously detect and quantify the two pathogens simultaneously. The results showed that the ddPCR methods could detect EHP and VPAHPND specifically. The sensitivity levels of ddPCR for EHP and VPAHPND were 2.3 copies/μl and 4.6 copies/μl, respectively, which were 10-fold higher than the sensitivity of the qPCR assay and showed good reproducibility. Twenty-six suspected diseased shrimp samples were used for practical determination. For EHP, the detection rates of ddPCR and qPCR were 53.84% and 42.31%, respectively; for VPAHPND, the detection rates of ddPCR and qPCR were both 23.08%. The results indicated that the ddPCR method shows superiority for detection in samples with low viral loads, which will facilitate monitoring of the source and transmission of EHP and VPAHPND and will help control shrimp epidemic disease.
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Affiliation(s)
- Huang Zhang
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou, China
| | - Han-Yue Gong
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou, China
| | - Wei-Wei Cao
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou, China
| | - Mu-Yi Que
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou, China
| | - Lei Ye
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou, China
| | - Lei Shi
- Institute of Food Safety and Nutrition, Jinan University, Guangzhou, China
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Paruch L. Molecular Diagnostic Tools Applied for Assessing Microbial Water Quality. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5128. [PMID: 35564522 PMCID: PMC9105083 DOI: 10.3390/ijerph19095128] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/20/2022] [Accepted: 04/21/2022] [Indexed: 11/16/2022]
Abstract
Microbial water quality is of vital importance for human, animal, and environmental health. Notably, pathogenically contaminated water can result in serious health problems, such as waterborne outbreaks, which have caused huge economic and social losses. In this context, the prompt detection of microbial contamination becomes essential to enable early warning and timely reaction with proper interventions. Recently, molecular diagnostics have been increasingly employed for the rapid and robust assessment of microbial water quality implicated by various microbial pollutants, e.g., waterborne pathogens and antibiotic-resistance genes (ARGs), imposing the most critical health threats to humans and the environment. Continuous technological advances have led to constant improvements and expansions of molecular methods, such as conventional end-point PCR, DNA microarray, real-time quantitative PCR (qPCR), multiplex qPCR (mqPCR), loop-mediated isothermal amplification (LAMP), digital droplet PCR (ddPCR), and high-throughput next-generation DNA sequencing (HT-NGS). These state-of-the-art molecular approaches largely facilitate the surveillance of microbial water quality in diverse aquatic systems and wastewater. This review provides an up-to-date overview of the advancement of the key molecular tools frequently employed for microbial water quality assessment, with future perspectives on their applications.
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Affiliation(s)
- Lisa Paruch
- Division of Environment and Natural Resources, Norwegian Institute of Bioeconomy Research-NIBIO Oluf Thesens vei 43, 1433 Aas, Norway
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Wu X, Chan C, Springs SL, Lee YH, Lu TK, Yu H. A warm-start digital CRISPR/Cas-based method for the quantitative detection of nucleic acids. Anal Chim Acta 2022; 1196:339494. [DOI: 10.1016/j.aca.2022.339494] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 01/03/2022] [Accepted: 01/11/2022] [Indexed: 12/21/2022]
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Ahmed W, Simpson SL, Bertsch PM, Bibby K, Bivins A, Blackall LL, Bofill-Mas S, Bosch A, Brandão J, Choi PM, Ciesielski M, Donner E, D'Souza N, Farnleitner AH, Gerrity D, Gonzalez R, Griffith JF, Gyawali P, Haas CN, Hamilton KA, Hapuarachchi HC, Harwood VJ, Haque R, Jackson G, Khan SJ, Khan W, Kitajima M, Korajkic A, La Rosa G, Layton BA, Lipp E, McLellan SL, McMinn B, Medema G, Metcalfe S, Meijer WG, Mueller JF, Murphy H, Naughton CC, Noble RT, Payyappat S, Petterson S, Pitkänen T, Rajal VB, Reyneke B, Roman FA, Rose JB, Rusiñol M, Sadowsky MJ, Sala-Comorera L, Setoh YX, Sherchan SP, Sirikanchana K, Smith W, Steele JA, Sabburg R, Symonds EM, Thai P, Thomas KV, Tynan J, Toze S, Thompson J, Whiteley AS, Wong JCC, Sano D, Wuertz S, Xagoraraki I, Zhang Q, Zimmer-Faust AG, Shanks OC. Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 805:149877. [PMID: 34818780 PMCID: PMC8386095 DOI: 10.1016/j.scitotenv.2021.149877] [Citation(s) in RCA: 123] [Impact Index Per Article: 61.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/20/2021] [Accepted: 08/20/2021] [Indexed: 05/18/2023]
Abstract
Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) in wastewater can potentially provide an early warning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA in wastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases.
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Affiliation(s)
- Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia.
| | | | - Paul M Bertsch
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Kyle Bibby
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Aaron Bivins
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Linda L Blackall
- School of BioSciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Sílvia Bofill-Mas
- Laboratory of Virus Contaminants of Water and Food, Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, 08028 Barcelona, Spain
| | - Albert Bosch
- Enteric Virus Laboratory, Department of Genetics, Microbiology and Statistics, University of Barcelona, Avda. Diagonal 643, 08028 Barcelona, Spain
| | - João Brandão
- Department of Environmental Health, National Institute of Health Dr. Ricardo Jorge, Lisboa, Portugal
| | - Phil M Choi
- Water Unit, Health Protection Branch, Prevention Division, Queensland Health, QLD, Australia; The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Mark Ciesielski
- University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC, United States
| | - Erica Donner
- Future Industries Institute, University of South Australia, University Boulevard, Mawson Lakes, SA 5095, Australia
| | - Nishita D'Souza
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Andreas H Farnleitner
- Institute of Chemical, Environmental & Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostic, 166/5/3, Technische Universität Wien, Vienna, Austria; Research Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straβe 30, 3500 Krems an der Donau, Austria
| | - Daniel Gerrity
- Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA
| | - Raul Gonzalez
- Hampton Roads Sanitation District, 1434 Air Rail Avenue, Virginia Beach, VA 23455, USA
| | - John F Griffith
- Southern California Coastal Water Research Project, Costa Mesa, CA 92626, USA
| | - Pradip Gyawali
- Institute of Environmental Science and Research Ltd (ESR), Porirua 5240, New Zealand
| | | | - Kerry A Hamilton
- School of Sustainable Engineering and the Built Environment and The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ 85287, USA
| | | | - Valerie J Harwood
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Rehnuma Haque
- Environmental Interventions Unit, Icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka 1212, Bangladesh
| | - Greg Jackson
- Water Unit, Health Protection Branch, Prevention Division, Queensland Health, QLD, Australia
| | - Stuart J Khan
- Water Research Centre, School of Civil and Environmental Engineering, University of New South Wales, NSW 2052, Australia
| | - Wesaal Khan
- Department of Microbiology, Faculty of Science, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa
| | - Masaaki Kitajima
- Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan
| | - Asja Korajkic
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
| | - Giuseppina La Rosa
- Department of Environment and Health, Istituto Superiore di Sanità, Rome, Italy
| | - Blythe A Layton
- Department of Research & Innovation, Clean Water Services, Hillsboro, OR, USA
| | - Erin Lipp
- Environmental Health Sciences Department, University of Georgia, Athens, GA 30602, USA
| | - Sandra L McLellan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, WI, USA
| | - Brian McMinn
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
| | - Gertjan Medema
- KWR Water Research Institute, Groningenhaven 7, 3433 PE Nieuwegein, the Netherlands
| | - Suzanne Metcalfe
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Wim G Meijer
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Jochen F Mueller
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Heather Murphy
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Coleen C Naughton
- University of California Merced, Department of Civil and Environmental Engineering, 5200 N. Lake Rd., Merced, CA 95343, USA
| | - Rachel T Noble
- University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC, United States
| | - Sudhi Payyappat
- Sydney Water, 1 Smith Street, Parramatta, NSW 2150, Australia
| | - Susan Petterson
- Water and Health Pty Ltd., 13 Lord St, North Sydney, NSW 2060, Australia; School of Medicine, Griffith University, Parklands Drive, Gold Coast, Australia
| | - Tarja Pitkänen
- Finnish Institute for Health and Welfare, Expert Microbiology Unit, P.O. Box 95, FI-70701 Kuopio, Finland; University of Helsinki, Faculty of Veterinary Medicine, Department of Food Hygiene and Environmental Health, P.O. Box 66, FI-00014, Finland
| | - Veronica B Rajal
- Facultad de Ingeniería and Instituto de Investigaciones para la Industria Química (INIQUI) - CONICET and Universidad Nacional de Salta, Av. Bolivia 5150, Salta, Argentina
| | - Brandon Reyneke
- Department of Microbiology, Faculty of Science, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa
| | - Fernando A Roman
- University of California Merced, Department of Civil and Environmental Engineering, 5200 N. Lake Rd., Merced, CA 95343, USA
| | - Joan B Rose
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Marta Rusiñol
- Institute of Environmental Assessment & Water Research (IDAEA), CSIC, Barcelona, Spain
| | - Michael J Sadowsky
- Biotechnology Institute and Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
| | - Laura Sala-Comorera
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Yin Xiang Setoh
- Environmental Health Institute, National Environment Agency, Singapore
| | - Samendra P Sherchan
- Department of Environmental Health Sciences, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA
| | - Kwanrawee Sirikanchana
- Research Laboratory of Biotechnology, Chulabhorn Research Institute, 54 Kampangpetch 6 Road, Laksi, Bangkok 10210, Thailand
| | - Wendy Smith
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Joshua A Steele
- Southern California Coastal Water Research Project, Costa Mesa, CA 92626, USA
| | - Rosalie Sabburg
- CSIRO Agriculture and Food, Bioscience Precinct, St Lucia, QLD 4067, Australia
| | - Erin M Symonds
- College of Marine Science, University of South Florida, St. Petersburg, FL, USA
| | - Phong Thai
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Kevin V Thomas
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Josh Tynan
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Simon Toze
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Janelle Thompson
- Asian School of the Environment, Nanyang Technological University, Singapore 639798, Singapore; Singapore Centre for Environmental Life Sciences Engineering (SCELSE) Singapore 637551
| | | | | | - Daisuke Sano
- Department of Civil and Environmental Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-06, Aramaki, Aoba-Ku, Sendai, Miyagi 980-8597, Japan
| | - Stefan Wuertz
- Singapore Centre for Environmental Life Sciences Engineering (SCELSE) Singapore 637551; School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798
| | - Irene Xagoraraki
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Qian Zhang
- Biotechnology Institute and Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
| | | | - Orin C Shanks
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
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Zhang Z, Li X, Liu H, Zamyadi A, Guo W, Wen H, Gao L, Nghiem LD, Wang Q. Advancements in detection and removal of antibiotic resistance genes in sludge digestion: A state-of-art review. BIORESOURCE TECHNOLOGY 2022; 344:126197. [PMID: 34710608 DOI: 10.1016/j.biortech.2021.126197] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 10/16/2021] [Accepted: 10/19/2021] [Indexed: 06/13/2023]
Abstract
Sludge from wastewater treatment plants can act as a repository and crucial environmental provider of antibiotic resistance genes (ARGs). Over the past few years, people's knowledge regarding the occurrence and removal of ARGs in sludge has broadened remarkably with advancements in molecular biological techniques. Anaerobic and aerobic digestion were found to effectively achieve sludge reduction and ARGs removal. This review summarized advanced detection and removal techniques of ARGs, in the last decade, in the sludge digestion field. The fate of ARGs due to different sludge digestion strategies (i.e., anaerobic and aerobic digestion under mesophilic or thermophilic conditions, and in combination with relevant pretreatment technologies (e.g., thermal hydrolysis pretreatment, microwave pretreatment and alkaline pretreatment) and additives (e.g., ferric chloride and zero-valent iron) were systematically summarized and compared in this review. To date, this is the first review that provides a comprehensive assessment of the state-of-the-art technologies and future recommendations.
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Affiliation(s)
- Zehao Zhang
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Xuan Li
- School of Civil, Mining and Environmental Engineering, University of Wollongong, Australia.
| | - Huan Liu
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Arash Zamyadi
- Water Research Australia Limited, Melbourne & Adelaide SA 5001, Australia
| | - Wenshan Guo
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Haiting Wen
- School of Environment and Nature Resources, Renmin University of China, Beijing 100872, PR China
| | - Li Gao
- South East Water, 101 Wells Street, Frankston, VIC 3199, Australia
| | - Long D Nghiem
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Qilin Wang
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
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Espira L, Aung T, Han K, Jagger P, Eisenberg JNS. Determinants of Pathogen Contamination of the Environment in the Greater Yangon Area, Myanmar. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:16465-16476. [PMID: 34792323 DOI: 10.1021/acs.est.1c02887] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Recent results from water, sanitation, and hygiene interventions highlight the need to better understand environmental influences on enteropathogen transmission. We quantified a range of viral, bacterial, and protozoal pathogens and one indicator, Enterococcus faecalis in soil and water from urban and rural sites in and around Yangon, Myanmar. We found that environmental characteristics associated with contamination differed by pathogens and substrates. In soil, bacterial pathogen gene counts were associated with elevation and drainage ditches (compared to stagnant water) (RR = 0.96, 95% CI 0.93, 0.99 and RR = 1.70, 95% CI 1.18, 2.45, respectively), while viral gene counts were associated with the presence of sanitation facilities within 50 m of the collection point (RR = 3.99, 95% CI 1.12, 14.24). In water, E. faecalis, total pathogen, and bacterial pathogen gene counts were associated with drainage ditches (RR = 1.86, 95% CI 1.27, 2.72, RR = 1.38 95% CI 1.09, 1.74, and RR = 1.38 95% CI 1.07, 1.77, respectively). E. faecalis, total pathogen, bacterial pathogen, and viral gene counts were associated with the presence of uncollected garbage within 50 m of the collection point (RR = 1.57, 95% CI 1.00, 2.47, RR = 1.52, 95% CI 1.16, 2.00, RR = 1.52, 95% CI 1.13, 2.06, and RR = 1.75, 95% CI 1.17, 2.61 respectively). Measuring the environment provides added specificity toward identifying important environmental pathways that require mitigation.
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Affiliation(s)
- Leon Espira
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Ther Aung
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27516, United States
| | - Khin Han
- Department of Geography, West Yangon University, Yangon 13393, Myanmar
| | - Pamela Jagger
- School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Joseph N S Eisenberg
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, United States
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Feist SM, Lance RF. Genetic detection of freshwater harmful algal blooms: A review focused on the use of environmental DNA (eDNA) in Microcystis aeruginosa and Prymnesium parvum. HARMFUL ALGAE 2021; 110:102124. [PMID: 34887004 DOI: 10.1016/j.hal.2021.102124] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 10/12/2021] [Accepted: 10/12/2021] [Indexed: 06/13/2023]
Abstract
Recurrence and severity of harmful algal blooms (HABs) are increasing due to a number of factors, including human practices and climate change. Sensitive and robust methods that allow for early and expedited HAB detection across large landscape scales are needed. Among the suite of HAB detection tools available, a powerful option exists in genetics-based approaches utilizing environmental sampling, also termed environmental DNA (eDNA). Here we provide a detailed methodological review of three HAB eDNA approaches (quantitative PCR, high throughput sequencing, and isothermal amplification). We then summarize and synthesize recently published eDNA applications covering a variety of HAB surveillance and research objectives, all with a specific emphasis in the detection of two widely problematic freshwater species, Microcystis aeruginosa and Prymnesium parvum. In our summary and conclusion we build on this literature by discussing ways in which eDNA methods could be advanced to improve HAB detection. We also discuss ways in which eDNA data could be used to potentially provide novel insight into the ecology, mitigation, and prediction of HABs.
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Affiliation(s)
- Sheena M Feist
- Environmental Lab, United States Army Corps of Engineers Research and Development Center, Vicksburg, MS, 39180, United States.
| | - Richard F Lance
- Environmental Lab, United States Army Corps of Engineers Research and Development Center, Vicksburg, MS, 39180, United States
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Tan F, Xiao P, Yang JR, Chen H, Jin L, Yang Y, Lin TF, Willis A, Yang J. Precision early detection of invasive and toxic cyanobacteria: A case study of Raphidiopsis raciborskii. HARMFUL ALGAE 2021; 110:102125. [PMID: 34887005 DOI: 10.1016/j.hal.2021.102125] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 10/13/2021] [Accepted: 10/16/2021] [Indexed: 06/13/2023]
Abstract
Blooms of the toxic cyanobacterium, Raphidiopsis raciborskii (basionym Cylindrospermopsis raciborskii), are becoming a major environmental issue in freshwater ecosystems globally. Our precision prevention and early detection of R. raciborskii blooms rely upon the accuracy and speed of the monitoring method. A duplex digital PCR (dPCR) monitoring approach was developed and validated to detect the abundance and toxin-producing potential of R. raciborskii simultaneously in both laboratory spiked and environmental samples. Results of dPCR were strongly correlated with traditional real time quantitative PCR (qPCR) and microscopy for both laboratory and environmental samples. However, discrepancies between methods were observed when measuring R. raciborskii at low abundance (1 - 105 cells L - 1), with dPCR showing a higher precision compared to qPCR at low cell concentration. Furthermore, the dPCR assay had the highest detection rate for over two hundred environmental samples especially under low abundance conditions, followed by microscopy and qPCR. dPCR assay had the advantages of simple operation, time-saving, high sensitivity and excellent reproducibility. Therefore, dPCR would be a fast and precise monitoring method for the early warning of toxic bloom-forming cyanobacterial species and assessment of water quality risks, which can improve prediction and prevention of the impacts of harmful cyanobacterial bloom events in inland waters.
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Affiliation(s)
- Fengjiao Tan
- Aquatic EcoHealth Group, Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peng Xiao
- Aquatic EcoHealth Group, Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Jun R Yang
- Aquatic EcoHealth Group, Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Engineering Research Center of Ecology and Agricultural Use of Wetland (Ministry of Education), College of Agriculture, Yangtze University, Jingzhou 434025, China
| | - Huihuang Chen
- Aquatic EcoHealth Group, Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lei Jin
- Aquatic EcoHealth Group, Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yigang Yang
- Aquatic EcoHealth Group, Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tsair-Fuh Lin
- Department of Environmental Engineering, National Cheng Kung University, Tainan 70101, Taiwan
| | - Anusuya Willis
- Australian National Algae Culture Collection, CSIRO, Hobart 7000, Tasmania, Australia
| | - Jun Yang
- Aquatic EcoHealth Group, Fujian Key Laboratory of Watershed Ecology, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
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Rothman JA, Loveless TB, Kapcia J, Adams ED, Steele JA, Zimmer-Faust AG, Langlois K, Wanless D, Griffith M, Mao L, Chokry J, Griffith JF, Whiteson KL. RNA Viromics of Southern California Wastewater and Detection of SARS-CoV-2 Single-Nucleotide Variants. Appl Environ Microbiol 2021; 87:e0144821. [PMID: 34550753 PMCID: PMC8579973 DOI: 10.1128/aem.01448-21] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/14/2021] [Indexed: 11/20/2022] Open
Abstract
Municipal wastewater provides an integrated sample of a diversity of human-associated microbes across a sewershed, including viruses. Wastewater-based epidemiology (WBE) is a promising strategy to detect pathogens and may serve as an early warning system for disease outbreaks. Notably, WBE has garnered substantial interest during the coronavirus disease 2019 (COVID-19) pandemic to track disease burden through analyses of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA. Throughout the COVID-19 outbreak, tracking SARS-CoV-2 in wastewater has been an important tool for understanding the spread of the virus. Unlike traditional sequencing of SARS-CoV-2 isolated from clinical samples, which adds testing burden to the health care system, in this study, metatranscriptomics was used to sequence virus directly from wastewater. Here, we present a study in which we explored RNA viral diversity through sequencing 94 wastewater influent samples across seven wastewater treatment plants (WTPs), collected from August 2020 to January 2021, representing approximately 16 million people in Southern California. Enriched viral libraries identified a wide diversity of RNA viruses that differed between WTPs and over time, with detected viruses including coronaviruses, influenza A, and noroviruses. Furthermore, single-nucleotide variants (SNVs) of SARS-CoV-2 were identified in wastewater, and we measured proportions of overall virus and SNVs across several months. We detected several SNVs that are markers for clinically important SARS-CoV-2 variants along with SNVs of unknown function, prevalence, or epidemiological consequence. Our study shows the potential of WBE to detect viruses in wastewater and to track the diversity and spread of viral variants in urban and suburban locations, which may aid public health efforts to monitor disease outbreaks. IMPORTANCE Wastewater-based epidemiology (WBE) can detect pathogens across sewersheds, which represents the collective waste of human populations. As there is a wide diversity of RNA viruses in wastewater, monitoring the presence of these viruses is useful for public health, industry, and ecological studies. Specific to public health, WBE has proven valuable during the coronavirus disease 2019 (COVID-19) pandemic to track the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) without adding burden to health care systems. In this study, we used metatranscriptomics and reverse transcription-droplet digital PCR (RT-ddPCR) to assay RNA viruses across Southern California wastewater from August 2020 to January 2021, representing approximately 16 million people from Los Angeles, Orange, and San Diego counties. We found that SARS-CoV-2 quantification in wastewater correlates well with county-wide COVID-19 case data, and that we can detect SARS-CoV-2 single-nucleotide variants through sequencing. Likewise, wastewater treatment plants (WTPs) harbored different viromes, and we detected other human pathogens, such as noroviruses and adenoviruses, furthering our understanding of wastewater viral ecology.
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Affiliation(s)
- Jason A. Rothman
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, California, USA
| | - Theresa B. Loveless
- Department of Biomedical Engineering, University of California, Irvine, Irvine, California, USA
| | - Joseph Kapcia
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, California, USA
| | - Eric D. Adams
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, California, USA
| | - Joshua A. Steele
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | | | - Kylie Langlois
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | - David Wanless
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | - Madison Griffith
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | - Lucy Mao
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | - Jeffrey Chokry
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | - John F. Griffith
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | - Katrine L. Whiteson
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, California, USA
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Ginn O, Rocha-Melogno L, Bivins A, Lowry S, Cardelino M, Nichols D, Tripathi SN, Soria F, Andrade M, Bergin M, Deshusses MA, Brown J. Detection and Quantification of Enteric Pathogens in Aerosols Near Open Wastewater Canals in Cities with Poor Sanitation. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:14758-14771. [PMID: 34669386 DOI: 10.1021/acs.est.1c05060] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Urban sanitation infrastructure is inadequate in many low-income countries, leading to the presence of highly concentrated, uncontained fecal waste streams in densely populated areas. Combined with mechanisms of aerosolization, airborne transport of enteric microbes and their genetic material is possible in such settings but remains poorly characterized. We detected and quantified enteric pathogen-associated gene targets in aerosol samples near open wastewater canals (OWCs) or impacted (receiving sewage or wastewater) surface waters and control sites in La Paz, Bolivia; Kanpur, India; and Atlanta, USA, via multiplex reverse-transcription qPCR (37 targets) and ddPCR (13 targets). We detected a wide range of enteric targets, some not previously reported in extramural urban aerosols, with more frequent detections of all enteric targets at higher densities in La Paz and Kanpur near OWCs. We report density estimates ranging up to 4.7 × 102 gc per mair3 across all targets including heat-stable enterotoxigenic Escherichia coli, Campylobacter jejuni, enteroinvasive E. coli/Shigella spp., Salmonella spp., norovirus, and Cryptosporidium spp. Estimated 25, 76, and 0% of samples containing positive pathogen detects were accompanied by culturable E. coli in La Paz, Kanpur, and Atlanta, respectively, suggesting potential for viability of enteric microbes at the point of sampling. Airborne transmission of enteric pathogens merits further investigation in cities with poor sanitation.
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Affiliation(s)
- Olivia Ginn
- Department of Civil and Environmental Engineering and Earth Science, University of Notre Dame, Notre Dame, Indiana 46656, United States
| | - Lucas Rocha-Melogno
- Department of Civil and Environmental Engineering, and Duke Global Health Institute, Duke University, Durham, North Carolina 27708, United States
- ICF, 2635 Meridian Parkway Suite 200, Durham, North Carolina 27713, United States
| | - Aaron Bivins
- Department of Civil and Environmental Engineering and Earth Science, University of Notre Dame, Notre Dame, Indiana 46656, United States
| | - Sarah Lowry
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Maria Cardelino
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Dennis Nichols
- Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Sachchida Nand Tripathi
- Department of Civil Engineering & Centre for Environmental Science and Engineering, Indian Institute of Technology - Kalyanpur, Kanpur 208016, Uttar Pradesh, India
| | - Freddy Soria
- Centro de Investigación en Agua, Energía y Sostenibilidad, Universidad Católica Boliviana "San Pablo", La Paz 4807, Bolivia
| | - Marcos Andrade
- Laboratory for Atmospheric Physics, Institute for Physics Research, Universidad Mayor de San Andres, La Paz 1995, Bolivia
- Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, Maryland 20742, United States
| | - Mike Bergin
- Department of Civil and Environmental Engineering, and Duke Global Health Institute, Duke University, Durham, North Carolina 27708, United States
| | - Marc A Deshusses
- Department of Civil and Environmental Engineering, and Duke Global Health Institute, Duke University, Durham, North Carolina 27708, United States
| | - Joe Brown
- Deparment of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina 27599, United States
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Ciesielski M, Blackwood D, Clerkin T, Gonzalez R, Thompson H, Larson A, Noble R. Assessing sensitivity and reproducibility of RT-ddPCR and RT-qPCR for the quantification of SARS-CoV-2 in wastewater. J Virol Methods 2021; 297:114230. [PMID: 34252511 PMCID: PMC8267102 DOI: 10.1016/j.jviromet.2021.114230] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 07/02/2021] [Accepted: 07/03/2021] [Indexed: 12/29/2022]
Abstract
Throughout the COVID-19 global pandemic there has been significant interest and investment in using Wastewater-Based Epidemiology (WBE) for surveillance of viral pathogen presence and infections at the community level. There has been a push for widescale implementation of standardized protocols to quantify viral loads in a range of wastewater systems. To address concerns regarding sensitivity, limits of quantification, and large-scale reproducibility, a comparison of two similar workflows using RT-qPCR and RT-ddPCR was conducted. Sixty raw wastewater influent samples were acquired from nine distinct wastewater treatment plants (WWTP's) served by the Hampton Roads Sanitation District (HRSD, Virginia Beach, Virginia) over a 6-month period beginning March 9th, 2020. Common reagents, controls, master mixes and nucleic acid extracts were shared between two individual processing groups based out of HRSD and the UNC Chapel Hill Institute of Marine Sciences (IMS, Morehead City, North Carolina). Samples were analyzed in parallel using One-Step RT-qPCR and One-Step RT-ddPCR with Nucleocapsid Protein 2 (N2) specific primers and probe. Influent SARS-CoV-2 N2 concentrations steadily increased over time spanning a range from non-detectable to 2.13E + 05 copies/L. Systematic dilution of the extracts indicated that inhibitory components in the wastewater matrices did not significantly impede the detection of a positive N2 signal for either workflow. The RT-ddPCR workflow had a greater analytical sensitivity with a lower Limit of Detection (LOD) at 0.066 copies/μl of template compared to RT-qPCR with a calculated LOD of 12.0 copies/μL of template. Interlaboratory comparisons using non-parametric correlation analysis demonstrated that there was a strong, significant, positive correlation between split extracts when employing RT-ddPCR for analysis with a ρ value of 0.86.
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Affiliation(s)
- Mark Ciesielski
- Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina, United States
| | - Denene Blackwood
- Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina, United States
| | - Thomas Clerkin
- Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina, United States
| | - Raul Gonzalez
- Hampton Roads Sanitation District, Virginia Beach, Virginia, United States
| | - Hannah Thompson
- Hampton Roads Sanitation District, Virginia Beach, Virginia, United States
| | - Allison Larson
- Hampton Roads Sanitation District, Virginia Beach, Virginia, United States
| | - Rachel Noble
- Institute of Marine Sciences, University of North Carolina at Chapel Hill, Morehead City, North Carolina, United States.
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48
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Weli SC, Bernhardt LV, Qviller L, Dale OB, Lillehaug A. Infectious Salmon Anemia Virus Shedding from Infected Atlantic Salmon ( Salmo salar L.)-Application of a Droplet Digital PCR Assay for Virus Quantification in Seawater. Viruses 2021; 13:v13091770. [PMID: 34578351 PMCID: PMC8471646 DOI: 10.3390/v13091770] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 08/25/2021] [Accepted: 09/01/2021] [Indexed: 12/18/2022] Open
Abstract
Infectious salmon anemia virus (ISAV) infection is currently detected by fish sampling for PCR and immunohistochemistry analysis. As an alternative to sampling fish, we evaluated two different membrane filters in combination with four buffers for elution, concentration, and detection of ISAV in seawater, during a bath challenge of Atlantic salmon (Salmo salar L.) post-smolts with high and low concentrations of ISAV. Transmission of ISAV in the bath challenge was confirmed by a high mortality, clinical signs associated with ISA disease, and detection of ISAV RNA in organ tissues and seawater samples. The electronegatively charged filter, combined with lysis buffer, gave significantly higher ISAV RNA detection by droplet digital PCR from seawater (5.6 × 104 ISAV RNA copies/L; p < 0.001). Viral shedding in seawater was first detected at two days post-challenge and peaked on day 11 post-challenge, one day before mortalities started in fish challenged with high dose ISAV, demonstrating that a large viral shedding event occurs before death. These data provide important information for ISAV shedding that is relevant for the development of improved surveillance tools based on water samples, transmission models, and management of ISA.
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49
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Diner RE, Kaul D, Rabines A, Zheng H, Steele JA, Griffith JF, Allen AE. Pathogenic Vibrio Species Are Associated with Distinct Environmental Niches and Planktonic Taxa in Southern California (USA) Aquatic Microbiomes. mSystems 2021; 6:e0057121. [PMID: 34227831 PMCID: PMC8407410 DOI: 10.1128/msystems.00571-21] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 06/08/2021] [Indexed: 01/04/2023] Open
Abstract
Interactions between vibrio bacteria and the planktonic community impact marine ecology and human health. Many coastal Vibrio spp. can infect humans, representing a growing threat linked to increasing seawater temperatures. Interactions with eukaryotic organisms may provide attachment substrate and critical nutrients that facilitate the persistence, diversification, and spread of pathogenic Vibrio spp. However, vibrio interactions with planktonic organisms in an environmental context are poorly understood. We quantified the pathogenic Vibrio species V. cholerae, V. parahaemolyticus, and V. vulnificus monthly for 1 year at five sites and observed high abundances, particularly during summer months, with species-specific temperature and salinity distributions. Using metabarcoding, we established a detailed profile of both prokaryotic and eukaryotic coastal microbial communities. We found that pathogenic Vibrio species were frequently associated with distinct eukaryotic amplicon sequence variants (ASVs), including diatoms and copepods. Shared environmental conditions, such as high temperatures and low salinities, were associated with both high concentrations of pathogenic vibrios and potential environmental reservoirs, which may influence vibrio infection risks linked to climate change and should be incorporated into predictive ecological models and experimental laboratory systems. IMPORTANCE Many species of coastal vibrio bacteria can infect humans, representing a growing health threat linked to increasing seawater temperatures. However, their interactions with surrounding microbes in the environment, especially eukaryotic organisms that may provide nutrients and attachment substrate, are poorly understood. We quantified three pathogenic Vibrio species monthly for a duration of 1 year, finding that all three species were abundant and exhibited species-specific temperature and salinity distributions. Using metabarcoding, we investigated associations between these pathogenic species and prokaryotic and eukaryotic microbes, revealing genus and amplicon sequence variant (ASV)-specific relationships with potential functional implications. For example, pathogenic species were frequently associated with chitin-producing eukaryotes, such as diatoms in the genus Thalassiosira and copepods. These associations between high concentrations of pathogenic vibrios and potential environmental reservoirs should be considered when predicting infection risk and developing ecologically relevant model systems.
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Affiliation(s)
- Rachel E. Diner
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
- Department of Pediatrics, University of California San Diego, La Jolla, California, USA
- Microbial and Environmental Genomics Group, J. Craig Venter Institute, La Jolla, California, USA
| | - Drishti Kaul
- Microbial and Environmental Genomics Group, J. Craig Venter Institute, La Jolla, California, USA
| | - Ariel Rabines
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
- Microbial and Environmental Genomics Group, J. Craig Venter Institute, La Jolla, California, USA
| | - Hong Zheng
- Microbial and Environmental Genomics Group, J. Craig Venter Institute, La Jolla, California, USA
| | - Joshua A. Steele
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | - John F. Griffith
- Southern California Coastal Water Research Project, Costa Mesa, California, USA
| | - Andrew E. Allen
- Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
- Microbial and Environmental Genomics Group, J. Craig Venter Institute, La Jolla, California, USA
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50
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Zimmer-Faust AG, Steele JA, Xiong X, Staley C, Griffith M, Sadowsky MJ, Diaz M, Griffith JF. A Combined Digital PCR and Next Generation DNA-Sequencing Based Approach for Tracking Nearshore Pollutant Dynamics Along the Southwest United States/Mexico Border. Front Microbiol 2021; 12:674214. [PMID: 34421839 PMCID: PMC8377738 DOI: 10.3389/fmicb.2021.674214] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 05/25/2021] [Indexed: 12/27/2022] Open
Abstract
Ocean currents, multiple fecal bacteria input sources, and jurisdictional boundaries can complicate pollution source tracking and associated mitigation and management efforts within the nearshore coastal environment. In this study, multiple microbial source tracking tools were employed to characterize the impact and reach of an ocean wastewater treatment facility discharge in Mexico northward along the coast and across the Southwest United States- Mexico Border. Water samples were evaluated for fecal indicator bacteria (FIB), Enterococcus by culture-based methods, and human-associated genetic marker (HF183) and Enterococcus by droplet digital polymerase chain reaction (ddPCR). In addition, 16S rRNA gene sequence analysis was performed and the SourceTracker algorithm was used to characterize the bacterial community of the wastewater treatment plume and its contribution to beach waters. Sampling dates were chosen based on ocean conditions associated with northern currents. Evidence of a gradient in human fecal pollution that extended north from the wastewater discharge across the United States/Mexico border from the point source was observed using human-associated genetic markers and microbial community analysis. The spatial extent of fecal contamination observed was largely dependent on swell and ocean conditions. These findings demonstrate the utility of a combination of molecular tools for understanding and tracking specific pollutant sources in dynamic coastal water environments.
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Affiliation(s)
- Amity G Zimmer-Faust
- Southern California Coastal Water Research Project, Costa Mesa, CA, United States
| | - Joshua A Steele
- Southern California Coastal Water Research Project, Costa Mesa, CA, United States
| | - Xianyi Xiong
- BioTechnology Institute, University of Minnesota Twin Cities, Saint Paul, MN, United States
| | - Christopher Staley
- BioTechnology Institute, University of Minnesota Twin Cities, Saint Paul, MN, United States
| | - Madison Griffith
- Southern California Coastal Water Research Project, Costa Mesa, CA, United States
| | - Michael J Sadowsky
- Department of Soil, Water, and Climate, University of Minnesota Twin Cities, Saint Paul, MN, United States
| | - Margarita Diaz
- Proyecto Fronterizo de Educación Ambiental, A.C., Tijuana, Mexico
| | - John F Griffith
- Southern California Coastal Water Research Project, Costa Mesa, CA, United States
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