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Glassmeyer ST, Burns EE, Focazio MJ, Furlong ET, Gribble MO, Jahne MA, Keely SP, Kennicutt AR, Kolpin DW, Medlock Kakaley EK, Pfaller SL. Water, Water Everywhere, but Every Drop Unique: Challenges in the Science to Understand the Role of Contaminants of Emerging Concern in the Management of Drinking Water Supplies. GEOHEALTH 2023; 7:e2022GH000716. [PMID: 38155731 PMCID: PMC10753268 DOI: 10.1029/2022gh000716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 09/21/2023] [Accepted: 09/21/2023] [Indexed: 12/30/2023]
Abstract
The protection and management of water resources continues to be challenged by multiple and ongoing factors such as shifts in demographic, social, economic, and public health requirements. Physical limitations placed on access to potable supplies include natural and human-caused factors such as aquifer depletion, aging infrastructure, saltwater intrusion, floods, and drought. These factors, although varying in magnitude, spatial extent, and timing, can exacerbate the potential for contaminants of concern (CECs) to be present in sources of drinking water, infrastructure, premise plumbing and associated tap water. This monograph examines how current and emerging scientific efforts and technologies increase our understanding of the range of CECs and drinking water issues facing current and future populations. It is not intended to be read in one sitting, but is instead a starting point for scientists wanting to learn more about the issues surrounding CECs. This text discusses the topical evolution CECs over time (Section 1), improvements in measuring chemical and microbial CECs, through both analysis of concentration and toxicity (Section 2) and modeling CEC exposure and fate (Section 3), forms of treatment effective at removing chemical and microbial CECs (Section 4), and potential for human health impacts from exposure to CECs (Section 5). The paper concludes with how changes to water quantity, both scarcity and surpluses, could affect water quality (Section 6). Taken together, these sections document the past 25 years of CEC research and the regulatory response to these contaminants, the current work to identify and monitor CECs and mitigate exposure, and the challenges facing the future.
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Affiliation(s)
- Susan T. Glassmeyer
- U.S. Environmental Protection AgencyOffice of Research and DevelopmentCincinnatiOHUSA
| | | | - Michael J. Focazio
- Retired, Environmental Health ProgramEcosystems Mission AreaU.S. Geological SurveyRestonVAUSA
| | - Edward T. Furlong
- Emeritus, Strategic Laboratory Sciences BranchLaboratory & Analytical Services DivisionU.S. Geological SurveyDenverCOUSA
| | - Matthew O. Gribble
- Gangarosa Department of Environmental HealthRollins School of Public HealthEmory UniversityAtlantaGAUSA
| | - Michael A. Jahne
- U.S. Environmental Protection AgencyOffice of Research and DevelopmentCincinnatiOHUSA
| | - Scott P. Keely
- U.S. Environmental Protection AgencyOffice of Research and DevelopmentCincinnatiOHUSA
| | - Alison R. Kennicutt
- Department of Civil and Mechanical EngineeringYork College of PennsylvaniaYorkPAUSA
| | - Dana W. Kolpin
- U.S. Geological SurveyCentral Midwest Water Science CenterIowa CityIAUSA
| | | | - Stacy L. Pfaller
- U.S. Environmental Protection AgencyOffice of Research and DevelopmentCincinnatiOHUSA
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2
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Lenaker PL, Corsi SR, De Cicco LA, Olds HT, Dila DK, Danz ME, McLellan SL, Rutter TD. Modeled predictions of human-associated and fecal-indicator bacteria concentrations and loadings in the Menomonee River, Wisconsin using in-situ optical sensors. PLoS One 2023; 18:e0286851. [PMID: 37289789 PMCID: PMC10249839 DOI: 10.1371/journal.pone.0286851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 05/24/2023] [Indexed: 06/10/2023] Open
Abstract
Human sewage contamination of waterways is a major issue in the United States and throughout the world. Models were developed for estimation of two human-associated fecal-indicator and three general fecal-indicator bacteria (HIB and FIB) using in situ optical field-sensor data for estimating concentrations and loads of HIB and FIB and the extent of sewage contamination in the Menomonee River in Milwaukee, Wisconsin. Three commercially available optical sensor platforms were installed into an unfiltered custom-designed flow-through system along with a refrigerated automatic sampler at the Menomonee River sampling location. Ten-minute optical sensor measurements were made from November 2017 to December 2018 along with the collection of 153 flow-weighted discrete water samples (samples) for HIB, FIB, dissolved organic carbon (DOC), and optical properties of water. Of those 153 samples, 119 samples were from event-runoff periods, and 34 were collected during low-flow periods. Of the 119 event-runoff samples, 43 samples were from event-runoff combined sewer overflow (CSO) influenced periods (event-CSO periods). Models included optical sensor measurements as explanatory variables with a seasonal variable as an interaction term. In some cases, separate models for event-CSO periods and non CSO-periods generally improved model performance, as compared to using all the data combined for estimates of FIB and HIB. Therefore, the CSO and non-CSO models were used in final estimations for CSO and non-CSO time periods, respectively. Estimated continuous concentrations for all bacteria markers varied over six orders of magnitude during the study period. The greatest concentrations, loads, and proportion of sewage contamination occurred during event-runoff and event-CSO periods. Comparison to water quality standards and microbial risk assessment benchmarks indicated that estimated bacteria levels exceeded recreational water quality criteria between 34 and 96% of the entire monitoring period, highlighting the benefits of high-frequency monitoring compared to traditional grab sample collection. The application of optical sensors for estimation of HIB and FIB markers provided a thorough assessment of bacterial presence and human health risk in the Menomonee River.
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Affiliation(s)
- Peter L. Lenaker
- U.S. Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin, United States of America
| | - Steven R. Corsi
- U.S. Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin, United States of America
| | - Laura A. De Cicco
- U.S. Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin, United States of America
| | - Hayley T. Olds
- U.S. Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin, United States of America
| | - Debra K. Dila
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, United States of America
| | - Mari E. Danz
- U.S. Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin, United States of America
| | - Sandra L. McLellan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, United States of America
| | - Troy D. Rutter
- U.S. Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin, United States of America
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3
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Cyterski M, Shanks OC, Wanjugi P, McMinn B, Korajkic A, Oshima K, Haugland R. Bacterial and viral fecal indicator predictive modeling at three Great Lakes recreational beach sites. WATER RESEARCH 2022; 223:118970. [PMID: 35985141 PMCID: PMC9724166 DOI: 10.1016/j.watres.2022.118970] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 06/15/2023]
Abstract
Coliphage are viruses that infect Escherichia coli (E. coli) and may indicate the presence of enteric viral pathogens in recreational waters. There is an increasing interest in using these viruses for water quality monitoring and forecasting; however, the ability to use statistical models to predict the concentrations of coliphage, as often done for cultured fecal indicator bacteria (FIB) such as enterococci and E. coli, has not been widely assessed. The same can be said for FIB genetic markers measured using quantitative polymerase chain reaction (qPCR) methods. Here we institute least-angle regression (LARS) modeling of previously published concentrations of cultured FIB (E. coli, enterococci) and coliphage (F+, somatic), along with newly reported genetic concentrations measured via qPCR for E. coli, enterococci, and general Bacteroidales. We develop site-specific models from measures taken at three beach sites on the Great Lakes (Grant Park, South Milwaukee, WI; Edgewater Beach, Cleveland, OH; Washington Park, Michigan City, IN) to investigate the efficacy of a statistical predictive modeling approach. Microbial indicator concentrations were measured in composite water samples collected five days per week over a beach season (∼15 weeks). Model predictive performance (cross-validated standardized root mean squared error of prediction [SRMSEP] and R2PRED) were examined for seven microbial indicators (using log10 concentrations) and water/beach parameters collected concurrently with water samples. Highest predictive performance was seen for qPCR-based enterococci and Bacteroidales models, with F+ coliphage consistently yielding poor performing models. Influential covariates varied by microbial indicator and site. Antecedent rainfall, bird abundance, wave height, and wind speed/direction were most influential across all models. Findings suggest that some fecal indicators may be more suitable for water quality forecasting than others at Great Lakes beaches.
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Affiliation(s)
- Mike Cyterski
- U.S. Environmental Protection Agency, Office of Research and Development, Athens, GA, 30605, United States.
| | - Orin C Shanks
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, United States
| | - Pauline Wanjugi
- New York State Department of Health, Center for Environmental Health, Bureau of Water Supply Protection, New York City Watershed Section, Albany, NY 12201, United States
| | - Brian McMinn
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, United States
| | - Asja Korajkic
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, United States
| | - Kevin Oshima
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, United States
| | - Rich Haugland
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH 45268, United States
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4
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Chern EC, Wymer L, Brenner K, Oshima K, Haugland RA. Persistence of fecal indicator bacteria and associated genetic markers from wastewater treatment plant effluents in freshwater microcosms. JOURNAL OF WATER AND HEALTH 2022; 20:205-215. [PMID: 35100168 PMCID: PMC9000909 DOI: 10.2166/wh.2021.152] [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: 06/14/2023]
Abstract
Limited information exists on the environmental persistence of genetic markers for fecal indicator bacteria (FIB) in treated wastewaters. Here, the decay rate constants of culturable cells and genetic markers for four diverse groups of FIBs, such as enterococci, Clostridium, Escherichia coli, and Bacteroides, were investigated in freshwater microcosms seeded with disinfected and non-disinfected secondary-treated wastewaters. Decay rate constants of genetic markers and culturable cells varied significantly among the different FIB groups. Water temperatures (winter vs. fall/spring/summer) significantly affected the decay of all genetic marker and cell types; however, genetic marker decay were not found to be significantly different in disinfected (chlorination/ultraviolet) and non-disinfected wastewater-seeded microcosms or, for example, lake- and river-receiving waters. No evidence was seen that decay rate constants of FIB genetic markers from treated wastewater were substantially different from those observed in similar, previously reported microcosm studies using raw sewage. Unexpected relationships between decay rate constants of genetic markers and culturable cells of Bacteroides were observed. Results suggest that decay rate constants of FIB genetic markers determined from other studies may be applicable to treated wastewaters. Results of this study should be informative for ongoing efforts to determine the persistence of FIB genetic markers relative to surviving pathogens after wastewater treatment.
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Affiliation(s)
- Eunice C Chern
- U.S. Environmental Protection Agency, Region 10 Laboratory, 7411 Beach Dr. E., Port Orchard, WA 98366, USA E-mail:
| | - Larry Wymer
- U.S. Environmental Protection Agency, Office of Research and Development, U.S. Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268, USA
| | - Kristen Brenner
- U.S. Environmental Protection Agency, Office of Research and Development, U.S. Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268, USA
| | - Kevin Oshima
- U.S. Environmental Protection Agency, Office of Research and Development, U.S. Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268, USA
| | - Richard A Haugland
- U.S. Environmental Protection Agency, Office of Research and Development, U.S. Environmental Protection Agency, 26 W. Martin Luther King Dr., Cincinnati, OH 45268, USA
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5
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Lane MJ, Rediske RR, McNair JN, Briggs S, Rhodes G, Dreelin E, Sivy T, Flood M, Scull B, Szlag D, Southwell B, Isaacs NM, Pike S. A comparison of E. coli concentration estimates quantified by the EPA and a Michigan laboratory network using EPA Draft Method C. J Microbiol Methods 2020; 179:106086. [PMID: 33058947 DOI: 10.1016/j.mimet.2020.106086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 10/09/2020] [Accepted: 10/09/2020] [Indexed: 01/15/2023]
Abstract
We evaluated data from 10 laboratories that analyzed water samples from 82 recreational water sites across the state of Michigan between 2016 and 2018. Water sample replicates were analyzed by experienced U.S. Environmental Protection Agency (EPA) analysts and Michigan laboratories personnel, many of whom were newly trained, using EPA Draft Method C-a rapid quantitative polymerase chain reaction (qPCR) technique that provides same day Escherichia coli (E. coli) concentration results. Beach management decisions (i.e. remain open or issue an advisory or closure) based on E. coli concentration estimates obtained by Michigan labs and by the EPA were compared; the beach management decision agreed in 94% of the samples analyzed. We used the Wilcoxon one-sample signed rank test and nonparametric quantile regression to assess (1) the degree of agreement between E. coli concentrations quantified by Michigan labs versus the EPA and (2) Michigan lab E. coli measurement precision, relative to EPA results, in different years and water body types. The median quantile regression curve for Michigan labs versus EPA approximated the 1:1 line of perfect agreement more closely as years progressed. Similarly, Michigan lab E. coli estimates precision also demonstrated yearly improvements. No meaningful difference was observed in the degree of association between Michigan lab and EPA E. coli concentration estimates for inland lake and Great Lakes samples (median regression curve average slopes 0.93 and 0.95, respectively). Overall, our study shows that properly trained laboratory personnel can perform Draft Method C to a degree comparable with experienced EPA analysts. This allows health departments that oversee recreational water quality monitoring to be confident in qPCR results generated by the local laboratories responsible for analyzing the water samples.
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Affiliation(s)
- Molly J Lane
- Annis Water Resources Institute, Grand Valley State University, 1 Campus Dr., Allendale, MI 49401, USA.
| | - Richard R Rediske
- Annis Water Resources Institute, Grand Valley State University, 1 Campus Dr., Allendale, MI 49401, USA.
| | - James N McNair
- Annis Water Resources Institute, Grand Valley State University, 1 Campus Dr., Allendale, MI 49401, USA.
| | - Shannon Briggs
- Michigan Department of Environment, Great Lakes and Energy (EGLE), 525 W. Allegan St., Lansing, MI 48909, USA.
| | - Geoff Rhodes
- Michigan Department of Environment, Great Lakes and Energy (EGLE), 525 W. Allegan St., Lansing, MI 48909, USA.
| | - Erin Dreelin
- Michigan State University, Department of Fisheries and Wildlife, Natural Resource Building, 420 Wilson Rd, Room 13, East Lansing, MI 48824, USA.
| | - Tami Sivy
- Saginaw Valley State University, Department of Chemistry, 7400 Bay Road, University Center, MI 48710, USA.
| | - Matthew Flood
- Michigan State University, Department of Fisheries and Wildlife, Natural Resource Building, 420 Wilson Rd, Room 13, East Lansing, MI 48824, USA.
| | - Brian Scull
- Annis Water Resources Institute, Grand Valley State University, 1 Campus Dr., Allendale, MI 49401, USA.
| | - David Szlag
- Oakland University, Department of Chemistry, 146 Library Dr., Rochester, MI 48309, USA.
| | - Benjamin Southwell
- Lake Superior State University, 650 W Easterday Ave., Sault Ste Marie, MI 49783, USA.
| | - Natasha M Isaacs
- U.S. Geological Survey (USGS), Upper Midwest Water Science Center, 5840 Enterprise Dr., Lansing, MI 48911, USA.
| | - Schuyler Pike
- Ferris State University, Shimadzu Core Laboratory for Academic and Research Excellence, 820 Campus Dr., Big Rapids, MI 49307, USA.
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6
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Holcomb DA, Stewart JR. Microbial Indicators of Fecal Pollution: Recent Progress and Challenges in Assessing Water Quality. Curr Environ Health Rep 2020; 7:311-324. [PMID: 32542574 PMCID: PMC7458903 DOI: 10.1007/s40572-020-00278-1] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW Fecal contamination of water is a major public health concern. This review summarizes recent developments and advancements in water quality indicators of fecal contamination. RECENT FINDINGS This review highlights a number of trends. First, fecal indicators continue to be a valuable tool to assess water quality and have expanded to include indicators able to detect sources of fecal contamination in water. Second, molecular methods, particularly PCR-based methods, have advanced considerably in their selected targets and rigor, but have added complexity that may prohibit adoption for routine monitoring activities at this time. Third, risk modeling is beginning to better connect indicators and human health risks, with the accuracy of assessments currently tied to the timing and conditions where risk is measured. Research has advanced although challenges remain for the effective use of both traditional and alternative fecal indicators for risk characterization, source attribution and apportionment, and impact evaluation.
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Affiliation(s)
- David A Holcomb
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr., Chapel Hill, NC, 27599-7435, USA
| | - Jill R Stewart
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr., Chapel Hill, NC, 27599-7431, USA.
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7
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Lee S, Khoo VSL, Medriano CAD, Lee T, Park SY, Bae S. Rapid and in-situ detection of fecal indicator bacteria in water using simple DNA extraction and portable loop-mediated isothermal amplification (LAMP) PCR methods. WATER RESEARCH 2019; 160:371-379. [PMID: 31163314 DOI: 10.1016/j.watres.2019.05.049] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 04/19/2019] [Accepted: 05/17/2019] [Indexed: 05/02/2023]
Abstract
Contamination of water by fecal matter and potential human enteric pathogens is a serious health concern. Microbiological water quality has been assessed by conventional culture-based methods of fecal indicator bacteria (FIB). Recently, molecular techniques for FIB have been introduced as alternative tools for rapid detection. However, such molecular techniques require a modern laboratory setting, expensive equipment, and skilled personnel. In this study, we developed a simple and rapid DNA extraction method based on a syringe filter without any specialized equipment. Furthermore, loop-mediated isothermal amplification (LAMP) PCR for fecal indicator bacteria (FIB) (i.e. E. coli and E. faecalis) was carried out using the DNA extracts from the syringe-filter based DNA extraction method. The efficiency of the extracted DNA from the syringe-filter based method was comparable to the results of the commercial kit method. We also tested fresh and marine-water collected directly from different locations in Singapore that were spiked with E. coli or E. faecalis. The LAMP assays combined with our DNA extraction method showed higher sensitivity and more tolerance to PCR inhibitors than that of conventional PCR methods. We further developed a portable LAMP device to conduct isothermal PCR reactions for rapid on-site measurement of FIB. As the color changes in the end point of the LAMP reaction can be observed with the naked eye, the portable LAMP device was easily operated and quick, obtaining results in 30 min. The simple, portable and user-friendly platform can be used as an initial screening for the rapid detection of the presence FIB in lower-resource settings. In conclusion, the portable LAMP device coupled with a syringe-filter based DNA extraction method enables us to detect the presence of FIB for assessing microbial water quality within 1 h without any sophisticated laboratory equipment or highly trained personnel.
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Affiliation(s)
- Seunguk Lee
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore
| | - Valerie Si Ling Khoo
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore
| | | | - Taewoo Lee
- Department of Mechanical Engineering, National University of Singapore, Singapore
| | - Sung-Yong Park
- Department of Mechanical Engineering, National University of Singapore, Singapore
| | - Sungwoo Bae
- Department of Civil and Environmental Engineering, National University of Singapore, Singapore.
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8
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Nappier SP, Ichida A, Jaglo K, Haugland R, Jones KR. Advancements in mitigating interference in quantitative polymerase chain reaction (qPCR) for microbial water quality monitoring. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 671:732-740. [PMID: 30939326 PMCID: PMC6555561 DOI: 10.1016/j.scitotenv.2019.03.242] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 02/13/2019] [Accepted: 03/15/2019] [Indexed: 05/31/2023]
Abstract
The United States Environmental Protection Agency's (EPA)1 2012 Recreational Water Quality Criteria included an Enterococcus spp. quantitative polymerase chain reaction (qPCR) method as a supplemental indicator-method. In 2012, performance of qPCR for beach monitoring remained limited, specifically with addressing interference. A systematic literature search of peer-reviewed publications was conducted to identify where Enterococcus spp. and E. coli qPCR methods have been applied in ambient waters. In the present study, we evaluated interference rates, contributing factors resulting in increased interference in these methods, and method improvements that reduced interference. Information on qPCR methods of interest and interference controls were reported in 16 papers for Enterococcus spp. and 13 papers for E. coli. Of the Enterococcus spp. qPCR methods assessed in this effort, the lowest frequencies of interference were reported in samples using Method 1609. Low frequencies of sample interference were also reported EPA's modified E. coli qPCR method, which incorporates the same reagents and interference controls as Method 1609. The literature indicates that more work is needed to demonstrate the utility of E. coli qPCR for widespread beach monitoring purposes, whereas more broad use of Method 1609 for Enterococcus spp. is appropriate when the required and suggested controls are employed.
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Affiliation(s)
- Sharon P Nappier
- U.S. Environmental Protection Agency, Office of Water, Office of Science and Technology, 1200 Pennsylvania Avenue, NW, Washington, DC 20460, USA.
| | | | | | - Rich Haugland
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Cincinnati, USA
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9
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Sivaganesan M, Aw TG, Briggs S, Dreelin E, Aslan A, Dorevitch S, Shrestha A, Isaacs N, Kinzelman J, Kleinheinz G, Noble R, Rediske R, Scull B, Rosenberg S, Weberman B, Sivy T, Southwell B, Siefring S, Oshima K, Haugland R. Standardized data quality acceptance criteria for a rapid Escherichia coli qPCR method (Draft Method C) for water quality monitoring at recreational beaches. WATER RESEARCH 2019; 156:456-464. [PMID: 30952079 PMCID: PMC9943056 DOI: 10.1016/j.watres.2019.03.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 03/05/2019] [Accepted: 03/12/2019] [Indexed: 05/31/2023]
Abstract
There is growing interest in the application of rapid quantitative polymerase chain reaction (qPCR) and other PCR-based methods for recreational water quality monitoring and management programs. This interest has strengthened given the publication of U.S. Environmental Protection Agency (EPA)-validated qPCR methods for enterococci fecal indicator bacteria (FIB) and has extended to similar methods for Escherichia coli (E. coli) FIB. Implementation of qPCR-based methods in monitoring programs can be facilitated by confidence in the quality of the data produced by these methods. Data quality can be determined through the establishment of a series of specifications that should reflect good laboratory practice. Ideally, these specifications will also account for the typical variability of data coming from multiple users of the method. This study developed proposed standardized data quality acceptance criteria that were established for important calibration model parameters and/or controls from a new qPCR method for E. coli (EPA Draft Method C) based upon data that was generated by 21 laboratories. Each laboratory followed a standardized protocol utilizing the same prescribed reagents and reference and control materials. After removal of outliers, statistical modeling based on a hierarchical Bayesian method was used to establish metrics for assay standard curve slope, intercept and lower limit of quantification that included between-laboratory, replicate testing within laboratory, and random error variability. A nested analysis of variance (ANOVA) was used to establish metrics for calibrator/positive control, negative control, and replicate sample analysis data. These data acceptance criteria should help those who may evaluate the technical quality of future findings from the method, as well as those who might use the method in the future. Furthermore, these benchmarks and the approaches described for determining them may be helpful to method users seeking to establish comparable laboratory-specific criteria if changes in the reference and/or control materials must be made.
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Affiliation(s)
- Mano Sivaganesan
- U.S. Environmental Protection Agency, National Risk Management Research Laboratory, 26 W. M.L. King Dr, Cincinnati, OH, 45268, USA
| | - Tiong Gim Aw
- Department of Global Environmental Health Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2100, New Orleans, LA, 70112, USA
| | - Shannon Briggs
- Water Resources Division, Michigan Department of Environmental Quality, P. O. Box 30458, 525 West Allegan Street, Lansing, MI, 48909, USA
| | - Erin Dreelin
- Center for Water Sciences, Michigan State University, 1405 South Harrison Road, East Lansing, MI, 48823, USA
| | - Asli Aslan
- Georgia Southern University, Department of Environmental Health Sciences, 501 Forest Drive, Statesboro, GA, 30458, USA
| | - Samuel Dorevitch
- University of Illinois at Chicago, School of Public Health, 2121 W. Taylor Street, Chicago, IL, 60612, USA
| | - Abhilasha Shrestha
- University of Illinois at Chicago, School of Public Health, 2121 W. Taylor Street, Chicago, IL, 60612, USA
| | - Natasha Isaacs
- U.S. Geological Survey, Upper Midwest Water Science Center, 6520 Mercantile Way, Ste 5, Lansing, MI, 48911, USA
| | - Julie Kinzelman
- City of Racine Public Health Department, 730 Washington Ave, Racine, WI, 53403, USA
| | - Greg Kleinheinz
- University of Wisconsin-Oshkosh, Environmental Research Laboratory, 800 Algoma Boulevard, Oshkosh, WI, 54901, USA
| | - Rachel Noble
- Institute of Marine Sciences, University of North Carolina at Chapel Hill, 3431 Arendell Street, Morehead City, NC, 28557, USA
| | - Rick Rediske
- Annis Water Resources Institute, Lake Michigan Center, 740 W. Shoreline Dr, Muskegon, MI, 49441, USA
| | - Brian Scull
- Annis Water Resources Institute, Lake Michigan Center, 740 W. Shoreline Dr, Muskegon, MI, 49441, USA
| | - Susan Rosenberg
- Oakland County Health Division Laboratory, 1200 N. Telegraph, Pontiac, MI, 48341, USA
| | - Barbara Weberman
- Oakland County Health Division Laboratory, 1200 N. Telegraph, Pontiac, MI, 48341, USA
| | - Tami Sivy
- Saginaw Valley State University, Department of Chemistry, 7400 Bay Road, University Center, MI, 48710, USA
| | - Ben Southwell
- Lake Superior State University, Environmental Analysis Laboratory, 650 W. Easterday Ave, Sault Ste Marie, MI, 49783, USA
| | - Shawn Siefring
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 26 W. M.L. King Dr, Cincinnati, OH, 45268, USA
| | - Kevin Oshima
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 26 W. M.L. King Dr, Cincinnati, OH, 45268, USA
| | - Richard Haugland
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 26 W. M.L. King Dr, Cincinnati, OH, 45268, USA.
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10
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Shrestha A, Dorevitch S. Evaluation of rapid qPCR method for quantification of E. coli at non-point source impacted Lake Michigan beaches. WATER RESEARCH 2019; 156:395-403. [PMID: 30933697 DOI: 10.1016/j.watres.2019.03.034] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Revised: 03/06/2019] [Accepted: 03/18/2019] [Indexed: 06/09/2023]
Abstract
Most Great Lakes communities rely on culture-based E. coli methods for monitoring fecal indicator bacteria (FIB) at recreational beaches. These cultivation methods require 18 or more hours to generate results. As a consequence, public notifications about beach action value (BAV) exceedance are based on prior-day water quality. Rapid qPCR monitoring of bacteria in beach water solves the 24-h delay problem, though the USEPA-approved qPCR method targets enterococci bacteria, while Great Lakes communities are familiar with E. coli monitoring. For an E. coli qPCR method to be useful for water quality management, it is important to systematically characterize method performance, and establish BAVs for public notification purposes. In this study, we 1) evaluated a draft USEPA E. coli qPCR method, 2) compared E. coli qPCR measurements with two established FIB (E. coli culture and enterococci qPCR) results, and explored potential strategies to establish E. coli qPCR BAV criteria in the absence of an epidemiological study. Based on analyses of 288 water samples collected from eight of Chicago's Lake Michigan beaches, the E. coli qPCR method demonstrates acceptable performance characteristics. The method is prone to low level DNA contamination, possibly originating from assay reagents derived from E. coli bacteria. Both E. coli and enterococci BAVs were exceeded in approximately 18% of the samples. E. coli qPCR values were correlated with both E. coli culture (r = 0.83; p < 0.0001) and enterococci qPCR (r = 0.67; p < 0.0001) values. The approach recommended by the USEPA in its Technical Support Material (TSM) was used to generate candidate E. coli qPCR BAVs, as was receiver operating characteristic (ROC) analysis. Potential BAV thresholds differed substantially, ranging from 200.9 calibrator cell equivalents (CCE)/100 mL (ROC analysis, enterococci qPCR BAV as the reference) to 1000 CCE/100 mL (TSM analysis, enterococci qPCR BAV as the reference). Because we found that different approaches to establishing potential BAVs generate quite different values, guidance from USEPA about approaches to defining comparable BAVs would be useful.
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Affiliation(s)
- Abhilasha Shrestha
- Division of Environmental and Occupational Health Sciences, University of Illinois at Chicago School of Public Health, USA.
| | - Samuel Dorevitch
- Division of Environmental and Occupational Health Sciences, University of Illinois at Chicago School of Public Health, USA
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Yee RA, Leifels M, Scott C, Ashbolt NJ, Liu Y. Evaluating Microbial and Chemical Hazards in Commercial Struvite Recovered from Wastewater. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:5378-5386. [PMID: 30964655 DOI: 10.1021/acs.est.8b03683] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Controlled struvite (NH4MgPO4·6H2O) precipitation has become a well-known process for nutrient recovery from wastewater treatment systems to alleviate the pressures of diminishing, finite rock phosphate reservoirs. Nonetheless, coprecipitation of potential microbial and chemical hazards is poorly understood. On the other hand, antimicrobial resistance (AMR) is a major global public health concern and wastewater is thought to disseminate resistance genes within bacteria. Fecal indicator bacteria (FIB) are typically used as measures of treatment quality, and with multiresistant E. coli and Enterococcus spp. rising in concern, the quantification of FIB can be used as a preliminary method to assess the risk of AMR. Focusing on struvite produced from full-scale operations, culture and qPCR methods were utilized to identify FIB, antibiotic resistance genes, and human enteric viruses in the final product. Detection of these hazards occurred in both wet and dry struvite samples indicating that there is a potential risk that needs further consideration. Chemical and biological analyses support the idea that the presence of other wastewater components can impact struvite formation through ion and microbial interference. While heavy metal concentrations met current fertilizer standards, the presence of K, Na, Ca, and Fe ions can impact struvite purity yet provide benefit for agricultural uses. Additionally, the quantified hazards detected varied among struvite samples produced from different methods and sources, thus indicating that production methods could be a large factor in the risk associated with wastewater-recovered struvite. In all, coprecipitation of metals, fecal indicator bacteria, antimicrobial resistance genes, and human enteric viruses with struvite was shown to be likely, and future engineered wastewater systems producing struvite may require additional step(s) to manage these newly identified public health risks.
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Affiliation(s)
- Rachel A Yee
- Department of Civil and Environmental Engineering , University of Alberta , Edmonton , Alberta T6G 2R3 , Canada
| | - Mats Leifels
- Centre for Water and Environmental Research (ZWU) , University Duisburg-Essen , Essen , 47057 , Germany
- School of Public Health , University of Alberta , Edmonton , Alberta T6G 2R3 , Canada
| | - Candis Scott
- School of Public Health , University of Alberta , Edmonton , Alberta T6G 2R3 , Canada
| | - Nicholas J Ashbolt
- School of Public Health , University of Alberta , Edmonton , Alberta T6G 2R3 , Canada
| | - Yang Liu
- Department of Civil and Environmental Engineering , University of Alberta , Edmonton , Alberta T6G 2R3 , Canada
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12
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Aslan A, Anderson KW, Chapman A. The Impact of Tides on Microbial Water Quality at an Inland River Beach. JOURNAL OF ENVIRONMENTAL QUALITY 2018; 47:1123-1129. [PMID: 30272796 DOI: 10.2134/jeq2017.12.0499] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Most coastal freshwater ecosystems in the United States have semi-tidal movements during the day. Routine monitoring of these environments is conducted once during the day when tides can be at either ebb or flood conditions, causing a variability in bacterial concentrations and misinterpretation of the illness risk associated with human activities. The occurrence and levels of enterococci (enterococci 23S rDNA [Ent23S]) and human- (HF183) and avian- (GFD) associated microbial source tracking (MST) markers were investigated using quantitative polymerase chain reaction (qPCR) along with detection of culturable enterococci and environmental parameters. Samples were collected during flood and ebb tide conditions (May-September) from a tidal river used for recreational activities. Culturable enterococci [(420) = 2.093, = 0.040] and Ent23S [(420) = 2.243, = 0.028] controlled for tide type were significantly different; higher enterococci concentrations were detected during the flood tide. Among all samples, 6% were positive for HF183, and GFD was positively correlated with Ent23S ( = 0.92, = 0.029) and conductivity ( = 0.93, = 0.023) during flood tide. Unlike the general assumption that ebb tide flow in a river would likely carry runoff from the land, the microbial contaminants in this case were transported from upstream via ocean water to the river during the flood tide. These results suggest that hydrology and land use patterns must be considered in sampling design when conducting future microbial water quality monitoring programs to better characterize recreational water safety in tidal rivers.
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13
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Sivaganesan M, Varma M, Siefring S, Haugland R. Quantification of plasmid DNA standards for U.S. EPA fecal indicator bacteria qPCR methods by droplet digital PCR analysis. J Microbiol Methods 2018; 152:135-142. [PMID: 30017849 DOI: 10.1016/j.mimet.2018.07.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 07/10/2018] [Accepted: 07/10/2018] [Indexed: 10/28/2022]
Abstract
An obstacle to establishing widely useful data acceptance criteria for U.S. Environmental Protection Agency (EPA) qPCR methods has been the unavailability of standardized reference materials. Earlier versions of EPA Methods 1609 and 1611 for enterococci used cellular reference materials for quantifying enterococci in unknown test samples, however, EPA updates to these fundamentally DNA-based analysis methods have shifted toward the use of DNA standards. This report describes the application of droplet digital PCR (ddPCR) analysis for the quantification of a set of synthetic plasmid DNA standards that have been made available for updated EPA Methods 1609.1 and 1611.1 as well as for EPA Draft Method C for Escherichia coli. To obtain the most accurate concentration estimates possible, part of this effort was to develop a data analysis model for determining the fluorescence thresholds that distinguish positive from negative droplets produced by the ddPCR reactions. Versions of this model are described for applications with individual reactions, multiple reactions within a ddPCR system run, and multiple reactions within and across different system runs. The latter version was applied toward determinations of error in the concentration estimates of the standards from replicate analyses of each standard in multiple ddPCR system runs. Mean concentration estimates for the five standards from the ddPCR analyses were 4.356, 3.381, 2.371, 1.641 and 1.071 log10 copies/5 μL with associated standard deviations of 0.074, 0.082, 0.108, 0.131 and 0.188, respectively. These estimates contrasted with expected log10 concentrations of 4.6, 3.6, 2.6, 1.9 and 1.3 copies/5 μL, respectively, based on the yield of the plasmid reported by the vendor and spectrophotometric analysis of the initial stock solution of this material. These results illustrate how the analyses of original stocks may lead to potential bias(es) in the concentration estimates of final DNA standards and subsequently in the estimates of unknown test samples determined from these standards in qPCR analyses.
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Affiliation(s)
- Mano Sivaganesan
- U.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory, 26 W. M.L. King Dr., Cincinnati, OH, United States
| | - Manju Varma
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 26 W. M.L. King Dr., Cincinnati, OH, United States
| | - Shawn Siefring
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 26 W. M.L. King Dr., Cincinnati, OH, United States
| | - Richard Haugland
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 26 W. M.L. King Dr., Cincinnati, OH, United States.
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14
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Dorevitch S, Shrestha A, DeFlorio-Barker S, Breitenbach C, Heimler I. Monitoring urban beaches with qPCR vs. culture measures of fecal indicator bacteria: Implications for public notification. Environ Health 2017; 16:45. [PMID: 28499453 PMCID: PMC5429575 DOI: 10.1186/s12940-017-0256-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 05/08/2017] [Indexed: 05/08/2023]
Abstract
BACKGROUND The United States Environmental Protection Agency has established methods for testing beach water using the rapid quantitative polymerase chain reaction (qPCR) method, as well as "beach action values" so that the results of such testing can be used to make same-day beach management decisions. Despite its numerous advantages over culture-based monitoring approaches, qPCR monitoring has yet to become widely used in the US or elsewhere. Considering qPCR results obtained on a given day as the best available measure of that day's water quality, we evaluated the frequency of correct vs. incorrect beach management decisions that are driven by culture testing. METHODS Beaches in Chicago, USA, were monitored using E. coli culture and enterococci qPCR methods over 894 beach-days in the summers of 2015 and 2016. Agreement in beach management using the two methods, after taking into account agreement due to chance, was summarized using Cohen's kappa statistic. RESULTS No meaningful agreement (beyond that expected by chance) was observed between beach management actions driven by the two pieces of information available to beach managers on a given day: enterococci qPCR results ofsamples collected that morning and E. coli culture results of samples collected the previous day. The E. coli culture beach action value was exceeded 3.4 times more frequently than the enterococci qPCR beach action value (22.6 vs. 6.6% of beach-days). CONCLUSIONS The largest evaluation of qPCR-based beach monitoring to date provides little scientific rationale for continued E. coli culture testing of beach water in our setting. The observation that the E. coli culture beach action value was exceeded three times as frequently as the enterococci qPCR beach action value suggests that, although the beach action values for bacteria using different measurement methods are thought to provide comparable information about health risk, this does not appear to be the case in all settings.
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Affiliation(s)
- Samuel Dorevitch
- Division of Environmental and Occupational Health Sciences, University of Illinois at Chicago School of Public Health, 2121 W. Taylor St., M/C 922, Chicago, IL 60091 USA
| | - Abhilasha Shrestha
- Division of Environmental and Occupational Health Sciences, University of Illinois at Chicago School of Public Health, 2121 W. Taylor St., M/C 922, Chicago, IL 60091 USA
| | - Stephanie DeFlorio-Barker
- Division of Environmental and Occupational Health Sciences, University of Illinois at Chicago School of Public Health, 2121 W. Taylor St., M/C 922, Chicago, IL 60091 USA
| | | | - Ira Heimler
- Division of Environmental and Occupational Health Sciences, University of Illinois at Chicago School of Public Health, 2121 W. Taylor St., M/C 922, Chicago, IL 60091 USA
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15
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Schang C, Henry R, Kolotelo PA, Prosser T, Crosbie N, Grant T, Cottam D, O’Brien P, Coutts S, Deletic A, McCarthy DT. Evaluation of Techniques for Measuring Microbial Hazards in Bathing Waters: A Comparative Study. PLoS One 2016; 11:e0155848. [PMID: 27213772 PMCID: PMC4877094 DOI: 10.1371/journal.pone.0155848] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Accepted: 05/05/2016] [Indexed: 11/23/2022] Open
Abstract
Recreational water quality is commonly monitored by means of culture based faecal indicator organism (FIOs) assays. However, these methods are costly and time-consuming; a serious disadvantage when combined with issues such as non-specificity and user bias. New culture and molecular methods have been developed to counter these drawbacks. This study compared industry-standard IDEXX methods (Colilert and Enterolert) with three alternative approaches: 1) TECTA™ system for E. coli and enterococci; 2) US EPA’s 1611 method (qPCR based enterococci enumeration); and 3) Next Generation Sequencing (NGS). Water samples (233) were collected from riverine, estuarine and marine environments over the 2014–2015 summer period and analysed by the four methods. The results demonstrated that E. coli and coliform densities, inferred by the IDEXX system, correlated strongly with the TECTA™ system. The TECTA™ system had further advantages in faster turnaround times (~12 hrs from sample receipt to result compared to 24 hrs); no staff time required for interpretation and less user bias (results are automatically calculated, compared to subjective colorimetric decisions). The US EPA Method 1611 qPCR method also showed significant correlation with the IDEXX enterococci method; but had significant disadvantages such as highly technical analysis and higher operational costs (330% of IDEXX). The NGS method demonstrated statistically significant correlations between IDEXX and the proportions of sequences belonging to FIOs, Enterobacteriaceae, and Enterococcaceae. While costs (3,000% of IDEXX) and analysis time (300% of IDEXX) were found to be significant drawbacks of NGS, rapid technological advances in this field will soon see it widely adopted.
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Affiliation(s)
- Christelle Schang
- Environmental and Public Health Microbiology Laboratory (EPHM Lab), Monash University, Clayton, Victoria, Australia
| | - Rebekah Henry
- Environmental and Public Health Microbiology Laboratory (EPHM Lab), Monash University, Clayton, Victoria, Australia
| | - Peter A. Kolotelo
- Environmental and Public Health Microbiology Laboratory (EPHM Lab), Monash University, Clayton, Victoria, Australia
| | | | | | - Trish Grant
- Melbourne Water, Docklands, Victoria, Australia
| | - Darren Cottam
- Environment Protection Authority Victoria, Melbourne, Victoria, Australia
| | - Peter O’Brien
- Mornington Peninsula Shire, Rosebud, Victoria, Australia
| | - Scott Coutts
- Micromon, Monash University, Clayton, Victoria, Australia
| | - Ana Deletic
- Environmental and Public Health Microbiology Laboratory (EPHM Lab), Monash University, Clayton, Victoria, Australia
| | - David T. McCarthy
- Environmental and Public Health Microbiology Laboratory (EPHM Lab), Monash University, Clayton, Victoria, Australia
- * E-mail:
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16
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Wang D, Yamahara KM, Cao Y, Boehm AB. Absolute Quantification of Enterococcal 23S rRNA Gene Using Digital PCR. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2016; 50:3399-408. [PMID: 26903207 DOI: 10.1021/acs.est.5b05747] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
We evaluated the ability of chip-based digital PCR (dPCR) to quantify enterococci, the fecal indicator recommended by the United States Environmental Protection Agency (USEPA) for water-quality monitoring. dPCR uses Poisson statistics to estimate the number of DNA fragments in a sample with a specific sequence. Underestimation may occur when a gene is redundantly encoded in the genome and multiple copies of that gene are on one DNA fragment. When genomic DNA (gDNA) was extracted using two commercial DNA extraction kits, we confirmed that dPCR could discern individual copies of the redundant 23s rRNA gene in the enterococcal genome. dPCR quantification was accurate when compared to the nominal concentration inferred from fluorometer measurements (linear regression slope = 0.98, intercept = 0.03, R(2) = 0.99, and p value <0.0001). dPCR quantification was also consistent with quantitative PCR (qPCR) measurements as well as cell counts for BioBall reference standard and 24 environmental water samples. qPCR and dPCR quantification of enterococci in the 24 environmental samples were significantly correlated (linear regression slope =1.08, R(2) of 0.96, and p value <0.0001); the group mean of the qPCR measurements was 0.19 log units higher than that of the dPCR measurements. At environmentally relevant concentrations, dPCR quantification was more precise (i.e., had narrower 95% confidence intervals than qPCR quantification). We observed that humic acid caused a similar level of inhibition in both dPCR and qPCR, but calcium inhibited dPCR to a lesser degree than qPCR. Inhibition of dPCR was partially relieved when the number of thermal cycles was increased. Based on these results, we conclude that dPCR is a viable option for enumerating enterococci in ambient water.
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Affiliation(s)
- Dan Wang
- Environmental and Water Studies, Department of Civil and Environmental Engineering, Stanford University , Stanford, California 94305, United States
| | - Kevan M Yamahara
- Environmental and Water Studies, Department of Civil and Environmental Engineering, Stanford University , Stanford, California 94305, United States
| | - Yiping Cao
- Southern California Coastal Water Research Project Authority , Costa Mesa, California 92626, United States
| | - Alexandria B Boehm
- Environmental and Water Studies, Department of Civil and Environmental Engineering, Stanford University , Stanford, California 94305, United States
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17
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Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters. J Microbiol Methods 2016; 123:114-25. [DOI: 10.1016/j.mimet.2016.01.017] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Revised: 01/31/2016] [Accepted: 01/31/2016] [Indexed: 11/22/2022]
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18
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Oliver DM, Hanley ND, van Niekerk M, Kay D, Heathwaite AL, Rabinovici SJM, Kinzelman JL, Fleming LE, Porter J, Shaikh S, Fish R, Chilton S, Hewitt J, Connolly E, Cummins A, Glenk K, McPhail C, McRory E, McVittie A, Giles A, Roberts S, Simpson K, Tinch D, Thairs T, Avery LM, Vinten AJA, Watts BD, Quilliam RS. Molecular tools for bathing water assessment in Europe: Balancing social science research with a rapidly developing environmental science evidence-base. AMBIO 2016; 45:52-62. [PMID: 26392185 PMCID: PMC4709354 DOI: 10.1007/s13280-015-0698-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2015] [Revised: 08/27/2015] [Accepted: 09/04/2015] [Indexed: 05/03/2023]
Abstract
The use of molecular tools, principally qPCR, versus traditional culture-based methods for quantifying microbial parameters (e.g., Fecal Indicator Organisms) in bathing waters generates considerable ongoing debate at the science-policy interface. Advances in science have allowed the development and application of molecular biological methods for rapid (~2 h) quantification of microbial pollution in bathing and recreational waters. In contrast, culture-based methods can take between 18 and 96 h for sample processing. Thus, molecular tools offer an opportunity to provide a more meaningful statement of microbial risk to water-users by providing near-real-time information enabling potentially more informed decision-making with regard to water-based activities. However, complementary studies concerning the potential costs and benefits of adopting rapid methods as a regulatory tool are in short supply. We report on findings from an international Working Group that examined the breadth of social impacts, challenges, and research opportunities associated with the application of molecular tools to bathing water regulations.
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Affiliation(s)
- David M Oliver
- Biological & Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK.
| | - Nick D Hanley
- Department of Geography & Sustainable Development, University of St Andrews, St Andrews, KY16 9AL, UK.
| | - Melanie van Niekerk
- Biological & Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK.
| | - David Kay
- Centre for Research into Environment & Health, Aberystwyth University, Wales, SA48 8HU, UK.
| | | | | | - Julie L Kinzelman
- City of Racine Health Department Laboratory, 730 Washington Avenue, Racine, WI, 53403, USA.
| | - Lora E Fleming
- European Centre for Environment & Human Health, University of Exeter Medical School, Truro Cornwall, TR1 3HD, UK.
| | - Jonathan Porter
- National Laboratory Service, Environment Agency, Starcross, Devon, EX6 8FD, UK.
| | - Sabina Shaikh
- University of Chicago, 5828 S University Avenue, Pick 121, Chicago, IL, 60637, USA.
| | - Rob Fish
- School of Anthropology and Conservation, University of Kent, Canterbury, CT2 7NR, UK.
| | - Sue Chilton
- Newcastle University Business School, Newcastle upon Tyne, NE1 4SE, UK.
| | - Julie Hewitt
- United States Environmental Protection Agency, Economic and Environmental Assessment Branch, Office of Science and Technology, Office of Water, Washington, DC, USA.
| | - Elaine Connolly
- Department for Environment Food and Rural Affairs, Nobel House, 17 Smith Square, London, SW1P 3JR, UK.
| | - Andy Cummins
- Surfers Against Sewage, Unit 2, Wheal Kitty Workshops, St Agnes, Cornwall, TR5 0RD, UK.
| | - Klaus Glenk
- Land Economy, Environment & Society, Scotland's Rural College (SRUC), Edinburgh, EH9 3JG, UK.
| | - Calum McPhail
- Scottish Environment Protection Agency, Eurocentral, North Lanarkshire, ML1 4WQ, UK.
| | - Eric McRory
- Scottish Environment Protection Agency, Stirling, FK9 4TZ, UK.
| | - Alistair McVittie
- Land Economy, Environment & Society, Scotland's Rural College (SRUC), Edinburgh, EH9 3JG, UK.
| | - Amanna Giles
- Environment Agency, Horizon House, Deanery Road, Bristol, BS1 5AH, UK.
| | - Suzanne Roberts
- Keep Scotland Beautiful, Glendevon House, Castle Business Park, Stirling, FK9 4TZ, UK.
| | - Katherine Simpson
- Economics, Stirling Management School, University of Stirling, Stirling, FK9 4LA, UK.
| | - Dugald Tinch
- School of Economics & Finance, University of Tasmania, Hobart, Australia.
| | - Ted Thairs
- UK Water Industry Research Ltd, 8th Floor, 50 Broadway, London, SW1H 0RG, UK.
| | - Lisa M Avery
- Environmental & Biochemical Sciences, James Hutton Institute, Craigiebuckler, Aberdeen, AB15 8QH, Scotland, UK.
| | - Andy J A Vinten
- Social, Economic & Geographical Sciences, James Hutton Institute, Craigiebuckler, Aberdeen, AB15 8QH, Scotland, UK.
| | - Bill D Watts
- Institute of Environment, Health & Societies, Brunel University, London, UK.
| | - Richard S Quilliam
- Biological & Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK.
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Paar J, Doolittle MM, Varma M, Siefring S, Oshima K, Haugland RA. Development and evaluation of a culture-independent method for source determination of fecal wastes in surface and storm waters using reverse transcriptase-PCR detection of FRNA coliphage genogroup gene sequences. J Microbiol Methods 2015; 112:28-35. [PMID: 25744574 DOI: 10.1016/j.mimet.2015.02.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2014] [Revised: 02/28/2015] [Accepted: 02/28/2015] [Indexed: 10/23/2022]
Abstract
A method, incorporating recently improved reverse transcriptase-PCR primer/probe assays and including controls for detecting interferences in RNA recovery and analysis, was developed for the direct, culture-independent detection of genetic markers from FRNA coliphage genogroups I, II & IV in water samples. Results were obtained from an initial evaluation of the performance of this method in analyses of waste water, ambient surface water and stormwater drain and outfall samples from predominantly urban locations. The evaluation also included a comparison of the occurrence of the FRNA genetic markers with genetic markers from general and human-related bacterial fecal indicators determined by current or pending EPA-validated qPCR methods. Strong associations were observed between the occurrence of the putatively human related FRNA genogroup II marker and the densities of the bacterial markers in the stormwater drain and outfall samples. However fewer samples were positive for FRNA coliphage compared to either the general bacterial fecal indicator or the human-related bacterial fecal indicator markers particularly for ambient water samples. Together, these methods show promise as complementary tools for the identification of contaminated storm water drainage systems as well as the determination of human and non-human sources of contamination.
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Affiliation(s)
- Jack Paar
- U.S. Environmental Protection Agency, New England Regional Laboratory, North Chelmsford, MA, USA
| | - Mark M Doolittle
- ESAT Contractor-TechLaw, Inc., EPA New England Regional Laboratory, North Chelmsford, MA, USA
| | - Manju Varma
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Cincinnati, OH, USA
| | - Shawn Siefring
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Cincinnati, OH, USA
| | - Kevin Oshima
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Cincinnati, OH, USA
| | - Richard A Haugland
- U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Cincinnati, OH, USA.
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Abstract
A relatively short list of reference viral, bacterial and protozoan pathogens appears adequate to assess microbial risks and inform a system-based management of drinking waters. Nonetheless, there are data gaps, e.g. human enteric viruses resulting in endemic infection levels if poorly performing disinfection and/or distribution systems are used, and the risks from fungi. Where disinfection is the only treatment and/or filtration is poor, cryptosporidiosis is the most likely enteric disease to be identified during waterborne outbreaks, but generally non-human-infectious genotypes are present in the absence of human or calf fecal contamination. Enteric bacteria may dominate risks during major fecal contamination events that are ineffectively managed. Reliance on culture-based methods exaggerates treatment efficacy and reduces our ability to identify pathogens/indicators; however, next-generation sequencing and polymerase chain reaction approaches are on the cusp of changing that. Overall, water-based Legionella and non-tuberculous mycobacteria probably dominate health burden at exposure points following the various societal uses of drinking water.
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Affiliation(s)
- Nicholas J. Ashbolt
- School of Public Health, University of Alberta, Edmonton, Room 3-57D, South Academic Building, Alberta, T6G 2G7 Canada
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21
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Mendes Silva D, Domingues L. On the track for an efficient detection of Escherichia coli in water: A review on PCR-based methods. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2015; 113:400-11. [PMID: 25540852 DOI: 10.1016/j.ecoenv.2014.12.015] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Revised: 12/03/2014] [Accepted: 12/08/2014] [Indexed: 05/11/2023]
Abstract
Ensuring water safety is an ongoing challenge to public health providers. Assessing the presence of fecal contamination indicators in water is essential to protect public health from diseases caused by waterborne pathogens. For this purpose, the bacteria Escherichia coli has been used as the most reliable indicator of fecal contamination in water. The methods currently in use for monitoring the microbiological safety of water are based on culturing the microorganisms. However, these methods are not the desirable solution to prevent outbreaks as they provide the results with a considerable delay, lacking on specificity and sensitivity. Moreover, viable but non-culturable microorganisms, which may be present as a result of environmental stress or water treatment processes, are not detected by culture-based methods and, thus, may result in false-negative assessments of E. coli in water samples. These limitations may place public health at significant risk, leading to substantial monetary losses in health care and, additionally, in costs related with a reduced productivity in the area affected by the outbreak, and in costs supported by the water quality control departments involved. Molecular methods, particularly polymerase chain reaction-based methods, have been studied as an alternative technology to overcome the current limitations, as they offer the possibility to reduce the assay time, to improve the detection sensitivity and specificity, and to identify multiple targets and pathogens, including new or emerging strains. The variety of techniques and applications available for PCR-based methods has increased considerably and the costs involved have been substantially reduced, which together have contributed to the potential standardization of these techniques. However, they still require further refinement in order to be standardized and applied to the variety of environmental waters and their specific characteristics. The PCR-based methods under development for monitoring the presence of E. coli in water are here discussed. Special emphasis is given to methodologies that avoid pre-enrichment during the water sample preparation process so that the assay time is reduced and the required legislated sensitivity is achieved. The advantages and limitations of these methods are also reviewed, contributing to a more comprehensive overview toward a more conscious research in identifying E. coli in water.
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Affiliation(s)
- Diana Mendes Silva
- CEB-Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
| | - Lucília Domingues
- CEB-Centre of Biological Engineering, University of Minho, 4710-057 Braga, Portugal.
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