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Schachner-Groehs I, Koller M, Leopold M, Kolm C, Linke RB, Jakwerth S, Kolarević S, Kračun-Kolarević M, Kandler W, Sulyok M, Vierheilig J, Toumi M, Farkas R, Toth E, Kittinger C, Zarfel G, Farnleitner AH, Kirschner AKT. Linking antibiotic resistance gene patterns with advanced faecal pollution assessment and environmental key parameters along 2300 km of the Danube River. WATER RESEARCH 2024; 252:121244. [PMID: 38340455 DOI: 10.1016/j.watres.2024.121244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/19/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024]
Abstract
The global spread of antimicrobial resistance (AMR) in the environment is a growing health threat. Large rivers are of particular concern as they are highly impacted by wastewater discharge while being vital lifelines serving various human needs. A comprehensive understanding of occurrence, spread and key drivers of AMR along whole river courses is largely lacking. We provide a holistic approach by studying spatiotemporal patterns and hotspots of antibiotic resistance genes (ARGs) along 2311 km of the navigable Danube River, combining a longitudinal and temporal monitoring campaign. The integration of advanced faecal pollution diagnostics and environmental and chemical key parameters allowed linking ARG concentrations to the major pollution sources and explaining the observed patterns. Nine AMR markers, including genes conferring resistance to five different antibiotic classes of clinical and environmental relevance, and one integrase gene were determined by probe-based qPCR. All AMR targets could be quantified in Danube River water, with intI1 and sul1 being ubiquitously abundant, qnrS, tetM, blaTEM with intermediate abundance and blaOXA-48like, blaCTX-M-1 group, blaCTX-M-9 group and blaKPC genes with rare occurrence. Human faecal pollution from municipal wastewater discharges was the dominant factor shaping ARG patterns along the Danube River. Other significant correlations of specific ARGs were observed with discharge, certain metals and pesticides. In contrast, intI1 was not associated with wastewater but was already established in the water microbiome. Animal contamination was detected only sporadically and was correlated with ARGs only in the temporal sampling set. During temporal monitoring, an extraordinary hotspot was identified emphasizing the variability within natural waters. This study provides the first comprehensive baseline concentrations of ARGs in the Danube River and lays the foundation for monitoring future trends and evaluating potential reduction measures. The applided holistic approach proved to be a valuable methodological contribution towards a better understanding of the environmental occurrence of AMR.
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Affiliation(s)
- Iris Schachner-Groehs
- Institute of Hygiene and Applied Immunology - Water Microbiology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Kinderspitalgasse 15, Vienna 1090, Austria
| | - Michael Koller
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz, Neue Stiftingtalstraße 6, Graz 8010, Austria
| | - Melanie Leopold
- Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, Krems an der Donau 3500, Austria
| | - Claudia Kolm
- Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, Krems an der Donau 3500, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Microbiology and Molecular Diagnostics, Technische Universität Wien, Gumpendorfer Straße 1A/166, Vienna 1060, Austria
| | - Rita B Linke
- Institute of Chemical, Environmental and Bioscience Engineering, Research Group Microbiology and Molecular Diagnostics, Technische Universität Wien, Gumpendorfer Straße 1A/166, Vienna 1060, Austria
| | - Stefan Jakwerth
- Institute of Hygiene and Applied Immunology - Water Microbiology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Kinderspitalgasse 15, Vienna 1090, Austria
| | - Stoimir Kolarević
- Department of Hydroecology and Water Protection, Institute for Biological Research ¨Siniša Stanković¨, National Institute of the Republic of Serbia, University of Belgrade, Bulevar despota Stefana 142, Belgrade 11060, Serbia
| | - Margareta Kračun-Kolarević
- Department of Hydroecology and Water Protection, Institute for Biological Research ¨Siniša Stanković¨, National Institute of the Republic of Serbia, University of Belgrade, Bulevar despota Stefana 142, Belgrade 11060, Serbia
| | - Wolfgang Kandler
- Department of Agrotechnology (IFA-Tulln), Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences, Konrad-Lorenz-Straße 20, Tulln an der Donau 3430, Austria
| | - Michael Sulyok
- Department of Agrotechnology (IFA-Tulln), Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences, Konrad-Lorenz-Straße 20, Tulln an der Donau 3430, Austria
| | - Julia Vierheilig
- Institute of Water Quality and Resource Management, Technische Universität Wien, Karlsplatz 13/226-1, Wien 1040, Austria
| | - Marwene Toumi
- Department of Microbiology, Eötvös Loránd University, Pázmány Péter sétány 1/C., H-1117, Budapest, Hungary
| | - Rózsa Farkas
- Department of Microbiology, Eötvös Loránd University, Pázmány Péter sétány 1/C., H-1117, Budapest, Hungary
| | - Erika Toth
- Department of Microbiology, Eötvös Loránd University, Pázmány Péter sétány 1/C., H-1117, Budapest, Hungary
| | - Clemens Kittinger
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz, Neue Stiftingtalstraße 6, Graz 8010, Austria
| | - Gernot Zarfel
- Institute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz, Neue Stiftingtalstraße 6, Graz 8010, Austria
| | - Andreas H Farnleitner
- Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, Krems an der Donau 3500, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Microbiology and Molecular Diagnostics, Technische Universität Wien, Gumpendorfer Straße 1A/166, Vienna 1060, Austria.
| | - A K T Kirschner
- Institute of Hygiene and Applied Immunology - Water Microbiology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Kinderspitalgasse 15, Vienna 1090, Austria; Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, Krems an der Donau 3500, Austria.
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Mertens A, Arnold BF, Benjamin-Chung J, Boehm AB, Brown J, Capone D, Clasen T, Fuhrmeister ER, Grembi JA, Holcomb D, Knee J, Kwong LH, Lin A, Luby SP, Nala R, Nelson K, Njenga SM, Null C, Pickering AJ, Rahman M, Reese HE, Steinbaum L, Stewart JR, Thilakaratne R, Cumming O, Colford JM, Ercumen A. Is detection of enteropathogens and human or animal faecal markers in the environment associated with subsequent child enteric infections and growth: an individual participant data meta-analysis. Lancet Glob Health 2024; 12:e433-e444. [PMID: 38365415 PMCID: PMC10882208 DOI: 10.1016/s2214-109x(23)00563-6] [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: 01/06/2023] [Revised: 11/13/2023] [Accepted: 11/28/2023] [Indexed: 02/18/2024]
Abstract
BACKGROUND Quantifying contributions of environmental faecal contamination to child diarrhoea and growth faltering can illuminate causal mechanisms behind modest health benefits in recent water, sanitation, and hygiene (WASH) trials. We aimed to assess associations between environmental detection of enteropathogens and human or animal microbial source tracking markers (MSTM) and subsequent child health outcomes. METHODS In this individual participant data meta-analysis we searched we searched PubMed, Embase, CAB Direct Global Health, Agricultural and Environmental Science Database, Web of Science, and Scopus for WASH intervention studies with a prospective design and concurrent control that measured enteropathogens or MSTM in environmental samples, or both, and subsequently measured enteric infections, diarrhoea, or height-for-age Z-scores (HAZ) in children younger than 5 years. We excluded studies that only measured faecal indicator bacteria. The initial search was done on Jan 19, 2021, and updated on March 22, 2023. One reviewer (AM) screened abstracts, and two independent reviewers (AM and RT) examined the full texts of short-listed articles. All included studies include at least one author that also contributed as an author to the present Article. Our primary outcomes were the 7-day prevalence of caregiver-reported diarrhoea and HAZ in children. For specific enteropathogens in the environment, primary outcomes also included subsequent child infection with the same pathogen ascertained by stool testing. We estimated associations using covariate-adjusted regressions and pooled estimates across studies. FINDINGS Data from nine published reports from five interventions studies, which included 8603 children (4302 girls and 4301 boys), were included in the meta-analysis. Environmental pathogen detection was associated with increased infection prevalence with the same pathogen and lower HAZ (ΔHAZ -0·09 [95% CI -0·17 to -0·01]) but not diarrhoea (prevalence ratio 1·22 [95% CI 0·95 to 1·58]), except during wet seasons. Detection of MSTM was not associated with diarrhoea (no pooled estimate) or HAZ (ΔHAZ -0·01 [-0·13 to 0·11] for human markers and ΔHAZ -0·02 [-0·24 to 0·21] for animal markers). Soil, children's hands, and stored drinking water were major transmission pathways. INTERPRETATION Our findings support a causal chain from pathogens in the environment to infection to growth faltering, indicating that the lack of WASH intervention effects on child growth might stem from insufficient reductions in environmental pathogen prevalence. Studies measuring enteropathogens in the environment should subsequently measure the same pathogens in stool to further examine theories of change between WASH, faecal contamination, and health. Given that environmental pathogen detection was predictive of infection, programmes targeting specific pathogens (eg, vaccinations and elimination efforts) can environmentally monitor the pathogens of interest for population-level surveillance instead of collecting individual biospecimens. FUNDING The Bill & Melinda Gates Foundation and the UK Foreign and Commonwealth Development Office.
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Affiliation(s)
- Andrew Mertens
- Division of Epidemiology, University of California, Berkeley, CA, USA; Division of Biostatistics, University of California, Berkeley, CA, USA.
| | - Benjamin F Arnold
- Francis I Proctor Foundation and Department of Ophthalmology, University of California, San Francisco, CA, USA
| | - Jade Benjamin-Chung
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Alexandria B Boehm
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA
| | - Joe Brown
- Department of Environmental Science and Engineering, University of North Carolina, Gillings School of Global Public Health, Michael Hooker Research Center, Chapel Hill, NC, USA
| | - Drew Capone
- Department of Environmental and Occupational Health, Indiana University, Bloomington, IN, USA
| | - Thomas Clasen
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Erica R Fuhrmeister
- Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | | | - David Holcomb
- Department of Environmental Science and Engineering, University of North Carolina, Gillings School of Global Public Health, Michael Hooker Research Center, Chapel Hill, NC, USA
| | - Jackie Knee
- Department of Disease Control, London School of Tropical Medicine & Hygiene, London, UK
| | - Laura H Kwong
- Division of Environmental Health Sciences, University of California, Berkeley, CA, USA
| | - Audrie Lin
- Department of Microbiology and Environmental Toxicology, University of California, Santa Cruz, CA, USA
| | - Stephen P Luby
- Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, USA
| | - Rassul Nala
- Ministério da Saúde, Instituto Nacional de Saúde Maputo, Maputo, Mozambique
| | - Kara Nelson
- Department of Civil and Environmental Engineering, College of Engineering, University of California, Berkeley, CA, USA
| | | | | | - Amy J Pickering
- Department of Civil and Environmental Engineering, College of Engineering, University of California, Berkeley, CA, USA
| | - Mahbubur Rahman
- Environmental Interventions Unit, Infectious Diseases Division, Dhaka, Bangladesh
| | - Heather E Reese
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lauren Steinbaum
- California Department of Toxic Substances Control, Sacramento, CA, USA
| | - Jill R Stewart
- Department of Environmental Science and Engineering, University of North Carolina, Gillings School of Global Public Health, Michael Hooker Research Center, Chapel Hill, NC, USA
| | | | - Oliver Cumming
- Department of Disease Control, London School of Tropical Medicine & Hygiene, London, UK
| | - John M Colford
- Division of Epidemiology, University of California, Berkeley, CA, USA
| | - Ayse Ercumen
- Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA
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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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Monteiro S, Machado-Moreira B, Linke R, Blanch AR, Ballesté E, Méndez J, Maunula L, Oristo S, Stange C, Tiehm A, Farnleitner AH, Santos R, García-Aljaro C. Performance of bacterial and mitochondrial qPCR source tracking methods: A European multi-center study. Int J Hyg Environ Health 2023; 253:114241. [PMID: 37611533 DOI: 10.1016/j.ijheh.2023.114241] [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: 04/20/2023] [Revised: 07/07/2023] [Accepted: 08/15/2023] [Indexed: 08/25/2023]
Abstract
With the advent of molecular biology diagnostics, different quantitative PCR assays have been developed for use in Source Tracking (ST), with none of them showing 100% specificity and sensitivity. Most studies have been conducted at a regional level and mainly in fecal slurry rather than in animal wastewater. The use of a single molecular assay has most often proven to fall short in discriminating with precision the sources of fecal contamination. This work is a multicenter European ST study to compare bacterial and mitochondrial molecular assays and was set to evaluate the efficiency of nine previously described qPCR assays targeting human-, cow/ruminant-, pig-, and poultry-associated fecal contamination. The study was conducted in five European countries with seven fecal indicators and nine ST assays being evaluated in a total of 77 samples. Animal fecal slurry samples and human and non-human wastewater samples were analyzed. Fecal indicators measured by culture and qPCR were generally ubiquitous in the samples. The ST qPCR markers performed at high levels in terms of quantitative sensitivity and specificity demonstrating large geographical application. Sensitivity varied between 73% (PLBif) and 100% for the majority of the tested markers. On the other hand, specificity ranged from 53% (CWMit) and 97% (BacR). Animal-associated ST qPCR markers were generally detected in concentrations greater than those found for the respective human-associated qPCR markers, with mean concentration for the Bacteroides qPCR markers varying between 8.74 and 7.22 log10 GC/10 mL for the pig and human markers, respectively. Bacteroides spp. and mitochondrial DNA qPCR markers generally presented higher Spearman's rank coefficient in the pooled fecal samples tested, particularly the human fecal markers with a coefficient of 0.79. The evaluation of the performance of Bacteroides spp., mitochondrial DNA and Bifidobacterium spp. ST qPCR markers support advanced pollution monitoring of impaired aquatic environments, aiming to elaborate strategies for target-oriented water quality management.
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Affiliation(s)
- Sílvia Monteiro
- Laboratório de Análises, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001, Lisboa, Portugal; CERIS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001, Lisboa, Portugal; Departamento de Engenharia e Ciências Nucleares, Instituto Superior Técnico, Universidade de Lisboa, EN. 10, 2695-066, Bobadela, Portugal.
| | - Bernardino Machado-Moreira
- Laboratório de Análises, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001, Lisboa, Portugal
| | - Rita Linke
- Institute of Chemical, Environmental and Bioscience Engineering, Research Group Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorferstr. 1a, 1060, Vienna, Austria
| | - Anicet R Blanch
- Dept. Genetics, Microbiology and Statistics, University of Barcelona, Catalonia, Spain
| | - Elisenda Ballesté
- Dept. Genetics, Microbiology and Statistics, University of Barcelona, Catalonia, Spain
| | - Javier Méndez
- Dept. Genetics, Microbiology and Statistics, University of Barcelona, Catalonia, Spain
| | - Leena Maunula
- Dept. Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Finland
| | - Satu Oristo
- Dept. Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Finland
| | - Claudia Stange
- Dept. Water Microbiology, DVGW-Technologiezentrum Wasser, Germany
| | - Andreas Tiehm
- Dept. Water Microbiology, DVGW-Technologiezentrum Wasser, Germany
| | - Andreas H Farnleitner
- Institute of Chemical, Environmental and Bioscience Engineering, Research Group Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorferstr. 1a, 1060, Vienna, Austria; Karl Landsteiner University of Health Sciences, Research Division Water Quality and Health, Dr.- Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria
| | - Ricardo Santos
- Laboratório de Análises, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001, Lisboa, Portugal; CERIS, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001, Lisboa, Portugal; Departamento de Engenharia e Ciências Nucleares, Instituto Superior Técnico, Universidade de Lisboa, EN. 10, 2695-066, Bobadela, Portugal
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Meuchi Y, Nakada M, Kuroda K, Hanamoto S, Hata A. Applicability of F-specific bacteriophage subgroups, PMMoV and crAssphage as indicators of source specific fecal contamination and viral inactivation in rivers in Japan. PLoS One 2023; 18:e0288454. [PMID: 37450468 PMCID: PMC10348522 DOI: 10.1371/journal.pone.0288454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 06/27/2023] [Indexed: 07/18/2023] Open
Abstract
To date, several microbes have been proposed as potential source-specific indicators of fecal pollution. 16S ribosomal RNA gene markers of the Bacteroidales species are the most widely applied due to their predominance in the water environment and source specificity. F-specific bacteriophage (FPH) subgroups, especially FRNA phage genogroups, are also known as potential source-specific viral indicators. Since they can be quantified by both culture-based and molecular assays, they may also be useful as indicators for estimating viral inactivation in the environment. Pepper mild mottle virus (PMMoV) and crAssphage, which are frequently present in human feces, are also potentially useful as human-specific indicators of viral pollution. This study aimed to evaluate the applicability of FPH subgroups, PMMoV, and crAssphage as indicators of source-specific fecal contamination and viral inactivation using 108 surface water samples collected at five sites affected by municipal and pig farm wastewater. The host specificity of the FPH subgroups, PMMoV, and crAssphage was evaluated by principal component analysis (PCA) along with other microbial indicators, such as 16S ribosomal RNA gene markers of the Bacteroidales species. The viabilities (infectivity indices) of FRNA phage genogroups were estimated by comparing their numbers determined by infectivity-based and molecular assays. The PCA explained 58.2% of the total information and classified microbes into three groups: those considered to be associated with pig and human fecal contamination and others. Infective and gene of genogroup IV (GIV)-FRNA phage were assumed to be specific to pig fecal contamination, while the genes of GII-FRNA phage and crAssphage were identified to be specific to human fecal contamination. However, PMMoV, infective GI-FRNA phage, and FDNA phage were suggested to not be specific to human or pig fecal contamination. FRNA phage genogroups, especially the GIV-FRNA phage, were highly inactivated in the warm months in Japan (i.e., July to November). Comparing the infectivity index of several FRNA phage genogroups or other viruses may provide further insight into viral inactivation in the natural environment and by water treatments.
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Affiliation(s)
- Yuno Meuchi
- Graduate School of Engineering, Toyama Prefectural University, Imizu, Toyama, Japan
| | - Miu Nakada
- Faculty of Engineering, Toyama Prefectural University, Imizu, Toyama, Japan
| | - Keisuke Kuroda
- Faculty of Engineering, Toyama Prefectural University, Imizu, Toyama, Japan
| | - Seiya Hanamoto
- Environment Preservation Center, Kanazawa University, Kanazawa, Ishikawa, Japan
| | - Akihiko Hata
- Faculty of Engineering, Toyama Prefectural University, Imizu, Toyama, Japan
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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: 0] [Impact Index Per Article: 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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7
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Zhao F, Wang B, Huang K, Yin J, Ren X, Wang Z, Zhang XX. Correlations among Antibiotic Resistance Genes, Mobile Genetic Elements and Microbial Communities in Municipal Sewage Treatment Plants Revealed by High-Throughput Sequencing. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3593. [PMID: 36834289 PMCID: PMC9965123 DOI: 10.3390/ijerph20043593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/13/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
Municipal sewage treatment plants (MSTPs) are environmental pools for antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARGs), which is cause for growing environmental-health concerns. In this study, the effects of different wastewater treatment processes on microbial antibiotic resistance in four MSTPs were investigated. PCR, q-PCR, and molecular cloning integrally indicated that the tetracycline resistance (tet) genes significantly reduced after activated-sludge treatment. Illumina high-throughput sequencing revealed that the broad-spectrum profile of ARGs and mobile element genes (MGEs) were also greatly decreased by one order of magnitude via activated sludge treatment and were closely associated with each other. Correlations between ARGs and bacterial communities showed that potential ARB, such as Acinetobacter, Bacteroides, and Cloaibacterium, were removed by the activated-sludge process. Sedimentation processes cannot significantly affect the bacterial structure, resulting in the relative abundance of ARGs, MGEs, and ARB in second-clarifier effluent water being similar to activated sludge. A comprehensive study of ARGs associated with MGEs and bacterial structure might be technologically guided for activated sludge design and operation in the MSTPs, to purposefully control ARGs carried by pathogenic hosts and mobility.
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Affiliation(s)
- Fuzheng Zhao
- Key Laboratory of Yellow River Water Environment in Gansu Province, Lanzhou Jiaotong University, Lanzhou 730070, China
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Bo Wang
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
| | - Kailong Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Jinbao Yin
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Xuechang Ren
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
| | - Zhu Wang
- Institute of Environmental Research at Greater Bay, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, Guangzhou University, Guangzhou 510006, China
| | - Xu-Xiang Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
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8
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Derx J, Kılıç HS, Linke R, Cervero-Aragó S, Frick C, Schijven J, Kirschner AKT, Lindner G, Walochnik J, Stalder G, Sommer R, Saracevic E, Zessner M, Blaschke AP, Farnleitner AH. Probabilistic fecal pollution source profiling and microbial source tracking for an urban river catchment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159533. [PMID: 36270368 DOI: 10.1016/j.scitotenv.2022.159533] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/10/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
We developed an innovative approach to estimate the occurrence and extent of fecal pollution sources for urban river catchments. The methodology consists of 1) catchment surveys complemented by literature data where needed for probabilistic estimates of daily produced fecal indicator (FIBs, E. coli, enterococci) and zoonotic reference pathogen numbers (Campylobacter, Cryptosporidium and Giardia) excreted by human and animal sources in a river catchment, 2) generating a hypothesis about the dominant sources of fecal pollution and selecting a source targeted monitoring design, and 3) verifying the results by comparing measured concentrations of the informed choice of parameters (i.e. chemical tracers, C. perfringensspores, and host-associated genetic microbial source tracking (MST) markers) in the river, and by multi-parametric correlation analysis. We tested the approach at a study area in Vienna, Austria. The daily produced microbial particle numbers according to the probabilistic estimates indicated that, for the dry weather scenario, the discharge of treated wastewater (WWTP) was the primary contributor to fecal pollution. For the wet weather scenario, 80-99 % of the daily produced FIBs and pathogens resulted from combined sewer overflows (CSOs) according to the probabilistic estimates. When testing our hypothesis in the river, the measured concentrations of the human genetic fecal marker were log10 4 higher than for selected animal genetic fecal markers. Our analyses showed for the first-time statistical relationships between C. perfringens spores (used as conservative microbial tracer for communal sewage) and a human genetic fecal marker (i.e. HF183/BacR287) with the reference pathogen Giardia in river water (Spearman rank correlation: 0.78-0.83, p < 0.05. The developed approach facilitates urban water safety management and provides a robust basis for microbial fate and transport models and microbial infection risk assessment.
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Affiliation(s)
- Julia Derx
- Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Austria.
| | - H Seda Kılıç
- Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Austria
| | - Rita Linke
- Institute of Chemical, Environmental and Bioscience Engineering, Research Group Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Austria
| | - Sílvia Cervero-Aragó
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Austria
| | - Christina Frick
- Vienna City Administration, Municipal Department 39, Division of Hygiene, Vienna, Austria
| | - Jack Schijven
- Utrecht University, Faculty of Geosciences, Department of Earth Sciences, Utrecht, the Netherlands; National Institute for Public Health and the Environment, Department of Statistics, Informatics and Modelling, Bilthoven, the Netherlands
| | - Alexander K T Kirschner
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Austria; Division Water Quality and Health, Department of Pharmacology, Physiology, and Microbiology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
| | - Gerhard Lindner
- Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Austria
| | - Julia Walochnik
- Institute of Specific Prophylaxis and Tropical Medicine, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Austria
| | - Gabrielle Stalder
- Research Institute of Wildlife Ecology, Department of Interdisciplinary Life Sciences, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Regina Sommer
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Austria
| | - Ernis Saracevic
- Institute for Water Quality and Resource Management, TU Wien, Vienna, Austria
| | - Matthias Zessner
- Institute for Water Quality and Resource Management, TU Wien, Vienna, Austria
| | - Alfred P Blaschke
- Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Austria
| | - Andreas H Farnleitner
- Institute of Chemical, Environmental and Bioscience Engineering, Research Group Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Austria.; Division Water Quality and Health, Department of Pharmacology, Physiology, and Microbiology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
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9
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Vadde KK, Phan DC, Moghadam SV, Jafarzadeh A, Matta A, Johnson D, Kapoor V. Fecal pollution source characterization in the surface waters of recharge and contributing zones of a karst aquifer using general and host-associated fecal genetic markers. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2022; 24:2450-2464. [PMID: 36444711 DOI: 10.1039/d2em00418f] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Fecal pollution of surface waters in the karst-dominated Edwards aquifer is a serious concern as contaminated waters can rapidly transmit to groundwaters, which are used for domestic purposes. Although microbial source tracking (MST) detects sources of fecal pollution, integrating data related to environmental processes (precipitation) and land management practices (septic tanks) with MST can provide better understanding of fecal contamination fluxes to implement effective mitigation strategies. Here, we investigated fecal sources and their spatial origins at recharge and contributing zones of the Edwards aquifer and identified their relationship with nutrients in different environmental/land-use conditions. During March 2019 to March 2020, water samples (n = 295) were collected biweekly from 11 sampling sites across four creeks and analyzed for six physico-chemical parameters and ten fecal indicator bacteria (FIB) and MST-based qPCR assays targeting general (E. coli, Enterococcus, and universal Bacteroidales), human (BacHum and HF183), ruminant (Rum2Bac), cattle (BacCow), canine (BacCan), and avian (Chicken/Duck-Bac and GFD) fecal markers. Among physico-chemical parameters, nitrate-N (NO3-N) concentrations at several sites were higher than estimated national background concentrations for streams. General fecal markers were detected in the majority of water samples, and among host-associated MST markers, GFD, BacCow, and Rum2Bac were more frequently detected than BacCan, BacHum, and HF183, indicating avian and ruminant fecal contamination is a major concern. Cluster analysis results indicated that sampling sites clustered based on precipitation and septic tank density showed significant correlation (p < 0.05) between nutrients and FIB/MST markers, indicating these factors are influencing the spatial and temporal variations of fecal sources. Overall, results emphasize that integration of environmental/land-use data with MST is crucial for a better understanding of nutrient loading and fecal contamination.
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Affiliation(s)
- Kiran Kumar Vadde
- School of Civil & Environmental Engineering, and Construction Management, University of Texas at San Antonio, San Antonio, TX 78249, USA.
| | - Duc C Phan
- School of Civil & Environmental Engineering, and Construction Management, University of Texas at San Antonio, San Antonio, TX 78249, USA.
| | - Sina V Moghadam
- School of Civil & Environmental Engineering, and Construction Management, University of Texas at San Antonio, San Antonio, TX 78249, USA.
| | - Arash Jafarzadeh
- School of Civil & Environmental Engineering, and Construction Management, University of Texas at San Antonio, San Antonio, TX 78249, USA.
| | - Akanksha Matta
- School of Civil & Environmental Engineering, and Construction Management, University of Texas at San Antonio, San Antonio, TX 78249, USA.
- Department of Chemistry, University of Texas at San Antonio, San Antonio, TX 78249, USA
| | - Drew Johnson
- School of Civil & Environmental Engineering, and Construction Management, University of Texas at San Antonio, San Antonio, TX 78249, USA.
| | - Vikram Kapoor
- School of Civil & Environmental Engineering, and Construction Management, University of Texas at San Antonio, San Antonio, TX 78249, USA.
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10
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Zhang Y, Li K, Wu Y, Liu Y, Wu R, Zhong Y, Xiao S, Mao H, Li G, Wang Y, Li W. Distribution and correlation between antibiotic resistance genes and host-associated markers before and after swine fever in the longjiang watershed. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120101. [PMID: 36064059 DOI: 10.1016/j.envpol.2022.120101] [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: 05/24/2022] [Revised: 08/27/2022] [Accepted: 08/30/2022] [Indexed: 06/15/2023]
Abstract
Antibiotic resistance genes (ARGs) are abundantly shed in feces. Thus, it is crucial to identify their host sources so that ARG pollution can be effectively mitigated and aquatic ecosystems can be properly conserved. Here, spatiotemporal variations and sources of ARGs in the Longjiang watershed of South China were investigated by linking them with microbial source tracker (MST) indicators. The most frequently detected ARGs (>90%) were sulI, sulII, blaTEM, tetW, ermF, and the mobile element intI1. Spatial distribution analyses showed that tributaries contributed significantly more sulI, sulII, and ermF contamination to the Longjiang watershed than the main channel. MST indicator analysis revealed that the Longjiang watershed was contaminated mainly by human fecal pollution. Livestock- and poultry-associated fecal pollution significantly declined after the swine fever outbreak. The occurrence of most ARGs is largely explained by human fecal pollution. In contrast, pig fecal pollution might account for the prevalence of tetO. Moreover, combined human-pig fecal pollution contributed to the observed blaNDM-1 distribution in the Longjiang watershed. Subsequent analysis of the characteristics of MST markers disclosed that the relatively lower specificities of BacHum and Rum-2-Bac may lead to inaccurate results of tracking ARG pollution source. The present study determined spatiotemporal variations and ARG origins in the Longjiang watershed by combining MST markers. It also underscored the necessity of using multiple MST markers simultaneously to identify and characterize ARG pollution sources accurately.
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Affiliation(s)
- Yang Zhang
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China
| | - Kaiming Li
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China
| | - Yongjie Wu
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China
| | - Yi Liu
- Zhaoqing Municipal Ecology and Environment Bureau, Zhaoqing, 526060, PR China
| | - Renren Wu
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China; Department of Environment, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, PR China.
| | - Yi Zhong
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China
| | - Shijie Xiao
- Department of Environment, College of Environment and Resources, Xiangtan University, Xiangtan, 411105, PR China
| | - Han Mao
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China
| | - Guodong Li
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China
| | - Yishu Wang
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China
| | - Wenjing Li
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China
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11
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Flood MT, Hernandez-Suarez JS, Nejadhashemi AP, Martin SL, Hyndman D, Rose JB. Connecting microbial, nutrient, physiochemical, and land use variables for the evaluation of water quality within mixed use watersheds. WATER RESEARCH 2022; 219:118526. [PMID: 35598465 DOI: 10.1016/j.watres.2022.118526] [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: 01/12/2022] [Revised: 04/15/2022] [Accepted: 04/26/2022] [Indexed: 06/15/2023]
Abstract
As non-point sources of pollution begin to overtake point sources in watersheds, source identification and complicating variables such as rainfall are growing in importance. Microbial source tracking (MST) allows for identification of fecal contamination sources in watersheds; when combined with data on land use and co-occuring variables (e.g., nutrients, sediment runoff) MST can provide a basis for understanding how to effectively remediate water quality. To determine spatial and temporal trends in microbial contamination and correlations between MST and nutrients, water samples (n = 136) were collected between April 2017 and May of 2018 during eight sampling events from 17 sites in 5 mixed-use watersheds. These samples were analyzed for three MST markers (human - B. theta; bovine - CowM2; porcine - Pig2Bac) along with E. coli, nutrients (nitrogen and phosphorus species), and physiochemical paramaters. These water quality variables were then paired with data on land use, streamflow, precipitation and management practices (e.g., tile drainage, septic tank density, tillage practices) to determine if any significant relationships existed between the observed microbial contamination and these variables. The porcine marker was the only marker that was highly correlated (p value <0.05) with nitrogen and phosphorus species in multiple clustering schemes. Significant relationships were also identified between MST markers and variables that demonstrated temporal trends driven by precipitation and spatial trends driven by septic tanks and management practices (tillage and drainage) when spatial clustering was employed.
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Affiliation(s)
- Matthew T Flood
- Department of Fisheries and Wildlife, Michigan State University, East Lansing MI 48824, USA.
| | | | - A Pouyan Nejadhashemi
- Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing MI 48824, USA
| | - Sherry L Martin
- Department of Earth and Environmental Sciences, Michigan State University, East Lansing MI
| | - David Hyndman
- Department of Geosciences, School of Natural Sciences and Mathematics, University of Texas at Dallas, Richardson TX, 75080, USA
| | - Joan B Rose
- Department of Fisheries and Wildlife, Michigan State University, East Lansing MI 48824, USA
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12
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Zhu K, Suttner B, Knee J, Capone D, Moe CL, Stauber CE, Konstantinidis KT, Wallach TE, Pickering AJ, Brown J. Elevated Fecal Mitochondrial DNA from Symptomatic Norovirus Infections Suggests Potential Health Relevance of Human Mitochondrial DNA in Fecal Source Tracking. ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS 2022; 9:543-550. [PMID: 35719858 PMCID: PMC9202355 DOI: 10.1021/acs.estlett.2c00140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 05/10/2022] [Accepted: 05/11/2022] [Indexed: 06/15/2023]
Abstract
An end goal of fecal source tracking (FST) is to provide information on risk of transmission of waterborne illnesses associated with fecal contamination. Ideally, concentrations of FST markers in ambient waters would reflect exposure risk. Human mtDNA is an FST marker that is exclusively human in origin and may be elevated in feces of individuals experiencing gastrointestinal inflammation. In this study, we examined whether human mtDNA is elevated in fecal samples from individuals with symptomatic norovirus infections using samples from the United States (US), Mozambique, and Bangladesh. We quantified hCYTB484 (human mtDNA) and HF183/BacR287 (human-associated Bacteroides) FST markers using droplet digital polymerase chain reaction. We observed the greatest difference in concentrations of hCYTB484 when comparing samples from individuals with symptomatic norovirus infections versus individuals without norovirus infections or diarrhea symptoms: log10 increase of 1.42 in US samples (3,820% increase, p-value = 0.062), 0.49 in Mozambique (308% increase, p-value = 0.061), and 0.86 in Bangladesh (648% increase, p-value = 0.035). We did not observe any trends in concentrations of HF183/BacR287 in the same samples. These results suggest concentrations of fecal mtDNA may increase during symptomatic norovirus infection and that mtDNA in environmental samples may represent an unambiguously human source-tracking marker that correlates with enteric pathogen exposure risk.
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Affiliation(s)
- Kevin
J. Zhu
- School
of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Brittany Suttner
- School
of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Jackie Knee
- Department
of Disease Control, London School of Hygiene
and Tropical Medicine, London WC1E 7HT,United Kingdom
| | - Drew Capone
- Department
of Environmental Sciences and Engineering, Gillings School of Global
Public Health, University of North Carolina
at Chapel Hill, Chapel
Hill, North Carolina 27599, United States
| | - Christine L. Moe
- Center
for Global Safe Water, Sanitation, and Hygiene, Rollins School of
Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Christine E. Stauber
- Department
of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia 30302, United States
| | - Kostas T. Konstantinidis
- School
of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Thomas E. Wallach
- Division
of Pediatric Gastroenterology, SUNY Downstate
Health Sciences University, Brooklyn, New York 11203, United States
| | - Amy J. Pickering
- Department
of Civil and Environmental Engineering, University of California, Berkeley, California 94720, United States
| | - Joe Brown
- Department
of Environmental Sciences and Engineering, Gillings School of Global
Public Health, University of North Carolina
at Chapel Hill, Chapel
Hill, North Carolina 27599, United States
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13
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Li D, Van De Werfhorst LC, Holden PA. Genetic Sequence Data Evidence that Human Fecal‐associated
HF183
sequences Are on Human Skin and in Urine. J Appl Microbiol 2022; 133:232-240. [PMID: 35429105 PMCID: PMC9544380 DOI: 10.1111/jam.15577] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 04/26/2022] [Accepted: 04/08/2022] [Indexed: 12/03/2022]
Abstract
Aims The DNA marker HF183 is a partial 16S rRNA gene sequence highly specific to human‐associated Bacteroides including Bacteroides dorei. While HF183 is used to assess human faecal contamination in aquatic environments worldwide, little is known about the existence of HF183 and B. dorei in human microbiomes outside of the human gastrointestinal tract and faeces. Methods and Results Previously published human skin and urine microbiome data sets from five independent human body skin studies, the Human Microbiome Project (HMP) and three independent human urine studies were analysed. The HF183 gene sequence was detected in all skin data sets, with the ratios of positive samples ranging from 0.5% to 36.3%. Popliteal fossa (knee), volar forearm and inguinal (groin) creases were identified as hot spots. HF183 was detected in two of three urine data sets, with ratios of positive samples ranging from 0% to 37.5%. All HF183‐containing sequences from these data sets were classified as associated with B. dorei. Conclusions HF183 is widespread on human skin and present in urine. Significance and Impact of Study Skin and urine microbiomes could be sources of HF183 to environmental waters. Such non‐faecal sources of HF183 might explain low concentrations of HF183 in recreational waters when swimmers are present.
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Affiliation(s)
- Dong Li
- Bren School of Environmental Science & Management University of California Santa Barbara
| | | | - Patricia A. Holden
- Bren School of Environmental Science & Management University of California Santa Barbara
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14
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Wiesner-Friedman C, Beattie RE, Stewart JR, Hristova KR, Serre ML. Characterizing Differences in Sources of and Contributions to Fecal Contamination of Sediment and Surface Water with the Microbial FIT Framework. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:4231-4240. [PMID: 35298143 DOI: 10.1021/acs.est.2c00224] [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: 05/31/2023]
Abstract
Surface water monitoring and microbial source tracking (MST) are used to identify host sources of fecal pollution and protect public health. However, knowledge of the locations of spatial sources and their relative impacts on the environment is needed to effectively mitigate health risks. Additionally, sediment samples may offer time-integrated information compared to transient surface water. Thus, we implemented the newly developed microbial find, inform, and test framework to identify spatial sources and their impacts on human (HuBac) and bovine (BoBac) MST markers, quantified from both riverbed sediment and surface water in a bovine-dense region. Dairy feeding operations and low-intensity developed land-cover were associated with 99% (p-value < 0.05) and 108% (p-value < 0.05) increases, respectively, in the relative abundance of BoBac in sediment, and with 79% (p-value < 0.05) and 39% increases in surface water. Septic systems were associated with a 48% increase in the relative abundance of HuBac in sediment and a 56% increase in surface water. Stronger source signals were observed for sediment responses compared to water. By defining source locations, predicting river impacts, and estimating source influence ranges in a Great Lakes region, this work informs pollution mitigation strategies of local and global significance.
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Affiliation(s)
- Corinne Wiesner-Friedman
- Gillings School of Global Public Health, Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7400, United States
| | - Rachelle E Beattie
- Department of Biological Sciences, Marquette University, Milwaukee, Wisconsin 53233, United States
| | - Jill R Stewart
- Gillings School of Global Public Health, Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7400, United States
| | - Krassimira R Hristova
- Department of Biological Sciences, Marquette University, Milwaukee, Wisconsin 53233, United States
| | - Marc L Serre
- Gillings School of Global Public Health, Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7400, United States
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15
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Linke RB, Zeki S, Mayer R, Keiblinger K, Savio D, Kirschner AKT, Reischer GH, Mach RL, Sommer R, Farnleitner AH. Identifying Inorganic Turbidity in Water Samples as Potential Loss Factor During Nucleic Acid Extraction: Implications for Molecular Fecal Pollution Diagnostics and Source Tracking. Front Microbiol 2021; 12:660566. [PMID: 34745021 PMCID: PMC8565874 DOI: 10.3389/fmicb.2021.660566] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 08/13/2021] [Indexed: 11/13/2022] Open
Abstract
Molecular diagnostic methods are increasingly applied for food and environmental analysis. Since several steps are involved in sample processing which can affect the outcome (e.g., adhesion of DNA to the sample matrix, inefficient precipitation of DNA, pipetting errors and (partial) loss of the DNA pellet during DNA isolation), quality control is essential at all processing levels. In soil microbiology, particular attention has been paid to the inorganic component of the sample matrix affecting DNA extractability. In water quality testing, however, this aspect has mostly been neglected so far, although it is conceivable that these mechanisms have a similar impact. The present study was therefore dedicated to investigate possible matrix effects on results of water quality analysis. Field testing in an aquatic environment with pronounced chemo-physical gradients [total suspended solids (TSS), inorganic turbidity, total organic carbon (TOC), and conductivity] indicated a negative association between DNA extractability (using a standard phenol/chloroform extraction procedure) and turbidity (spearman ρ = −0.72, p < 0.001, n = 21). Further detailed laboratory experiments on sediment suspensions confirmed the hypothesis of inorganic turbidity being the main driver for reduced DNA extractability. The observed effects, as known from soil samples, were also indicated to result from competitive effects for free charges on clay minerals, leading to adsorption of DNA to these inorganic particles. A protocol modification by supplementing the extraction buffer with salmon sperm DNA, to coat charged surfaces prior to cell lysis, was then applied on environmental water samples and compared to the standard protocol. At sites characterized by high inorganic turbidity, DNA extractability was significantly improved or made possible in the first place by applying the adapted protocol. This became apparent from intestinal enterococci and microbial source tracking (MST)-marker levels measured by quantitative polymerase chain reaction (qPCR) (100 to 10,000-fold median increase in target concentrations). The present study emphasizes the need to consider inorganic turbidity as a potential loss factor in DNA extraction from water-matrices. Negligence of these effects can lead to a massive bias, by up to several orders of magnitude, in the results of molecular MST and fecal pollution diagnostics.
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Affiliation(s)
- Rita B Linke
- Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna, Austria
| | - Sibel Zeki
- Department of Marine Environment, Institute of Marine Sciences and Management, Istanbul University, Istanbul, Turkey
| | - René Mayer
- Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna, Austria
| | - Katharina Keiblinger
- Department of Forest and Soil Sciences, Institute of Soil Research, University of Natural Resources and Life Sciences Vienna, Vienna, Austria
| | - Domenico Savio
- Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna, Austria.,Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
| | - Alexander K T Kirschner
- Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria.,Institute for Hygiene and Applied Immunology, Medical University of Vienna, Vienna, Austria
| | - Georg H Reischer
- Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna, Austria.,Research Area Molecular Diagnostics, Department IFA-Tulln, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Tulln, Austria
| | - Robert L Mach
- Research Division Biochemical Technology, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna, Austria
| | - Regina Sommer
- Unit of Water Microbiology, Institute for Hygiene and Applied Immunology, Medical University of Vienna, Vienna, Austria
| | - Andreas H Farnleitner
- Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna, Austria.,Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
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16
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McClary-Gutierrez JS, Driscoll Z, Nenn C, Newton RJ. Human Fecal Contamination Corresponds to Changes in the Freshwater Bacterial Communities of a Large River Basin. Microbiol Spectr 2021; 9:e0120021. [PMID: 34494860 PMCID: PMC8557911 DOI: 10.1128/spectrum.01200-21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 08/09/2021] [Indexed: 01/04/2023] Open
Abstract
Microbial water quality is generally monitored by culturable fecal indicator bacteria (FIB), which are intended to signal human health risk due to fecal pollution. However, FIB have limited utility in most urbanized watersheds as they do not discriminate among fecal pollution sources, tend to make up a small fraction of the total microbial community, and do not inform on pollution impacts on the native ecosystem. To move beyond these limitations, we assessed entire bacterial communities and investigated how bacterial diversity relates to traditional ecological and human health-relevant water quality indicators throughout the Milwaukee River Basin. Samples were collected from 16 sites on 5 days during the summer, including both wet and dry weather events, and were processed by 16S rRNA gene amplicon sequencing. Historical water quality at each sampling location, as opposed to upstream land use, was associated significantly with bacterial community alpha diversity. Source partitioning the sequence data was important for determining water quality relationships. Sewage-associated bacterial sequences were detected in all samples, and the relative abundance of sewage sequences was strongly associated with the human Bacteroides fecal marker. From this relationship, we developed a preliminary threshold for human sewage pollution when using bacterial community sequence data. Certain abundant freshwater bacterial sequences were also associated with human fecal pollution, suggesting their possible utility in water quality monitoring. This study sheds light on how bacterial community analysis can be used to supplement current water quality monitoring techniques to better understand interactions between ecological water quality and human health indicators. IMPORTANCE Surface waters in highly developed mixed-use watersheds are frequently impacted by a wide variety of pollutants, leading to a range of impairments that must be monitored and remediated. With advancing technologies, microbial community sequencing may soon become a feasible method for routine evaluation of the ecological quality and human health risk of a water body. In this study, we partnered with a local citizen science organization to evaluate the utility of microbial community sequencing for identifying pollution sources and ecological impairments in a large mixed-use watershed. We show that changes in microbial community diversity and composition are indicative of both long-term ecological impairments and short-term fecal pollution impacts. By source partitioning the sequence data, we also estimate a threshold target for human sewage pollution, which may be useful as a starting point for future development of sequencing-based water quality monitoring techniques.
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Affiliation(s)
| | - Zac Driscoll
- Milwaukee Riverkeeper, Milwaukee, Wisconsin, USA
| | - Cheryl Nenn
- Milwaukee Riverkeeper, Milwaukee, Wisconsin, USA
| | - Ryan J. Newton
- School of Freshwater Sciences, University of Wisconsin–Milwaukee, Milwaukee, Wisconsin, USA
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17
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Wiesner-Friedman C, Beattie RE, Stewart JR, Hristova KR, Serre ML. Microbial Find, Inform, and Test Model for Identifying Spatially Distributed Contamination Sources: Framework Foundation and Demonstration of Ruminant Bacteroides Abundance in River Sediments. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:10451-10461. [PMID: 34291905 DOI: 10.1021/acs.est.1c01602] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Microbial pollution in rivers poses known ecological and health risks, yet causal and mechanistic linkages to sources remain difficult to establish. Host-associated microbial source tracking (MST) markers help to assess the microbial risks by linking hosts to contamination but do not identify the source locations. Land-use regression (LUR) models have been used to screen the source locations using spatial predictors but could be improved by characterizing transport (i.e., hauling, decay overland, and downstream). We introduce the microbial Find, Inform, and Test (FIT) framework, which expands previous LUR approaches and develops novel spatial predictor models to characterize the transported contributions. We applied FIT to characterize the sources of BoBac, a ruminant Bacteroides MST marker, quantified in riverbed sediment samples from Kewaunee County, Wisconsin. A 1 standard deviation increase in contributions from land-applied manure hauled from animal feeding operations (AFOs) was associated with a 77% (p-value <0.05) increase in the relative abundance of ruminant Bacteroides (BoBac-copies-per-16S-rRNA-copies) in the sediment. This is the first work finding an association between the upstream land-applied manure and the offsite bovine-associated fecal markers. These findings have implications for the sediment as a reservoir for microbial pollution associated with AFOs (e.g., pathogens and antibiotic-resistant bacteria). This framework and application advance statistical analysis in MST and water quality modeling more broadly.
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Affiliation(s)
- Corinne Wiesner-Friedman
- Gillings School of Global Public Health, Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7400, United States
| | - Rachelle E Beattie
- Department of Biological Sciences, Marquette University, Milwaukee, Wisconsin 53233, United States
| | - Jill R Stewart
- Gillings School of Global Public Health, Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7400, United States
| | - Krassimira R Hristova
- Department of Biological Sciences, Marquette University, Milwaukee, Wisconsin 53233, United States
| | - Marc L Serre
- Gillings School of Global Public Health, Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599-7400, United States
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18
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Derx J, Demeter K, Linke R, Cervero-Aragó S, Lindner G, Stalder G, Schijven J, Sommer R, Walochnik J, Kirschner AKT, Komma J, Blaschke AP, Farnleitner AH. Genetic Microbial Source Tracking Support QMRA Modeling for a Riverine Wetland Drinking Water Resource. Front Microbiol 2021; 12:668778. [PMID: 34335498 PMCID: PMC8317494 DOI: 10.3389/fmicb.2021.668778] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 06/18/2021] [Indexed: 11/30/2022] Open
Abstract
Riverine wetlands are important natural habitats and contain valuable drinking water resources. The transport of human- and animal-associated fecal pathogens into the surface water bodies poses potential risks to water safety. The aim of this study was to develop a new integrative modeling approach supported by microbial source tracking (MST) markers for quantifying the transport pathways of two important reference pathogens, Cryptosporidium and Giardia, from external (allochthonous) and internal (autochthonous) fecal sources in riverine wetlands considering safe drinking water production. The probabilistic-deterministic model QMRAcatch (v 1.1 python backwater) was modified and extended to account for short-time variations in flow and microbial transport at hourly time steps. As input to the model, we determined the discharge rates, volumes and inundated areas of the backwater channel based on 2-D hydrodynamic flow simulations. To test if we considered all relevant fecal pollution sources and transport pathways, we validated QMRAcatch using measured concentrations of human, ruminant, pig and bird associated MST markers as well as E. coli in a Danube wetland area from 2010 to 2015. For the model validation, we obtained MST marker decay rates in water from the literature, adjusted them within confidence limits, and simulated the MST marker concentrations in the backwater channel, resulting in mean absolute errors of < 0.7 log10 particles/L (Kruskal–Wallis p > 0.05). In the scenarios, we investigated (i) the impact of river discharges into the backwater channel (allochthonous sources), (ii) the resuspension of pathogens from animal fecal deposits in inundated areas, and (iii) the pathogen release from animal fecal deposits after rainfall (autochthonous sources). Autochthonous and allochthonous human and animal sources resulted in mean loads and concentrations of Cryptosporidium and Giardia (oo)cysts in the backwater channel of 3–13 × 109 particles/hour and 0.4–1.2 particles/L during floods and rainfall events, and in required pathogen treatment reductions to achieve safe drinking water of 5.0–6.2 log10. The integrative modeling approach supports the sustainable and proactive drinking water safety management of alluvial backwater areas.
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Affiliation(s)
- Julia Derx
- Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria
| | - Katalin Demeter
- Research Group Environmental Microbiology and Molecular Diagnostics E166/5/3, Institute of Chemical, Environmental and Bioscience Engineering, Vienna, Austria
| | - Rita Linke
- Research Group Environmental Microbiology and Molecular Diagnostics E166/5/3, Institute of Chemical, Environmental and Bioscience Engineering, Vienna, Austria
| | - Sílvia Cervero-Aragó
- Institute for Hygiene and Applied Immunology, Medical University of Vienna, Vienna, Austria
| | - Gerhard Lindner
- Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria
| | - Gabrielle Stalder
- Institute of Wildlife Ecology, University of Veterinary Medicine, Vienna, Austria
| | - Jack Schijven
- Department of Statistics, Informatics and Modelling, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands.,Faculty of Geosciences, Department of Earth Sciences, Utrecht University, Utrecht, Netherlands
| | - Regina Sommer
- Institute for Hygiene and Applied Immunology, Medical University of Vienna, Vienna, Austria
| | - Julia Walochnik
- Institute of Specific Prophylaxis and Tropical Medicine, Medical University of Vienna, Vienna, Austria
| | - Alexander K T Kirschner
- Institute for Hygiene and Applied Immunology, Medical University of Vienna, Vienna, Austria.,Division Water Quality and Health, Department of Pharmacology, Physiology, and Microbiology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
| | - Jürgen Komma
- Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria
| | - Alfred P Blaschke
- Institute of Hydraulic Engineering and Water Resources Management, Vienna, Austria
| | - Andreas H Farnleitner
- Research Group Environmental Microbiology and Molecular Diagnostics E166/5/3, Institute of Chemical, Environmental and Bioscience Engineering, Vienna, Austria.,Division Water Quality and Health, Department of Pharmacology, Physiology, and Microbiology, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
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19
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Boukerb AM, Noël C, Quenot E, Cadiou B, Chevé J, Quintric L, Cormier A, Dantan L, Gourmelon M. Comparative Analysis of Fecal Microbiomes From Wild Waterbirds to Poultry, Cattle, Pigs, and Wastewater Treatment Plants for a Microbial Source Tracking Approach. Front Microbiol 2021; 12:697553. [PMID: 34335529 PMCID: PMC8317174 DOI: 10.3389/fmicb.2021.697553] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/14/2021] [Indexed: 12/28/2022] Open
Abstract
Fecal pollution in coastal areas is of a high concern since it affects bathing and shellfish harvesting activities. Wild waterbirds are non-negligible in the overall signal of the detectable pollution. Yet, studies on wild waterbirds’ gut microbiota focus on migratory trajectories and feeding impact on their shape, rare studies address their comparison to other sources and develop quantitative PCR (qPCR)-based Microbial Source Tracking (MST) markers to detect such pollution. Thus, by using 16S rRNA amplicon high-throughput sequencing, the aims of this study were (i) to explore and compare fecal bacterial communities from wild waterbirds (i.e., six families and 15 species, n = 275 samples) to that of poultry, cattle, pigs, and influent/effluent of wastewater treatment plants (n = 150 samples) and (ii) to develop new MST markers for waterbirds. Significant differences were observed between wild waterbirds and the four other groups. We identified 7,349 Amplicon Sequence Variants (ASVs) from the hypervariable V3–V4 region. Firmicutes and Proteobacteria and, in a lesser extent, Actinobacteria and Bacteroidetes were ubiquitous while Fusobacteria and Epsilonbacteraeota were mainly present in wild waterbirds. The clustering of samples in non-metric multidimensional scaling (NMDS) ordination indicated a by-group clustering shape, with a high diversity within wild waterbirds. In addition, the structure of the bacterial communities was distinct according to bird and/or animal species and families (Adonis R2 = 0.13, p = 10–4, Adonis R2 = 0.11, p = 10–4, respectively). The Analysis of Composition of Microbiomes (ANCOM) showed that the wild waterbird group differed from the others by the significant presence of sequences from Fusobacteriaceae (W = 566) and Enterococcaceae (W = 565) families, corresponding to the Cetobacterium (W = 1427) and Catellicoccus (W = 1427) genera, respectively. Altogether, our results suggest that some waterbird members present distinct fecal microbiomes allowing the design of qPCR MST markers. For instance, a swan- and an oystercatcher-associated markers (named Swan_2 and Oyscab, respectively) have been developed. Moreover, bacterial genera harboring potential human pathogens associated to bird droppings were detected in our dataset, including enteric pathogens, i.e., Arcobacter, Clostridium, Helicobacter, and Campylobacter, and environmental pathogens, i.e., Burkholderia and Pseudomonas. Future studies involving other wildlife hosts may improve gut microbiome studies and MST marker development, helping mitigation of yet unknown fecal pollution sources.
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Affiliation(s)
- Amine M Boukerb
- IFREMER, RBE-SGMM-LSEM, Laboratoire Santé Environnement Microbiologie, Plouzané, France
| | - Cyril Noël
- IFREMER - PDG-IRSI-SEBIMER, Plouzané, France
| | - Emmanuelle Quenot
- IFREMER, RBE-SGMM-LSEM, Laboratoire Santé Environnement Microbiologie, Plouzané, France
| | | | - Julien Chevé
- IFREMER, ODE-UL-LERBN, Laboratoire Environnement Ressource Bretagne Nord, Dinard, France
| | | | | | - Luc Dantan
- IFREMER, RBE-SGMM-LSEM, Laboratoire Santé Environnement Microbiologie, Plouzané, France
| | - Michèle Gourmelon
- IFREMER, RBE-SGMM-LSEM, Laboratoire Santé Environnement Microbiologie, Plouzané, France
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20
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Differentiating Sources of Fecal Contamination to Wilderness Waters Using Droplet Digital PCR and Fecal Indicator Bacteria Methods. Wilderness Environ Med 2021; 32:332-339. [PMID: 34172374 DOI: 10.1016/j.wem.2021.04.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 04/16/2021] [Accepted: 04/17/2021] [Indexed: 11/22/2022]
Abstract
INTRODUCTION Human activity in wilderness areas has the potential to affect aquatic ecosystems, including through the introduction of microorganisms associated with fecal contamination. We examined fecal microorganism contamination in water sources (lake outlets, snowmelt streams) in the popular Absaroka Beartooth Wilderness in the United States. Although the region is remote, increasing human visitation has the potential to negatively affect water quality, with particular concern about human-derived microorganism fecal contaminants. METHODS We used standard fecal indicator bacterial assays that quantified total coliform bacteria and Escherichia coli concentrations, together with more specific polymerase chain reaction-based microbial assays that identified possible human sources of fecal microorganisms in these waters. RESULTS Total coliforms were detected at all lake outlets (21 of 21 sites), and E coli was detected at 11 of 21 sites. Droplet digital polymerase chain reaction assays revealed the presence of human feces-derived microorganisms, albeit at abundances below the limit of detection (<10 gene copies per milliliter of water) at all but 1 of the sampling sites. CONCLUSIONS Our results suggest low prevalence of water-borne pathogens (specifically E coli and human-derived Bacteroides) in this popular wilderness area. However, widespread detection of total coliforms, Bacteroides, and E coli highlight the importance of purifying water sources in wilderness areas before consumption. Specific sources of total coliforms and E coli in these waters remain unknown but could derive from wild or domesticated animals that inhabit or visit the Absaroka Beartooth Wilderness. Hence, although contamination by human fecal microorganisms appears minimal, human visitation could indirectly influence fecal contamination through domesticated animals.
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21
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Liang H, Yu Z, Wang B, Ndayisenga F, Liu R, Zhang H, Wu G. Synergistic Application of Molecular Markers and Community-Based Microbial Source Tracking Methods for Identification of Fecal Pollution in River Water During Dry and Wet Seasons. Front Microbiol 2021; 12:660368. [PMID: 34194406 PMCID: PMC8236858 DOI: 10.3389/fmicb.2021.660368] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 05/12/2021] [Indexed: 12/12/2022] Open
Abstract
It is important to track fecal sources from humans and animals that negatively influence the water quality of rural rivers and human health. In this study, microbial source tracking (MST) methods using molecular markers and the community-based FEAST (fast expectation–maximization microbial source tracking) program were synergistically applied to distinguish the fecal contributions of multiple sources in a rural river located in Beijing, China. The performance of eight markers were evaluated using 133 fecal samples based on real-time quantitative (qPCR) technique. Among them, six markers, including universal (BacUni), human-associated (HF183-1 and BacH), swine-associated (Pig-2-Bac), ruminant-associated (Rum-2-Bac), and avian-associated (AV4143) markers, performed well in the study. A total of 96 water samples from the river and outfalls showed a coordinated composition of fecal pollution, which revealed that outfall water might be a potential input of the Fsq River. In the FEAST program, bacterial 16S rRNA genes of 58 fecal and 12 water samples were sequenced to build the “source” library and “sink,” respectively. The relative contribution (<4.01% of sequence reads) of each source (i.e., human, swine, bovine, or sheep) was calculated based on simultaneous screening of the operational taxonomic units (OTUs) of sources and sinks, which indicated that community-based MST methods could be promising tools for identifying fecal sources from a more comprehensive perspective. Results of the qPCR assays indicated that fecal contamination from human was dominant during dry weather and that fecal sources from swine and ruminant were more prevalent in samples during the wet season than in those during the dry season, which were consistent with the findings predicted by the FEAST program using a very small sample size. Information from the study could be valuable for the development of improved regulation policies to reduce the levels of fecal contamination in rural rivers.
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Affiliation(s)
- Hongxia Liang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Zhisheng Yu
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.,RCEES-IMCAS-UCAS Joint-Lab of Microbial Technology for Environmental Science, Beijing, China
| | - Bobo Wang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Fabrice Ndayisenga
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Ruyin Liu
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Hongxun Zhang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Gang Wu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, University of Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
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22
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Kapoor R, Ebdon J, Wadhwa A, Chowdhury G, Wang Y, Raj SJ, Siesel C, Durry SE, Mairinger W, Mukhopadhyay AK, Kanungo S, Dutta S, Moe CL. Evaluation of Low-Cost Phage-Based Microbial Source Tracking Tools for Elucidating Human Fecal Contamination Pathways in Kolkata, India. Front Microbiol 2021; 12:673604. [PMID: 34093494 PMCID: PMC8173070 DOI: 10.3389/fmicb.2021.673604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 04/15/2021] [Indexed: 11/17/2022] Open
Abstract
Phages, such as those infecting Bacteroides spp., have been proven to be reliable indicators of human fecal contamination in microbial source tracking (MST) studies, and the efficacy of these MST markers found to vary geographically. This study reports the application and evaluation of candidate MST methods (phages infecting previously isolated B. fragilis strain GB-124, newly isolated Bacteroides strains (K10, K29, and K33) and recently isolated Kluyvera intermedia strain ASH-08), along with non-source specific somatic coliphages (SOMCPH infecting strain WG-5) and indicator bacteria (Escherichia coli) for identifying fecal contamination pathways in Kolkata, India. Source specificity of the phage-based methods was first tested using 60 known non-human fecal samples from common animals, before being evaluated with 56 known human samples (municipal sewage) collected during both the rainy and dry season. SOMCPH were present in 40-90% of samples from different animal species and in 100% of sewage samples. Phages infecting Bacteroides strain GB-124 were not detected from the majority (95%) of animal samples (except in three porcine samples) and were present in 93 and 71% of the sewage samples in the rainy and dry season (Mean = 1.42 and 1.83 log10PFU/100mL, respectively), though at lower levels than SOMCPH (Mean = 3.27 and 3.02 log10PFU/100mL, respectively). Phages infecting strain ASH-08 were detected in 89 and 96% of the sewage samples in the rainy and dry season, respectively, but were also present in all animal samples tested (except goats). Strains K10, K29, and K30 were not found to be useful MST markers due to low levels of phages and/or co-presence in non-human sources. GB-124 and SOMCPH were subsequently deployed within two low-income neighborhoods to determine the levels and origin of fecal contamination in 110 environmental samples. E. coli, SOMCPH, and phages of GB-124 were detected in 68, 42, and 28% of the samples, respectively. Analyses of 166 wastewater samples from shared community toilets and 21 samples from sewage pumping stations from the same districts showed that SOMCPH were present in 100% and GB-124 phages in 31% of shared toilet samples (Median = 5.59 and <1 log10 PFU/100 mL, respectively), and both SOMCPH and GB-124 phages were detected in 95% of pumping station samples (Median = 5.82 and 4.04 log10 PFU/100 mL, respectively). Our findings suggest that GB-124 and SOMCPH have utility as low-cost fecal indicator tools which can facilitate environmental surveillance of enteric organisms, elucidate human and non-human fecal exposure pathways, and inform interventions to mitigate exposure to fecal contamination in the residential environment of Kolkata, India.
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Affiliation(s)
- Renuka Kapoor
- Center for Global Safe Water, Sanitation and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - James Ebdon
- Environment and Public Health Research and Enterprise Group (EPHREG), University of Brighton, Brighton, United Kingdom
| | - Ashutosh Wadhwa
- Center for Global Safe Water, Sanitation and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Goutam Chowdhury
- ICMR – National Institute of Cholera and Enteric Diseases (NICED), Kolkata, India
| | - Yuke Wang
- Center for Global Safe Water, Sanitation and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Suraja J. Raj
- Center for Global Safe Water, Sanitation and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Casey Siesel
- Center for Global Safe Water, Sanitation and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Sarah E. Durry
- Center for Global Safe Water, Sanitation and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Wolfgang Mairinger
- Center for Global Safe Water, Sanitation and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | | | - Suman Kanungo
- ICMR – National Institute of Cholera and Enteric Diseases (NICED), Kolkata, India
| | - Shanta Dutta
- ICMR – National Institute of Cholera and Enteric Diseases (NICED), Kolkata, India
| | - Christine L. Moe
- Center for Global Safe Water, Sanitation and Hygiene, Rollins School of Public Health, Emory University, Atlanta, GA, United States
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Goshu G, Koelmans AA, de Klein JJM. Performance of faecal indicator bacteria, microbial source tracking, and pollution risk mapping in tropical water. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 276:116693. [PMID: 33631685 DOI: 10.1016/j.envpol.2021.116693] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 01/25/2021] [Accepted: 02/04/2021] [Indexed: 06/12/2023]
Abstract
Faecal indicator bacteria (FIB) are used for the assessment of faecal pollution and possible water quality deterioration. There is growing evidence that FIB used in temperate regions are not adequate and reliable to detect faecal pollution in tropical regions. Hence, this study evaluated the adequacy of FIB, including total coliforms (TC), Escherichia coli (EC), Enterococci (IEC), and Clostridium perfringens (CP) in the high-altitude, tropical country of Ethiopia. In addition to FIB, for microbial source tracking (MST), a ruminant-associated molecular marker was applied at different water types and altitudes, and faecal pollution risk mapping was conducted based on consensus FIB. The performances of the indicators were evaluated at 22 sites from different water types. The results indicate that EC cell enumeration and CP spore determination perform well for faecal contamination monitoring. Most of the sub-basins of Lake Tana were found to be moderately to highly polluted, and the levels of pollution were demonstrated to be higher in the rainy season than in the post-rainy season. Markers associated with ruminants (BacR) were identified in more than three quarters of the sites. A bacterial pollution risk map was developed for sub-basins of Lake Tana, including the un-gauged sub-basins. We demonstrate how bacterial pollution risk mapping can aid in improvements to water quality testing and reduce risk to the general population from stream bacteria.
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Affiliation(s)
- Goraw Goshu
- Aquatic Ecology and Water Quality Management Group, Department of Environmental Sciences, Wageningen University &Research, P.O. Box, 47,6700AA, Wageningen, the Netherlands; College of Agriculture and Environmental Sciences and Blue Nile Water Institute, Bahir Dar University, P.O. Box 1701, Bahir Dar, Ethiopia.
| | - A A Koelmans
- Aquatic Ecology and Water Quality Management Group, Department of Environmental Sciences, Wageningen University &Research, P.O. Box, 47,6700AA, Wageningen, the Netherlands
| | - J J M de Klein
- Aquatic Ecology and Water Quality Management Group, Department of Environmental Sciences, Wageningen University &Research, P.O. Box, 47,6700AA, Wageningen, the Netherlands
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24
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Zhang Y, Wu R, Li W, Chen Z, Li K. Occurrence and distributions of human-associated markers in an impacted urban watershed. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 275:116654. [PMID: 33582625 DOI: 10.1016/j.envpol.2021.116654] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 01/26/2021] [Accepted: 01/31/2021] [Indexed: 06/12/2023]
Abstract
Numerous genetic markers for microbial source tracking (MST) have been evaluated by testing a panel of target and nontarget faecal samples. However, the performance of MST markers may vary between faecal and water samples, thereby resulting in inaccurate water quality assessment. In this study, a 30-day sampling study was conducted in an urban river impacted by human- and sewage-associated pollution to evaluate the performance of different human-associated markers in environmental water. Additionally, marker decay was assessed via a microcosms approach. Overall, Bacteroidales 16sRNA and crAssphage markers exhibited higher prevalence in the study area, and their detection frequencies exceeded 90%. In contrast, Bacteroidales protein markers exhibited poor detection frequencies compared to other markers, with the prevalence of Hum2 and Hum163 reaching only 63% and 84%, respectively. Regarding marker abundance, there was no significant difference in the detection concentrations between Bacteroidales 16sRNA and crAssphage markers (p > 0.05); however, the concentrations of Bacteroidales protein markers were nearly 1 order of magnitude lower than those of other MST markers. The microcosm experiments indicated that the decay rate of crAssphage markers was significantly lower than that of other bacterial target markers, which may improve their detectability when the pollution source is located far from the sampling site. Due to the observed differences in performance and decay patterns among Bacteroidales 16sRNA, crAssphage, and Bacteroidales protein markers, we recommend the simultaneous use of multiple markers from different target microorganisms to obtain a more comprehensive understanding of the pollution sources. This approach would also provide an accurate assessment of pollution levels and health risks.
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Affiliation(s)
- Yang Zhang
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China; State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510530, PR China
| | - Renren Wu
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China; State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510530, PR China.
| | - Wenjing Li
- State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510530, PR China
| | - Zhongying Chen
- State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510530, PR China
| | - Kaiming Li
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China
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25
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Grazing Effects on Bovine-Associated and Background Fecal Indicator Bacteria Levels in Edge-of-Field Runoff. WATER 2021. [DOI: 10.3390/w13070928] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Excessive levels of fecal indicator bacteria are a major cause of water quality impairment. Grazing and its management may significantly impact bacteria concentrations; however, other sources can contribute to water quality issues both in the presence and absence of cattle, thus confounding results. In this study, we utilize Bacteroides markers to evaluate bacteria loading from cattle versus background sources in runoff from rotationally grazed and ungrazed pastures and how grazing management, timing of runoff in relation to grazing events, and stocking rate affect Bacteroides marker (AllBac and BoBac) levels and ratios and their relation to E. coli concentrations in runoff at the small watershed scale. The data suggest that the AllBac and BoBac levels were not significantly impacted by grazing management or stocking rate; however, the timing of runoff events in relation to grazing events significantly impacted the levels of these markers found in runoff. Furthermore, the BoBac/AllBac ratio confirmed that fecal contamination present in runoff when sites were destocked for over two weeks largely originated from sources other than cattle. Thus, the magnitude and proportion of cattle impacts on fecal indicator bacteria in edge-of-field runoff were dramatically reduced shortly after de-stocking. However, background sources continued to contribute significant concentrations of E. coli.
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26
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Microbial source tracking using metagenomics and other new technologies. J Microbiol 2021; 59:259-269. [DOI: 10.1007/s12275-021-0668-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/08/2021] [Accepted: 01/08/2021] [Indexed: 12/12/2022]
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27
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Carrey R, Ballesté E, Blanch AR, Lucena F, Pons P, López JM, Rull M, Solà J, Micola N, Fraile J, Garrido T, Munné A, Soler A, Otero N. Combining multi-isotopic and molecular source tracking methods to identify nitrate pollution sources in surface and groundwater. WATER RESEARCH 2021; 188:116537. [PMID: 33126005 DOI: 10.1016/j.watres.2020.116537] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 10/16/2020] [Accepted: 10/18/2020] [Indexed: 06/11/2023]
Abstract
Nitrate (NO3-) pollution adversely impacts surface and groundwater quality. In recent decades, many countries have implemented measures to control and reduce anthropogenic nitrate pollution in water resources. However, to effectively implement mitigation measures at the origin of pollution,the source of nitrate must first be identified. The stable nitrogen and oxygen isotopes of NO3- (ẟ15N and ẟ18O) have been widely used to identify NO3- sources in water, and their combination with other stable isotopes such as boron (ẟ11B) has further improved nitrate source identification. However, the use of these datasets has been limited due to their overlapping isotopic ranges, mixing between sources, and/or isotopic fractionation related to physicochemical processes. To overcome these limitations, we combined a multi-isotopic analysis with fecal indicator bacteria (FIB) and microbial source tracking (MST) techniques to improve nitrate origin identification. We applied this novel approach on 149 groundwater and 39 surface water samples distributed across Catalonia (NE Spain). A further 18 wastewater treatment plant (WWTP) effluents were also isotopically and biologically characterized. The groundwater and surface water results confirm that isotopes and MST analyses were complementary and provided more reliable information on the source of nitrate contamination. The isotope and MST data agreed or partially agreed in most of the samples evaluated (79 %). This approach was especially useful for nitrate pollution tracing in surface water but was also effective in groundwater samples influenced by organic nitrate pollution. Furthermore, the findings from the WWTP effluents suggest that the use of literature values to define the isotopic ranges of anthropogenic sources can constrain interpretations. We therefore recommend that local sources be isotopically characterized for accurate interpretations. For instance, the detection of MST inferred animal influence in some WWTP effluents, but the ẟ11B values were higher than those reported in the literature for wastewater. The results of this study have been used by local water authorities to review uncertain cases and identify new vulnerable zones in Catalonia according to the European Nitrate Directive (91/676/CEE).
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Affiliation(s)
- Raúl Carrey
- Grup MAiMA, SGR Mineralogia Aplicada, Geoquímica i Geomicrobiologia, SIMGEO UB-CSIC, Departament de Mineralogia, Petrologia i Geologia Aplicada, Facultat de Ciències de la Terra, Universitat de Barcelona (UB), C/Martí i Franquès s/n, 08028 Barcelona (Spain); Centres Científics i Tecnològics, Universitat de Barcelona (UB), C/Lluís Solé i Sabarís 1-3, 08028 Barcelona (Spain).
| | - Elisenda Ballesté
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona (UB), Diagonal 645, 08028 Barcelona (Spain)
| | - Anicet R Blanch
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona (UB), Diagonal 645, 08028 Barcelona (Spain)
| | - Francisco Lucena
- Departament de Genètica, Microbiologia i Estadística, Universitat de Barcelona (UB), Diagonal 645, 08028 Barcelona (Spain)
| | - Pere Pons
- Geoservei Projectes i Gestió Ambiental, S.L. OriolMartorell, 40, 1r, 3ª, 17003 Girona (Spain)
| | - Juan Manuel López
- Geoservei Projectes i Gestió Ambiental, S.L. OriolMartorell, 40, 1r, 3ª, 17003 Girona (Spain)
| | - Marina Rull
- Geoservei Projectes i Gestió Ambiental, S.L. OriolMartorell, 40, 1r, 3ª, 17003 Girona (Spain)
| | - Joan Solà
- Geoservei Projectes i Gestió Ambiental, S.L. OriolMartorell, 40, 1r, 3ª, 17003 Girona (Spain)
| | - Nuria Micola
- Agència Catalana de l'Aigua, c/ Provença 260, 08036 Barcelona (Spain)
| | - Josep Fraile
- Agència Catalana de l'Aigua, c/ Provença 260, 08036 Barcelona (Spain)
| | - Teresa Garrido
- Agència Catalana de l'Aigua, c/ Provença 260, 08036 Barcelona (Spain)
| | - Antoni Munné
- Agència Catalana de l'Aigua, c/ Provença 260, 08036 Barcelona (Spain)
| | - Albert Soler
- Grup MAiMA, SGR Mineralogia Aplicada, Geoquímica i Geomicrobiologia, SIMGEO UB-CSIC, Departament de Mineralogia, Petrologia i Geologia Aplicada, Facultat de Ciències de la Terra, Universitat de Barcelona (UB), C/Martí i Franquès s/n, 08028 Barcelona (Spain)
| | - Neus Otero
- Grup MAiMA, SGR Mineralogia Aplicada, Geoquímica i Geomicrobiologia, SIMGEO UB-CSIC, Departament de Mineralogia, Petrologia i Geologia Aplicada, Facultat de Ciències de la Terra, Universitat de Barcelona (UB), C/Martí i Franquès s/n, 08028 Barcelona (Spain); SerraHúnter Fellowship, Generalitat de Catalunya Barcelona (Spain)
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28
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Linke RB, Kebede G, Mushi D, Lakew A, Hayes DS, Graf W, Farnleitner AH. Assessing the faecal source sensitivity and specificity of ruminant and human genetic microbial source tracking markers in the central Ethiopian highlands. Lett Appl Microbiol 2020; 72:458-466. [PMID: 33300161 PMCID: PMC7986238 DOI: 10.1111/lam.13436] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 12/04/2020] [Accepted: 12/04/2020] [Indexed: 12/21/2022]
Abstract
This study tested genetic microbial source tracking (MST) methods for identifying ruminant‐ (BacR) and human‐associated (HF183/BacR287, BacHum) bacterial faecal contaminants in Ethiopia in a newly created regional faecal sample bank (n = 173). BacR performed well, and its marker abundance was high (100% sensitivity (Sens), 95% specificity (Spec), median log10 8·1 marker equivalents (ME) g−1 ruminant faeces). Human‐associated markers tested were less abundant in individual human samples (median: log10 5·4 and 4·2 (ME + 1) g−1) and were not continuously detected (81% Sens, 91% Spec for BacHum; 77% Sens, 91% Spec for HF183/BacR287). Furthermore, the pig‐associated Pig2Bac assay was included and performed excellent (100% Sens, 100% Spec). To evaluate the presence of MST targets in the soil microbiome, representative soil samples were tested during a whole seasonal cycle (n = 60). Only BacR could be detected, but was limited to the dry season and to sites of higher anthropogenic influence (log10 3·0 to 4·9 (ME + 1) g−1 soil). In conclusion, the large differences in marker abundances between target and non‐target faecal samples (median distances between distributions ≥log10 3 to ≥log10 7) and their absence in pristine soil indicate that all tested assays are suitable candidates for diverse MST applications in the Ethiopian area.
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Affiliation(s)
- R B Linke
- Research Group of Environmental Microbiology and Molecular Diagnostics, Institute for Chemical, Biological and Environmental Engineering, Technical University Vienna, Vienna, Austria
| | - G Kebede
- Department of Biological Sciences, Ambo University, Ambo, Ethiopia.,Institute of Hydrobiology and Aquatic Ecosystem Management (IHG), University of Natural Resources and Life Sciences, Vienna, Austria
| | - D Mushi
- Department of Biosciences, Solomon Mahlangu College of Science and Education, Sokoine University of Agriculture, Morogoro, Tanzania
| | - A Lakew
- National Fishery and Aquatic Life Research Centre, Ethiopian Institute of Agricultural Research (EIAR), Sebeta, Ethiopia
| | - D S Hayes
- Institute of Hydrobiology and Aquatic Ecosystem Management (IHG), University of Natural Resources and Life Sciences, Vienna, Austria.,Centro de Estudos Florestais (CEF), Instituto Superior de Agronomia, University of Lisbon, Lisbon, Portugal
| | - W Graf
- Institute of Hydrobiology and Aquatic Ecosystem Management (IHG), University of Natural Resources and Life Sciences, Vienna, Austria
| | - A H Farnleitner
- Research Group of Environmental Microbiology and Molecular Diagnostics, Institute for Chemical, Biological and Environmental Engineering, Technical University Vienna, Vienna, Austria.,Research Division Water Quality and Health, Karl Landsteiner University for Health Sciences, Krems, Austria
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Fuhrmeister ER, Ercumen A, Grembi JA, Islam M, Pickering AJ, Nelson KL. Shared bacterial communities between soil, stored drinking water, and hands in rural Bangladeshi households. WATER RESEARCH X 2020; 9:100056. [PMID: 32529181 PMCID: PMC7276488 DOI: 10.1016/j.wroa.2020.100056] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/19/2020] [Accepted: 05/21/2020] [Indexed: 05/24/2023]
Abstract
Understanding household-level transmission pathways of fecal pathogens can provide insight for developing effective strategies to reduce diarrheal illness in low- and middle-income countries. We applied whole bacterial community analysis to investigate pathways of bacterial transmission in 50 rural Bangladeshi households. SourceTracker was used to quantify the shared microbial community in household reservoirs (stored drinking water, soil, and hands) and estimate the percentage of fecal-associated bacteria from child and mothers' feces in these reservoirs. Among the reservoirs studied, most bacterial transfer occurred between mothers' and children's hands and between mothers' hands and stored water. The relative percentage of human fecal-associated bacteria in all household reservoirs was low. We also quantified the number of identical amplicon sequence variants within and between individual households to assess bacterial community exchange in the domestic environment. Intra-household sharing of bacteria between mothers' and children's hands and between hands and soil was significantly greater than inter-household sharing.
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Affiliation(s)
- Erica R. Fuhrmeister
- Department of Civil and Environmental Engineering, University of California, Berkeley, CA, 94720, United States
| | - Ayse Ercumen
- School of Public Health, University of California, Berkeley, CA, 94720, United States
- Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27607, United States
| | - Jessica A. Grembi
- Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, 94305, United States
| | - Mahfuza Islam
- Environmental Intervention Unit, Infectious Disease Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, 1212, Bangladesh
| | - Amy J. Pickering
- Civil and Environmental Engineering, Tufts University, Medford, MA, 02153, United States
| | - Kara L. Nelson
- Department of Civil and Environmental Engineering, University of California, Berkeley, CA, 94720, United States
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30
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Frick C, Vierheilig J, Nadiotis-Tsaka T, Ixenmaier S, Linke R, Reischer GH, Komma J, Kirschner AKT, Mach RL, Savio D, Seidl D, Blaschke AP, Sommer R, Derx J, Farnleitner AH. Elucidating fecal pollution patterns in alluvial water resources by linking standard fecal indicator bacteria to river connectivity and genetic microbial source tracking. WATER RESEARCH 2020; 184:116132. [PMID: 32777635 DOI: 10.1016/j.watres.2020.116132] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 06/12/2020] [Accepted: 06/29/2020] [Indexed: 06/11/2023]
Abstract
A novel concept for fecal pollution analysis was applied at alluvial water resources to substantially extend the information provided by fecal indicator bacteria (FIB). FIB data were linked to river connectivity and genetic microbial source tracking (MST). The concept was demonstrated at the Danube River and its associated backwater area downstream of the city of Vienna, using a comprehensive 3-year data set (10 selected sites, n = 317 samples). Enumeration of Escherichia coli (ISO 16649-2), intestinal enterococci (ISO 7899-2) and Clostridium perfringens (ISO 14189) revealed a patchy distribution for the investigation area. Based on these parameters alone a clear interpretation of the observed fecal contamination patterns was not possible. Comparison of FIB concentrations to river connectivity allowed defining sites with dominating versus rare fecal pollution influence from the River Danube. A strong connectivity gradient at the selected backwater sites became obvious by 2D hydrodynamic surface water modeling, ranging from 278 days (25%) down to 5 days (<1%) of hydraulic connectivity to the River Danube within the 3-year study period. Human sewage pollution could be identified as the dominating fecal source at the highly connected sites by adding information from MST analysis. In contrast, animal fecal pollution proofed to be dominating in areas with low river connectivity. The selection of genetic MST markers was focusing on potentially important pollution sources in the backwater area, using human (BacHum, HF183II), ruminant (BacR) and pig (Pig2Bac) -associated quantitative PCR assays. The presented approach is assumed to be useful to characterize alluvial water resources for water safety management throughout the globe, by allocating fecal pollution to autochthonous, allochthonous, human or animal contamination components. The established river connectivity metric is not limited to bacterial fecal pollution, but can be applied to any type of chemical and microbiological contamination.
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Affiliation(s)
- Christina Frick
- Municipal Department 39, Rinnböckstraße 15/2, 1110, Vienna, Austria; Centre for Water Resource Systems (CWRS), TU Wien, Karlsplatz 13, 1040, Vienna, Austria.
| | - Julia Vierheilig
- Karl Landsteiner University of Health Sciences, Division Water Quality and Health, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria; Interuniversity Cooperation Centre for Water and Health, Austria.
| | | | - Simone Ixenmaier
- Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorfer Straße 1A/166, 1060, Vienna, Austria.
| | - Rita Linke
- Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorfer Straße 1A/166, 1060, Vienna, Austria.
| | - Georg H Reischer
- Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorfer Straße 1A/166, 1060, Vienna, Austria.
| | - Jürgen Komma
- Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Karlsplatz 13, 1040, Vienna, Austria.
| | - Alexander K T Kirschner
- Karl Landsteiner University of Health Sciences, Division Water Quality and Health, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria; Interuniversity Cooperation Centre for Water and Health, Austria; Unit of Water Microbiology, Institute for Hygiene and Applied Immunology, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria.
| | - Robert L Mach
- Research Division Biochemical Technology, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, 1060, Vienna, Austria.
| | - Domenico Savio
- Karl Landsteiner University of Health Sciences, Division Water Quality and Health, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria; Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorfer Straße 1A/166, 1060, Vienna, Austria.
| | - Dagmar Seidl
- Municipal Department 39, Rinnböckstraße 15/2, 1110, Vienna, Austria.
| | - Alfred P Blaschke
- Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Karlsplatz 13, 1040, Vienna, Austria.
| | - Regina Sommer
- Interuniversity Cooperation Centre for Water and Health, Austria; Unit of Water Hygiene, Institute for Hygiene and Applied Immunology, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria.
| | - Julia Derx
- Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Karlsplatz 13, 1040, Vienna, Austria.
| | - Andreas H Farnleitner
- Karl Landsteiner University of Health Sciences, Division Water Quality and Health, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria; Interuniversity Cooperation Centre for Water and Health, Austria; Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Gumpendorfer Straße 1A/166, 1060, Vienna, Austria.
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31
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Ballesté E, Demeter K, Masterson B, Timoneda N, Sala-Comorera L, Meijer WG. Implementation and integration of microbial source tracking in a river watershed monitoring plan. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 736:139573. [PMID: 32474276 DOI: 10.1016/j.scitotenv.2020.139573] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 05/17/2020] [Accepted: 05/18/2020] [Indexed: 05/20/2023]
Abstract
Fecal pollution of water bodies poses a serious threat for public health and ecosystems. Microbial source tracking (MST) is used to track the source of this pollution facilitating better management of pollution at the source. In this study we tested 12 MST markers to track human, ruminant, sheep, horse, pig and gull pollution to assess their usefulness as an effective management tool of water quality. First, the potential of the selected markers to track the source was evaluated using fresh fecal samples. Subsequently, we evaluated their performance in a catchment with different impacts, considering land use and environmental conditions. All MST markers showed high sensitivity and specificity, although none achieved 100% for both. Although some of the MST markers were detected in hosts other than the intended ones, their abundance in the target group was always several orders of magnitude higher than in the non-target hosts, demonstrating their suitability to distinguish between sources of pollution. The MST analysis matched the land use in the watershed allowing an accurate assessment of the main sources of pollution, in this case mainly human and ruminant pollution. Correlating environmental parameters including temperature and rainfall with MST markers provided insight into the dynamics of the pollution in the catchment. The levels of the human marker showed a significant negative correlation with rainfall in human polluted areas suggesting a dilution of the pollution, whereas at agricultural areas the ruminant marker increased with rainfall. There were no seasonal differences in the levels of human marker, indicating human pollution as a constant pressure throughout the year, whereas the levels of the ruminant marker was influenced by the seasons, being more abundant in summer and autumn. MST analysis integrated with land use and environmental data can improve the management of fecal polluted areas and set up best practice.
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Affiliation(s)
- Elisenda Ballesté
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Katalin Demeter
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Bartholomew Masterson
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Natàlia Timoneda
- Computational Genomics Laboratory, Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Catalonia, Spain
| | - Laura Sala-Comorera
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute, UCD Conway Institute, University College Dublin, Dublin, Ireland
| | - Wim G Meijer
- UCD School of Biomolecular and Biomedical Science, UCD Earth Institute, UCD Conway Institute, University College Dublin, Dublin, Ireland.
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32
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Zhu K, Suttner B, Pickering A, Konstantinidis KT, Brown J. A novel droplet digital PCR human mtDNA assay for fecal source tracking. WATER RESEARCH 2020; 183:116085. [PMID: 32750535 PMCID: PMC7495096 DOI: 10.1016/j.watres.2020.116085] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 06/17/2020] [Accepted: 06/18/2020] [Indexed: 05/22/2023]
Abstract
Human mitochondrial DNA provides a promising target for fecal source tracking because it is unique and intrinsic to humans. We developed a TaqMan chemistry assay, hCYTB484, targeting the cytochrome b gene of the human mitochondrial genome on a droplet digital PCR (ddPCR) platform and compared the performance of hCYTB484 with the HF183/BacR287 assay, a widely used assay targeting human-associated Bacteroides. For both assays, we defined the analytical limit of detection and analytical lower limit of quantification using frequency of detection and imprecision goals, respectively. We then established these analytical limits using empirical ddPCR data, presenting a novel approach to determining the analytical lower limit of quantification. We evaluated assay sensitivity using individual human feces from US, Bangladesh, and Mozambique and evaluated assay specificity using cow, pig, chicken, and goat samples collected from the US. To compare assay performance across a range of thresholds, we utilized receiver operating characteristic curves. The hCYTB484 marker was detected and quantifiable in 100% of the human feces from the 3 geographical distant regions whereas the HF183/BacR287 marker was detectable and quantifiable in 51% and 31% (respectively) of human feces samples. The hCYTB484 marker also was more specific (97%), having fewer detections in pig, chicken, and goat samples than the HF183/BacR287 marker (80%). The higher performance of the hCYTB484 marker in individual feces from geographically distant regions is desirable in the detection of fecal pollution from sources to which fewer individuals contribute, such as the non-sewered forms of sanitation (e.g. pit latrines and septic tanks) that serve most of Earth's population and carry the highest risk of exposure to fecal-oral pathogens.
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Affiliation(s)
- Kevin Zhu
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Brittany Suttner
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Amy Pickering
- Civil and Environmental Engineering, Tufts University, Medford, MA, USA
| | | | - Joe Brown
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
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33
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Gray J, Masters N, Wiegand A, Katouli M. Field assessment of horse-associated genetic markers HoF597 and mtCytb for detecting the source of contamination in surface waters. Can J Microbiol 2020; 66:623-630. [PMID: 32692953 DOI: 10.1139/cjm-2019-0499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
We investigated the specificity and sensitivity of two horse-associated markers, HoF597 and Horse mtCytb, and 12 mitochondrial and bacterial markers of six animal species (human, cow, pig, bird, dog, chicken) in the faecal samples of 50 individual horses. Both horse markers were detected in 48 (96%) faecal samples. Cross-reactivity with dog (BacCan545) and pig (P23-2) occurred in 88% and 72% of horse faecal samples, respectively. Several other bacterial and mitochondrial markers of non-target hosts were also detected; however, their specificities were >80%. Analyses of samples from surface waters (n = 11) on or adjacent to properties from which horse faecal samples had been collected showed only the presence of HoF597 but not horse mitochondrial marker. Our data suggest that while bacterial and (or) mitochondrial markers of other animal species may be present in horse faeces, dog and pig markers may predominantly be present in horse faecal samples, which points to their nonspecificity as markers for microbial source tracking. Although HoF597 and Horse mtCytb are highly sensitive and specific for the detection of horse faecal pollution, because of their low numbers, mitochondrial (mtDNA) markers may not be robust for screening surface waters.
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Affiliation(s)
- Jessica Gray
- Genecology Research Centre, School of Health and Sport Sciences, University of the Sunshine Coast, Maroochydore DC 4558, Queensland, Australia
| | - Nicole Masters
- Genecology Research Centre, School of Health and Sport Sciences, University of the Sunshine Coast, Maroochydore DC 4558, Queensland, Australia
| | - Aaron Wiegand
- School of Science and Engineering, University of the Sunshine Coast, Maroochydore DC 4558, Queensland, Australia
| | - Mohammad Katouli
- Genecology Research Centre, School of Health and Sport Sciences, University of the Sunshine Coast, Maroochydore DC 4558, Queensland, Australia
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34
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Mushi D. Bacteriological quality of marine recreational water in a tropical environment reflects coastal residential patterns. SCIENTIFIC AFRICAN 2020. [DOI: 10.1016/j.sciaf.2020.e00326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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35
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Zhang Y, Wu R, Lin K, Wang Y, Lu J. Performance of host-associated genetic markers for microbial source tracking in China. WATER RESEARCH 2020; 175:115670. [PMID: 32171096 DOI: 10.1016/j.watres.2020.115670] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 02/25/2020] [Accepted: 02/26/2020] [Indexed: 06/10/2023]
Abstract
Numerous genetic markers have been developed to establish microbial source tracking (MST) assays in the last decade. However, the selection of suitable markers is challenging due to a lack of understanding of fundamental factors such as sensitivity, specificity, and concentration in target/nontarget hosts, especially in East Asia. In this study, a total of 506 faecal samples comprised of human and 12 nonhuman hosts were collected from 28 cities across China and tested for marker performance characteristics. We firstly tested 40 host-associated markers based on a binary (presence/absence) criterion. Here, 15 markers (7 human-associated, 4 pig-associated, 3 ruminant-associated, and 1 poultry-associated) showed potential applicability in our study area. The selected 15 markers were then tested using qualitative and quantitative methods to characterise their performance. Overall, Bacteroidales markers presented higher sensitivity and concentrations in target samples compared to other bacterial or viral markers, but their specificity was low. Among nontarget samples, pets accounted for 43.7% and 35.7% of cross-reactivity with human-associated and poultry-associated markers, respectively. Noncommon animals, including horse and donkey, contributed 61.3% of cross-reactivity with ruminant-associated markers. When considering the quantitative distribution of markers, their concentration in nontarget samples were 1-3 orders of magnitude lower than in target samples. Moreover, a novel classification method was proposed to classify the nontarget hosts into four groups spanning "no cross-reactivity", "weak cross-reactivity", "moderate cross-reactivity", and "strong cross-reactivity" animal hosts. There were 77.9% nontarget samples identified as no cross-reactivity and weak cross-reactivity hosts, suggesting that these nontarget hosts produce little interference for corresponding markers. Our findings elucidate the performance of host-associated markers around China in a qualitative and quantitative manner, and reveal the interference degree of cross-reactivity from nontarget animals to genetic markers, which will facilitate tracking of multiple faecal pollution sources and planning timely remedial strategies in China.
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Affiliation(s)
- Yang Zhang
- Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Renren Wu
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China; State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510530, PR China.
| | - Kairong Lin
- Department of Water Resources and Environment, Sun Yat-sen University, Guangzhou, 510275, PR China.
| | - Yishu Wang
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China; State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510530, PR China
| | - Junqing Lu
- The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510000, PR China; State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Guangzhou, 510530, PR China
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Holcomb DA, Knee J, Sumner T, Adriano Z, de Bruijn E, Nalá R, Cumming O, Brown J, Stewart JR. Human fecal contamination of water, soil, and surfaces in households sharing poor-quality sanitation facilities in Maputo, Mozambique. Int J Hyg Environ Health 2020; 226:113496. [PMID: 32135507 PMCID: PMC7174141 DOI: 10.1016/j.ijheh.2020.113496] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/09/2020] [Accepted: 02/20/2020] [Indexed: 12/12/2022]
Abstract
Identifying the origin of fecal contamination can support more effective interventions to interrupt enteric pathogen transmission. Microbial source tracking (MST) assays may help to identify environmental routes of pathogen transmission although these assays have performed poorly in highly contaminated domestic settings, highlighting the importance of both diagnostic validation and understanding the context-specific ecological, physical, and sociodemographic factors driving the spread of fecal contamination. We assessed fecal contamination of compounds (clusters of 2-10 households that share sanitation facilities) in low-income neighborhoods of urban Maputo, Mozambique, using a set of MST assays that were validated with animal stool and latrine sludge from study compounds. We sampled five environmental compartments involved in fecal microbe transmission and exposure: compound water source, household stored water and food preparation surfaces, and soil from the entrance to the compound latrine and the entrances to each household. Each sample was analyzed by culture for the general fecal indicator Escherichia coli (cEC) and by real-time PCR for the E. coli molecular marker EC23S857, human-associated markers HF183/BacR287 and Mnif, and GFD, an avian-associated marker. We collected 366 samples from 94 households in 58 compounds. At least one microbial target (indicator organism or marker gene) was detected in 96% of samples (353/366), with both E. coli targets present in the majority of samples (78%). Human targets were frequently detected in soils (59%) and occasionally in stored water (17%) but seldom in source water or on food surfaces. The avian target GFD was rarely detected in any sample type but was most common in soils (4%). To identify risk factors of fecal contamination, we estimated associations with sociodemographic, meteorological, and physical sample characteristics for each microbial target and sample type combination using Bayesian censored regression for target concentration responses and Bayesian logistic regression for target detection status. Associations with risk factors were generally weak and often differed in direction between different targets and sample types, though relationships were somewhat more consistent for physical sample characteristics. Wet soils were associated with elevated concentrations of cEC and EC23S857 and odds of detecting HF183. Water storage container characteristics that expose the contents to potential contact with hands and other objects were weakly associated with human target detection. Our results describe a setting impacted by pervasive domestic fecal contamination, including from human sources, that was largely disconnected from the observed variation in socioeconomic and sanitary conditions. This pattern suggests that in such highly contaminated settings, transformational changes to the community environment may be required before meaningful impacts on fecal contamination can be realized.
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Affiliation(s)
- David A Holcomb
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Jackie Knee
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Trent Sumner
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Zaida Adriano
- We Consult, Maputo, Mozambique; Departamento de Geografia, Universidade Eduardo Mondlane, Maputo, Mozambique
| | | | - Rassul Nalá
- Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique
| | - Oliver Cumming
- Department of Disease Control, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Joe Brown
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Jill R Stewart
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
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Ballesté E, Belanche-Muñoz LA, Farnleitner AH, Linke R, Sommer R, Santos R, Monteiro S, Maunula L, Oristo S, Tiehm A A, Stange C, Blanch AR. Improving the identification of the source of faecal pollution in water using a modelling approach: From multi-source to aged and diluted samples. WATER RESEARCH 2020; 171:115392. [PMID: 31865126 DOI: 10.1016/j.watres.2019.115392] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 12/09/2019] [Accepted: 12/11/2019] [Indexed: 05/20/2023]
Abstract
The last decades have seen the development of several source tracking (ST) markers to determine the source of pollution in water, but none of them show 100% specificity and sensitivity. Thus, a combination of several markers might provide a more accurate classification. In this study Ichnaea® software was improved to generate predictive models, taking into account ST marker decay rates and dilution factors to reflect the complexity of ecosystems. A total of 106 samples from 4 sources were collected in 5 European regions and 30 faecal indicators and ST markers were evaluated, including E. coli, enterococci, clostridia, bifidobacteria, somatic coliphages, host-specific bacteria, human viruses, host mitochondrial DNA, host-specific bacteriophages and artificial sweeteners. Models based on linear discriminant analysis (LDA) able to distinguish between human and non-human faecal pollution and identify faecal pollution of several origins were developed and tested with 36 additional laboratory-made samples. Almost all the ST markers showed the potential to correctly target their host in the 5 areas, although some were equivalent and redundant. The LDA-based models developed with fresh faecal samples were able to differentiate between human and non-human pollution with 98.1% accuracy in leave-one-out cross-validation (LOOCV) when using 2 molecular human ST markers (HF183 and HMBif), whereas 3 variables resulted in 100% correct classification. With 5 variables the model correctly classified all the fresh faecal samples from 4 different sources. Ichnaea® is a machine-learning software developed to improve the classification of the faecal pollution source in water, including in complex samples. In this project the models were developed using samples from a broad geographical area, but they can be tailored to determine the source of faecal pollution for any user.
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Affiliation(s)
- Elisenda Ballesté
- Dept. Genetics, Microbiology and Statistics, University of Barcelona, Catalonia, Spain.
| | | | - Andreas H Farnleitner
- Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Getreidemarkt 9/166, 1060, Vienna, Austria; Karl Landsteiner University of Health Sciences, Research Division Water Quality and Health, Dr.-Karl-Dorrek-Straße 30, 3500, Krems an der Donau, Austria
| | - Rita Linke
- Institute of Chemical, Environmental and Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostics 166/5/3, TU Wien, Getreidemarkt 9/166, 1060, Vienna, Austria
| | - Regina Sommer
- Unit of Water Hygiene, Institute for Hygiene and Applied Immunology, Medical University of Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria
| | - Ricardo Santos
- Laboratório Analises, Instituto Superior Tecnico. Universidade Lisboa, Lisbon, Portugal
| | - Silvia Monteiro
- Laboratório Analises, Instituto Superior Tecnico. Universidade Lisboa, Lisbon, Portugal
| | - Leena Maunula
- Dept. Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Finland
| | - Satu Oristo
- Dept. Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Finland
| | - Andreas Tiehm A
- Dept. Microbiology and Molecular Biology, DVGW-Technologiezentrum Wasser, Germany
| | - Claudia Stange
- Dept. Microbiology and Molecular Biology, DVGW-Technologiezentrum Wasser, Germany
| | - Anicet R Blanch
- Dept. Genetics, Microbiology and Statistics, University of Barcelona, Catalonia, Spain
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Hamzah L, Boehm AB, Davis J, Pickering AJ, Wolfe M, Mureithi M, Harris A. Ruminant Fecal Contamination of Drinking Water Introduced Post-Collection in Rural Kenyan Households. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E608. [PMID: 31963600 PMCID: PMC7027003 DOI: 10.3390/ijerph17020608] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Revised: 01/07/2020] [Accepted: 01/14/2020] [Indexed: 12/25/2022]
Abstract
In sub-Saharan Africa, many families travel to collect water and store it in their homes for daily use, presenting an opportunity for the introduction of fecal contamination. One stored and one source water sample were each collected from 45 households in rural Kenya. All 90 samples were analyzed for fecal indicator bacteria (E. coli and enterococci) and species-specific contamination using molecular microbial source tracking assays. Human (HF183), avian (GFD), and ruminant (BacR) contamination were detected in 52, two, and four samples, respectively. Stored water samples had elevated enterococci concentrations (p < 0.01, Wilcoxon matched pairs test) and more frequent BacR detection (89% versus 27%, p < 0.01, McNemar's exact test) relative to source water samples. fsQCA (fuzzy set qualitative comparative analysis) was conducted on the subset of households with no source water BacR contamination to highlight combinations of factors associated with the introduction of BacR contamination to stored water supplies. Three combinations were identified: (i) ruminants in the compound, safe water extraction methods, and long storage time, (ii) ruminants, unsafe water extraction methods, and no soap at the household handwashing station, and (iii) long storage time and no soap. This suggests that multiple pathways contribute to the transmission of ruminant fecal contamination in this context, which would have been missed if data were analyzed using standard regression techniques.
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Affiliation(s)
- Latifah Hamzah
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA; (L.H.); (A.B.B.); (J.D.); (M.W.)
| | - Alexandria B. Boehm
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA; (L.H.); (A.B.B.); (J.D.); (M.W.)
- Woods Institute for the Environment, Stanford University, Stanford, CA 94305, USA
| | - Jennifer Davis
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA; (L.H.); (A.B.B.); (J.D.); (M.W.)
- Woods Institute for the Environment, Stanford University, Stanford, CA 94305, USA
| | - Amy J. Pickering
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA 01255, USA;
| | - Marlene Wolfe
- Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA; (L.H.); (A.B.B.); (J.D.); (M.W.)
- Innovations for Poverty Action, Nairobi, Kenya;
| | | | - Angela Harris
- Department of Civil, Construction, and Environmental Engineering, NC State University, Raleigh, NC 27695, USA
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Faecal pollution affects abundance and diversity of aquatic microbial community in anthropo-zoogenically influenced lotic ecosystems. Sci Rep 2019; 9:19469. [PMID: 31857659 PMCID: PMC6923421 DOI: 10.1038/s41598-019-56058-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 11/15/2019] [Indexed: 12/14/2022] Open
Abstract
The aquatic microbiota is known to be an important factor in the sustainability of the natural water ecosystems. However, the microbial community also might include pathogens, which result in very serious waterborne diseases in humans and animals. Faecal pollution is the major cause of these diseases. Therefore, it is of immense importance to assess the potential impact of faecal pollution, originating from both anthropogenic and zoogenic sources, on the profile of microbial communities in natural water environments. To this end, the microbial taxonomic diversity of lotic ecosystems in different regions of Norway, representing urban and rural areas, exposed to various levels of faecal pollution, was investigated over the course of a 1-year period. The highest microbial diversity was found in rural water that was the least faecally polluted, while the lowest was found in urban water with the highest faecal contamination. The overall diversity of the aquatic microbial community was significantly reduced in severely polluted water. In addition, the community compositions diverged between waters where the dominant pollution sources were of anthropogenic or zoogenic origin. The results provide new insight into the understanding of how faecal water contamination, specifically that of different origins, influences the microbial diversity of natural waters.
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40
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Malla B, Makise K, Nakaya K, Mochizuki T, Yamada T, Haramoto E. Evaluation of Human- and Animal-Specific Viral Markers and Application of CrAssphage, Pepper Mild Mottle Virus, and Tobacco Mosaic Virus as Potential Fecal Pollution Markers to River Water in Japan. FOOD AND ENVIRONMENTAL VIROLOGY 2019; 11:446-452. [PMID: 31376023 DOI: 10.1007/s12560-019-09398-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Accepted: 07/29/2019] [Indexed: 05/09/2023]
Abstract
Five human-specific markers were detected in 59-74% of 27 human fecal-source samples collected in Yamanashi Prefecture, Japan. Similarly, potential human-specific markers, crAssphage, pepper mild mottle virus (PMMoV), and tobacco mosaic virus were detected in 96-100% of samples, with crAssphage showing the maximum concentration of 12.03 log copies/L. However, these markers were detected in 100% (3/3) of pig fecal-source samples, suggesting their applicability as general fecal pollution markers. Microbial source tracking analysis demonstrated that the rivers are contaminated by human and pig fecal sources. CrAssphage showed higher marker concentrations in river water samples than PMMoV, suggesting the preference of crAssphage to PMMoV as a marker of fecal pollution.
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Affiliation(s)
- Bikash Malla
- Interdisciplinary Center for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan
| | - Koki Makise
- Department of Environmental Sciences, University of Yamanashi, 4-4-37 Takeda, Kofu, Yamanashi, 400-8510, Japan
| | - Koki Nakaya
- Department of Civil and Environmental Engineering, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan
| | - Taizo Mochizuki
- Department of Civil and Environmental Engineering, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan
| | - Takahiro Yamada
- Special Master's Course Program on International River Basin Environmental Science, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan
| | - Eiji Haramoto
- Interdisciplinary Center for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Yamanashi, 400-8511, Japan.
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Paruch L, Paruch AM, Eiken HG, Sørheim R. Aquatic microbial diversity associated with faecal pollution of Norwegian waterbodies characterized by 16S rRNA gene amplicon deep sequencing. Microb Biotechnol 2019; 12:1487-1491. [PMID: 31290258 PMCID: PMC6801177 DOI: 10.1111/1751-7915.13461] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 06/25/2019] [Accepted: 06/25/2019] [Indexed: 12/12/2022] Open
Abstract
Faecal contamination is one of the major factors affecting biological water quality. In this study, we investigated microbial taxonomic diversity of faecally polluted lotic ecosystems in Norway. These ecosystems comprise tributaries of drinking water reservoirs with moderate and high faecal contamination levels, an urban creek exposed to extremely high faecal pollution and a rural creek that was the least faecally polluted. The faecal water contamination had both anthropogenic and zoogenic origins identified through quantitative microbial source tracking applying host-specific Bacteroidales 16S rRNA genetic markers. The microbial community composition revealed that Proteobacteria and Bacteroidetes (70-90% relative abundance) were the most dominant bacterial phyla, followed by Firmicutes, especially in waters exposed to anthropogenic faecal contamination. The core archaeal community consisted of Parvarchaeota (mainly in the tributaries of drinking water reservoirs) and Crenarchaeota (in the rural creek). The aquatic microbial diversity was substantially reduced in water with severe faecal contamination. In addition, the community compositions diverge between waters with dominant anthropogenic or zoogenic pollution origins. These findings present novel interpretations of the effect of anthropo-zoogenic faecal water contamination on microbial diversity in lotic ecosystems.
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MESH Headings
- Archaea/classification
- Archaea/genetics
- Bacteria/classification
- Bacteria/genetics
- Cluster Analysis
- DNA, Archaeal/chemistry
- DNA, Archaeal/genetics
- DNA, Bacterial/chemistry
- DNA, Bacterial/genetics
- DNA, Ribosomal/chemistry
- DNA, Ribosomal/genetics
- Feces
- Genes, rRNA
- High-Throughput Nucleotide Sequencing
- Microbiota
- Norway
- Phylogeny
- RNA, Ribosomal, 16S/genetics
- Sequence Analysis, DNA
- Water Microbiology
- Water Pollution
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Affiliation(s)
- Lisa Paruch
- Division of Environment and Natural ResourcesNorwegian Institute of Bioeconomy Research (NIBIO)Fredrik A. Dahls vei 201433AasNorway
| | - Adam M. Paruch
- Division of Environment and Natural ResourcesNorwegian Institute of Bioeconomy Research (NIBIO)Fredrik A. Dahls vei 201433AasNorway
| | - Hans Geir Eiken
- Division of Environment and Natural ResourcesNorwegian Institute of Bioeconomy Research (NIBIO)Fredrik A. Dahls vei 201433AasNorway
| | - Roald Sørheim
- Division of Environment and Natural ResourcesNorwegian Institute of Bioeconomy Research (NIBIO)Fredrik A. Dahls vei 201433AasNorway
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Youngblut ND, Reischer GH, Walters W, Schuster N, Walzer C, Stalder G, Ley RE, Farnleitner AH. Host diet and evolutionary history explain different aspects of gut microbiome diversity among vertebrate clades. Nat Commun 2019; 10:2200. [PMID: 31097702 PMCID: PMC6522487 DOI: 10.1038/s41467-019-10191-3] [Citation(s) in RCA: 233] [Impact Index Per Article: 46.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 04/25/2019] [Indexed: 02/06/2023] Open
Abstract
Multiple factors modulate microbial community assembly in the vertebrate gut, though studies disagree as to their relative contribution. One cause may be a reliance on captive animals, which can have very different gut microbiomes compared to their wild counterparts. To resolve this disagreement, we analyze a new, large, and highly diverse animal distal gut 16 S rRNA microbiome dataset, which comprises 80% wild animals and includes members of Mammalia, Aves, Reptilia, Amphibia, and Actinopterygii. We decouple the effects of host evolutionary history and diet on gut microbiome diversity and show that each factor modulates different aspects of diversity. Moreover, we resolve particular microbial taxa associated with host phylogeny or diet and show that Mammalia have a stronger signal of cophylogeny. Finally, we find that environmental filtering and microbe-microbe interactions differ among host clades. These findings provide a robust assessment of the processes driving microbial community assembly in the vertebrate intestine.
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Affiliation(s)
- Nicholas D Youngblut
- Department of Microbiome Science, Max Planck Institute for Developmental Biology, Max Planck Ring 5, 72076, Tübingen, Germany.
| | - Georg H Reischer
- TU Wien, Institute of Chemical, Environmental and Bioscience Engineering, Research Group for Environmental Microbiology and Molecular Diagnostics 166/5/3, Gumpendorfer Straße 1a, 1060, Vienna, Austria
- ICC Interuniversity Cooperation Centre Water & Health, 1160, Vienna, Austria
| | - William Walters
- Department of Microbiome Science, Max Planck Institute for Developmental Biology, Max Planck Ring 5, 72076, Tübingen, Germany
| | - Nathalie Schuster
- TU Wien, Institute of Chemical, Environmental and Bioscience Engineering, Research Group for Environmental Microbiology and Molecular Diagnostics 166/5/3, Gumpendorfer Straße 1a, 1060, Vienna, Austria
| | - Chris Walzer
- Research Institute of Wildlife Ecology, University of Veterinary Medicine, Vienna, 1160, Austria
| | - Gabrielle Stalder
- Research Institute of Wildlife Ecology, University of Veterinary Medicine, Vienna, 1160, Austria
| | - Ruth E Ley
- Department of Microbiome Science, Max Planck Institute for Developmental Biology, Max Planck Ring 5, 72076, Tübingen, Germany
| | - Andreas H Farnleitner
- TU Wien, Institute of Chemical, Environmental and Bioscience Engineering, Research Group for Environmental Microbiology and Molecular Diagnostics 166/5/3, Gumpendorfer Straße 1a, 1060, Vienna, Austria
- ICC Interuniversity Cooperation Centre Water & Health, 1160, Vienna, Austria
- Research Division Water Quality and Health, Karl Landsteiner University for Health Sciences, 3500, Krems an der Donau, Austria
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43
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Vadde KK, McCarthy AJ, Rong R, Sekar R. Quantification of Microbial Source Tracking and Pathogenic Bacterial Markers in Water and Sediments of Tiaoxi River (Taihu Watershed). Front Microbiol 2019; 10:699. [PMID: 31105648 PMCID: PMC6492492 DOI: 10.3389/fmicb.2019.00699] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 03/20/2019] [Indexed: 12/13/2022] Open
Abstract
Taihu Lake is one of the largest freshwater lakes in China, serving as an important source of drinking water; >60% of source water to this lake is provided by the Tiaoxi River. This river faces serious fecal contamination issues, and therefore, a comprehensive investigation to identify the sources of fecal contamination was carried out and is presented here. The performance of existing universal (BacUni and GenBac), human (HF183-Taqman, HF183-SYBR, BacHum, and Hum2), swine (Pig-2-Bac), ruminant (BacCow), and avian (AV4143 and GFD) associated microbial source tracking (MST) markers was evaluated prior to their application in this region. The specificity and sensitivity results indicated that BacUni, HF183-TaqMan, Pig-2-Bac, and GFD assays are the most suitable in identifying human and animal fecal contamination. Therefore, these markers along with marker genes specific to selected bacterial pathogens were quantified in water and sediment samples of the Tiaoxi River, collected from 15 locations over three seasons during 2014 and 2015. Total/universal Bacteroidales markers were detected in all water and sediment samples (mean concentration 6.22 log10 gene copies/100 ml and 6.11 log10 gene copies/gram, respectively), however, the detection of host-associated MST markers varied. Human and avian markers were the most frequently detected in water samples (97 and 89%, respectively), whereas in sediment samples, only human-associated markers were detected more often (86%) than swine (64%) and avian (8.8%) markers. The results indicate that several locations in the Tiaoxi River are heavily polluted by fecal contamination and this correlated well with land use patterns. Among the five bacterial pathogens tested, Shigella spp. and Campylobacter jejuni were the most frequently detected pathogens in water (60% and 62%, respectively) and sediment samples (91% and 53%, respectively). Shiga toxin-producing Escherichia coli (STEC) and pathogenic Leptospira spp. were less frequently detected in water samples (55% and 33%, respectively) and sediment samples (51% and 13%, respectively), whereas E. coli O157:H7 was only detected in sediment samples (11%). Overall, the higher prevalence and concentrations of Campylobacter jejuni, Shigella spp., and STEC, along with the MST marker detection at a number of locations in the Tiaoxi River, indicates poor water quality and a significant human health risk associated with this watercourse. GRAPHICAL ABSTRACTTracking fecal contamination and pathogens in watersheds using molecular methods.
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Affiliation(s)
- Kiran Kumar Vadde
- Department of Biological Sciences, Xi’an Jiaotong-Liverpool University, Suzhou, China
| | - Alan J. McCarthy
- Microbiology Research Group, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Rong Rong
- Department of Biological Sciences, Xi’an Jiaotong-Liverpool University, Suzhou, China
| | - Raju Sekar
- Department of Biological Sciences, Xi’an Jiaotong-Liverpool University, Suzhou, China
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44
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Kolm C, Martzy R, Führer M, Mach RL, Krska R, Baumgartner S, Farnleitner AH, Reischer GH. Detection of a microbial source tracking marker by isothermal helicase-dependent amplification and a nucleic acid lateral-flow strip test. Sci Rep 2019; 9:393. [PMID: 30674936 PMCID: PMC6344534 DOI: 10.1038/s41598-018-36749-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Accepted: 11/23/2018] [Indexed: 11/25/2022] Open
Abstract
Over the last decades, various PCR-based methods have been proposed that can identify sources of faecal pollution in environmental waters. These microbial source tracking (MST) methods are powerful tools to manage water quality and support public health risk assessment. However, their application is limited by the lack of specialized equipment and trained personnel in laboratories performing microbiological water quality assessment. Here, we describe a novel molecular method that combines helicase-dependent amplification (HDA) with a strip test for detecting ruminant faecal pollution sources. Unlike quantitative PCR (qPCR), the developed HDA-strip assay only requires a heating block to amplify the ruminant-associated Bacteroidetes 16S rRNA marker (BacR). Following HDA, the reaction mixture can be directly applied onto the test strip, which detects and displays the amplification products by marker-specific hybridization probes via an on-strip colorimetric reaction. The entire assay takes two hours and demands no extensive practical training. Furthermore, the BacR HDA-strip assay achieved comparable results in head-to-head performance tests with the qPCR reference, in which we investigated source-sensitivity and source-specificity, the analytical limit of detection, and the sample limit of detection. Although this approach only yields qualitative results, it can pave a way for future simple-to-use MST screening tools.
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Affiliation(s)
- Claudia Kolm
- TU Wien, Institute of Chemical, Environmental & Bioscience Engineering, Molecular Diagnostics Group, Department IFA-Tulln, Tulln, Austria
- ICC Interuniversity Cooperation Centre Water & Health, Vienna, Austria
| | - Roland Martzy
- TU Wien, Institute of Chemical, Environmental & Bioscience Engineering, Molecular Diagnostics Group, Department IFA-Tulln, Tulln, Austria
- ICC Interuniversity Cooperation Centre Water & Health, Vienna, Austria
| | - Manuela Führer
- University of Natural Resources and Life Sciences, Vienna (BOKU), Department IFA-Tulln, Center for Analytical Chemistry, Tulln, Austria
| | - Robert L Mach
- TU Wien, Institute of Chemical, Environmental & Bioscience Engineering, Research Division Biochemical Technology, Research Group Synthetic Biology and Molecular Biotechnology, Vienna, Austria
| | - Rudolf Krska
- University of Natural Resources and Life Sciences, Vienna (BOKU), Department IFA-Tulln, Center for Analytical Chemistry, Tulln, Austria
- Queen's University Belfast, School of Biological Sciences, Institute for Global Food Security, Belfast, Northern Ireland, United Kingdom
| | - Sabine Baumgartner
- University of Natural Resources and Life Sciences, Vienna (BOKU), Department IFA-Tulln, Center for Analytical Chemistry, Tulln, Austria
| | - Andreas H Farnleitner
- ICC Interuniversity Cooperation Centre Water & Health, Vienna, Austria
- Karl Landsteiner University of Health Sciences, Research Unit Water Quality and Health, Krems, Austria
- TU Wien, Institute of Chemical, Environmental & Bioscience Engineering, Research Division Biochemical Technology, Research Group of Environmental Microbiology and Molecular Diagnostics, Vienna, Austria
| | - Georg H Reischer
- TU Wien, Institute of Chemical, Environmental & Bioscience Engineering, Molecular Diagnostics Group, Department IFA-Tulln, Tulln, Austria.
- TU Wien, Institute of Chemical, Environmental & Bioscience Engineering, Research Division Biochemical Technology, Research Group of Environmental Microbiology and Molecular Diagnostics, Vienna, Austria.
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45
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García-Aljaro C, Blanch AR, Campos C, Jofre J, Lucena F. Pathogens, faecal indicators and human-specific microbial source-tracking markers in sewage. J Appl Microbiol 2019; 126:701-717. [PMID: 30244503 DOI: 10.1111/jam.14112] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 09/12/2018] [Accepted: 09/18/2018] [Indexed: 02/06/2023]
Abstract
The objective of this review is to assess the current state of knowledge of pathogens, general faecal indicators and human-specific microbial source tracking markers in sewage. Most of the microbes present in sewage are from the microbiota of the human gut, including pathogens. Bacteria and viruses are the most abundant groups of microbes in the human gut microbiota. Most reports on this topic show that raw sewage microbiological profiles reflect the human gut microbiota. Human and animal faeces share many commensal microbes as well as pathogens. Faecal-orally transmitted pathogens constitute a serious public health problem that can be minimized through sanitation. Assessing both the sanitation processes and the contribution of sewage to the faecal contamination of water bodies requires knowledge of the content of pathogens in sewage, microbes indicating general faecal contamination and microbes that are only present in human faecal remains, which are known as the human-specific microbial source-tracking (MST) markers. Detection of pathogens would be the ideal option for managing sanitation and determining the microbiological quality of waters contaminated by sewage; but at present, this is neither practical nor feasible in routine testing. Traditionally, faecal indicator bacteria have been used as surrogate indicators of general faecal residues. However, in many water management circumstances, it becomes necessary to detect both the origin of faecal contamination, for which MST is paramount, and live micro-organisms, for which molecular methods are not suitable. The presence and concentrations of pathogens, general faecal indicators and human-specific MST markers most frequently reported in different areas of the world are summarized in this review.
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Affiliation(s)
- C García-Aljaro
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain.,The Water Research Institute, University of Barcelona, Barcelona, Spain
| | - A R Blanch
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain.,The Water Research Institute, University of Barcelona, Barcelona, Spain
| | - C Campos
- Departamento de Microbiología, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - J Jofre
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain.,The Water Research Institute, University of Barcelona, Barcelona, Spain
| | - F Lucena
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain.,The Water Research Institute, University of Barcelona, Barcelona, Spain
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46
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Assessment and application of host-specific Bacteroidales genetic markers for microbial source tracking of river water in Japan. PLoS One 2018; 13:e0207727. [PMID: 30444920 PMCID: PMC6239337 DOI: 10.1371/journal.pone.0207727] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 11/05/2018] [Indexed: 11/19/2022] Open
Abstract
Microbial source tracking using host-specific microbial genetic markers is considered a promising approach to determine fecal contamination sources of aquatic environments. This study aimed to assess the application of previously developed host-specific Bacteroidales quantitative PCR assays to microbial source tracking of river water samples in Yamanashi Prefecture, Japan. Various types of fecal-source samples, such as raw sewage, secondary-treated sewage of a wastewater treatment plant, and cattle feces, were used for three human-, two ruminant- and two pig-specific Bacteroidales quantitative PCR assays. Our results demonstrated that BacHum, BacR and Pig2Bac assays as suitable human-, ruminant- and pig-specific assays, with an accuracy of 86%, 94% and 77%, respectively. These selected assays were used for microbial source tracking of 63 river water samples collected at nine sites in two river basins. From these sites, there were 48 (76%), 34 (54%) and 9 (14%) positive samples using the BacHum, BacR and Pig2Bac assays, respectively. These assays revealed the effects of humans and animals on fecal contamination of river water.
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47
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Dila DK, Corsi SR, Lenaker PL, Baldwin AK, Bootsma MJ, McLellan SL. Patterns of Host-Associated Fecal Indicators Driven by Hydrology, Precipitation, and Land Use Attributes in Great Lakes Watersheds. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:11500-11509. [PMID: 30192524 PMCID: PMC6437017 DOI: 10.1021/acs.est.8b01945] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Fecal contamination from sewage and agricultural runoff is a pervasive problem in Great Lakes watersheds. Most work examining fecal pollution loads relies on discrete samples of fecal indicators and modeling land use. In this study, we made empirical measurements of human and ruminant-associated fecal indicator bacteria and combined these with hydrological measurements in eight watersheds ranging from predominantly forested to highly urbanized. Flow composited river samples were collected over low-flow ( n = 89) and rainfall or snowmelt runoff events ( n = 130). Approximately 90% of samples had evidence of human fecal pollution, with highest loads from urban watersheds. Ruminant indicators were found in ∼60-100% of runoff-event samples in agricultural watersheds, with concentrations and loads related to cattle density. Rain depth, season, agricultural tile drainage, and human or cattle density explained variability in daily flux of human or ruminant indicators. Mapping host-associated indicator loads to watershed discharge points sheds light on the type, level, and possible health risk from fecal pollution entering the Great Lakes and can inform total maximum daily load implementation and other management practices to target specific fecal pollution sources.
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Affiliation(s)
- Deborah K. Dila
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53204, USA
| | - Steven R. Corsi
- U.S. Geological Survey, Wisconsin Water Science Center, Middleton, WI 53562, USA
| | - Peter L. Lenaker
- U.S. Geological Survey, Wisconsin Water Science Center, Middleton, WI 53562, USA
| | - Austin K. Baldwin
- U.S. Geological Survey, Idaho Water Science Center, Boise, ID 83702, USA
| | - Melinda J. Bootsma
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53204, USA
| | - Sandra L. McLellan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53204, USA
- Corresponding Author:
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48
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Ballesté E, García-Aljaro C, Blanch AR. Assessment of the decay rates of microbial source tracking molecular markers and faecal indicator bacteria from different sources. J Appl Microbiol 2018; 125:1938-1949. [PMID: 30066371 DOI: 10.1111/jam.14058] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2017] [Revised: 07/11/2018] [Accepted: 07/28/2018] [Indexed: 01/18/2023]
Abstract
AIMS Evaluate the T90 and compare the decay of different faecal indicator bacteria (FIB) and molecular microbial source tracking (MST) markers of human and animal sources during summer and winter. METHODS AND RESULTS The persistence of Escherichia coli and enterococci and several MST molecular markers targeting host-specific Bifidobacterium and Bacteroidales species (BifHM, BifCW, BifPL, HF183/BFD, Rum2Bac and Pig2Bac) was assessed at the same time using mesocosms. Dialysis bags filled with diluted wastewater from different sources were kept in an outdoor water tank and monitored regularly to assess the inactivation rates. The T90 values of E. coli by culture methods ranged from 1·52 to 5·69 days in summer and 2·06 to 6·19 days in winter, whereas with qPCR 2·29-4·23 days in summer and 4·17-8·09 days in winter. T90 values for enterocci ranged from 1·15 to 3·10 days in summer and from 3·01 to 5·46 days in winter. Significant differences were observed between faecal sources for both markers. For the MST makers similar T90 values were obtained in summer (1·05-1·91 days), whereas higher variability was observed in winter (2·90-6·12 days). CONCLUSIONS Different decay rates were observed for the FIB from the different sources, especially for E. coli in ruminant samples. A higher variability among T90 values of the different MST markers in winter was observed, whereas similar T90 values were detected in summer highlighting the stronger effect of environmental parameters during this season. SIGNIFICANCE AND IMPACT OF THE STUDY The diverse inactivation rates observed in bacteria from different faecal sources have implications when these rates are used to model faecal pollution in water. The use of FIBT90 of different sources is essential to develop reliable predictive models. Since different inactivation of E. coli regarding the source of pollution has been observed, the source of the pollution has to be considered for modelling approaches.
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Affiliation(s)
- E Ballesté
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Catalonia, Spain
| | - C García-Aljaro
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Catalonia, Spain
| | - A R Blanch
- Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Catalonia, Spain
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49
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Malla B, Ghaju Shrestha R, Tandukar S, Bhandari D, Inoue D, Sei K, Tanaka Y, Sherchand JB, Haramoto E. Validation of host-specific Bacteroidales quantitative PCR assays and their application to microbial source tracking of drinking water sources in the Kathmandu Valley, Nepal. J Appl Microbiol 2018; 125:609-619. [PMID: 29679435 DOI: 10.1111/jam.13884] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Revised: 03/15/2018] [Accepted: 04/03/2018] [Indexed: 11/28/2022]
Abstract
AIMS To validate host-specific Bacteroidales assays to identify faecal-source contamination of drinking water sources in the Kathmandu Valley, Nepal. METHODS AND RESULTS A total of 54 composite faecal-source samples were collected from human sewage, ruminants, pigs, dogs, chickens and ducks, which were analysed by quantitative polymerase chain reaction using human-specific (BacHum, HF183 SYBR, gyrB and HF183 TaqMan), ruminant-specific (BacCow and BacR), pig-specific (Pig2Bac and PF163) and dog-specific assays (BacCan SYBR). The BacHum, BacR and Pig2Bac assays were judged the best performing human-specific, ruminant-specific and pig-specific assays respectively. The BacCan SYBR assay highly cross-reacted with other species, resulting in poor performance. Furthermore, these validated assays were applied to microbial source tracking (MST) of 74 drinking water samples. Out of these, 20, 12 and 4% samples were judged contaminated by human, ruminant and pig faeces respectively. Detection ratios of human and ruminant faecal markers were relatively higher in built-up and agricultural areas respectively. CONCLUSION BacHum, BacR and Pig2Bac assays were found suitable for MST and both, human and animal faecal contaminations of drinking water sources were common in the valley. SIGNIFICANCE AND IMPACT OF THE STUDY MST could be an effective tool for preparing the faecal pollution strategies as these are site specific.
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Affiliation(s)
- B Malla
- Department of Natural, Biotic and Social Environment Engineering, University of Yamanashi, Kofu, Yamanashi, Japan
| | - R Ghaju Shrestha
- Department of Natural, Biotic and Social Environment Engineering, University of Yamanashi, Kofu, Yamanashi, Japan
| | - S Tandukar
- Department of Natural, Biotic and Social Environment Engineering, University of Yamanashi, Kofu, Yamanashi, Japan
| | - D Bhandari
- Institute of Medicine, Tribhuvan University, Maharajgunj, Kathmandu, Nepal
| | - D Inoue
- Division of Sustainable Energy and Environmental Engineering, Osaka University, Suita, Osaka, Japan
| | - K Sei
- Department of Health Science, Kitasato University, Sagamihara, Kanagawa, Japan
| | - Y Tanaka
- Department of Environmental Sciences, University of Yamanashi, Kofu, Yamanashi, Japan
| | - J B Sherchand
- Institute of Medicine, Tribhuvan University, Maharajgunj, Kathmandu, Nepal
| | - E Haramoto
- Interdisciplinary Center for River Basin Environment, University of Yamanashi, Kofu, Yamanashi, Japan
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50
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Mayer R, Reischer GH, Ixenmaier SK, Derx J, Blaschke AP, Ebdon JE, Linke R, Egle L, Ahmed W, Blanch AR, Byamukama D, Savill M, Mushi D, Cristóbal HA, Edge TA, Schade MA, Aslan A, Brooks YM, Sommer R, Masago Y, Sato MI, Taylor HD, Rose JB, Wuertz S, Shanks OC, Piringer H, Mach RL, Savio D, Zessner M, Farnleitner AH. Global Distribution of Human-Associated Fecal Genetic Markers in Reference Samples from Six Continents. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:5076-5084. [PMID: 29570973 PMCID: PMC5932593 DOI: 10.1021/acs.est.7b04438] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 03/09/2018] [Accepted: 03/23/2018] [Indexed: 05/19/2023]
Abstract
Numerous bacterial genetic markers are available for the molecular detection of human sources of fecal pollution in environmental waters. However, widespread application is hindered by a lack of knowledge regarding geographical stability, limiting implementation to a small number of well-characterized regions. This study investigates the geographic distribution of five human-associated genetic markers (HF183/BFDrev, HF183/BacR287, BacHum-UCD, BacH, and Lachno2) in municipal wastewaters (raw and treated) from 29 urban and rural wastewater treatment plants (750-4 400 000 population equivalents) from 13 countries spanning six continents. In addition, genetic markers were tested against 280 human and nonhuman fecal samples from domesticated, agricultural and wild animal sources. Findings revealed that all genetic markers are present in consistently high concentrations in raw (median log10 7.2-8.0 marker equivalents (ME) 100 mL-1) and biologically treated wastewater samples (median log10 4.6-6.0 ME 100 mL-1) regardless of location and population. The false positive rates of the various markers in nonhuman fecal samples ranged from 5% to 47%. Results suggest that several genetic markers have considerable potential for measuring human-associated contamination in polluted environmental waters. This will be helpful in water quality monitoring, pollution modeling and health risk assessment (as demonstrated by QMRAcatch) to guide target-oriented water safety management across the globe.
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Affiliation(s)
- René
E. Mayer
- Research
Group Environmental Microbiology and Molecular
Diagnostics 166-5-3, Institute of Chemical, Environmental
and Bioscience Engineering, TU Wien, 1060 Vienna, Austria
- Interuniversity
Cooperation Centre Water & Health, Vienna, Austria
| | - Georg H. Reischer
- Research
Group Environmental Microbiology and Molecular
Diagnostics 166-5-3, Institute of Chemical, Environmental
and Bioscience Engineering, TU Wien, 1060 Vienna, Austria
- Molecular
Diagnostics Group, IFA-Tulln, Institute
of Chemical, Environmental and Bioscience Engineering, TU Wien, 3430 Tulln, Austria
| | - Simone K. Ixenmaier
- Research
Group Environmental Microbiology and Molecular
Diagnostics 166-5-3, Institute of Chemical, Environmental
and Bioscience Engineering, TU Wien, 1060 Vienna, Austria
- Interuniversity
Cooperation Centre Water & Health, Vienna, Austria
| | - Julia Derx
- Interuniversity
Cooperation Centre Water & Health, Vienna, Austria
- Institute of Hydraulic
Engineering and Water Resources Management, TU Wien, 1040 Vienna, Austria
| | - Alfred Paul Blaschke
- Interuniversity
Cooperation Centre Water & Health, Vienna, Austria
- Institute of Hydraulic
Engineering and Water Resources Management, TU Wien, 1040 Vienna, Austria
| | - James E. Ebdon
- Environment
& Public Health Research and Enterprise Group, School of Environment
and Technology, University of Brighton, BN2 4GJ Brighton, U.K.
| | - Rita Linke
- Research
Group Environmental Microbiology and Molecular
Diagnostics 166-5-3, Institute of Chemical, Environmental
and Bioscience Engineering, TU Wien, 1060 Vienna, Austria
- Interuniversity
Cooperation Centre Water & Health, Vienna, Austria
| | - Lukas Egle
- Institute for Water Quality
and Resource Management, TU Wien, 1040 Vienna, Austria
| | - Warish Ahmed
- CSIRO
Land and Water, Ecosciences Precinct, 41 Boggo Road, Qld 4102, Australia
| | - Anicet R. Blanch
- Department
of Genetics, Microbiology and Statistics, University of Barcelona, 08028 Barcelona, Spain
| | - Denis Byamukama
- Department
of Biochemistry, Makerere University, P.O. Box 27755 Kampala, Uganda
| | - Marion Savill
- Affordable Water Limited, 1011 Auckland, New Zealand
| | - Douglas Mushi
- Department
of Biosciences, Sokoine University of Agriculture, PO BOX 3038, Morogoro, Tanzania
| | - Héctor A. Cristóbal
- Laboratorio
de Aguas y Suelos, Instituto de Investigaciones para la Industria
Química (INIQUI), Consejo Nacional
de Investigaciones Científicas y Técnicas and Universidad
Nacional de Salta, CP 4400 Salta, Argentina
| | - Thomas A. Edge
- Environment and Climate Change Canada, Canada Centre for Inland Waters, Burlington, L7S 1A1, Ontario, Canada
| | | | - Asli Aslan
- Department
of Epidemiology and Environmental Health Sciences, Georgia Southern University, Statesboro, 30460 Georgia, United States
| | - Yolanda M. Brooks
- Department of Fisheries and Wildlife, Michigan State University East Lansing, 48824 Michigan, United States
| | - Regina Sommer
- Interuniversity
Cooperation Centre Water & Health, Vienna, Austria
- Institute
for Hygiene and Applied Immunology, Water Hygiene, Medical University of Vienna, 1090 Vienna, Austria
| | - Yoshifumi Masago
- New
Industry Creation Hatchery Center, Tohoku
University, 980-8579 Sendai, Japan
| | - Maria I. Sato
- Departamento
de Análises Ambientais, CETESB -
Cia. Ambiental do Estado de São Paulo, 05459-900 São
Paulo, Brasil
| | - Huw D. Taylor
- Environment
& Public Health Research and Enterprise Group, School of Environment
and Technology, University of Brighton, BN2 4GJ Brighton, U.K.
| | - Joan B. Rose
- Department of Fisheries and Wildlife, Michigan State University East Lansing, 48824 Michigan, United States
| | - Stefan Wuertz
- Singapore Centre
for Environmental Life Sciences Engineering and
School of Civil and Environmental Engineering, Nanyang Technological University, 637551 Singapore
| | - Orin C. Shanks
- U.S. Environmental Protection Agency, Office
of Research and Development, 45268 Cincinnati, Ohio, United States
| | | | - Robert L. Mach
- Research Division Biochemical Technology, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, 1060 Vienna, Austria
| | - Domenico Savio
- Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, 3500 Krems an der Donau, Austria
| | - Matthias Zessner
- Institute for Water Quality
and Resource Management, TU Wien, 1040 Vienna, Austria
| | - Andreas H. Farnleitner
- Research
Group Environmental Microbiology and Molecular
Diagnostics 166-5-3, Institute of Chemical, Environmental
and Bioscience Engineering, TU Wien, 1060 Vienna, Austria
- Interuniversity
Cooperation Centre Water & Health, Vienna, Austria
- Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, 3500 Krems an der Donau, Austria
- Phone: +43 664 605882244; e-mail:
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