ArticleApplied and environmental microbiology2015
Toolbox Approaches Using Molecular Markers and 16S rRNA Gene Amplicon Data Sets for Identification of Fecal Pollution in Surface Water.
Article in Applied and environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed.
- Trial
- Assessing the Occurrence of Host-Specific Faecal Indicator Markers in Water Systems as a Function of Water, Sanitation and Hygiene Practices: A Case Study in Rural Communities of Vhembe District Municipality, South Africa.Pathogens (Basel, Switzerland) · 2023Article
- Human Fecal Contamination Corresponds to Changes in the Freshwater Bacterial Communities of a Large River Basin.Microbiology spectrum · 2021Article
- Microbial Diversity Profiling of Gut Microbiota ofMicroorganisms · 2021Article
- 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.Frontiers in microbiology · 2021Article
- Microbial Source Tracking in the Love Creek Watershed, Delaware (USA).Delaware journal of public health · 2021Article
- The Use of Ribosomal RNA as a Microbial Source Tracking Target Highlights the Assay Host-Specificity Requirement in Water Quality Assessments.Frontiers in microbiology · 2021Article
- A Combined Digital PCR and Next Generation DNA-Sequencing Based Approach for Tracking Nearshore Pollutant Dynamics Along the Southwest United States/Mexico Border.Frontiers in microbiology · 2021Article
- Microbial Indicators of Fecal Pollution: Recent Progress and Challenges in Assessing Water Quality.Current environmental health reports · 2020Review
- Influences of Ingredients and Bakers on the Bacteria and Fungi in Sourdough Starters and Bread.mSphere · 2020Article
- Article
- Review
- A comparative assessment of conventional and molecular methods, including MinION nanopore sequencing, for surveying water quality.Scientific reports · 2019Article
- Article
- Fecal source identification using random forest.Microbiome · 2018Article
- Quantifying the Relative Contributions of Environmental Sources to the Microbial Community in an Urban Stream under Dry and Wet Weather Conditions.Applied and environmental microbiology · 2018Article
- Tracking antibiotic resistance gene pollution from different sources using machine-learning classification.Microbiome · 2018Article
- Accounting for Bacterial Overlap Between Raw Water Communities and Contaminating Sources Improves the Accuracy of Signature-Based Microbial Source Tracking.Frontiers in microbiology · 2018Article
- Toward Forensic Uses of Microbial Source Tracking.Microbiology spectrum · 2018Article
- Regional Assessment of Human Fecal Contamination in Southern California Coastal Drainages.International journal of environmental research and public health · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, host-associated molecular markers and bacterial 16S rRNA gene community analysis using high-throughput sequencing were used to identify the sources of fecal pollution in environmental waters in Brisbane, Australia. A total of 92 fecal and composite wastewater samples were collected from different host groups (cat, cattle, dog, horse, human, and kangaroo), and 18 water samples were collected from six sites (BR1 to BR6) along the Brisbane River in Queensland, Australia. Bacterial communities in the fecal, wastewater, and river water samples were sequenced. Water samples were also tested for the presence of bird-associated (GFD), cattle-associated (CowM3), horse-associated, and human-associated (HF183) molecular markers, to provide multiple lines of evidence regarding the possible presence of fecal pollution associated with specific hosts. Among the 18 water samples tested, 83%, 33%, 17%, and 17% were real-time PCR positive for the GFD, HF183, CowM3, and horse markers, respectively. Among the potential sources of fecal pollution in water samples from the river, DNA sequencing tended to show relatively small contributions from wastewater treatment plants (up to 13% of sequence reads). Contributions from other animal sources were rarely detected and were very small (<3% of sequence reads). Source contributions determined via sequence analysis versus detection of molecular markers showed variable agreement. A lack of relationships among fecal indicator bacteria, host-associated molecular markers, and 16S rRNA gene community analysis data was also observed. Nonetheless, we show that bacterial community and host-associated molecular marker analyses can be combined to identify potential sources of fecal pollution in an urban river. This study is a proof of concept, and based on the results, we recommend using bacterial community analysis (where possible) along with PCR detection or quantification of host-associated molecular markers to provide information on the sources of fecal pollution in waterways.
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