Monitoring and Modeling Non-Point Source Contributions of Host-Specific Fecal Contamination in San Pablo Bay

Fecal contamination from non-point sources in coastal and estuarine water bodies is a problem of increasing concern. Water monitoring alone is sometimes insufficient in providing a clear picture of the fecal contamination of a water body. Well-formulated and developed mathematical and numerical transport models, on the contrary, predict continuous concentrations of microbial indicators under diverse scenarios of interest, and they can quantify fecal source contributions on a land use basis (human versus livestock or wildlife). The present project has demonstrated the utility of quantitative analyses of fecal contamination in water bodies via new experimental measurement techniques as well as mathematical/numerical modeling of the fate and transport of biological contaminants. San Pablo Bay was selected because there is abundant knowledge about the estuarine system and its tributaries and because of the availability of an existing 3-dimensional model. Environmental monitoring of San Pablo Bay was performed with a Microbial Source Tracking (MST) approach that utilized a validated large-volume (100 L) hollowfiber ultrafiltration method to concentrate water, which was then tested with quantitative real-time PCR assays to identify and quantify fecal contamination contributed from general and human-, cow- and dog-specific sources. Monitoring of human viral pathogens (adeno- and enteroviruses) was also performed. Additional samples were also collected to enumerate microbial indicators (E. coli and enterococci). This was the first time that DNA-based molecular assays, which had been previously validated with fecal samples and wastewater effluents in freshwater studies, were applied to an estuarine environment. Monitoring results indicated low-level general and human-derived fecal contamination in the bay, while cow- and dog-derived contamination was not detected, except for one sample which contained dog-specific genetic marker. Human viruses were also below the sample detection limit. The pollution was more likely to come from surrounding urban areas or wastewater treatment facilities than from agricultural farm land or wildlife areas. Another application of the study included the validation of quantitative sea bird-specific molecular DNA assays for the purpose of microbial source tracking to enumerate the contribution of sea birds to fecal contamination. The assay was found to possess adequate sensitivity and specificity and could be applied in the future to archived environmental samples to estimate the contribution from sea birds to bacterial fecal loads in San Pablo Bay and its tributaries. A suite of theoretical and computational tools, ranging from one-dimensional (1-D) to three-dimensional (3-D) models, was developed during this project for the analysis of the fate and transport of Bacteroidales gene markers. These models were paired with existing visualization tools. Flow conditions for the sampling dates were simulated and results compared with velocity observations. Exploratory assessments of water quality in the San Pablo Bay allowed for an incipient characterization of the transport conditions in San Pablo Bay. Future work includes the optimization of the water-quality sub-module of the code in order to a) include sediment transport in the bay; b) obtain more reliable results 3 under a wide set of boundary conditions; and c) be able to simulate a wider set of waterquality parameters. Also, the authors would like to add a user-friendly interface to the code to facilitate decision making by coastal managers.

[1]  Marion W. Jenkins,et al.  Identifying human and livestock sources of fecal contamination in Kenya with host-specific Bacteroidales assays. , 2009, Water research.

[2]  T. Edge,et al.  Phylogenetic Diversity and Molecular Detection of Bacteria in Gull Feces , 2008, Applied and Environmental Microbiology.

[3]  Fabián A. Bombardelli,et al.  Hierarchical modeling of the dilute transport of suspended sediment in open channels , 2008 .

[4]  S. Wuertz,et al.  Molecular quantitative analysis of human viruses in California stormwater. , 2007, Water research.

[5]  S. Wuertz,et al.  16S rRNA-based assays for quantitative detection of universal, human-, cow-, and dog-specific fecal Bacteroidales: a Bayesian approach. , 2007, Water research.

[6]  Stefan Wuertz,et al.  Quo vadis source tracking? Towards a strategic framework for environmental monitoring of fecal pollution. , 2007, Water research.

[7]  Satoshi Okabe,et al.  Relationships between Bacteroides 16S rRNA genetic markers and presence of bacterial enteric pathogens and conventional fecal indicators. , 2007, Water research.

[8]  Donald E. Thompson,et al.  Validation of hollow fiber ultrafiltration and real-time PCR using bacteriophage PP7 as surrogate for the quantification of viruses from water samples. , 2007, Water research.

[9]  A. Farnleitner,et al.  A quantitative real‐time PCR assay for the highly sensitive and specific detection of human faecal influence in spring water from a large alpine catchment area , 2007, Letters in applied microbiology.

[10]  S. Okabe,et al.  Quantification of host-specific Bacteroides–Prevotella 16S rRNA genetic markers for assessment of fecal pollution in freshwater , 2007, Applied Microbiology and Biotechnology.

[11]  V. Gannon,et al.  Detection of Bacteroidales fecal indicators and the zoonotic pathogens E. coli 0157:H7, salmonella, and campylobacter in river water. , 2007, Environmental science & technology.

[12]  A. Farnleitner,et al.  Quantitative PCR Method for Sensitive Detection of Ruminant Fecal Pollution in Freshwater and Evaluation of This Method in Alpine Karstic Regions , 2006, Applied and Environmental Microbiology.

[13]  Daniel E. Williams,et al.  Development of Bacteroides 16S rRNA Gene TaqMan-Based Real-Time PCR Assays for Estimation of Total, Human, and Bovine Fecal Pollution in Water , 2006, Applied and Environmental Microbiology.

[14]  Lisa R. Fogarty,et al.  Comparison of Bacteroides-Prevotella 16S rRNA Genetic Markers for Fecal Samples from Different Animal Species , 2005, Applied and Environmental Microbiology.

[15]  Donald E. Thompson,et al.  MANAGEMENT OF PATHOGENS ASSOCIATED WITH STORM WATER DISCHARGE: METHODOLOGY FOR QUANTITATIVE MOLECULAR DETERMINATION OF VIRUSES, BACTERIA AND PROTOZOA , 2005 .

[16]  Linda K. Dick,et al.  Host Distributions of Uncultivated Fecal Bacteroidales Bacteria Reveal Genetic Markers for Fecal Source Identification , 2005, Applied and Environmental Microbiology.

[17]  Willy Verstraete,et al.  Detection and quantification of the human-specific HF183 Bacteroides 16S rRNA genetic marker with real-time PCR for assessment of human faecal pollution in freshwater. , 2005, Environmental microbiology.

[18]  Linda K. Dick,et al.  Rapid Estimation of Numbers of Fecal Bacteroidetes by Use of a Quantitative PCR Assay for 16S rRNA Genes , 2004, Applied and Environmental Microbiology.

[19]  Sunny C. Jiang,et al.  PCR detection of pathogenic viruses in southern California urban rivers , 2004, Journal of applied microbiology.

[20]  E. James,et al.  Assessment and Management of Watershed Microbial Contaminants , 2004 .

[21]  D. Chandler,et al.  Towards a unified system for detecting waterborne pathogens. , 2003, Journal of microbiological methods.

[22]  Katharine G. Field,et al.  A PCR Assay To Discriminate Human and Ruminant Feces on the Basis of Host Differences in Bacteroides-Prevotella Genes Encoding 16S rRNA , 2000, Applied and Environmental Microbiology.

[23]  Awwa,et al.  Standard Methods for the examination of water and wastewater , 1999 .

[24]  P. E. Smith,et al.  Semi-implicit, numerical schemes for 3-D flow modeling , 1997 .

[25]  T. McPherson,et al.  Experimental Opening of a Coastal California Lagoon: Effect on Bacteriological Quality of Recreational Ocean Waters , 1995 .

[26]  E. Arnold,et al.  Standard methods for the examination of water and wastewater. 16th ed. , 1985 .