Recipient Organization
EAST CAROLINA UNIVERSITY
EAST 5TH STREET
GREENVILLE,NC 27858
Performing Department
(N/A)
Non Technical Summary
A. Increasing pathogen contamination of esturaine waters are of concern. B. Complexity of loading relationships make it difficult to determine the sources of the pathogens. C. Limited resources require that better methods be developed to determine sources andpathways in order to mitigate. A. To determine sources and pathways for pathogen loading in estuarine waters from a variety of land use types. B. Evaluate a variety of methods for determing those sources --MAR, ribotyping, PFGEhydrologic, watershed assessment. Determinie confounding factors, improved approaches, efficacy of each.
Animal Health Component
90%
Research Effort Categories
Basic
10%
Applied
90%
Developmental
(N/A)
Goals / Objectives
Objectives: The first objective of this project is to further the knowledge base with regards to sources and transport vectors of fecal bacterial contamination. Four watersheds in the coastal zone with various land uses-livestock swine production, residential/ industrial, row-crop agriculture, and forestry -- will be the study sites. Secondly, this project will broaden the DNA and MAR source libraries and further refine and evaluate MAR and genotyping techniques with regards to identifying bacterial sources and pathogen densities relative to E. coli and enterococci indicators. Objective 2a will be to quantify residual levels for antibiotics in the environment and model their fate by testing both the scat and water samples, and by measuring degradation rates and partitioning between dissolved and particulate phases. By determining the antimicrobial residue levels in the respective environment, we will be able to understand the chemical hazard that may be associated with
the representative environmental sources. In addition, we will determine correlation between the chemical residue levels and presence and level of multi-drug resistant strains. Objective 2b will be to identify and partially quantify active, metabolizing pathogenic bacteria in each water and scat sample using stable isotope probing and DGGE. Furthermore the active organisms will be analyzed using PFGE to determine the type of organism and specific antimicrobial resistance genes and related determinants (such as integrons) will be tested using polymerase chain reaction (PCR) etc. Third, this enhanced level of pathogen identification information will analyzed relative to the indicator data to investigate densities of harmful pathogen and antimicrobial resistant strains in estuarine waters relative to the density of the indicator data. This particular data set will be used to develop the source loading rates, identify potential transport vectors to explore management options to improve
the NC Shellfish Sanitation Program. For the various land uses of study, the costs of these strategies will be assessed within the context of their known efficacy for mitigating bacterial contamination. Fourth, training materials for local government officials, planners, and watershed managers will be developed and delivered. Additionally, this information will be used to supplement the curriculum and provide study opportunities for students enrolled at the Duke Marine Lab, as well as the College of Design, School of Veterinary Medicine and Applied Environmental Microbiology programs at NC State University.
Project Methods
Methods: Methods to be employed in this project are divided into three major areas of effort: bacteria source tracking, review and development of management strategies, and dissemination of educational material. Bacterial Source Tracking: A multi-tiered, tool-box approach will be used for the bacterial source tracking effort to differentiate sources and quantify loads of fecal coliform bacteria including: 1) watershed and land use assessment; 2) storm event and grab sample hydrologic monitoring; 3) bacterial store / scat sample library characterization; 4) identification of residual antibiotics in the sample set; 5) identification and partial quantification of the metabolically active population of bacteria in sample sets; 6) isolation of E. coli and enterococci bacteria; followed by 7) Multiple Antibiotic Resistance; 8) Ribotyping; and 9) PFGE analyses.