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National Hxposure Research Laboratory
Research Abstract
Government Performance Results Act (GPRA) Goal #2
Annual Performance Measure #29
Significant Research Findings:
Temporal and Spatial Variability of Fecal Indicator Bacteria:
Implications for the Application of MST Methodologies to
	Differentiate Sources of Fecal Contamination	
Scientific	The Clean Water Act (CWA) was enacted to restore and maintain the chemical,
Problem and	physical, and biological integrity of the nation's waters in order to support "the
Policy Issues	protection and propagation of fish, shellfish, and wildlife and recreation in and on
the water." Section 303(d) establishes total maximum daily loads (TMDL) as a
process for allocating and reducing the discharge of pollutants that impair a water
body. Because fecal contamination is one of the major causes of water quality
impairments, methods to detect pathogens and pathogen indicators (and track them
to their sources) are needed to allocate TMDLs and reduce the sources of
contamination. Microbial source tracking (MST) is used to determine the sources
of the fecal contamination in impaired water bodies. Temporal variability in the
gastrointestinal flora of animals can produce low source identification rates when
applying MST methods. Understanding how bacterial species and genotypes vary
over time is highly relevant when the fecal material used to create a source library
is collected under different seasonal conditions than the environmental sample. To
date, very few studies have addressed how the temporal stability of fecal indicators
impacts the application and utility of MST.
Research	The objective was to identify and compare the temporal and spatial variability of
Approach	fecal indicator bacteria from a specific host in manure and water samples, and
evaluate the implications of such variability on microbial source tracking
approaches and applications. Escherichia coli and Enterococcus sp. are the two
fecal indicator bacteria that were used by the EPA Office of Water to establish the
current national ambient water quality criteria for assessing microbial
contamination. We selected Enterococcus as the model fecal indicator, given the
supposedly high specificity of some of the species of this genus to the host
organism. Cattle were chosen as the model host organism because of the
documented impact that cattle have on impairment of surface waters. The study
sites are located at a farm where cattle have unrestricted access to the stream.
Enterococci were isolated monthly from water and manure samples using
membrane-Enterococcus Indoxyl-(3-D-Glucoside agar (mEI). A library of over
1,500 isolates was developed. Each isolate was identified using a multiplex PCR
(polymerase chain reaction) procedure that targets the genus and the species-
specific gene superoxide dismutase. Bacteroides markers were also applied to
differentiate human from cattle fecal contamination.

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Results and
Impact
One of the limitations most MST studies have is the inability to understand the
natural variability of bacterial fecal indicator levels. Our results indicate that to
increase the validity of MST studies, the experimental approach should consider:
(1) Conducting a temporal variability assessment when constructing source
libraries and designing the sampling scheme of the source material. (We observed
that Enterococcus species isolated from cattle manure, which were also observed
in the stream samples, exhibited a high degree of seasonal variability, and in some
cases, were absent during certain seasons.) (2) Determining the survival of a
selected bacterial fecal indicator in the environmental matrix of interest. (From 11
Enterococcus species, two were found only in cattle manure, but were not
recovered in stream water; this makes such species unreliable indicators of cattle
fecal contamination in surface waters since they do not survive in this
environment.) (3) Addressing the possibility of finding high background
concentrations of fecal indicator bacteria due to wildlife and non point human
sources. (Results showed that a human-DNA marker was identified in stream areas
not visibly impacted by humans, and a cattle marker was identified in the water
upstream from the cattle-impacted area.) In addition, the results indicate that use
of cluster analysis seems to be a good approach to identify groups of enterococci
species that are specific to a location or source, and suggests that a community
fingerprint rather than an individual species could be as an effective MST
approach. The culture-dependent vs. the culture independent technique applied in
this study differ greatly in terms of cost effectiveness and turn-around time of
results. Time availability (when the results are expected or needed) and funding
support (largely for laboratory consumables) are two important considerations.
Library-independent approaches are generally much faster and possibly less
expensive than library-dependent approaches. However, more research is needed
for field validation and sensitivity testing of available DNA markers.
Research
Collaboration
and Research
Products
This research was performed in collaboration with the laboratory of Dr. Charlene
Jackson from the U.S. Department of Agriculture-Agricultural Research Service
and USEPA Region 4 through the Regional Research Partnership Program. In
addition, statistical analysis was performed by the University of Georgia
Statistical Consulting Services class. Examples of recent publications from this
study include:
Molina, M., Maimes, J., Fisher, J., Johnson, B., and Jackson, C. "Temporal Variability Of
Enterococci Species In Streams Impacted By Cattle Fecal Contamination." Presented at
American Society for Microbiology Annual Meeting, Atlanta, GA, June 05-09, 2005.
Molina, M., and Frick, W.E. "Polymerase Chain Reaction (PCR) Technology In Visual Beach."
Presented at National Beaches Conference, San Diego, CA, October 13-15, 2004.
Frick, W. E., and Molina, M. "Visual Beach: Software For Achieving Beach Aesthetic And Public
Health Protection." Presented at National Beaches Conference, San Diego, CA, October 13-15,
2004.
Johnson, B., and Molina, M. "Using DNA to Identify Sources of Pathogen Contamination."
Presented at the 2004 EPA Science Forum. Washington, D.C., June 9-11, 2004.
Future Research The next phase of this research includes the comparison of DNA fingerprints of
the most important enterococci species identified in the statistical analysis to
determine the temporal variability of the species at the genomic level and whether
a specific pattern can be used as a fecal indicator of cattle contamination in
impaired streams. In addition, culture-independent markers of poultry, cattle and

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human fecal contamination will be temporally and spatially tested under various
environmental conditions.
Contacts for	Questions and inquiries can be directed to:
Additional	Marirosa Molina, Ph.D.
Information	jj.S. EPA, Office of Research and Development
National Exposure Research Laboratory
960 College Station Road
Athens, GA 30605
Phone: 706/355-8113
E-mail: molina.marirosa@epa.gov
Funding for this project was through the U.S. EPA's Office of Research and
Development, National Exposure Research Laboratory, and the work was
conducted by the Ecosystems Research Division.

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