Microbial source tracking (MST) results, obtained using identical sample sets and pulsed field gel electrophoresis (PFGE), repetitive element PCR (rep-PCR) and ribotyping techniques were compared. These methods were performed by six investigators in analysis of duplicate, blind sets of water samples spiked with feces from five possible sources (sewage, human, dog, cow and seagull). Investigators were provided with samples of the fecal material used to inoculate the water samples for host origin database construction. All methods correctly identified the dominant source in the majority of the samples. Modifications of some of these methods correctly identified the dominant sources in over 90% of the samples; however, false positive rates were as high as 57%. The high false positive rates appeared to be indirectly proportional to the levels of stringency applied in pattern analysis. All the methods produced useful data but the results highlighted the need to modify and optimize these methods in order to minimize sources of error.
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Research Article|
December 01 2003
Comparison of genotypic-based microbial source tracking methods requiring a host origin database
Samuel P. Myoda;
1820 Silver Lake Blvd, Suite 220, Dover, DE 19904-2464, USA
Tel: 302.739.4590 Fax: 302.739.6140; E-mail: [email protected]
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C. Andrew Carson;
C. Andrew Carson
2University of Missouri, Department of Veterinary Pathobiology, Columbia, MO 65211, USA
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Jeffry J. Fuhrmann;
Jeffry J. Fuhrmann
3University of Delaware, Department of Plant and Soil Sciences, Newark, DE 19717, USA
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Byoung-Kwon Hahm;
Byoung-Kwon Hahm
4Purdue University, Department of Agronomy, West Lafayette, IN 47907, USA
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Peter G. Hartel;
Peter G. Hartel
5Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602, USA
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Helen Yampara-Iquise;
Helen Yampara-Iquise
2University of Missouri, Department of Veterinary Pathobiology, Columbia, MO 65211, USA
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LeeAnn Johnson;
LeeAnn Johnson
6University of Minnesota, Department of Soil, Water, and Climate, BioTechnology Institute, St Paul, MN 55108, USA
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Robin L. Kuntz;
Robin L. Kuntz
5Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602, USA
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Cindy H. Nakatsu;
Cindy H. Nakatsu
4Purdue University, Department of Agronomy, West Lafayette, IN 47907, USA
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Michael J. Sadowsky;
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Michael J. Sadowsky
6University of Minnesota, Department of Soil, Water, and Climate, BioTechnology Institute, St Paul, MN 55108, USA
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Mansour Samadpour
Mansour Samadpour
7Institute for Environmental Health, Seattle, WA 98155, USA
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J Water Health (2003) 1 (4): 167–180.
Citation
Samuel P. Myoda, C. Andrew Carson, Jeffry J. Fuhrmann, Byoung-Kwon Hahm, Peter G. Hartel, Helen Yampara-Iquise, LeeAnn Johnson, Robin L. Kuntz, Cindy H. Nakatsu, Michael J. Sadowsky, Mansour Samadpour; Comparison of genotypic-based microbial source tracking methods requiring a host origin database. J Water Health 1 December 2003; 1 (4): 167–180. doi: https://doi.org/10.2166/wh.2003.0019
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