Natsuko Merrick1, Warren Dick1 and Linda K. Dick2, (1)School of Environment and Natural Resources, The Ohio State University/ Ohio Agricultural Research and Development Center, Wooster, OH (2)School of Environment and Natural Resources, The Ohio State University, Columbus, OH
Abstract:
The goal of Microbial Source Tracking (MST) is to identify the source of
microbial contamination in natural waters
The goal of Microbial Source Tracking (MST) is to identify the source of
microbial contamination in natural waters. Transport of human and animal waste
into aquatic systems can result in contamination with pathogenic
microorganisms, which has become an increasingly serious health concern. The
Upper Sugar Creek watershed located in northeast Ohio
was selected as our study area. This mixed use watershed was suitable to
examine the source of microbial contamination from human and agricultural
activity and/or wildlife. Our methods included a PCR based, library independent
and host-specific Bacteroidales 16S rRNA gene assay. One of the
advantages of this molecular approach is that there is no need to prepare a
library of cultured reference isolates due to the specificity and sensitivity
of PCR. Therefore, rapid microbial contamination source diagnosis is possible.
The purpose of our study was to determine the applicability of this MST method
in a specific geological area. Samples were collected from 21 sites throughout
the study watershed beginning July 2006 and terminating September 2008.In addition, intensive sample collection,
including storm event sampling, was conducted at suspected hotspots for close
investigation of transport characteristics of microbial contaminants. We tested
host-specific Bacteroidales assays (human, ruminant, horse, pig. and
dog) to determine potential host sources, and we also tested a quantitative PCR
(qPCR) assay for general Bacteroidales to investigate the magnitude of
fecal contamination. Viable counts of E.Coli were determined for
statistical comparison with the Bacteroidales PCR assay. These fecal
contamination data were analyzed along with land management data. In addition
to the water samples, fecal samples of potential hosts from the study sites
were tested for host specificity of the method. We observed frequent human
specific positive signals at residential land use areas and also observed high
magnitude of general Bacteroidales
qPCR signals at concentrated livestock operation area and at residential area.
The results indicate the potential application of the MST method for land
management decisions to control microbial contamination at the watershed scale.