Quantitative polymerase chain reaction (qPCR) offers a rapid, highly sensitive analytical alternative to the traditional culture-based techniques of microbial enumeration typically used in water quality monitoring. Before qPCR can be widely applied within surface water monitoring programs and stormwater assessment research, the relationships between microbial concentrations measured by qPCR and culture-based methods must be assessed across a range of water types. Previous studies investigating fecal indicator bacteria quantification using molecular and culture-based techniques have compared measures of total concentration, but have not examined particle-associated microorganisms, which may be more important from a transport perspective, particularly during the calibration of predictive water quality models for watershed management purposes. This study compared total, free-phase, and particle-associated Escherichia coli concentrations as determined by the Colilert defined substrate method and qPCR targeting the uidA gene in stream grab samples partitioned via a calibrated centrifugation technique. Free-phase concentrations detected through qPCR were significantly higher than those detected using Colilert although total concentrations were statistically equivalent, suggesting a source of analytical bias. Although a specimen processing complex was used to identify and correct for inhibition of the qPCR reaction, high particle concentrations may have resulted in underestimation of total cell counts, particularly at low concentrations. Regardless, qPCR-based techniques will likely have an important future role in stormwater assessment and management.
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Research Article|
September 01 2013
Assessment of E. coli partitioning behavior via both culture-based and qPCR methods
Leigh-Anne Krometis;
1Biological Systems Engineering, 200 Seitz Hall (0303), Virginia Tech, Blacksburg, VA 24061-0303, USA
E-mail: krometis@vt.edu
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Rachel T. Noble;
Rachel T. Noble
2Institute of Marine Sciences, University of North Carolina at Chapel Hill, 3431 Arendell St, Morehead City, NC 28557, USA
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Gregory W. Characklis;
Gregory W. Characklis
3Dept of Environmental Sciences and Engineering, Gillings School of Global Public Health, Rosenau Hall – CB7431, University of North Carolina, Chapel Hill, NC, 27599-7431, USA
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A. Denene Blackwood;
A. Denene Blackwood
2Institute of Marine Sciences, University of North Carolina at Chapel Hill, 3431 Arendell St, Morehead City, NC 28557, USA
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Mark D. Sobsey
Mark D. Sobsey
3Dept of Environmental Sciences and Engineering, Gillings School of Global Public Health, Rosenau Hall – CB7431, University of North Carolina, Chapel Hill, NC, 27599-7431, USA
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Water Sci Technol (2013) 68 (6): 1359–1369.
Article history
Received:
December 18 2012
Accepted:
April 30 2013
Citation
Leigh-Anne Krometis, Rachel T. Noble, Gregory W. Characklis, A. Denene Blackwood, Mark D. Sobsey; Assessment of E. coli partitioning behavior via both culture-based and qPCR methods. Water Sci Technol 1 September 2013; 68 (6): 1359–1369. doi: https://doi.org/10.2166/wst.2013.363
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