You are here:
MPN estimation of qPCR target sequence recoveries from whole cell calibrator samples
Citation:
SIVAGANESAN, M., S. SIEFRING, M. VARMA, AND R. A. HAUGLAND. MPN estimation of qPCR target sequence recoveries from whole cell calibrator samples. JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, 87(3):3235-3249, (2011).
Impact/Purpose:
1) Develop and evaluate qPCR assays and test methods for the detection and quantification of genetic markers from indicator bacteria that are associated with human fecal waste and from two new groups of general fecal indicator bacteria (E. coli and Clostridia) that historically have been widely used or are favored in specific regions 2) Determine the occurrence and densities of genetic markers detected by new qPCR assays developed under objective 1 and compare with occurrence and densities of genetic markers detected by previously developed qPCR assays for enterococci and total Bacterioidalesin waste waters and fecal material from different animal sources. 3) Determine stability of fecal indicator bacteria target DNA sequences in freezer archived filter retentates of ambient surface water samples 4) Determine the densities of human and general fecal indicator markers in a wide range of surface and recreational waters including archived samples from previous NEEAR studies.
Description:
DNA extracts from enumerated target organism cells (calibrator samples) have been used for estimating Enterococcus cell equivalent densities in surface waters by a comparative cycle threshold (Ct) qPCR analysis method. To compare surface water Enterococcus density estimates from different studies by this approach, either a consistent source of calibrator cells must be used or the estimates must account for any differences in target sequence recoveries from different sources of calibrator cells. In this report we describe two methods for estimating target sequence recoveries from whole cell calibrator samples based on qPCR analyses of their serially diluted DNA extracts and most probable number (MPN) calculation. The first method employed a traditional MPN calculation approach. The second method employed a Bayesian hierarchical statistical modeling approach and a Monte Carlo Markov Chain (MCMC) simulation method to account for the uncertainty in these estimates associated with different individual samples of the cell preparations, different dilutions of the DNA extracts and different qPCR analytical runs. The two methods were applied to estimate mean target sequence recoveries per cell from two different lots of a commercially available source of enumerated Enterococcus cell preparations. The mean target sequence recovery estimates (and standard errors) per cell from Lot A and B cell preparations by the Bayesian method were 22.73 (3.4) and 11.76 (2.4), respectively, when the data were adjusted for potential false positive results. Means were similar for the traditional MPN approach which cannot comparably assess uncertainty in the estimates. Cell numbers and estimates of recoverable target sequences in calibrator samples prepared from the two cell sources were also used to estimate cell equivalent and target sequence quantities recovered from surface water samples in a comparative Ct method. Our results illustrate the utility of the Bayesian method in accounting for uncertainty, the high degree of precision attainable by the MPN approach and the need to account for the differences in target sequence recoveries from different calibrator sample cell sources when they are used in the comparative Ct method.