Skip to Main Content
Using sigmoidal curve-fitting in a real- time PCR detection assay to determine detection thresholdsAuthor(s): Pedro Uribe; Frank N. Martin
Source: In: Frankel, Susan J.; Kliejunas, John T.; Palmieri, Katharine M., tech. coords. 2008. Proceedings of the sudden oak death third science symposium. Gen. Tech. Rep. PSW-GTR-214. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station. pp. 75-81
Publication Series: General Technical Report (GTR)
Station: Pacific Southwest Research Station
PDF: View PDF (281 KB)
DescriptionPhytophthora ramorum, the causal agent of sudden oak death (SOD) is a quarantine pathogen that has forced the implementation of extraordinary measures to track and contain the movement of infected nursery stock both within and outside of the three western states of California, Oregon and Washington. Federal guidelines in the United States for diagnostic testing of P. ramorum are in place to insure the sensitivity and reliability of detection tests. PCR assays are used to determine whether the Phytophthora sp. detected by the initial immunoassay screening is P. ramorum. Most of the time definitive results can be obtained from a single PCR reaction. However, there are times when the accuracy of the results can be called into question because of low pathogen titer, a situation that can result in false negatives given the limits of detection of the marker system. In addition, experimental samples often contain significant amounts of PCR inhibitors that can also give results outside the normal detection cutoffs. Therefore the need for re-testing the samples using the same or alternative methods of pathogen detection is manifest. To understand the effect of low DNA concentration, or the role of PCR inhibitors in the extracted DNA in the sensitivity of detection of P .ramorum, plant and pathogen specific markers were amplified in real time PCR experiments using TaqMan® chemistry. The kinetics of amplification f the PCR reactions were modeled using a four-parametric sigmoidal curve. Standard curves of pure P. ramorum DNA and plant host DNA, with standard amounts of P. ramorum DNA added, were created and used to establish a base for data analysis. Samples having low pathogen titer were amplified and the values of the sigmoid curve parameters described. Statistical analysis of data allowed the identification of samples falling outside the proposed 95 percent confidence interval. Curve modeling also provided experimental support for determining threshold values for assessing the presence of the pathogen.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationUribe, Pedro; Martin, Frank N. 2008. Using sigmoidal curve-fitting in a real- time PCR detection assay to determine detection thresholds. In: Frankel, Susan J.; Kliejunas, John T.; Palmieri, Katharine M., tech. coords. 2008. Proceedings of the sudden oak death third science symposium. Gen. Tech. Rep. PSW-GTR-214. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station. pp. 75-81
KeywordsPhytophthora ramorum, real time PCR, PCR efficiency, 4-parametric sigmoidal regression
- Molecular detection of Phytophthora ramorum by real-time PCR using Taqman, SYBR Green and molecular beacons with three genes
- ELISA and ImmunoStrip® for detection of Phytophthora ramorum, P. kernoviae, and other Phytophthora species
- Detection of mRNA by reverse transcription PCR as an indicator of viability in Phytophthora ramorum
XML: View XML