Literature DB >> 7918647

The impact of the PCR plateau phase on quantitative PCR.

C Morrison1, F Gannon.   

Abstract

The quantitative use of the polymerase chain reaction (PCR) is often compromised by the variability of the amplification. The most useful system for quantitation by PCR involves the use of controls which are almost identical to the target and which can be amplified using the same primers as the sequences of interest. In this paper, we use a model system consisting of differently sized targets amplifiable with varying primers to demonstrate the effects of the plateau phase of PCR on quantitation by PCR. This model confirms two commonly observed results: (i) when varying amounts of a single target are amplified, a constant maximum level of product is obtained and (ii) coamplification of different concentrations of different targets results in retention of the initial proportions. The inherent contradiction in these results is examined by replacement of the key elements of the reaction including enzyme, dNTPs or primers, none of which have an effect on the plateau. Pyrophosphate is found to exert no inhibitory effect on the reaction, nor does the exonuclease action of the enzyme cause the plateau. Levels of amplification attained during amplification are both theoretically and empirically defined as being insufficient to lead to the plateau due to competition between self-annealing of product DNAs and primer binding. We conclude that, pending further biochemical enquiry into the enzyme(s) used in the PCR, none of reasons conventionally proposed for the plateau phase of the PCR are sufficient to explain the phenomenon. This being so, we define the plateau as being a feature of the reaction as a whole and, since the onset of this phase is simultaneous for all amplicons, quantitation using the internal control system need not require exponential amplification. This therefore greatly simplifies the quantitative application of PCR.

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Year:  1994        PMID: 7918647     DOI: 10.1016/0167-4781(94)90076-0

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  22 in total

1.  Novel bacterial lineages at the (sub)division level as detected by signature nucleotide-targeted recovery of 16S rRNA genes from bulk soil and rice roots of flooded rice microcosms.

Authors:  M Derakshani; T Lukow; W Liesack
Journal:  Appl Environ Microbiol       Date:  2001-02       Impact factor: 4.792

2.  Expression profiling by iAFLP: A PCR-based method for genome-wide gene expression profiling.

Authors:  S Kawamoto; T Ohnishi; H Kita; O Chisaka; K Okubo
Journal:  Genome Res       Date:  1999-12       Impact factor: 9.043

3.  PCR bias in ecological analysis: a case study for quantitative Taq nuclease assays in analyses of microbial communities.

Authors:  S Becker; P Böger; R Oehlmann; A Ernst
Journal:  Appl Environ Microbiol       Date:  2000-11       Impact factor: 4.792

4.  Evaluation of chimerism in DNA samples by PCR amplification of D1S80 with detection by capillary electrophoresis.

Authors:  C M Jone; N Akel; A A Killeen
Journal:  Mol Diagn       Date:  2000-06

Review 5.  Specificity and performance of PCR detection assays for microbial pathogens.

Authors:  Konrad Sachse
Journal:  Mol Biotechnol       Date:  2004-01       Impact factor: 2.695

6.  Instant evaluation of the absolute initial number of cDNA copies from a single real-time PCR curve.

Authors:  Stéphane Swillens; Jean-Christophe Goffard; Yoann Maréchal; Alban de Kerchove d'Exaerde; Hakim El Housni
Journal:  Nucleic Acids Res       Date:  2004-03-29       Impact factor: 16.971

7.  Frequency of formation of chimeric molecules as a consequence of PCR coamplification of 16S rRNA genes from mixed bacterial genomes.

Authors:  G C Wang; Y Wang
Journal:  Appl Environ Microbiol       Date:  1997-12       Impact factor: 4.792

8.  DNA rehybridization during PCR: the 'Cot effect' and its consequences.

Authors:  F Mathieu-Daudé; J Welsh; T Vogt; M McClelland
Journal:  Nucleic Acids Res       Date:  1996-06-01       Impact factor: 16.971

9.  Phylogenetic analysis of the bacterial communities in marine sediments.

Authors:  J P Gray; R P Herwig
Journal:  Appl Environ Microbiol       Date:  1996-11       Impact factor: 4.792

10.  Quantitative tracing, by Taq nuclease assays, of a synechococcus ecotype in a highly diversified natural population.

Authors:  Sven Becker; Michael Fahrbach; Peter Böger; Anneliese Ernst
Journal:  Appl Environ Microbiol       Date:  2002-09       Impact factor: 4.792

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