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Serious Overestimation in Quantitative PCR by Circular (Supercoiled) Plasmid Standard: Microalgal pcna as the Model Gene

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Title
Serious Overestimation in Quantitative PCR by Circular (Supercoiled) Plasmid Standard: Microalgal pcna as the Model Gene
Published in
PLOS ONE, March 2010
DOI 10.1371/journal.pone.0009545
Pubmed ID
Authors

Yubo Hou, Huan Zhang, Lilibeth Miranda, Senjie Lin

Abstract

Quantitative real-time PCR (qPCR) has become a gold standard for the quantification of nucleic acids and microorganism abundances, in which plasmid DNA carrying the target genes are most commonly used as the standard. A recent study showed that supercoiled circular confirmation of DNA appeared to suppress PCR amplification. However, to what extent to which different structural types of DNA (circular versus linear) used as the standard may affect the quantification accuracy has not been evaluated. In this study, we quantitatively compared qPCR accuracies based on circular plasmid (mostly in supercoiled form) and linear DNA standards (linearized plasmid DNA or PCR amplicons), using proliferating cell nuclear gene (pcna), the ubiquitous eukaryotic gene, in five marine microalgae as a model gene. We observed that PCR using circular plasmids as template gave 2.65-4.38 more of the threshold cycle number than did equimolar linear standards. While the documented genome sequence of the diatom Thalassiosira pseudonana shows a single copy of pcna, qPCR using the circular plasmid as standard yielded an estimate of 7.77 copies of pcna per genome whereas that using the linear standard gave 1.02 copies per genome. We conclude that circular plasmid DNA is unsuitable as a standard, and linear DNA should be used instead, in absolute qPCR. The serious overestimation by the circular plasmid standard is likely due to the undetected lower efficiency of its amplification in the early stage of PCR when the supercoiled plasmid is the dominant template.

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Geographical breakdown

Country Count As %
United States 10 2%
Australia 3 <1%
Spain 2 <1%
Japan 2 <1%
Germany 2 <1%
United Kingdom 2 <1%
Uruguay 1 <1%
Vietnam 1 <1%
Brazil 1 <1%
Other 9 2%
Unknown 413 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 114 26%
Student > Ph. D. Student 112 25%
Student > Master 53 12%
Student > Bachelor 38 9%
Other 19 4%
Other 56 13%
Unknown 54 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 177 40%
Biochemistry, Genetics and Molecular Biology 81 18%
Environmental Science 35 8%
Medicine and Dentistry 23 5%
Immunology and Microbiology 19 4%
Other 45 10%
Unknown 66 15%