| Literature DB >> 27896140 |
Elena Kalle1, Mikael Kubista2, Christopher Rensing3.
Abstract
PCR is a formidable and potent technology that serves as an indispensable tool in a wide range of biological disciplines. However, due to the ease of use and often lack of rigorous standards many PCR applications can lead to highly variable, inaccurate, and ultimately meaningless results. Thus, rigorous method validation must precede its broad adoption to any new application. Multi-template samples possess particular features, which make their PCR analysis prone to artifacts and biases: multiple homologous templates present in copy numbers that vary within several orders of magnitude. Such conditions are a breeding ground for chimeras and heteroduplexes. Differences in template amplification efficiencies and template competition for reaction compounds undermine correct preservation of the original template ratio. In addition, the presence of inhibitors aggravates all of the above-mentioned problems. Inhibitors might also have ambivalent effects on the different templates within the same sample. Yet, no standard approaches exist for monitoring inhibitory effects in multitemplate PCR, which is crucial for establishing compatibility between samples.Entities:
Keywords: CDCE, constant denaturing capillary electrophoresis; Chimera; DGGE, denaturing gradient gel electrophoresis; DHPLC, denaturing high-performance liquid chromatography; HPLC, high-performance liquid chromatography; Multi-template PCR; PAAG, polyacrylamide gel; SSCA, single strand conformation analysis; T-RFLP, terminal restriction fragment length polymorphism; TGGE, temperature gradient gel electrophoresis
Year: 2014 PMID: 27896140 PMCID: PMC5121205 DOI: 10.1016/j.bdq.2014.11.002
Source DB: PubMed Journal: Biomol Detect Quantif
Fig. 1Types of polymerase chain reactions (explanations are provided in the text).
Fig. 2Multi-template polymerase chain reaction artifacts (detail explanations are provided in the text).
Fig. 3Limit of detection in single and multi-template PCR. In the single-template PCR limit of detection (LOD) varies depending on the type of microorganism, background DNA, level of PCR inhibition and other factors. At present there is a lack of experimental evidences confirming that all types of the homologous targets have the same LOD in the multi-template PCR. On the contrary, there are experimental data supporting the idea that LODs of the different targets within the mixed sample differ (for discussion see the text).
Fig. 4A simulation of the fluctuations in the microbial community structure induced by the treatment in the course of an experiment and the effect of such change on the quantification of microbial load. Apart from the multi-template PCR burden of artifacts and biases this assay often uses untrustworthy target sequences, e.g. 16S or 18S rDNA. The numbers of these sequences vary among microbial species. Imagine a situation when single specie with 10 copies of 16S rDNA grew above the LOD at the beginning of the experiment. A treatment stimulates a shift within microbial community and four other bacterial species grew above the LOD, while the former one was suppressed under the new conditions.
Load before treatment: 1 microbial strain grew above LOD × 105 CFU × 10 copies of 16SrDNA/cell = 106 copies of 16S rDNA ought to be detected (although really there are only).
Load after treatment: 4 microbial strains grew above LOD × 105 CFU × 1 copy of 16SrDNA/cell = 4 × 105 copies of 16S rDNA ought to be detected under new conditions.
So, the analysis based on the 16S rDNA would show one order of magnitude decrease in bacterial load after treatment. While in fact, the load of microbes before treatment was 105 and after treatment – 4 × 105. The rate of the possible error is much higher than the twofold difference in number of DNA molecules that real-time PCR usually aims to detect.