A Novel Fluorescent GFP Chromophore Analog-Based Dye for Quantitative PCR

This is the first report describing the possibility of using a green fluorescent protein chromophore synthetic analog, P-HOBDI-BF₂, as a fluorescent dye for a linear hydrolysis probe used in qPCR. The study was carried out on a system for detection of the plant pathogenic fungus Fusarium avenaceum using a plasmid containing translation elongation factor 1α fragment as a template. To estimate fluorogenic properties of P-HOBDI-BF₂, 6-FAM-and BDP-FL-labeled probes were used. It was demonstrated that a synthetic dye based on the P-HOBDI-BF₂ chromophore can be used for labeling hydrolysis probes for qPCR, but fluorescence increase levels for P-HOBDI-BF₂-labeled probes were slightly lower than those for 6-FAM-labeled ones. At the same time, the sensitivity of P-HOBDI-BF₂-based assays remained high, and this fact together with acceptable fluorescence levels suggests that this dye can be considered as an efficient alternative for reporters traditionally used for fluorescence detection in the FAM channel.     

Development of species-specific quantitative real-time PCR primers for detecting anginosus group streptococci based on the rpoB

In this study, we introduced species-specific quantitative real-time PCR (qPCR) primers designed based on a DNA-dependent RNA polymerase beta-subunit gene for detecting anginosus group streptococci (AGS), Streptococcus anginosus, S. constellatus, and S. intermedius. The specificity of the qPCR primers was confirmed by conventional PCR with the genomic DNAs of 76 strains regarding 44 bacterial species including the type strain for the target species. The standard curves revealed the lower detection limits of these species-specific qPCR primers was 40 fg at below a cycle threshold (C_T) value of 35. These results suggest that AGS species-specific qPCR primers are suitable for applications in epidemiological studies associated with infectious diseases related to AGS.     

Development of quantitative real-time PCR primers for detecting 42 oral bacterial species

In this study, we introduced species-specific quantitative real-time PCR (qPCR) primers designed based on a DNA-dependent RNA polymerase beta-subunit gene (rpoB) for detecting 42 oral bacterial species. The specificity of the qPCR primers was confirmed by conventional PCR with the genomic DNAs of 73–79 strains regarding 73–75 bacterial species including the type strain for the target species. The standard curves revealed the lower detection limits of 42 bacterial species-specific qPCR primers ranged from 4 to 40 fg below a cycle threshold (C _T) value of 35, except Atopobium rimae, Fusobacterium nucleatum, Neisseria meningitidis, and Porphyromonas asaccharolytica which were 400 fg. These results suggest that 42 bacterial species-specific qPCR primers are suitable for applications in epidemiological studies related to oral infectious diseases such as periodontal diseases, endodontic infection, and dental caries.     

A fixed-point algorithm for estimating amplification efficiency from a polymerase chain reaction dilution series

Background

The polymerase chain reaction amplifies and quantifies small amounts of DNA. It is a cyclic process, during each cycle of which each strand of template DNA is copied with probability approaching one: the amount of DNA approximately doubles and this amount can be estimated fluorimetrically each cycle, producing a set of fluorescence values hereafter referred to as the amplification curve. Commonly the biological question of relevance is one of the ratio of DNA concentrations in two samples: a ratio that is deduced by comparing the two amplification curves, usually by way of a plot of fluorescence against cycle number. Central to this analysis is measuring the extent to which one amplification curve is shifted relative to the other, a measurement often accomplished by defining a threshold or quantification cycle, C_q, for each curve: the fractional cycle number at which fluorescence reaches some threshold or at which some other criterion (maximum slope, maximum rate of change of slope) is satisfied.We propose an alternative where position is measured relative to a reference curve; position equates to the cycle shift which maximizes the correlation between the reference and the observed fluorescence sequence. A key parameter of the reference curve is obtained by fixed-point convergence.

Results

We consider the analysis of dilution series constructed for the estimation of qPCR amplification efficiency. The estimate of amplification efficiency is based on the slope of the regression line when the C_q is plotted against the logarithm of dilution. We compare the approach to three commonly used methods for determining C_q; each is applied to publicly accessible calibration data sets, and to ten from our own laboratory. As in the established literature we judge their relative merits both from the standard deviation of the slope of the calibration curve, and from the variance in C_q for replicate fluorescence curves.

Conclusions

The approach does not require modification of experimental protocols, and can be applied retrospectively to existing data. We recommend that it be added to the methodological toolkit with which laboratories interpret their real-time PCR data.

Electronic supplementary material

The online version of this article (doi:10.1186/s12859-014-0372-4) contains supplementary material, which is available to authorized users.     

Statistical uncertainty and its propagation in the analysis of quantitative polymerase chain reaction data: Comparison of methods

Most methods for analyzing real-time quantitative polymerase chain reaction (qPCR) data for single experiments estimate the hypothetical cycle 0 signal y₀ by first estimating the quantification cycle (C_q) and amplification efficiency (E) from least-squares fits of fluorescence intensity data for cycles near the onset of the growth phase. The resulting y₀ values are statistically equivalent to the corresponding C_q if and only if E is taken to be error free. But uncertainty in E usually dominates the total uncertainty in y₀, making the latter much degraded in precision compared with C_q. Bias in E can be an even greater source of error in y₀. So-called mechanistic models achieve higher precision in estimating y₀ by tacitly assuming E = 2 in the baseline region and so are subject to this bias error. When used in calibration, the mechanistic y₀ is statistically comparable to C_q from the other methods. When a signal threshold y_q is used to define C_q, best estimation precision is obtained by setting y_q near the maximum signal in the range of fitted cycles, in conflict with common practice in the y₀ estimation algorithms.     

Antisense PCR: A simple and robust method for performing nested single-tube PCR

To overcome the disadvantages of two-round nested PCR, we developed a simple and robust closed single-tube nested PCR method (antisense PCR). The method uses antisense oligonucleotides that carry a 5′ tag and that can potentially hybridize to the 3′ ends of the outer primers, depending on the annealing temperature. During initial cycles, which are performed at a high annealing temperature, the antisense oligonucleotides do not hybridize and amplification is directed by the outer primers. During later cycles, for which the annealing temperature is decreased, the outer primers hybridize to the antisense oligonucleotides, extend to produce sequences that are mismatched to the amplicon templates, and consequently become inactivated, whereas the inner primers hybridize to the amplicon templates and continue amplification. Antisense quantitative PCR (qPCR) was compared with one-round qPCR for real-time amplification of four PCR targets (BCR, APC, N-RAS, and a rearranged IGH gene). It had equal amplification efficiency but produced much less nonspecific amplification. Antisense PCR enables both endpoint detection and real-time quantification. It can substitute for two-round nested PCRs but may also be applicable to instances of one-round PCR in which nonspecificity is a problem.     

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

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.     

A Mechanistic Model of PCR for Accurate Quantification of Quantitative PCR Data

Background

Quantitative PCR (qPCR) is a workhorse laboratory technique for measuring the concentration of a target DNA sequence with high accuracy over a wide dynamic range. The gold standard method for estimating DNA concentrations via qPCR is quantification cycle () standard curve quantification, which requires the time- and labor-intensive construction of a standard curve. In theory, the shape of a qPCR data curve can be used to directly quantify DNA concentration by fitting a model to data; however, current empirical model-based quantification methods are not as reliable as standard curve quantification.

Principal Findings

We have developed a two-parameter mass action kinetic model of PCR (MAK2) that can be fitted to qPCR data in order to quantify target concentration from a single qPCR assay. To compare the accuracy of MAK2-fitting to other qPCR quantification methods, we have applied quantification methods to qPCR dilution series data generated in three independent laboratories using different target sequences. Quantification accuracy was assessed by analyzing the reliability of concentration predictions for targets at known concentrations. Our results indicate that quantification by MAK2-fitting is as reliable as standard curve quantification for a variety of DNA targets and a wide range of concentrations.

Significance

We anticipate that MAK2 quantification will have a profound effect on the way qPCR experiments are designed and analyzed. In particular, MAK2 enables accurate quantification of portable qPCR assays with limited sample throughput, where construction of a standard curve is impractical.     

Real time PCR detection targeting nifA gene of plant growth promoting bacteria Azospirillum brasilense strain FP2 in maize roots

The plant growth promoting bacteria (PGPB) Azospirillum brasilense has been recommended for use in commercial inoculants in Brazil. Effective methods are necessary to monitor PGPB strains in the rhizosphere. Our purpose was to develop a real time PCR method for detection of A. brasilense strain FP2 in maize seedlings targeting nifA. Primer pairs were designed and their specificity was verified using DNA from 12 different bacterial species. Standard curves were prepared for DNA quantification using serial dilution of A. brasilense DNA extracts. PCR efficiencies and correlation coefficient presented values within the acceptable range for qPCR, mean PCR efficiency was 95 % and correlation coefficient was 0.98, indicating that nifA gene was suitable for the quantitative analysis of the target bacterial genome. Inoculated maize seedlings were grown in vitro or in pots, bacterial DNA copy number per gram of fresh root was quantified 1, 4, 7 and 10 days after inoculation. The developed primers targeting nifA will be useful for monitoring Azospirillum brasilense strain FP2 in crops.     

Comparing real-time quantitative polymerase chain reaction analysis methods for precision,linearity, and accuracy of estimating amplification efficiency

New methods are used to compare seven qPCR analysis methods for their performance in estimating the quantification cycle (C_q) and amplification efficiency (E) for a large test data set (94 samples for each of 4 dilutions) from a recent study. Precision and linearity are assessed using chi-square (χ²), which is the minimized quantity in least-squares (LS) fitting, equivalent to the variance in unweighted LS, and commonly used to define statistical efficiency. All methods yield C_qs that vary strongly in precision with the starting concentration N₀, requiring weighted LS for proper calibration fitting of C_q vs log(N₀). Then χ² for cubic calibration fits compares the inherent precision of the C_qs, while increases in χ² for quadratic and linear fits show the significance of nonlinearity. Nonlinearity is further manifested in unphysical estimates of E from the same C_q data, results which also challenge a tenet of all qPCR analysis methods — that E is constant throughout the baseline region. Constant-threshold (C_t) methods underperform the other methods when the data vary considerably in scale, as these data do.     

Enumeration of Salmonellae in Table Eggs,Pasteurized Egg Products,and Egg-Containing Dishes by Using Quantitative Real-Time PCR

Salmonellae are a major cause of food-borne outbreaks in Europe, with eggs and egg products being identified as major sources. Due to the low levels of salmonellae in eggs and egg products, direct quantification is difficult. In the present study, enrichment quantitative real-time PCR (qPCR) was employed for enumeration of salmonellae in different matrices: table eggs, pasteurized egg products, and egg-containing dishes. Salmonella enterica serovar Enteritidis and S. enterica serovar Tennessee were used to artificially contaminate these matrices. The results showed a linear regression between the numbers of salmonellae and the quantification cycle (C_q) values for all matrices used, with the exception of pasteurized egg white. Standard curves were constructed by using both stationary-phase cells and heat-stressed cells, with similar results. Finally, this method was used to evaluate the fate of salmonellae in two egg-containing dishes, long egg and tiramisu, at abused refrigeration temperatures, and results indicated the growth of bacteria over a 1-week period. In conclusion, enrichment qPCR was shown to be reliable for enumeration of salmonellae in different egg products.     

PCR Bias in Ecological Analysis: a Case Study for Quantitative Taq Nuclease Assays in Analyses of Microbial Communities

Succession of ecotypes, physiologically diverse strains with negligible rRNA sequence divergence, may explain the dominance of small, red-pigmented (phycoerythrin-rich) cyanobacteria in the autotrophic picoplankton of deep lakes (C. Postius and A. Ernst, Arch. Microbiol. 172:69–75, 1999). In order to test this hypothesis, it is necessary to determine the abundance of specific ecotypes or genotypes in a mixed background of phylogenetically similar organisms. In this study, we examined the performance of Taq nuclease assays (TNAs), PCR-based assays in which the amount of an amplicon is monitored by hydrolysis of a labeled oligonucleotide (TaqMan probe) when hybridized to the amplicon. High accuracy and a 7-order detection range made the real-time TNA superior to the corresponding end point technique. However, in samples containing mixtures of homologous target sequences, quantification can be biased due to limited specificity of PCR primers and probe oligonucleotides and due to accumulation of amplicons that are not detected by the TaqMan probe. A decrease in reaction efficiency, which can be recognized by direct monitoring of amplification, provides experimental evidence for the presence of such a problem and emphasizes the need for real-time technology in quantitative PCR. Use of specific primers and probes and control of amplification efficiency allow correct quantification of target DNA in the presence of an up to 10⁴-fold excess of phylogenetically similar DNA and of an up to 10⁷-fold excess of dissimilar DNA.     

Comparison of Quantitative PCR and Droplet Digital PCR Multiplex Assays for Two Genera of Bloom-Forming Cyanobacteria,Cylindrospermopsis and Microcystis

The increasing occurrence of harmful cyanobacterial blooms, often linked to deteriorated water quality and adverse public health effects, has become a worldwide concern in recent decades. The use of molecular techniques such as real-time quantitative PCR (qPCR) has become increasingly popular in the detection and monitoring of harmful cyanobacterial species. Multiplex qPCR assays that quantify several toxigenic cyanobacterial species have been established previously; however, there is no molecular assay that detects several bloom-forming species simultaneously. Microcystis and Cylindrospermopsis are the two most commonly found genera and are known to be able to produce microcystin and cylindrospermopsin hepatotoxins. In this study, we designed primers and probes which enable quantification of these genera based on the RNA polymerase C1 gene for Cylindrospermopsis species and the c-phycocyanin beta subunit-like gene for Microcystis species. Duplex assays were developed for two molecular techniques—qPCR and droplet digital PCR (ddPCR). After optimization, both qPCR and ddPCR assays have high linearity and quantitative correlations for standards. Comparisons of the two techniques showed that qPCR has higher sensitivity, a wider linear dynamic range, and shorter analysis time and that it was more cost-effective, making it a suitable method for initial screening. However, the ddPCR approach has lower variability and was able to handle the PCR inhibition and competitive effects found in duplex assays, thus providing more precise and accurate analysis for bloom samples.     

Examination of six commonly used laboratory fixatives in HAB monitoring programs for their use in quantitative PCR based on Taqman probe technology

Due to the need for more rapid and reliable detection, quantification and enumeration of harmful algal species the use of molecular methods are increasingly being used in monitoring and field studies. However, many studies often require sample fixation to allow for transportation before analyses are conducted. Here, we describe the effects of six fixatives (acidified Lugol's iodine with or without sodium thiosulphate, glutaraldehyde, paraformaldehyde (PFA), formalin and ethanol) on quantitative real-time polymerase chain reaction (qPCR) amplification with Taqman probes. We applied extracted total genomic DNA from four harmful algal species from Danish waters, representing three dinoflagellates (Alexandrium tamarense, Karenia mikimotoi, Karlodinium veneficum and a haptophyte (Prymnesium parvum). The C_q values generated on the qPCR amplification plot were compared to those of an unfixed sample that acted as a control. For all species positive amplifications were achieved from DNA templates from all preserved samples. However, amplification efficiencies between fixatives and species varied. Yet it was found that Lugol's iodine was the most ideal short-term fixative for enumeration of cells by qPCR as well as being the safest to handle. The effect of age on Lugol's iodine fixed samples was also addressed. Samples were fixed and stored at 5 °C in the dark and total genomic DNA extracted after 24 h, 72 h, 1 week, 2 weeks, 1 month and 2 months. Samples remained stable for 1 month for A. tamarense and K. veneficum and 2 months for K. mikimotoi and P. parvum.     

Standard Addition Quantitative Real-Time PCR (SAQPCR): A Novel Approach for Determination of Transgene Copy Number Avoiding PCR Efficiency Estimation

Quantitative real-time polymerase chain reaction (qPCR) has been previously applied to estimate transgene copy number in transgenic plants. However, the results can be erroneous owing to inaccurate estimation of PCR efficiency. Here, a novel qPCR approach, named standard addition qPCR (SAQPCR), was devised to accurately determine transgene copy number without the necessity of obtaining PCR efficiency data. The procedures and the mathematical basis for the approach are described. A recombinant plasmid harboring both the internal reference gene and the integrated target gene was constructed to serve as the standard DNA. It was found that addition of suitable amounts of standard DNA to test samples did not affect PCR efficiency, and the guidance for selection of suitable cycle numbers for analysis was established. Samples from six individual T₀ tomato (Solanum lycopersicum) plants were analyzed by SAQPCR, and the results confirmed by Southern blot analysis. The approach produced accurate results and required only small amounts of plant tissue. It can be generally applied to analysis of different plants and transgenes. In addition, it can also be applied to zygosity analysis.     

A real‐time PCR assay for detection and quantification of Lactococcus garvieae

Aims: To develop a rapid, sensitive, specific tool for the detection and quantification of Lactococcus garvieae in food and environmental samples. Methods and Results: A real‐time quantitative PCR (qPCR) assay with primers for CAU12F and CAU12R based on the 16S rRNA gene of L. garvieae was successfully established. The limit of detection for L. garvieae genomic DNA was 1 ng DNA in conventional PCR and 32 fg with a mean C_T value of 36·75 in qPCR. Quantification of L. garvieae vegetative cells was linear (R² = 0·99) over a 7‐log‐unit dynamic range down to ten L. garvieae cells. Conclusions: This method is highly specific, sensitive and reproducible for the detection of L. garvieae compared to gel‐based conventional PCR assays, thus providing precise quantification of L. garvieae in food and natural environments. Significance and Impact of the Study: This work provides efficient diagnostic and monitoring tools for the rapid identification of L. garvieae, an emerging pathogen in aquaculture and an occasional human pathogen from other members of the genus Lactobacillus.     

Real-Time PCR for Detection and Quantification of the Protistan Parasite Perkinsus marinus in Environmental Waters

The protistan parasite Perkinsus marinus is a severe pathogen of the oyster Crassostrea virginica along the east coast of the United States. Very few data have been collected, however, on the abundance of the parasite in environmental waters, limiting our understanding of P. marinus transmission dynamics. Real-time PCR assays with SybrGreen I as a label for detection were developed in this study for quantification of P. marinus in environmental waters with P. marinus species-specific primers and of Perkinsus spp. with Perkinsus genus-specific primers. Detection of DNA concentrations as low as the equivalent of 3.3 × 10⁻² cell per 10-μl reaction mixture was obtained by targeting the multicopy internal transcribed spacer region of the genome. To obtain reliable target quantification from environmental water samples, removal of PCR inhibitors and efficient DNA recovery were two major concerns. A DNA extraction kit designed for tissues and another designed for stool samples were tested on environmental and artificial seawater (ASW) samples spiked with P. marinus cultured cells. The stool kit was significantly more efficient than the tissue kit at removing inhibitors from environmental water samples. With the stool kit, no significant difference in the quantified target concentrations was observed between the environmental and ASW samples. However, with the spiked ASW samples, the tissue kit demonstrated more efficient DNA recovery. Finally, by performing three elutions of DNA from the spin columns, which were combined prior to target quantification, variability of DNA recovery from different samples was minimized and more reliable real-time PCR quantification was accomplished.     

Real-Time PCR Quantification of the Plant Growth Promoting Bacteria Herbaspirillum seropedicae Strain SmR1 in Maize Roots

The plant growth promoting bacteria Herbaspirillum seropedicae SmR1 is an endophytic diazotroph found in several economically important crops. Considering that methods to monitor the plant–bacteria interaction are required, our objective was to develop a real-time PCR method for quantification of PGPB H. seropedicae in the rhizosphere of maize seedlings. Primer pairs were designed, and their specificity was verified using DNA from 12 different bacterial species. Ten standard curves of qPCR assay using HERBAS1 primers and tenfold serial dilutions of H. seropedicae SmR1 DNA were performed, and PCR efficiency of 91 % and correlation coefficient of 0.99 were obtained. H. seropedicae SmR1 limit of detection was 10¹ copies (corresponding to 60.3 fg of bacterial DNA). qPCR assay using HERBAS1 was used to detect and quantify H. seropedicae strain SmR1 in inoculated maize roots, cultivated in vitro and in pots, harvested 1, 4, 7, and 10 days after inoculation. The estimated bacterial DNA copy number per gram of root was in the range 10⁷–10⁹ for plants grown in vitro and it was around 10⁶ for plants grown in pots. Primer pair HERBAS1 was able to quantify H. seropedicae SmR1, and this assay can be useful for monitoring plant–bacteria interaction.