A Comparison of Assays for Accurate Copy Number Measurement of the Low-Affinity Fc Gamma Receptor Genes FCGR3A and FCGR3B

The FCGR3 locus encoding the low affinity activating receptor FcγRIII, plays a vital role in immunity triggered by cellular effector and regulatory functions. Copy number of the genes FCGR3A and FCGR3B has previously been reported to affect susceptibility to several autoimmune diseases and chronic inflammatory conditions. However, such genetic association studies often yield inconsistent results; hence require assays that are robust with low error rate. We investigated the accuracy and efficiency in estimating FCGR3 CNV by comparing Sequenom MassARRAY and paralogue ratio test-restriction enzyme digest variant ratio (PRT-REDVR). In addition, since many genetic association studies of FCGR3B CNV were carried out using real-time quantitative PCR, we have also included the evaluation of that method’s performance in estimating the multi-allelic CNV of FCGR3B. The qPCR assay exhibited a considerably broader distribution of signal intensity, potentially introducing error in estimation of copy number and higher false positive rates. Both Sequenom and PRT-REDVR showed lesser systematic bias, but Sequenom skewed towards copy number normal (CN = 2). The discrepancy between Sequenom and PRT-REDVR might be attributed either to batch effects noise in individual measurements. Our study suggests that PRT-REDVR is more robust and accurate in genotyping the CNV of FCGR3, but highlights the needs of multiple independent assays for extensive validation when performing a genetic association study with multi-allelic CNVs.     

Development of a rotor-gene real-time PCR assay for the detection and quantification of Mycoplasma genitalium

We developed and validated a real-time quantitative polymerase chain reaction (qPCR) assay to determine Mycoplasma genitalium bacterial load in endocervical swabs, based on amplification of the pdhD gene which encodes dihydrolipoamide dehydrogenase, using the Rotor-Gene platform. We first determined the qPCR assay sensitivity, limit of detection, reproducibility and specificity, and then determined the ability of the qPCR assay to quantify M. genitalium in stored endocervical specimens collected from Zimbabwean women participating in clinical research undertaken between 1999 and 2007. The qPCR assay had a detection limit of 300 genome copies/mL and demonstrated low intra- and inter-assay variability. The assay was specific for M. genitalium DNA and did not amplify the DNA from other mycoplasma and ureaplasma species. We quantified M. genitalium in 119 of 1600 endocervical swabs that tested positive for M. genitalium using the commercial Sacace M. genitalium real-time PCR, as well as 156 randomly selected swabs that were negative for M. genitalium by the same assay. The M. genitalium loads ranged between < 300 and 3,240,000 copies/mL. Overall, the qPCR assay demonstrated good range of detection, reproducibility and specificity and can be used for both qualitative and quantitative analyses of M. genitalium in endocervical specimens and potentially other genital specimens.     

Parental somatic mosaicism for CNV deletions – A need for more sensitive and precise detection methods in clinical diagnostics settings

To further assess the scale and level of parental somatic mosaicism, we queried the CMA database at Baylor Genetics. We selected 50 unrelated families where clinically relevant apparent de novo CNV-deletions were found in the affected probands. Parental blood samples screening using deletion junction-specific PCR revealed four parents with somatic mosaicism. Droplet digital PCR (ddPCR), qPCR, and amplicon-based next-generation sequencing (NGS) were applied to validate these findings. Using ddPCR levels of mosaicism ranged from undetectable to 18.5%. Amplicon-based NGS and qPCR for the father with undetectable mosaicism was able to detect mosaicism at 0.39%. In one mother, ddPCR analysis revealed 15.6%, 10.6%, 8.2%, and undetectable levels of mosaicism in her blood, buccal cells, saliva, and urine samples, respectively. Our data suggest that more sensitive and precise methods, e.g. CNV junction-specific LR-PCR, ddPCR, or qPCR may allow for a more refined assessment of the potential disease recurrence risk for an identified variant.     

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.     

Use of Droplet Digital PCR for Estimation of Fish Abundance and Biomass in Environmental DNA Surveys

An environmental DNA (eDNA) analysis method has been recently developed to estimate the distribution of aquatic animals by quantifying the number of target DNA copies with quantitative real-time PCR (qPCR). A new quantitative PCR technology, droplet digital PCR (ddPCR), partitions PCR reactions into thousands of droplets and detects the amplification in each droplet, thereby allowing direct quantification of target DNA. We evaluated the quantification accuracy of qPCR and ddPCR to estimate species abundance and biomass by using eDNA in mesocosm experiments involving different numbers of common carp. We found that ddPCR quantified the concentration of carp eDNA along with carp abundance and biomass more accurately than qPCR, especially at low eDNA concentrations. In addition, errors in the analysis were smaller in ddPCR than in qPCR. Thus, ddPCR is better suited to measure eDNA concentration in water, and it provides more accurate results for the abundance and biomass of the target species than qPCR. We also found that the relationship between carp abundance and eDNA concentration was stronger than that between biomass and eDNA by using both ddPCR and qPCR; this suggests that abundance can be better estimated by the analysis of eDNA for species with fewer variations in body mass.     

Comparison of Sequencing Based CNV Discovery Methods Using Monozygotic Twin Quartets

Background

The advent of high throughput sequencing methods breeds an important amount of technical challenges. Among those is the one raised by the discovery of copy-number variations (CNVs) using whole-genome sequencing data. CNVs are genomic structural variations defined as a variation in the number of copies of a large genomic fragment, usually more than one kilobase. Here, we aim to compare different CNV calling methods in order to assess their ability to consistently identify CNVs by comparison of the calls in 9 quartets of identical twin pairs. The use of monozygotic twins provides a means of estimating the error rate of each algorithm by observing CNVs that are inconsistently called when considering the rules of Mendelian inheritance and the assumption of an identical genome between twins. The similarity between the calls from the different tools and the advantage of combining call sets were also considered.

Results

ERDS and CNVnator obtained the best performance when considering the inherited CNV rate with a mean of 0.74 and 0.70, respectively. Venn diagrams were generated to show the agreement between the different algorithms, before and after filtering out familial inconsistencies. This filtering revealed a high number of false positives for CNVer and Breakdancer. A low overall agreement between the methods suggested a high complementarity of the different tools when calling CNVs. The breakpoint sensitivity analysis indicated that CNVnator and ERDS achieved better resolution of CNV borders than the other tools. The highest inherited CNV rate was achieved through the intersection of these two tools (81%).

Conclusions

This study showed that ERDS and CNVnator provide good performance on whole genome sequencing data with respect to CNV consistency across families, CNV breakpoint resolution and CNV call specificity. The intersection of the calls from the two tools would be valuable for CNV genotyping pipelines.     

Performance of Droplet Digital PCR in Non-Invasive Fetal RHD Genotyping - Comparison with a Routine Real-Time PCR Based Approach

Detection and characterization of circulating cell-free fetal DNA (cffDNA) from maternal circulation requires an extremely sensitive and precise method due to very low cffDNA concentration. In our study, droplet digital PCR (ddPCR) was implemented for fetal RHD genotyping from maternal plasma to compare this new quantification alternative with real-time PCR (qPCR) as a golden standard for quantitative analysis of cffDNA. In the first stage of study, a DNA quantification standard was used. Clinical samples, including 10 non-pregnant and 35 pregnant women, were analyzed as a next step. Both methods’ performance parameters—standard curve linearity, detection limit and measurement precision—were evaluated. ddPCR in comparison with qPCR has demonstrated sufficient sensitivity for analysing of cffDNA and determination of fetal RhD status from maternal circulation, results of both methods strongly correlated. Despite the more demanding workflow, ddPCR was found to be slightly more precise technology, as evaluated using quantitative standard. Regarding the clinical samples, the precision of both methods equalized with decreasing concentrations of tested DNA samples. In case of cffDNA with very low concentrations, variance parameters of both techniques were comparable. Detected levels of fetal cfDNA in maternal plasma were slightly higher than expected and correlated significantly with gestational age as measured by both methods (ddPCR r = 0.459; qPCR r = 0.438).     

Similar Gene Estimates from Circular and Linear Standards in Quantitative PCR Analyses Using the Prokaryotic 16S rRNA Gene as a Model

Quantitative PCR (qPCR) is one of the most widely used tools for quantifying absolute numbers of microbial gene copies in test samples. A recent publication showed that circular plasmid DNA standards grossly overestimated numbers of a target gene by as much as 8-fold in a eukaryotic system using quantitative PCR (qPCR) analysis. Overestimation of microbial numbers is a serious concern in industrial settings where qPCR estimates form the basis for quality control or mitigation decisions. Unlike eukaryotes, bacteria and archaea most commonly have circular genomes and plasmids and therefore may not be subject to the same levels of overestimation. Therefore, the feasibility of using circular DNA plasmids as standards for 16S rRNA gene estimates was assayed using these two prokaryotic systems, with the practical advantage being rapid standard preparation for ongoing qPCR analyses. Full-length 16S rRNA gene sequences from Thermovirga lienii and Archaeoglobus fulgidus were cloned and used to generate standards for bacterial and archaeal qPCR reactions, respectively. Estimates of 16S rRNA gene copies were made based on circular and linearized DNA conformations using two genomes from each domain: Desulfovibrio vulgaris, Pseudomonas aeruginosa, Archaeoglobus fulgidus, and Methanocaldocococcus jannaschii. The ratio of estimated to predicted 16S rRNA gene copies ranged from 0.5 to 2.2-fold in bacterial systems and 0.5 to 1.0-fold in archaeal systems, demonstrating that circular plasmid standards did not lead to the gross over-estimates previously reported for eukaryotic systems.     

Comparison of microfluidic digital PCR and conventional quantitative PCR for measuring copy number variation

One of the benefits of Digital PCR (dPCR) is the potential for unparalleled precision enabling smaller fold change measurements. An example of an assessment that could benefit from such improved precision is the measurement of tumour-associated copy number variation (CNV) in the cell free DNA (cfDNA) fraction of patient blood plasma. To investigate the potential precision of dPCR and compare it with the established technique of quantitative PCR (qPCR), we used breast cancer cell lines to investigate HER2 gene amplification and modelled a range of different CNVs. We showed that, with equal experimental replication, dPCR could measure a smaller CNV than qPCR. As dPCR precision is directly dependent upon both the number of replicate measurements and the template concentration, we also developed a method to assist the design of dPCR experiments for measuring CNV. Using an existing model (based on Poisson and binomial distributions) to derive an expression for the variance inherent in dPCR, we produced a power calculation to define the experimental size required to reliably detect a given fold change at a given template concentration. This work will facilitate any future translation of dPCR to key diagnostic applications, such as cancer diagnostics and analysis of cfDNA.     

2种微小RNA实时定量PCR检测方法的比较

目的:对目前最常用的检测微小RNA(miRNA)的茎环实时定量PCR法和PAP实时定量PCR法进行比较。方法:分别用茎环实时定量PCR法和PAP实时定量PCR法检测人乳腺癌细胞MCF-7中U6和23种miRNA的表达,利用定量PCR分析软件和琼脂糖凝胶电泳方法,将2种方法在引物设计难度、特异性与灵敏度,以及检测通量方面进行比较。结果:茎环法的特异性和灵敏度比PAP法高,但引物设计难度大,检测通量低;PAP法引物设计难度较低,检测通量较高,但特异性和灵敏度较差。结论:茎环法实时定量PCR适于有针对性地检测小规模miRNA,而PAP法则适于大规模miRNA筛选实验。     

Comparison of droplet digital PCR with quantitative real-time PCR for determination of zygosity in transgenic maize

This study evaluated the applicability of droplet digital PCR (ddPCR) as a tool for maize zygosity determination using quantitative real-time PCR (qPCR) as a reference technology. Quantitative real-time PCR is commonly used to determine transgene copy number or GMO zygosity characterization. However, its effectiveness is based on identical reaction efficiencies for the transgene and the endogenous reference gene. Additionally, a calibrator sample should be utilized for accuracy. Droplet digital PCR is a DNA molecule counting technique that directly counts the absolute number of target and reference DNA molecules in a sample, independent of assay efficiency or external calibrators. The zygosity of the transgene can be easily determined using the ratio of the quantity of the target gene to the reference single copy endogenous gene. In this study, both the qPCR and ddPCR methods were used to determine insect-resistant transgenic maize IE034 zygosity. Both methods performed well, but the ddPCR method was more convenient because of its absolute quantification property.     

A Quantitative Real-Time PCR Method Using an X-Linked Gene for Sex Typing in Pigs

At present, a wide range of molecular sex-typing protocols in wild and domestic animals are available. In pigs, most of these methods are based on PCR amplification of X–Y homologous genes followed by gel electrophoresis which is time-consuming and in some cases expensive. In this paper, we describe, for the first time, a SYBR green-based quantitative real-time PCR (qPCR) assay using an X-linked gene, the glycoprotein M6B, for genetic sexing of pigs. Taking into account the differences in the glycoprotein M6B gene copy number between genders, we determine the correct sex of 54 pig samples from either diaphragm or hair follicle from different breeds using the 2^?ΔΔCT method for relative quantification. Our qPCR assay represents a quick, inexpensive, and reliable tool for sex determination in pigs. This new protocol could be easily adapted to other species in which the sex determination was required.     

Haplotype Phasing and Inheritance of Copy Number Variants in Nuclear Families

DNA copy number variants (CNVs) that alter the copy number of a particular DNA segment in the genome play an important role in human phenotypic variability and disease susceptibility. A number of CNVs overlapping with genes have been shown to confer risk to a variety of human diseases thus highlighting the relevance of addressing the variability of CNVs at a higher resolution. So far, it has not been possible to deterministically infer the allelic composition of different haplotypes present within the CNV regions. We have developed a novel computational method, called PiCNV, which enables to resolve the haplotype sequence composition within CNV regions in nuclear families based on SNP genotyping microarray data. The algorithm allows to i) phase normal and CNV-carrying haplotypes in the copy number variable regions, ii) resolve the allelic copies of rearranged DNA sequence within the haplotypes and iii) infer the heritability of identified haplotypes in trios or larger nuclear families. To our knowledge this is the first program available that can deterministically phase null, mono-, di-, tri- and tetraploid genotypes in CNV loci. We applied our method to study the composition and inheritance of haplotypes in CNV regions of 30 HapMap Yoruban trios and 34 Estonian families. For 93.6% of the CNV loci, PiCNV enabled to unambiguously phase normal and CNV-carrying haplotypes and follow their transmission in the corresponding families. Furthermore, allelic composition analysis identified the co-occurrence of alternative allelic copies within 66.7% of haplotypes carrying copy number gains. We also observed less frequent transmission of CNV-carrying haplotypes from parents to children compared to normal haplotypes and identified an emergence of several de novo deletions and duplications in the offspring.     

Validation of extraction methods for total RNA and miRNA from bovine blood prior to quantitative gene expression analyses

The benefit and precision of blood diagnosis by quantitative real-time PCR (qPCR) is limited by sampling procedures and RNA extraction methods. We have compared five different RNA extraction protocols from bovine blood regarding RNA and miRNA yield, quality, and most reproducible data in the qRT-PCR with the lowest point of quantification. Convincing results in terms of highest quantity, quality, and best performance for mRNA qPCR were obtained by leukocyte extraction following blood lysis as well as extraction of PAXgene stabilized blood. The best microRNA qPCR results were obtained for samples extracted by the leukocyte extraction method.     

Alpha-defensin DEFA1A3 gene copy number variation in Asians and its genetic association study in Chinese systemic lupus erythematosus patients

Neutrophil extracellular traps (NETs) were closely associated with activation of type I interferon (IFN) pathway in systemic lupus erythematosus (SLE). We aimed to study the genetic basis of NETs-DEFA1A3 copy number variations (CNV) in SLE and HapMap CHB + JPT populations by quantitative real-time PCR and whole genome sequences data. DEFA1A3 CNs did not differ significantly between SLE patients and controls. DEFA1A3 CNs ranged from 3 to 11 in CHB and 4 to 16 in JPT. The median of DEFA1A3 CNV of CHB (6 copies) was significantly lower than that of JPT (9 copies). Associations of genotype of tag SNP rs2738113 with DEFA1A3 CNs and mRNA expression of IFNα were observed in CHB and JPT populations. Our data provided a genetic reference of DEFA1A3 CNV for further studies and suggested that the genetic pathogenesis of NETs, as well as DEFA1A3 in SLE should be further evaluated, specially in different populations.     

Quantitative Real-Time PCR Detection of Toxic Nodularia Cyanobacteria in the Baltic Sea

A specific quantitative real-time PCR (qPCR) method was developed for the quantification of hepatotoxin nodularin-producing Nodularia, one of the main bloom-forming cyanobacteria in the Baltic Sea. Specific PCR primers were designed for subunit F of the nodularin synthetase gene (ndaF), which encodes the NdaF subunit of the nodularin synthetase gene complex needed for nodularin production. The qPCR method was applied to water samples (a total of 120 samples) collected from the Baltic Sea in July 2004. As few as 30 ndaF gene copies ml⁻¹ of seawater could be detected, and thus, the method was very sensitive. The ndaF gene copy numbers and nodularin concentrations were shown to correlate in the Baltic seawater, indicating the constant production of nodularin by Nodularia. This qPCR method for the ndaF gene can be used for detailed studies of Nodularia blooms and their formation. ndaF gene copies and nodularin were detected mostly in the surface water but also in deeper water layers (down to 30 m). Toxic Nodularia blooms are not only horizontally but also vertically widely distributed, and thus, the Baltic fauna is extensively exposed to nodularin.     

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.     

Variation in CCL3L1 copy number in rhesus macaques (Macaca mulatta)

We used real-time quantitative PCR (qPCR) methodology to examine copy number variation (CNV) of the CCL3L1 gene among pure Indian-origin, pure Chinese-origin, and hybrid Indian-Chinese rhesus macaques (Macaca mulatta). CNV among purebred macaques fell within expected ranges, with Indian macaques having lower copy numbers than those of Chinese macaques. Compared with the purebred macaques, Indian-Chinese hybrid rhesus macaques showed much greater variance in copy number and an intermediate average copy number. Copy numbers of CCL3L1 in rhesus macaque trios (sire, dam, and offspring) were consistent with Mendelian inheritance.     

Specific detection and quantification of the marine flavobacterial genus Zobellia on macroalgae using novel qPCR and CARD-FISH assays

The flavobacterial genus Zobellia is considered as a model to study macroalgal polysaccharide degradation. The lack of data regarding its prevalence and abundance in coastal habitats constitutes a bottleneck to assess its ecological strategies. To overcome this issue, real-time quantitative PCR (qPCR) and fluorescence in situ hybridization (FISH) methods targeting the 16S rRNA gene were optimized to specifically detect and quantify Zobellia on the surface of diverse macroalgae. The newly designed qPCR primers and FISH probes targeted 98 and 100% of the Zobellia strains in silico and their specificity was confirmed using pure bacterial cultures. The dynamic range of the qPCR assay spanned 8 orders of magnitude from 10 to 10⁸ 16S rRNA gene copies and the detection limit was 0.01% relative abundance of Zobellia in environmental samples. Zobellia-16S rRNA gene copies were detected on all surveyed brown, green and red macroalgae, in proportion varying between 0.1 and 0.9% of the total bacterial copies. The absolute and relative abundance of Zobellia varied with tissue aging on the kelp Laminaria digitata. Zobellia cells were successfully visualized in Ulva lactuca and stranded Palmaria palmata surface biofilm using CARD-FISH, representing in the latter 10⁵ Zobellia cells·cm⁻² and 0.43% of total bacterial cells. Overall, qPCR and CARD-FISH assays enabled robust detection, quantification and localization of Zobellia representatives in complex samples, underlining their ecological relevance as primary biomass degraders potentially cross-feeding other microorganisms.