The development of a rapid SYBR Green I-based quantitative PCR for detection of Duck circovirus
© Wan et al; licensee BioMed Central Ltd. 2011
Received: 9 February 2011
Accepted: 7 October 2011
Published: 7 October 2011
This report describes a one-step real-time polymerase chain reaction assay based on SYBR Green I for detection of a broad range of duck circovirus (DuCV). Align with all DuCV complete genome sequences and other Genus Circovirus download from the GenBank (such as goose circovirus, pigeon circovirus), the primers targets to the replicate gene of DuCV were designed. The detection assay was linear in the range of 1.31 × 102-1.31 × 107 copies/μL. The reaction efficiency of the assay using the slope (the slope was -3.349) and the Y-intercept was 37.01 from the linear equation was estimated to be 0.99 and the correlation coefficient (R2) was 0.993. A series of experiments were carried out to assess the reproducibility, sensitivity, and specificity of the assay, following by the low intra-assay and inter-assay CVs for CT values obtained with the standard plasmids. The intra-assay CVs were equal or less than 1.89% and the inter-assay CVs were equal or less than 1.26%. There was no cross-reaction occurred with nucleic acids extracted from RA (Riemerella anatipestifer), E. coli (Escherichia coli), Duck Cholera (Pasteurella multocida), Avian influenza virus, avian paramyxovirus, Muscovy duck parvovirus, Duck reovirus, Duck hepatitis A virus as control templates. The nucleic acids extracted from samples of healthy ducks were used as negative controls. The assay was specific and reproducible. The established real time PCR was used to detect 45 DuCV-negative samples, which were tested using conventional PCR under the developed optimal conditions, each 15 for embryonated eggs, non-embryonated budgerigar eggs, newly hatched duck, the mixture of the lung, liver, spleen which were analysis for the presence of DuCV DNA, to conform that whether the DuCV can be transmitted vertically. Meanwhile, no positive result was shown by the real-time PCR method. The SYBR Green I-based quantitative PCR can therefore be practically used as an alternative diagnostic tool and a screening method for ducks infected with duck circovirus.
Circovirus are small, non-enveloped, icosahedral particles with the diameter of about 20 nm, having a circular single-stranded DNA with approximately 2kilobase in genome size . Currently, the family Circoviridae comprised with the two genera Gyrovirus and Circovirus. The genus Gyrovirus contains only the chicken infectious anemia virus (CIAV) . Within the genus Circovirus contains several members, including two porcine circovirus types 1 and 2 (PCV1 and PCV2), the psittactine beak and feather disease virus (BFDV), the columbid circorus (CoCV, also known as pigeon circovirus (PiCV)) [5, 6], the canary circovirus (CaCV) , the goose circovirus (GoCV) [6, 8], the duck circovirus (DuCV) , the raven circovirus (RaCV) , the starling circovirus (StCV) , the finch and gull circovirus ((FiCV & GuCV) , the ostrich circovirus  and recently identified mute swan circovirus (SwCV) which infecting Cygnus olor.
Duck circovirus (DuCV) had been listed as a tentative member of the Genus circovirus by ICTV. It was reported first in Germany at 2003 . Since then, DuCV was subsequently isolated in Germany , Hungary , the Taiwan area  and the U.S. . We firstly reported the detection of DuCV in Fujian Province, China .
Virus isolation is a fundamental diagnostic method, but no in vivo culture system was yet available for propagation of the Genus Circovirus except for PCV (type 1 and type 2). Other diagnostic techniques, such as conventional poly-merase chain reaction (PCR) , the nested PCR  and in situ hybridization (ISH) had been developed. Comparing these techniques, the nested PCR and the ISH were shown to be more sensitive than conventional PCR. However, both assays are labor-intensive; the nested PCR requires agarose gel analysis for the detection of amplification products and had a very high risk of contamination, while the ISH required several days to be done.
Recently, an excellent diagnostic tool with high sensitivity, specificity, and a fast turnaround time had been used extensively for detection of amplicons that are amplified during the PCR cycling in real time. Reports on Genus Circovirus virus detection based on real-time PCR technology had been developed [20–22].
In this study, the development of a quantitative real-time PCR for the detection of DuCV based on SYBR Green I dye was reported. To evaluate the developed real-time PCR for diagnosing and monitoring ducks with DuCV infection, we compared the results of conventional PCR and real-time PCR using clinical samples from 29 duck samples distributed in different areas of Fujian Province, China. The clinical symptoms of the sample duck flocks were not obviously abnormal, but sporadic deaths and growth retardation in a small number of ducks were often observed in these sample flocks, also 45 DuCV samples also collected in Fujian Province, each 15 for embryonated eggs, non-embryonated budgerigar eggs, newly hatched duck, the mixture of the lung, liver, spleen which were analyzed for the presence of DuCV DNA, respectively. The establishment of a SYBR Green I-based quantitative PCR can therefore be practically used as an alternative diagnostic tool for duck circovirus infection.
Materials and methods
DNA was isolated from a mixture of the lung, liver, spleen and fabricius bursa of each sample using DNeasy Blood & Tissue kit (Qiagen, Germany) according to the manufacturer's instructions. Total DNA was precipitated and used for DuCV examination, and each DNA sample was defined as a virus isolated.
Oligonucleotide primers design
Complete genome sequences of DuCV (45 sequences), PiCV (13 sequences) and GoCV (15 sequences) were retrieved from GenBank (see Accession Numbers), and were aligned to identify for the conserved regions using DNAStar software (DNASTAR, Madison, WI). The primers designed for DuCV quantization using SYBR Green I based real-time PCR, based on nucleotide sequences of ORF-V1 (open reading frame, the replicate protein, Rep protein), The primers were as follows: DuCVp1, 5'-TGTTATCTTTGGGCGTGG-3'; DuCVp2, 5'-CATTTCCCGAGTAACCGTC-3'. The length of the amplified products was 191bp [position 459 to 649 at GenBank: EF451157].
Construction of standard plasmids for real-time PCR
To generate a DuCV standard (pDuCV-ORF-V1) curve for the real-time reaction, a PCR product containing 930 bp [position 4 to 933 at GenBank:EF451157], using the oligo nucleotide primers DuCVp3, 5'-GGCGCTTGTACTCCGTAC-3' and DuCVp4, 5'-TTGGTCTCAGTAGTTTATTGG-3') was cloned into the vector pMD18-T vector (Takara, Dalian, China) according to the instructions of the manufacturer. The resulting plasmid was used to transform Escherichia coli DH5α cells and was purified using a QIAGEN plasmid purification kit (Qiagen, Germany) according to the manufacturer's instructions. The concentration of the plasmid preparation was determined by measuring the OD at 260 nm using a spectrophotometer (Eppendorf, Germany). Serial 10-fold dilutions of plasmid DNA with EASY dilution (Takara, Dalian, China) were used in the amplification reactions. The dilutions were stored at -20°C, while stock plasmid was stored at -70°C.
Real-time PCR was done using the Mastercycler® ep realplex system (Eppendorf, Germany) with SYBR Green I detection and T m analysis. SYBR® Premix Ex Taq™ (perfect real time) kit was purchased from TaKaRa (Dalian, China). The procedure was optimized with regard to concentrations of primers, and denature/extension temperature. The optimized reaction was carried out in a 20 μL final reaction volume containing10 μL of kit-supplied SYBR® PCR master mix, 0.4 μL concentrations of each forward and reverse primer (each 10 μm), 2 μL DNA solutions, and 7.2 μL distilled water to final volume 20.0 μL. Prior to cycling, the glass capillaries were sealed and centrifuged at 3 000 rpm for 10 s. The thermal profile for the real-time PCR was 95°C for 120 s, followed by 40 cycles of 95°C for 10 s, 60°C for 30 s with two-step. Six concentrations of pDuCV-ORF-V1 (1.31 × 102-1.31 × 107 DNA copies/μL per sample) were included in each run, and served as positive controls as well as to derive the standard curve used for quantization of DuCV DNA in tissue samples. Positive and negative reference samples were tested along with the unknown samples in each run.
Melting curve analysis of the PCR product
Melting curve analysis was performed to measure the specificity of PCR product. After PCR cycling, samples were heated to 95°C for 15 s, 65°C for 15 s and then heated to 95°C for15 s at a linear transition rate of 0.1°C/s, and then hold at 16°C. Fluorescence of the samples was monitored continuously while the temperature was increasing. SYBR Green I is released upon denaturation, which results in a decreasing fluorescence of the signal. The software calculates the T m. All samples were analyzed once.
Reproducibility and specificity of the assay
The standard DuCV plasmids (pDuCV-ORF-V1) with (1.31 × 102-1.31 × 107 DNA copies/μL per sample) were used to evaluate the coefficients of variation (CVs) of the real-time PCR. Intra-assay (three times) and inter-assay (three times for three weeks) CVs for Ct values were both included.
To test the specificity of the assay, nucleic acids extracted from samples of healthy ducks were used as negative controls. The controls also included nucleic acids extracted from RA (Riemerella anatipestifer), E. coli (Escherichia coli), duck Cholera (Pasteurella multocida), avian influenza virus, avian paramyxovirus, Muscovy duck parvovirus, duck reovirus, duck hepatitis A virus. No cross-amplification occurred with these controls as templates.
Conventional PCR reaction
The primer-pair was designed according to Chen , with the sequences of forward: 5'-ATATTA TTACCGGCGC(C/T) TGTA-3' and reverse: 5'-TCAGGAATCCCTG (A/C) AGGTGA-3'. The targeted amplification is a 228-bp segment of DuCV genome. Amplifications were programmed as follows by described . Amplicons of 228-bp were separated through 2.0% agarose gel. Positive and negative reference samples were applied in each reaction.
Detection of clinical samples
9 DuCV-positive samples [GenBank: GQ334371, GQ423740-GQ423747] and 20 DuCV-negative samples were tested using conventional PCR and real-time PCR under optimal conditions. Products from conventional PCR were examined in 2% agarose gel. And also, 45 DuCV-negative samples were tested using conventional PCR under optimal conditions, each 15 for embryonated eggs, non-embryonated budgerigar eggs, newly hatched duck, the mixture of the lung, liver, spleen which were analysis for the presence of DuCV DNA, to conform that whether the DuCV can be transmitted vertically.
Real-time PCR for DuCV
Specificity of the assay
Reproducibility of the real-time PCR for DuCV
Variance analysis of C T values quantified by real-time PCR in serially diluted standard plasmid solutions
Concentration of standard plasmid (DNA copies/μL)
1.31 × 107
1.31 × 106
1.31 × 105
1.31 × 104
1.31 × 103
1.31 × 102
Comparison the results obtained by real-time PCR and conventional PCR
Comparison of real-time PCR and conventional PCR assay results
Conventional PCR assay results
real-time PCR assay results
Avian circovirus, a good indicator of immunosuppressive threats to avian species, infections were originally diagnose depending on histology or electron microscopy, which requiring specialist skills or equipment. Histological diagnosis of circoviruses usually involves the detection of characteristic botryoid basophilic inclusions that commonly occur within the cytoplasm of macrophages present in lymphoid tissue such as fabricius bursa, but some published reports showed it had some obvious associated clinical characteristics, e.g. a feathering disorder, poor body condition and low weight, which may induce damage to lymphoid tissue and immunosuppression [9, 15]. Therefore, other diagnostic techniques, such as in situ hybridization (ISH), conventional poly-merase chain reaction (PCR), and nested PCR were important tools for avian circovirus epidemiological investigation.
A SYBR Green I-based quantitative PCR is an excellent diagnostic tool with high sensitivity, specificity, and a fast turnaround time [23, 24]. This system is called real-time PCR because the accumulated amplicons can be monitored directly during the DNA amplification process in closed tube with no post-PCR electrophoresis by a real-time PCR method. In addition, the real-time PCR technique has been shown to provide good sensitivity and a linear relationship between the copy number and cycle threshold (Ct) values. The quantization of DNA is based on the determination of the threshold cycle when the amplified PCR product is first detected. The higher the initial DNA copy number input, the sooner the product of amplification is detected.
The real-time PCR increased the detection of DuCV samples over that achieved by conventional PCR (table 2). Tests on the reproducibility and specificity of the method suggest that the established real-time PCR system appears to be reliable and stable. A series of experiments were carried out to assess the reproducibility, sensitivity, and specificity of the assay, following by the low intra-assay and inter-assay CVs for C T values obtained with the standard plasmids. The intra-assay CVs were equal or less than 1.89% and the inter-assay CVs were equal or less than 1.26%. No cross-reaction signals were detected when using several common duck diseases as the negative controls, which demonstrated not only the specificity of the assay but also the specific for the primer-set. DuCV infection and co- infection was common in duck farms and had been reported in DuCV-infected ducks without any clinical symptoms [25, 26]. The ability to quantify viral loads with the quantitative PCR assay was valuable tools to gain further understands of mechanisms of DuCV infection. All 45 samples described at Materials and methods, Detection of clinical samples for conform that whether the DuCV can be transmitted vertically, however, no positive result was shown by the conventional PCR and real-time PCR. Though, the BFDV DNAs were detected can be transmitted horizontally and vertically .
The primers used in this study were positioned in ORF-V1 (Rep gene) that was conserved when in parewising comparisons of 45 different DuCV complete genomic sequences, which belonged to two genotypes. While, the first real-time PCR detected for DuCV was described by Fringuelli E et al , with only one DuCV full-genome sequence [9, 15], though also selected from the circovirus Rep gene. And also, there are some avian viruses had establishment using a TaqMan-based real-time PCR [20, 28–30]. With these primer sets, our PCR assay can detect all DuCV identified by the real-time PCR. Moreover, SYBR Green I can bind to any double-strand DNA, so the dye can also be used in diagnosis of other viruses, and most of real-time machines can detect the fluorescence emitted by SYBR Green I. These will lower the diagnosis costs and make the method more applicable and practicable than probe. The real-time PCR detection system complements and extends previous methods for detection and quantization of duck circovirus.
The SYBR Green I-based quantitative PCR can also be applied to evaluate for the ducks infected with duck circovirus.
The DuCV accession numbers used in this manuscript for oligonucleotide primers design: AY228555, AY394721, DQ100076, DQ166836-DQ166838, EF370476, EF451157, GU168779, EU022374-EU022375, EU344802-EU344807, EU499309-EU499311, FJ554673, GQ334371, GQ423740-GQ423747, GQ868757, GU014543, GU131340-GU131343, HM162345-HM162353.
The PiCV accession numbers used in this manuscript for oligonucleotide primers design: AF252610, AJ298229-AJ298230, EU840176, DQ090944-DQ090945, DQ915956-DQ915961, JN183455.
The GoCV accession numbers used in this manuscript for oligonucleotide primers design: AF418552, AF536931-AF536936, AJ304456, AY633653, DQ192283-DQ192287, GU320569.
This work was supported by the earmarked fund for Modern Agri-industry Technology Research System (CARS-43), the Special Fund for Agro-scientific Research in the Public Interest (No.201003012), the Science and Technology Innovation Fund of Fujian Academy of Agriculture Science (STIF-02) and the Science and Technology Innovation Foundation for Young Scientists of Fujian Academy of Agriculture Science (2008QB-6).
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