Browse
Submit Data
Databases
API
Help

Dataset Information

32 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Development of a SYBR Green-based RT-qPCR assay for the detection of Indian citrus ringspot virus.

ABSTRACT: The Indian citrus ringspot virus (ICRSV) that causes ringspot disease, especially to 'Kinnow mandarin' hampers the sustainability of crop production. Presently, the disease is not amenable for control through host resistance or the introduction of chemicals, hence raising virus-free plants is one of the most effective approaches to manage the disease. Consequently, it is necessary to develop rapid, sensitive, specific, and early diagnostic methods for disease control. In the present study, newly designed primers targeting a 164 bp region of the ICRSV coat protein gene were used to develop and optimize a SYBR Green-based quantitative reverse transcription polymerase chain reaction (RT-qPCR) assay, for the detection of ICRSV. The RT-qPCR assay was evaluated and confirmed using viral RNA extracted from ICRSV infected plants maintained in screen house as well as field samples. The standard curves displayed a dynamic linear range across eight log units of ICRSV-cRNA copy number ranging from 9.48.1 fmol (5.709 × 10⁹) to 0.000948 amol (5.709 × 10²), with detection limit of 5.709 × 10² copies per reaction using serial tenfold diluted in vitro transcribed viral cRNA. The developed RT-qPCR is very specific to ICRSV does not react to other citrus pathogens, and approximately 100-fold more sensitive than conventional RT-PCR. Thus, this assay will be useful in laboratories, KVKs, and nurseries for the citrus budwood certification program as well as in plant quarantine stations. To our knowledge, this is the first study of the successful detection of ICRSV by RT-qPCR.

SUBMITTER: Kokane AD

PROVIDER: S-EPMC8245607 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

A duplex, SYBR Green I-based RT-qPCR assay for the simultaneous detection of Apple chlorotic leaf spot virus and Cherry green ring mottle virus in peach.

Project description:BACKGROUND: Co-infections of Apple chlorotic leaf spot virus (ACLSV) and Cherry green ring mottle virus (CGRMV) in peach is common in China and have resulted in significant yield reductions. A reliable, sensitive and quantitive method is needed to detect and distinguish between ACLSV and CGRMV in peach. FINDINGS: We developed a sensitive and specific SYBR Green-I based RT-qPCR for the quantification of ACLSV and CGRMV in different peach tissues, and a duplex RT-qPCR system to detect ACLSV and CGRMV simultaneously. The RT-qPCR method was optimized using standard samples transcribed by the T7 Large Scale RNA Production System in vitro. The peach genes, RNA Polymerase subunit II (RPII) and Ubiquitin 10 (UBQ10), which were used as the internal controls for the quantification assay also showed good expression stability in this system. Single RT-qPCR assays showed that CGRMV in peach accumulates to a higher level than ACLSV. The detection limits of the duplex RT-qPCR assay were 10² and 10? copies for ACLSV and CGRMV, respectively. The sensitivity of the duplex RT-qPCR was as high as RT-qPCR and higher than RT-PCR. CONCLUSIONS: The SYBR Green-I RT-qPCR assay provided a sensitive, specific and reliable method for the detection and quantification of ACLSV and CGRMV in different peach tissues. The duplex RT-qPCR system provided a sensitive and specific method to detect and differentiate between ACLSV and CGRMV in a single sample. This RT-qPCR assay could be a useful tool for the routine diagnosis of these two viruses and for disease epidemiology studies in peach orchards.

| S-EPMC3751145 | biostudies-literature

TqPCR: A Touchdown qPCR Assay with Significantly Improved Detection Sensitivity and Amplification Efficiency of SYBR Green qPCR.

Project description:The advent of fluorescence-based quantitative real-time PCR (qPCR) has revolutionized the quantification of gene expression analysis in many fields, including life sciences, agriculture, forensic science, molecular diagnostics, and medicine. While SYBR Green-based qPCR is the most commonly-used platform due to its inexpensive nature and robust chemistry, quantifying the expression of genes with low abundance or RNA samples extracted from highly restricted or limited sources can be challenging because the detection sensitivity of SYBR Green-based qPCR is limited. Here, we develop a novel and effective touchdown qPCR (TqPCR) protocol by incorporating a 4-cycle touchdown stage prior to the quantification amplification stage. Using the same cDNA templates, we find that TqPCR can reduce the average Cq values for Gapdh, Rps13, and Hprt1 reference genes by 4.45, 5.47, and 4.94 cycles, respectively, when compared with conventional qPCR; the overall average Cq value reduction for the three reference genes together is 4.95. We further find that TqPCR can improve PCR amplification efficiency and thus increase detection sensitivity. When the quantification of Wnt3A-induced target gene expression in mesenchymal stem cells is analyzed, we find that, while both conventional qPCR and TqPCR can detect the up-regulation of the relatively abundant target Axin2, only TqPCR can detect the up-regulation of the lowly-expressed targets Oct4 and Gbx2. Finally, we demonstrate that the MRQ2 and MRQ3 primer pairs derived from mouse reference gene Tbp can be used to validate the RNA/cDNA integrity of qPCR samples. Taken together, our results strongly suggest that TqPCR may increase detection sensitivity and PCR amplification efficiency. Overall, TqPCR should be advantageous over conventional qPCR in expression quantification, especially when the transcripts of interest are lowly expressed, and/or the availability of total RNA is highly restricted or limited.

| S-EPMC4501803 | biostudies-literature

Development and Characterization of SYBR Green I Based RT-PCR Assay for Detection of Omsk Hemorrhagic Fever Virus.

Project description: Not available

| S-EPMC8692553 | biostudies-literature

Development and evaluation of a SYBR Green real-time RT-PCR assay for detection of avian hepatitis E virus.

Project description:Avian hepatitis E virus (HEV) is the main causative agent of big liver and spleen disease, as well as hepatitis-splenomegaly syndrome in chickens. To date, conventional reverse transcriptase polymerase chain reaction (RT-PCR) and nested RT-PCR methods have been used for the diagnosis of avian HEV infection in chickens. However, these assays are time consuming, inconvenient, and cannot detect the virus quantitatively. In this study, a rapid and sensitive SYBR Green real-time RT-PCR assay was developed to detect avian HEV RNA quantitatively in serum, liver, spleen, and fecal samples from chickens.Based on the sequence of the most conserved HEV gene, ORF3, the primers for the assay were designed, and the standard plasmid was constructed. The detection limit of the assay was shown to be 10 copies/?l of standard plasmid/reaction, with a corresponding cycle-threshold value of 29.3. The standard curve exhibited a dynamic linear range across at least 7 log units of DNA copy number. The specificity and reproducibility of this assay was high, showing that the assay detected avian HEV RNA specifically and with little variability. Compared to conventional RT-PCR, the current assay is more sensitive for detecting avian HEV in serum, liver, spleen, and fecal samples from chickens.A rapid, specific, and reproducible SYBR Green real-time RT-PCR assay was developed for the diagnosis of avian HEV infection in chickens. This assay can accurately detect avian HEV RNA in serum, liver, spleen, and fecal samples with more sensitivity than conventional RT-PCR.

| S-EPMC4542097 | biostudies-literature

Development of SYBR Green I Based Real-Time RT-PCR Assay for Specific Detection of <i>Watermelon silver mottle Virus</i>.

Project description:BackgroundWatermelon silver mottle virus (WSMoV), which belongs to the genus Tospovirus, causes significant loss in Cucurbitaceae plants.ObjectivesDevelopment of a highly sensitive and reliable detection method for WSMoV.Materials and methodsRecombinant plasmids for targeting the sequence of nucleocapsid protein gene of WSMoV were constructed. SYBR Green I real-time PCR was established and evaluated with standard recombinant plasmids and 27 watermelon samples showing WSMoV infection symptoms.ResultsThe recombinant plasmid was used as template for SYBR Green I real-time PCR to generate standard and melting curves. Melting curve analysis indicated no primer-dimers and non-specific products in the assay. No cross-reaction was observed with Capsicum chlorosis virus (genus Tospovirus) and Cucumber mosaic virus (genus Cucumovirus). Repeatability tests indicated that inter-assay variability of the Ct values was 1.6%.ConclusionsA highly sensitive, reliable and rapid detection method of SYBR Green I real-time PCR for timely detection of WSMoV plants and vector thrips was established, which will facilitate disease forecast and control.

| S-EPMC5435019 | biostudies-literature

A SYBR Green I based real time RT-PCR assay for specific detection and quantitation of Peste des petits ruminants virus.

Project description:BackgroundPeste des petits ruminants (PPR) is an economically important disease of small ruminants such as sheep and goats. The disease is characterized by severe pyrexia, oculo-nasal discharge, pneumonia, necrosis and ulceration of the mucous membrane and inflammation of the gastro-intestinal tract leading to severe diarrhea. A SYBR Green I based real time RT-PCR targeting the N gene of PPRV has not been established for PPRV detection. Thus, the objective of present study was to develop highly sensitive N gene target SYBR Green I real time RT-PCR for specific detection and quantification of PPRV in clinical samples. A set of primers was designed to detect the nucleocapsid (N) gene of PPRV.ResultsThe assay exhibited high specificity as all the viruses which have clinical and structural similarities to PPRV including Canine distemper virus (CDV), Measles virus (MV), Bluetongue virus (BTV) and Newcastle disease virus (NDV) failed to show an amplification signal. The lower detection limit of the assay was 5.11 copies/μl (Ct value of 33.67 ± 0.5) and 0.001 TCID₅₀/ml (Ct value of 34.7 ± 0.5) based on plasmid copy number and tissue culture infectivity titre. The assay was 3-log more sensitive than the conventional RT-PCR. The coefficient of variation (CV) values for intra- and inter-assay variability were low, ranging from 0.32%-2.31%, and 0.71%-5.32%, respectively. To evaluate the performance of the newly developed assay, a total of 36 clinical samples suspected of PPR were screened for the presence of PPRV in parallel with conventional RT-PCR. The real time RT-PCR assay detected PPRV in 30 (83.3%) of clinical samples compared to 16 (44.4%) by conventional RT-PCR.ConclusionsThe two-step SYBR Green I based real time RT-PCR assay reported here is highly sensitive, specific, reproducible and rapid for detection and quantification of PPRV nucleic acids.

| S-EPMC3896792 | biostudies-literature

Diagnosis of Barmah Forest virus infection by a nested real-time SYBR green RT-PCR assay.

Project description:Barmah Forest virus (BFV) is a mosquito borne (+) ssRNA alphavirus found only in Australia. It causes rash, myalgia and arthralgia in humans and is usually diagnosed serologically. We developed a real-time PCR assay to detect BFV in an effort to improve diagnosis early in the course of infection. The limit of detection was 16 genome equivalents with a specificity of 100%. Fifty five serum samples from BFV-infected patients were tested by the PCR. 52 of 53 antibody-positive samples were PCR negative. Two culture-positive (neutralizing antibody negative) samples were positive on first round PCR, while one sample (IgM and neutralizing antibody strongly positive, IgG negative) was positive on second round PCR, suggesting that viral RNA is detectable and transiently present in early infection. PCR can provide results faster than culture, is capable of high throughput and by sequencing the PCR product strain variants can be characterized.

| S-EPMC3720699 | biostudies-literature

Lower cost alternatives for molecular diagnosis of COVID-19: conventional RT-PCR and SYBR Green-based RT-qPCR.

Project description:In March 2020, WHO declared a pandemic state due to SARS-CoV-2 having spread. TaqMan-based real-time RT-qPCR is currently the gold standard for COVID-19 diagnosis. However, it is a high-cost assay, inaccessible for the majority of laboratories around the world, making it difficult to diagnose on a large scale. The objective of this study was to standardize lower cost molecular methods for SARS-CoV-2 identification. E gene primers previously determined for TaqMan assays by Colman et al. (2020) were adapted in SYBR Green assay and RT-PCR conventional. The cross-reactivity test was performed with 17 positive samples for other respiratory viruses, and the sensibility test was performed with 8 dilutions (10 based) of SARS-CoV-2 isolated and 63 SARS-CoV-2-positive samples. The SYBR Green assays and conventional RT-PCR have not shown amplification of the 17 respiratory samples positives for other viruses. The SYBR Green-based assay was able to detect all 8 dilutions of the isolate. The conventional PCR detected until 107 dilution, both assays detected the majority of the 63 samples, 98.42% of positivity in SYBR Green, and 93% in conventional PCR. The average Ct variation between SYBR Green and TaqMan was 1.92 and the highest Ct detected by conventional PCR was 35.98. Both of the proposed assays are less sensitive than the current gold standard; however, our data shows a low sensibility variation, suggesting that these methods could be used by laboratories as a lower cost molecular method for SARS-CoV-2 diagnosis.

| S-EPMC7411266 | biostudies-literature

Rapid detection and differentiation of avian infectious bronchitis virus: an application of Mass genotype by melting temperature analysis in RT-qPCR using SYBR Green I.

Project description:A method based on Melting Temperature analysis of Hypervariable regions (HVR) of S1 gene within a RT-qPCR was developed to detect different genotypes of avian infectious bronchitis virus (IBV) and identify the Mass genotype. The method was able to rapidly identify the Mass genotype among IBV field isolates, vaccine attenuated strains and reference M41 strain in allantoic liquid and also directly in tissues. The RT-qPCR developed detected the virus in both tracheal and pulmonary samples from M41-infected or H120-infected birds, in a larger post-infection period compared to detection by standard method of virus isolation. RT-qPCR method tested provided a sensitivity and rapid approach for screening on IBV detection and Mass genotyping from IBV isolates.

| S-EPMC5938207 | biostudies-literature

Detection of herpes simplex virus 2: a SYBR-Green-based real-time PCR assay.

Project description:The prevalence of Herpes simplex virus 2 (HSV2) is increasing at an alarming rate in the world. Most of the HSV2 cases are not diagnosed properly, although a range of molecular and serological diagnoses exist. Herein, we have reported a very rapid detection method specific for HSV2 using real-time PCR. The primers specific for HSV2 were designed using the Primer-BLAST tool and 120 base pairs of the polymerase gene were amplified using real-time PCR with SYBR Green dye. The designed primer pair was found highly efficient in detecting only HSV2 DNA, but not HSV1. The threshold cycle (Ct) value for HSV2 reactions by designed primers was found to be an average of 22.55 for a standard copy number of viral DNA that may denote the efficiency of the primers. The melting temperature (Tm) of the amplicon using designed primers (82.6 0C) was also higher than that using reference primers (about 78 0C), indicating the high GC content of the amplified template. The designed primer pair will help clinicians to detect the HSV2 DNA specifically and diagnose the associated disease rapidly.

| S-EPMC8634051 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data