| Literature DB >> 26527283 |
Erik Alm1, Gunnel Lindegren2, Kerstin Ingrid Falk3,4, Nina Lagerqvist5.
Abstract
BACKGROUND: Dengue is one of the leading causes of morbidity in tropical and subtropical regions and infection with any of the four dengue virus serotypes (DENV1-4) result in a wide range of clinical manifestations. Given the geographic expansion of DENV1-4, assays for serotyping are needed to be able to perform surveillance and epidemiological studies. In this study, we describe the design and validation of one-step real-time serotype-specific DENV RT-PCR assays.Entities:
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Year: 2015 PMID: 26527283 PMCID: PMC4630907 DOI: 10.1186/s12879-015-1226-z
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Primer and probe sequences
| Assay | Primer/probe | Amplicon size (nt) | Target region | Sequences (5’-3’) | Position | Tm |
|---|---|---|---|---|---|---|
| DENV1 | DENV1_F | 71 | NS5 | CAATGGATGACAACAGAAGAYATG | 9974–9997 | 56.6 |
| DENV1_R | TCCATCCATGGGTTTTCCTCTAT | 10022–10044 | 59.5 | |||
| DENV1_P | TCAGTGTGGAATAGGGTTT | 10001–10019 | 70.0 | |||
| DENV2 | DENV2_F | 199 | E protein | GCAGAAACACAACATGGAACRATAGT | 1873–1898 | 56.6 |
| DENV2_R | TGATGTAGCTGTCTCCRAATGG | 2050–2071 | 59.8 | |||
| DENV2_P | TCAACATAGAAGCAGAACC | 2030–2048 | 68.0 | |||
| DENV3 | DENV3_F | 167 | NS1 | ATGGAATGTGTGGGAGGTGG | 2860–2879 | 59.1 |
| DENV3_R | GGCTTTCTATCCARTAGCCCATG | 3004–3026 | 59.8 | |||
| DENV3_P | TATGGCTGAAACTCCGAG | 2913–2930 | 68.0 | |||
| DENV4 | DENV4_F | 114 | 5’ UTR/ | GCAGATCTCTGGAAAAATGAACCA | 86–109 | 60.4 |
| DENV4_R | capsid | GAGAATCTCTTCACCAACCCYTG | 177–199 | 59.8 | ||
| DENV4_P | protein | TCAATATGCTGAAACGC | 136–152 | 68.0 |
Degenerated nucleotides (nt): R: A/G, Y: G/A/C. The MGB-modified probes were labelled with FAM and a non-fluorescence quencher (NFQ)
Genome positions are given according to the NCBI reference sequence for DENV1 [GenBank:NC_001477], DENV2 [GenBank:NC_001474], DENV3 [GenBank:NC_001475], and DENV4 [GenBank:NC_002640]
The mean melting temperatures (Tm) are shown for primers with degenerated nucleotides
Fig. 1Linear dynamic range. The linear dynamic ranges of the RT-PCR assays were determined by testing triplicates of 10-fold serially diluted in vitro transcribed RNA. Panel (a) represents the DENV1 assay, and (b), (c), and (d) the DENV2, DENV3, and DENV4 RT-PCR assays, respectively. Each dot represents the mean Cq-value from three replicates, the error bars indicate 95 % confidence intervals, and the lines represents the best fitting lin-log regression models
Fig. 2Limit of detection. Limit of detection was determined by assaying eight replicates of twofold serially diluted RNA transcripts in three separate experiments. The number of positives per total number of replicates tested is shown for (a) the DENV1 RT-PCR assay, (b) the DENV2 RT-PCR assay, (c) the DENV3 RT-PCR assay, and (d) the DENV4 RT-PCR assay. Horizontal lines indicate mean values, boxes denote the 25th to 75th percentiles, whiskers the 5–95 % percentiles, and dots represent outliers
Specificity of the DENV1, DENV2, DENV3, and DENV4 real-time RT-PCR assays
| Sample | No. of positive samples/no. tested | |||
|---|---|---|---|---|
| DENV1 RT-PCR | DENV2 RT-PCR | DENV3 RT-PCR | DENV4 RT-PCR | |
| DENV1 isolates | 11/11 | 0/11 | 0/11 | 0/11 |
| DENV2 isolates | 0/5 | 5/5 | 0/5 | 0/5 |
| DENV3 isolates | 0/6 | 0/6 | 6/6 | 0/6 |
| DENV4 isolates | 0/2 | 0/2 | 0/2 | 2/2 |
| QCMD panel, DENV1 | 17/17 | 0/17 | 0/17 | 0/17 |
| QCMD panel, DENV2 | 0/11 | 11/11 | 0/11 | 0/11 |
| QCMD panel, DENV3 | 0/8 | 0/8 | 8/8 | 0/8 |
| QCMD panel, DENV4 | 0/4 | 0/4 | 0/4 | 4/4 |
| QCMD negative controls | 0/8 | 0/8 | 0/8 | 0/8 |
RNA preparations from DENV1, DENV2, DENV3, and DENV4 isolates obtained Cq-values between 16 and 25 when analyzed using their respective serotype-specific RT-PCR assay
The concentrations of DENV1, DENV2, and DENV3 included in the QCMD panels were 103 to 106, 102 to 105, and 103 to 105 copies/mL, respectively. The concentration of DENV4 was 105 copies/mL in all four QCMD panel samples
Comparable analysis between the serotype-specific RT-PCR assays and the CDC DENV1-4 RT-PCR
| CDC DENV1 RT-PCR | |||
| negative | Positive | ||
| DENV1 RT-PCR | negative | 36 | 0 |
| positive | 6 | 43 | |
| CDC DENV2 RT-PCR | |||
| negative | positive | ||
| DENV2 RT-PCR | negative | 67 | 0 |
| positive | 6 | 12 | |
| CDC DENV3 RT-PCR | |||
| negative | positive | ||
| DENV3 RT-PCR | negative | 76 | 0 |
| positive | 2 | 7 | |
| CDC DENV4 RT-PCR | |||
| negative | positive | ||
| DENV4 RT-PCR | negative | 78 | 0 |
| positive | 1 | 6 | |
A sample was classified as positive in the CDC DENV-1-4 real-time RT-PCR assays if the amplification curve crossed the threshold line within 37 cycles
Five of the six DENV1 RT-PCR positive samples, two of the six DENV2 RT-PCR positive samples, both the DENV3 RT-PCR positive samples, and the DENV4 RT-PCR positive sample that tested negative in respective CDC DENV-1-4 RT-PCR singleplex assay crossed the threshold line between 37 and 40 cycles in the CDC assays