4.2 Article

Real-time RT-PCR for detection, identification and absolute quantification of viral haemorrhagic septicaemia virus using different types of standards

Journal

DISEASES OF AQUATIC ORGANISMS
Volume 114, Issue 2, Pages 99-116

Publisher

INTER-RESEARCH
DOI: 10.3354/dao02840

Keywords

qPCR; Viral haemorrhagic septicaemia virus; Quantification

Funding

  1. Xunta de Galicia [EM201/2005]
  2. Ministerio de Ciencia e Innovacion [CSD2007-00002]
  3. Ministerio de Educacion [MHE2011-00116]
  4. Consolider-Ingenio program

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In the present study, 2 systems of real-time RT-PCR-one based on SYBR Green and the other on TaqMan-were designed to detect strains from any genotype of viral haemorrhagic septicaemia virus (VHSV), with high sensitivity and repeatability/reproducibility. In addition, the method was optimized for quantitative purposes (qRT-PCR), and standard curves with different types of reference templates were constructed and compared. Specificity was tested against 26 isolates from 4 genotypes. The sensitivity of the procedures was first tested against cell culture isolation, obtaining a limit of detection (LD) of 10(0) TCID50 ml(-1) (100-fold below the LD using cell culture), at a threshold cycle value (Ct) of 36. Sensitivity was also evaluated using RNA from crude (LD = 1 fg; 160 genome copies) and purified virus (100 ag; 16 copies), plasmid DNA (2 copies) and RNA transcript (15 copies). No differences between both chemistries were observed in sensitivity and dynamic range. To evaluate repeatability and reproducibility, all experiments were performed in triplicate and on 3 different days, by workers with different levels of experience, obtaining Ct values with coefficients of variation always < 5. This fact, together with the high efficiency and R-2 values of the standard curves, encouraged us to analyse the reliability of the method for viral quantification. The results not only demonstrated that the procedure can be used for detection, identification and quantification of this virus, but also demonstrated a clear correlation between the regression lines obtained with different standards, which will help scientists to compare sensitivity results between different studies.

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