Development of multiplex PCR-ligase detection reaction assay for detection of West Nile virus. Academic Article uri icon

Overview

abstract

  • We have developed a novel multiplex reverse transcription-PCR ligase detection reaction (RT-PCR/LDR) assay for the detection of West Nile virus (WNV) in both clinical and mosquito pool samples. The method relies on the amplification of three different genomic regions, one in the coding sequence of nonstructural protein NS2a and two in nonstructural protein NS5, to minimize the risk of detection failure due to genetic variation. The sensitivity of the PCR is complemented by the high specificity of the LDR step, and the detection of the LDR products can be achieved with capillary electrophoresis (CE) or a universal DNA microarray. We evaluated the limit of detection by both one-step and two-step multiplex RT-PCR/LDR/CE approaches, which reached, respectively, 0.005 and 0.017 PFU. The assay demonstrated 99% sensitivity when mosquito pool samples were tested and 100% sensitivity with clinical samples when the one-step approach was used. The broad strain coverage was confirmed by testing 34 WNV isolates belonging to lineages 1 and 2, and the high specificity of the assay was determined by testing other flaviviruses, as well as negative mosquito pool and clinical samples. In summary, the multiplex RT-PCR/LDR assay could represent a valuable complement to WNV serological diagnosis, especially in early symptomatic patients. In addition, the multiplexing capacity of the technique, which can be coupled to universal DNA microarray detection, makes it an amenable tool to develop a more comprehensive assay for viral pathogens.

publication date

  • May 21, 2008

Research

keywords

  • DNA Ligases
  • Polymerase Chain Reaction
  • West Nile Fever
  • West Nile virus

Identity

PubMed Central ID

  • PMC2446923

Scopus Document Identifier

  • 49049094475

Digital Object Identifier (DOI)

  • 10.1128/JCM.02335-07

PubMed ID

  • 18495862

Additional Document Info

volume

  • 46

issue

  • 7