4.7 Article

Method comparison for Japanese encephalitis virus detection in samples collected from the Indo-Pacific region

Journal

FRONTIERS IN PUBLIC HEALTH
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpubh.2022.1051754

Keywords

Japanese encephalitis virus (JEV); Magpix; SISPA; minION device; MiSeq; Twist Comprehensive Viral Research Panel (CVRP)

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This study used multiple methods to detect Japanese encephalitis virus (JEV) in mosquito samples collected in South Korea and compared their effectiveness. The results showed that RT-PCR, Twist CVRP, and SISPA methods were able to detect JEV genotype I, while the proprietary Magpix panel could only detect JEV genotype III. The study found that RT-PCR was the most cost-effective method, but TWIST CVRP allowed for the identification of over 3,100 viral genomes.
IntroductionJapanese encephalitis virus (JEV) is a mosquito-borne viral pathogen, which is becoming a growing public health concern throughout the Indo-Pacific. Five genotypes of JEV have been identified. Current vaccines are based on genotype III and provide a high degree of protection for four of the five known genotypes. MethodsRT-PCR, Magpix, Twist Biosciences Comprehensive Viral Research Panel (CVRP), and SISPA methods were used to detect JEV from mosquito samples collected in South Korea during 2021. These methods were compared to determine which method would be most effective for biosurveillance in the Indo-Pacific region. ResultsOur data showed that RT-PCR, Twist CVRP, and SISPA methods were all able to detect JEV genotype I, however, the proprietary Magpix panel was only able to detect JEV genotype III. Use of minION sequencing for pathogen detection in arthropod samples will require further method development. ConclusionBiosurveillance of vectorborne pathogens remains an area of concern throughout the Indo-Pacific. RT-PCR was the most cost effective method used in the study, but TWIST CVRP allows for the identification of over 3,100 viral genomes. Further research and comparisons will be conducted to ensure optimal methods are used for large scale biosurveillance.

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