Development of a sandwich ELISA for the detection of Chinese sacbrood virus infection

Chinese sacbrood disease (CSBD) is a highly pathogenic infectious disease in bees that is caused by Chinese sacbrood virus (CSBV). Although several molecular detection methods have been developed for CSBV, there are no commercially available enzyme-linked immunosorbent assay (ELISA) kits. We therefo...

Full description

Saved in:
Bibliographic Details
Published inArchives of virology Vol. 165; no. 7; pp. 1551 - 1556
Main Authors Li, Ming, Sun, Li, Ma, Yueyu, Fei, Dongliang, Ma, Mingxiao
Format Journal Article
LanguageEnglish
Published Vienna Springer Vienna 01.07.2020
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Chinese sacbrood disease (CSBD) is a highly pathogenic infectious disease in bees that is caused by Chinese sacbrood virus (CSBV). Although several molecular detection methods have been developed for CSBV, there are no commercially available enzyme-linked immunosorbent assay (ELISA) kits. We therefore developed a sandwich ELISA to detect CSBV antigens. To this end, monoclonal antibodies were produced using VP2 as an immunogen and subsequently characterized. Hybridomas were screened for the secretion of immunoglobulin G (IgG). Using an unlabeled monoclonal antibody (mAb) for coating and a horseradish peroxidase (HRP)-labeled mAb for detection, a CSBV sandwich ELISA method was established. This method showed specificity for CSBV and did not show cross-reactivity with other bee viruses. The detection limit of the sandwich ELISA was 3.675 × 10 4 copies/µL. Sixty bee larvae were tested using our sandwich ELISA method, and the presence of CSBV was verified by reverse transcription polymerase chain reaction (RT-PCR). The total coincidence rate was 90%. Thus, a sandwich ELISA method with high specificity and accuracy and a detection limit of 3.675 × 10 4 copies/µL has been successfully developed and can be used for the clinical detection of CSBV. This method will support rapid diagnosis, real-time monitoring, and early warning of CSBD.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Undefined-1
ObjectType-Feature-3
content type line 23
ISSN:0304-8608
1432-8798
DOI:10.1007/s00705-020-04634-2