Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol.
Sec. Virology
Volume 15 - 2024 | doi: 10.3389/fmicb.2024.1472782

Development and application of a quantitative real-time PCR method for detection of Decapod iridescent virus 1

Provisionally accepted
  • College of Geography and Oceanography, Minjiang University, Fuzhou, Fujian Province, China

The final, formatted version of the article will be published soon.

    As a newly discovered virus, Decapoda iridovirus 1 (DIV1) can cause a mortality rate of up to 100% in crustaceans, leading to huge economic losses. At present, there is no effective prevention and control measures for this disease. In the present study, the specific primers targeting highly conserved regions of MCP gene were designed, and then a quantitative real-time PCR method was established. The results indicate that DIV1 quantitative real-time PCR established has good specificity and does not cross react with other pathogens including White Spot Syndrome Virus (WSSV), Infectious Subcutaneous and Hematopoietic Necrosis Virus (IHHNV) and Vibrio parahaemolyticus induced Acute Hepatopancreatic Necrosis Disease (VpAHPND). The real-time PCR was capable of detecting DIV1 DNA at a minimum concentration of 10 copies/μL within 34 cycles. The method has good repeatability, with intra group and inter group coefficients of variation both less than 2%. 32 clinical samples were assessed using both the real-time PCR and conventional PCR. The results shown realtime PCR we established are more sensitive than conventional PCR. In conclusion, this method has strong specificity, stable repeatability, and high sensitivity, providing technical support for clinical diagnosis, epidemiology investigation and monitoring of DIV1. Keyword : DIV1 ; SYBR Green Ⅰ ; Real-time PCR ; MCP gene ; Detection Method

    Keywords: DIV1, SYBR green I ®, Real-Time PCR, MCP gene, Detection method

    Received: 30 Jul 2024; Accepted: 03 Sep 2024.

    Copyright: © 2024 Zhao, Liu, Zheng, Zhang, Han, Zhou, Ma, Wang and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Wei Wang, College of Geography and Oceanography, Minjiang University, Fuzhou, 350108, Fujian Province, China
    Jianming Chen, College of Geography and Oceanography, Minjiang University, Fuzhou, 350108, Fujian Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.