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Establishment of two visual interpretation methods of DIV1 LAMP amplification products

文献类型： 外文期刊

作者： Li, Chen 1 ; Jiang, Kaiting 1 ; Qiu, Liang 1 ; Zhang, Qingli 1 ; Yang, Bing 1 ;

作者机构： 1.Chinese Acad Fishery Sci, Key Lab Maricultural Organism Dis Control, Minist Agr, Qingdao Key Lab Mariculture Epidemiol & Biosecur,Q, Qingdao 266071, Peoples R China

关键词： Visual interpretation methods; DIV1; Loop -mediated isothermal amplification; (LAMP)

期刊名称：JOURNAL OF VIROLOGICAL METHODS （ 影响因子：3.1； 五年影响因子：2.4 ）

ISSN： 0166-0934

年卷期： 2023 年 322 卷

页码：

收录情况： SCI

摘要： Viral diseases have become a significant impediment to the sustainable development of the global shrimp aquaculture industry. Decapod iridescent virus 1 (DIV1) is an emerging shrimp virus that has affected shrimp in China recent years. Rapid detection of DIV1 could improve enhance the effectiveness of prevention, control and treatment in the absence of good prevention and control measures. This study established loop-mediated isothermal amplification (LAMP) along with two visual interpretation methods, LAMP-dye and LAMP-LFD, to detect DIV1. The newly developed method would not cause cross-reactions with other shrimp pathogens such as white spot syndrome virus (WSSV), infectious hypodermal and hematopoietic necrosis virus (IHHNV), Enterocytozoon hepatopenaei (EHP), and Vibrio parahaemolyticus acute hepatopancreatic necrosis disease (VpAHPND). The detection limit of DIV1 LAMP was as low as 103 copies of DIV1 per reaction, with a reaction time of less than 40 min. The diagnostic sensitivity and diagnostic specificity of this method were determined to be 88% and 100%, respectively, when compared with the conventional PCR. Both of the LAMP-dye and LAMP-LFD methods are cost-effective and do not require expensive amplification equipment. They can be combined with LAMP and other temperature amplification methods for rapid on-site detection, effectively prevent aerosol contamination, and which are convenient and suitable for field testing or preliminary infection rish prediction experiments to predict the risk of infection.

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