Rapid detection of goose astrovirus genotypes 2 using real-time reverse transcription recombinase polymerase amplification
文献类型: 外文期刊
第一作者: Li, Haiqin
作者: Li, Haiqin;Tan, Meifang;Zhang, Fanfan;Zeng, Yanbing;Huang, Jiangnan;Wu, Chengcheng;Kang, Zhaofeng;Li, Haiqin;Guo, Xiaoqiao;Zhu, Yujun;Zhu, Yujun;Wan, Chunhe;Huang, Yu;Wang, Zhangzhang;Liu, Lei
作者机构:
关键词: Goose astrovirus genotypes 2; Real-time; Reverse transcription recombinase polymerase amplification; Point-of-care diagnosis
期刊名称:BMC VETERINARY RESEARCH ( 影响因子:2.6; 五年影响因子:2.9 )
ISSN:
年卷期: 2023 年 19 卷 1 期
页码:
收录情况: SCI
摘要: BackgroundGoose astrovirus (GoAstV) is an important pathogen that causes joint and visceral gout in goslings. It has been circulating in many provinces of China since 2017. Goose astrovirus genotypes 2 (GoAstV-2) is the main epidemic strain, and its high morbidity and mortality have caused huge economic losses to the goose industry. An accurate point-of-care detection for GoAstV-2 is of great significance. In this study, we developed a real-time reverse transcription recombinase polymerase amplification (RT-RPA) method for the on-site detection of GoAstV-2 infection.ResultsThe real-time RT-RPA reaction was carried out at a constant temperature of 39 degrees C, and the entire detection time from nucleic acid preparation to the end of amplification was only 25 min using the portable device. The results of a specificity analysis showed that no cross-reaction was observed with other related pathogens. The detection limit of the assay was 100 RNA copies/mu L. The low coefficient of variation value indicated excellent repeatability. We used 270 clinical samples to evaluate the performance of our established method, the positive concordance rates with RT-qPCR were 99.6%, and the linear regression analysis revealed a strong correlation.ConclusionsThe established real-time RT-RPA assay showed high rapidity, specificity and sensitivity, which can be widely applied in the laboratory, field and especially in the resource-limited settings for GoAstV-2 point-of-care diagnosis.
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