Epidemiological investigation of goose circovirus based on a newly developed indirect ELISA method
文献类型: 外文期刊
第一作者: Chen, Jialong
作者: Chen, Jialong;Xue, Wenchang;Yao, Zhanxin;Wang, Chao;Wang, He;Zhang, Jipei;Chen, Jidang;Zhu, Wanjun;Wang, He;Tang, Yi;Liu, Rongchang;Chen, Jidang
作者机构:
关键词: goose circovirus; capsid protein; serological detection methods; prokaryotic expression; indirect ELISA
期刊名称:FRONTIERS IN VETERINARY SCIENCE ( 影响因子:2.9; 五年影响因子:3.3 )
ISSN:
年卷期: 2025 年 12 卷
页码:
收录情况: SCI
摘要: Goose circovirus (GoCV) is a recently identified pathogen in geese that is known to cause slow growth, feather disorder syndrome, and immunosuppression. Infection with GoCV may increase the risk of coinfections with multiple pathogens, leading to significant economic losses in the goose industry. However, due to a lack of serological detection methods, analysis of viral nucleic acids has been widely used in GoCV epidemiological surveys, which has limited accurate monitoring of the prevalence of GoCV. In this study, we developed and optimized an indirect ELISA method based on the prokaryotic-expressed recombinant GoCV capsid protein (triangle Cap-iELISA). The triangle Cap-iELISA was then used to test 349 goose serum samples collected from Guangdong, Shandong, and Fujian provinces during 2023 and 2024. The results showed that the positive rate of GoCV antibodies in the sampled geese was 71.06%. Further analysis indicated that the positive rate of GoCV antibodies increased with the age of the geese. In conclusion, we have developed a novel iELISA method that is well-suited for large-scale clinical detection and early diagnosis of GoCV infection. Notably, a significant correlation between age and the positive rate of GoCV antibodies among geese was observed based on this newly established method.
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