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观赏鱼中真鲷虹彩病毒检测方法比较研究
Comparative Study on Detection Methods of Red Sea Bream Iridovirus in Ornamental Fish

DOI: 10.12677/OJFR.2024.111002, PP. 12-18

Keywords: 真鲷虹彩病毒病,聚合酶链反应,毛细管电泳
Red Sea Bream Iridovirus
, Polymerase Chain Reaction, Capillary Electrophoresis

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Abstract:

为了解不同方法对观赏鱼中真鲷虹彩病毒(RSIVD)感染诊断的效果,探索有效的真鲷虹彩病毒检测方法,保证检测结果准确,提高实验室检测能力。本文以观赏鱼为材料,通过扩增曲线和Ct值,对SYBR Green法和荧光探针法进行比较分析;进一步对PCR产物进行毛细管电泳分析和构建发育树。结果表明,SYBR Green法和荧光探针法的扩增曲线均与标准对照曲线重合,Ct值也在阳性判定结果范围内;NCBI数据库blast比对,得到与标准对照品相似的片段。四种方法均能准确检测出观赏鱼中真鲷虹彩病毒病,为观赏鱼中真鲷虹彩病毒检测方法的选择应用提供了参考。
In order to understand the comparison of the diagnostic effects of different methods for red sea bream iridovirus infection in ornamental fish, we explored effective methods for red sea bream iridovirus detection to ensure the accuracy of the test results and to improve the laboratory’s detection ability. In this paper, the SYBR Green method and fluorescent probe method were compared and analyzed by amplification curves and Ct values using imported ornamental fish as materials; the PCR products were further analyzed by capillary electrophoresis and the developmental tree was constructed. The results showed that the amplification curves of both SYBR Green method and fluorescent probe method overlapped with the standard control curve, and the Ct values were within the range of positive determination results; the NCBI database blast comparison yielded fragments similar to the standard control. All four methods were able to accurately detect red sea bream iridovirus disease in ornamental fish, which provides a reference for the selection and application of red sea bream iridovirus detection methods in ornamental fish.

References

[1]  Yanbing, Z., Chunjie, Z., Zheling, Z., et al. (2023) Analysis of the Transcriptomic Profiles of Mandarin Fish (Siniperca chuatsi) Infected with Red Sea Bream Iridovirus (RSIV). Microbial Pathogenesis, 174, Article ID: 105921. https://doi.org/10.1016/j.micpath.2022.105921
[2]  Dang, T.L., Yasuike, M., Hirono, I., et al. (2007) Transcriptional Profile of Red Seabream Iridovirus in a Fish Model as Revealed by Viral DNA Microarrays. Virus Genes, 35, 449-461. https://doi.org/10.1007/s11262-007-0090-3
[3]  Puneeth, T.G., Baliga, P., Girisha, S.K., et al. (2021) Complete Genome Analysis of a Red Seabream Iridovirus (RSIV) Isolated from Asian Seabass (Lates calcarifer) in India. Virus Research, 291, Article ID: 198199. https://doi.org/10.1016/j.virusres.2020.198199
[4]  王海波, 史成银, 谢国驷, 等. 真鲷虹彩病毒引起养殖斑石鲷大规模死亡的研究[J]. 渔业科学进展, 2020, 41(4): 151-158.
[5]  袁向芬, 石素婷, 吕继洲, 等. 真鲷虹彩病毒LAMP检测方法的建立[J]. 中国动物检疫, 2018, 35(1): 95-99.
[6]  Kawato, Y., Mekata, T., Inada, M. and Ito, T. (2021) Application of Environmental DNA for Monitoring Red Sea Bream Iridovirus at a Fish Farm. Microbiology Spectrum, 9, e0079621.
[7]  Mohr, P.G., Moody, N.J.G., et al. (2015) Molecular Confirmation of Infectious Spleen and Kidney Necrosis Virus (ISKNV) in Farmed and Imported Ornamental Fish in Australia. Diseases of Aquatic Organisms, 116, 103-110. https://doi.org/10.3354/dao02896
[8]  Tamura, K., Stecher, G., Peterson, D., et al. (2013) MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0. Molecular Biology and Evolution, 30, 2725-2729. https://doi.org/10.1093/molbev/mst197
[9]  Saitou, N. and Nei, M. (1987) The Neighbor-Joining Method: A New Method for Reconstructing Phylogenetic Trees. Molecular Biology and Evolution, 4, 406-425.
[10]  Nei, M. and Kumar, S. (2000) Molecular Evolution and Phylogenetics. Oxford University Press, New York. https://doi.org/10.1093/oso/9780195135848.001.0001
[11]  Felsenstein, J. (1985) Confidence Limits on Phylogenies: An Approach Using the Bootstrap. Evolution, 39, 783-791. https://doi.org/10.2307/2408678

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