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Development of a High-throughput Sequencing Platform for Detection of Viral Encephalitis Pathogens Based on Amplicon Sequencing

摘要Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing.Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing.Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing.Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

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作者 ZHANG Ya Li [1] SU Wen Zhe [2] WANG Rui Chen [3] LI Yan [4] ZHANG Jun Feng [3] LIU Sheng Hui [3] HU Dan He [3] XU Chong Xiao [3] YIN Jia Yu [3] YIN Qi Kai [3] HE Ying [3] LI Fan [3] FU Shi Hong [3] NIE Kai [3] LIANG Guo Dong [3] TAO Yong [5] XU Song Tao [3] MA Chao Feng [6] WANG Huan Yu [3] 学术成果认领
作者单位 Shaanxi University of Chinese Medicine,Xianyang 712000,Shaanxi,China;National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases,National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention,Beijing 102206,China [1] Guangzhou Center for Disease Control and Prevention,Guangzhou 510000,Guangdong,China [2] National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases,National Institute for Viral Disease Control and Prevention,Chinese Center for Disease Control and Prevention,Beijing 102206,China [3] Shandong Center for Disease Control and Prevention,Jinan 250000,Shandong,China [4] Department of Ophthalmology,Beijing Chaoyang Hospital,Capital Medical University,Beijing 100020,China [5] Shaanxi University of Chinese Medicine,Xianyang 712000,Shaanxi,China;Xi'an Center for Disease Control and Prevention,Xi'an 710054,Shaanxi,China [6]
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DOI 10.3967/bes2024.032
发布时间 2024-04-22(万方平台首次上网日期,不代表论文的发表时间)
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