Development of a SYBR-Green I quantitative PCR assay for the detection and genotyping of different hantaviruses

被引:4
|
作者
Liu, Ziyu [1 ]
Wang, Fang [1 ]
Yuan, Lijuan [2 ]
Zhang, Xiaoxiao [1 ]
Ying, Qikang [1 ]
Yu, Lan [1 ]
Zhang, Liang [1 ]
Cheng, Linfeng [1 ]
Zhang, Fanglin [1 ]
Lu, Jianguo [2 ]
Wu, Xing'an [1 ]
机构
[1] Fourth Mil Med Univ, Dept Microbiol, 17 Changle West Rd, Xian 710032, Shaanxi, Peoples R China
[2] Fourth Mil Med Univ, Tangdu Hosp, Dept Gen Surg, 169 Xinsi Rd, Xian 710038, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Hantaan virus; Seoul virus; hemorrhagic fever with renal syndrome; quantitative PCR; detection; genotyping; RIFT-VALLEY FEVER; REVERSE TRANSCRIPTION-PCR; REAL-TIME PCR; HEMORRHAGIC-FEVER; HANTAAN VIRUS; PUUMALA HANTAVIRUS; RENAL SYNDROME; DISEASE; QUANTIFICATION; PATHOGENESIS;
D O I
10.3892/ijmm.2016.2678
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Hemorrhagic fever with renal syndrome (HFRS) is a severe, viral zoonotic disease which occurs worldwide, particularly in Asia and Europe. In China, the Hantaan virus (HTNV) and the Seoul virus (SEOV) are known to be the most prevalent causative agents of HFRS. Since no protective vaccines or effective treatments are available for human use, accurate and reliable diagnostic methods are essential for disease surveillance. In the present study, the viral loads in cell culture supernatant, infected mice blood and clinical serum samples were quantified using the SYBR-Green I-based reverse transcription-quantitiative polymerase chain reaction (RT-qPCR) assay, which targeted the S gene sequence of the HTNV and SEOV genomes. The cRNA of these two viruses were synthesized as a positive control and 10-fold serially diluted from 1x10(5) to 1x10(0) copies/mu l. Standard curves were generated by plotting the mean cycle threshold (Ct) values versus copy numbers. The standard curve of HTNV had a correlation coefficient (R-2) of 0.994, efficiency of amplification (E) of 101.9%, and the slope of -3.278, whereas that of SEOV had an R-2 of 0.993, E of 104.8%, and the slope of -3.212. The minimum detection limit of the RT-qPCR assay for HTNV and SEOV was 10(1) copies/mu l. Two qPCR assays were successfully established for the detection of HTNV and SEOV, respectively. Taken together, these findings demonstrate that using the SYBR-Green I-based RT-qPCR assay, the HTNV and SEOV may be genotyped precisely without cross-reactivity. Furthermore, viral RNA may be detected and quantified in cells, mice and infected individuals, which may be useful in epidemiological studies as well as for early monitoring and further preventative treatment against SEOV and HTNV-induced diseases.
引用
收藏
页码:951 / 960
页数:10
相关论文
共 50 条
  • [21] Development and application of a low-priced duplex quantitative PCR assay based on SYBR Green I for the simultaneous detection of porcine deltacoronavirus and porcine sapelovirus
    Lu, Si-jia
    Ma, Meng-Yao
    Yan, Xiao-Guang
    Zhao, Fu-Jie
    Hu, Wen-Yang
    Ding, Qing-Wen
    Ren, Hao-Jie
    Xiang, Yu-Qiang
    Zheng, Lan-Lan
    VETERINARNI MEDICINA, 2023, 68 (03) : 106 - 115
  • [22] Development of an SYBR Green I-based real-time PCR assay for the rapid detection of canine kobuvirus
    Wang, Yong
    Cui, Yongqiu
    Li, Yeqiu
    Zhang, Da
    Sun, Jianfei
    Guo, Xu
    Liu, Guangqing
    Jiang, Shudong
    Li, Yongdong
    JOURNAL OF VIROLOGICAL METHODS, 2020, 285
  • [23] Development and Characterization of SYBR Green I Based RT-PCR Assay for Detection of Omsk Hemorrhagic Fever Virus
    Zhang, Ya-Nan
    Liu, Si-Qing
    Deng, Cheng-Lin
    Yuan, Zhi-Ming
    Zhang, Bo
    Li, Xiao-Dan
    Ye, Han-Qing
    VIROLOGICA SINICA, 2021, 36 (06) : 1644 - 1647
  • [24] Development of New PCR Assay with SYBR Green I for Detection of Mycoplasma, Acholeplasma, and Ureaplasma sp. in Cell Cultures
    Krzyszton-Russjan, Jolanta
    Chudziak, Jakub
    Bednarek, Malgorzata
    Anuszewska, Elzbieta Lidia
    DIAGNOSTICS, 2021, 11 (05)
  • [25] Development and Characterization of SYBR Green I Based RT-PCR Assay for Detection of Omsk Hemorrhagic Fever Virus
    Ya-Nan Zhang
    Si-Qing Liu
    Cheng-Lin Deng
    Zhi-Ming Yuan
    Bo Zhang
    Xiao-Dan Li
    Han-Qing Ye
    Virologica Sinica, 2021, 36 (06) : 1644 - 1647
  • [26] Development and validation of a SYBR Green real-time PCR assay for rapid and quantitative detection of goose interferons and proinflammatory cytokines
    Zhou, Hao
    Chen, Shun
    Qi, Yulin
    Wang, Mingshu
    Jia, Renyong
    Zhu, Dekang
    Liu, Mafeng
    Liu, Fei
    Chen, Xiaoyue
    Cheng, Anchun
    POULTRY SCIENCE, 2015, 94 (10) : 2382 - 2387
  • [27] Development and validation of a SYBR-Green I Real-Time PCR test to detect bivalves including Mytilus species in foods
    Graziano, Sara
    Gulli, Mariolina
    Marmiroli, Nelson
    INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY, 2017, 52 (07): : 1567 - 1575
  • [28] Development of a SYBR Green I real-time PCR for the detection of the orf virus
    Yong Wang
    Kankan Yang
    Caixia Bai
    Dongdong Yin
    Gang Li
    Kezong Qi
    Guijun Wang
    Yongdong Li
    AMB Express, 7
  • [29] Development of a real-time SYBR Green PCR assay for the rapid detection of Dermatophilus congolensis
    Garcia, Alfredo
    Martinez, Remigio
    Manuel Benitez-Medina, Jose
    Risco, David
    Luis Garcia, Waldo
    Rey, Joaquin
    Manuel Alonso, Juan
    Hermoso de Mendoza, Javier
    JOURNAL OF VETERINARY SCIENCE, 2013, 14 (04) : 491 - 494
  • [30] Development of a SYBR Green I real-time PCR for the detection of the orf virus
    Wang, Yong
    Yang, Kankan
    Bai, Caixia
    Yin, Dongdong
    Li, Gang
    Qi, Kezong
    Wang, Guijun
    Li, Yongdong
    AMB EXPRESS, 2017, 7