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DOI 10.1007/s12250-017-3958-y

Медицинская библиотека · Virologica Sinica · 2017

Development of a reverse transcription quantitative polymerase chain reaction-based assay for broad coverage detection of African and Asian Zika virus lineages.

Yang Yang, Wong Gary, Ye Baoguo, Li Shihua, Li Shanqin, Zheng Haixia, Wang Qiang, Liang Mifang, Gao George F, Liu Lei, Liu Yingxia, Bi Yuhai

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Аннотация

The Zika virus (ZIKV) is an arbovirus that has spread rapidly worldwide within recent times. There is accumulating evidence that associates ZIKV infections with Guillain-Barré Syndrome (GBS) and microcephaly in humans. The ZIKV is genetically diverse and can be separated into Asian and African lineages. A rapid, sensitive, and specific assay is needed for the detection of ZIKV across various pandemic regions. So far, the available primers and probes do not cover the genetic diversity and geographic distribution of all ZIKV strains. To this end, we have developed a one-step quantitative reverse transcription polymerase chain reaction (qRT-PCR) assay based on conserved sequences in the ZIKV envelope (E) gene. The detection limit of the assay was determined to be five RNA transcript copies and 2.94 × 10-3 50% tissue culture infectious doses (TCID50) of live ZIKV per reaction. The assay was highly specific and able to detect five different ZIKV strains covering the Asian and African lineages without nonspecific amplification, when tested against other flaviviruses. The assay was also successful in testing for ZIKV in clinical samples. Our assay represents an improvement over the current methods available for the detection ZIKV and would be valuable as a diagnostic tool in various pandemic regions.

Для цитирования: Yang Yang, Wong Gary, Ye Baoguo, Li Shihua, Li Shanqin, Zheng Haixia, Wang Qiang, Liang Mifang, Gao George F, Liu Lei, Liu Yingxia, Bi Yuhai. Development of a reverse transcription quantitative polymerase chain reaction-based assay for broad coverage detection of African and Asian Zika virus lineages.. Virologica Sinica. 2017. DOI: 10.1007/s12250-017-3958-y.

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