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© 2019 Hayashida et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Detection and sequencing of chikungunya virus (CHIKV) genome was performed using a combination of a modified reverse transcription loop-mediated isothermal amplification (RT-LAMP) method and a MinION sequencer. We developed the protocol for drying all the reagents for the RT-LAMP in a single reaction tube. Using this system, the CHIKV genome was effectively amplified under isothermal conditions, and used as a template for MinION sequencing with a laptop computer. Our in-house RT-LAMP method and MinION sequencing system were also validated with RNAs and serum samples from recent outbreaks of CHIKV patients in Brazil. The obtained sequence data confirmed the CHIKV outbreaks and identified the genotype. In summary, our established inexpensive on-site genome detection and sequencing system is applicable for both diagnosis of CHIKV infected patients and genotyping of the CHIKV virus in future outbreak in remote areas.

Details

Title
Field diagnosis and genotyping of chikungunya virus using a dried reverse transcription loop-mediated isothermal amplification (LAMP) assay and MinION sequencing
Author
Hayashida, Kyoko; Orba, Yasuko; Sequeira, Patricia C; Sugimoto, Chihiro; Hall, William W; Eshita, Yuki; Suzuki, Yutaka; Runtuwene, Lucky; Brasil, Patricia; Calvet, Guilherme; Rodrigues, Cintia D S; dos Santos, Carolina C; Mares-Guia, Maria A M; Yamagishi, Junya; de Filippis, M B; Sawa, Hirofumi
First page
e0007480
Section
Research Article
Publication year
2019
Publication date
Jun 2019
Publisher
Public Library of Science
ISSN
19352727
e-ISSN
19352735
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2258788003
Copyright
© 2019 Hayashida et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.