Simultaneous Detection and Mutation Surveillance of SARS-CoV-2 and co-infections of multiple respiratory viruses by Rapid field-deployable sequencing.

Chongwei Bi, Gerardo Ramos Mandujano, Yeteng Tian, Sharif Hala, Jinna Xu, Sara Mfarrej, Concepcion Rodriguez Esteban, Estrella Nuñez Delicado, Fadwa S Alofi, Asim Khogeer, Anwar M Hashem, Naif A M Almontashiri, Arnab Pain, Juan Carlos Izpisua Belmonte, Mo Li

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

BackgroundStrategies for monitoring the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are crucial for combating the pandemic. Detection and mutation surveillance of SARS-CoV-2 and other respiratory viruses require separate and complex workflows that rely on highly-specialized facilities, personnel, and reagents. To date, no method can rapidly diagnose multiple viral infections and determine variants in a high-throughput manner.MethodsWe describe a method for multiplex isothermal amplification-based sequencing and real-time analysis of multiple viral genomes, termed NIRVANA. It can simultaneously detect SARS-CoV-2, influenza A, human adenovirus, and human coronavirus, and monitor mutations for up to 96 samples in real-time.FindingsNIRVANA showed high sensitivity and specificity for SARS-CoV-2 in 70 clinical samples with a detection limit of 20 viral RNA copies per μl of extracted nucleic acid. It also detected the influenza A co-infection in two samples. The variant analysis results of SARS-CoV-2 positive samples mirror the epidemiology of COVID-19. Additionally, NIRVANA could simultaneously detect SARS-CoV-2 and PMMoV (an omnipresent virus and water quality indicator) in municipal wastewater samples.ConclusionsNIRVANA provides high-confidence detection of both SARS-CoV-2 and other respiratory viruses and mutation surveillance of SARS-CoV-2 on the fly. We expect it to offer a promising solution for rapid field-deployable detection and mutational surveillance of pandemic viruses.FundingM.L. is supported by KAUST Office of Sponsored Research (BAS/1/1080-01). This work is supported by KAUST Competitive Research Grant (URF/1/3412-01-01, M.L. and J.C.I.B.) and Universidad Catolica San Antonio de Murcia (J.C.I.B.). A.M.H. is supported by Saudi Ministry of Education (project 436).
Original languageEnglish (US)
JournalMed (New York, N.Y.)
DOIs
StatePublished - Apr 6 2021

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