Ct Value from RT-qPCR Can Predict SARS-CoV-2 Virus Assembly and Lineage Assignment Success

Author:

Hadzega Dominik1,Babisová Klaudia1,Hyblová Michaela1ORCID,Janostiaková Nikola2,Sabaka Peter3ORCID,Janega Pavol1,Minarik Gabriel1

Affiliation:

1. Medirex Group Academy, n.o. Novozámocká 67, 949 05 Nitra, Slovakia

2. Institute of Medical Biology, Genetics and Clinical Genetics, Medical Faculty, Comenius University in Bratislava, Špitálska 24, 811 08 Bratislava, Slovakia

3. Department of Infectology and Geographical Medicine, Faculty of Medicine, Comenius University in Bratislava, 833 05 Bratislava, Slovakia

Abstract

During the recent pandemics of COVID-19, sequencing technics became a powerful tool for gaining information about the SARS-CoV-2 virus and using this knowledge to our advantage. Thanks to this advantage, scientists all over the world were able to search for emerging variations, watching the virus evolve in real time. Assembly of the virus genomes is a crucial part of obtaining this kind of useful information. In our study, we sequenced 79 samples from nasopharyngeal swabs of COVID-19 patients. Positivity to disease was evaluated using RT-qPCR. In this work, we described the relationship between RT-qPCR Ct value and genome construction success (plus genome lineage assignment). The specific value of this study is that this relationship was described for data from metatranscriptomic sequencing of human tissue, while there was no step of viral RNA isolation (usual for genome assembly procedure). RT-qPCR Ct value and assembly quality metric NG50 were correlated. We observed that the RT-qPCR Ct value threshold of the certain success of genome assembly (Ct value < 25) and certain failure (Ct value > 30) could be drawn, while results varied for values between (with completed, completed with lower quality, and failed assemblies).

Funder

OP Integrated Infrastructure for the project: Serious diseases of civilization and COVID-19 project

European Regional Development Fund

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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3. Global SARS-CoV-2 genomic surveillance: What we have learned (so far);Tosta;Infect. Genet. Evol.,2023

4. (2023, June 26). Available online: https://gisaid.org/.

5. (2023, June 26). Available online: https://artic.network/.

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