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Tracking SARS-CoV-2 variants by entire S-gene analysis using long-range RT-PCR and Sanger sequencing.

Authors :
Matsubara M
Imaizumi Y
Fujikawa T
Ishige T
Nishimura M
Miyabe A
Murata S
Kawasaki K
Taniguchi T
Igari H
Matsushita K
Source :
Clinica chimica acta; international journal of clinical chemistry [Clin Chim Acta] 2022 May 01; Vol. 530, pp. 94-98. Date of Electronic Publication: 2022 Mar 16.
Publication Year :
2022

Abstract

Introduction: Genomic surveillance of the SARS-CoV-2 virus is important to assess transmissibility, disease severity, and vaccine effectiveness. The SARS-CoV-2 genome consists of approximately 30 kb single-stranded RNA that is too large to analyze the whole genome by Sanger sequencing. Thus, in this study, we performed Sanger sequencing following long-range RT-PCR of the entire SARS-CoV-2 S-gene and analyzed the mutational dynamics.<br />Methods: The 4 kb region, including the S-gene, was amplified by two-step long-range RT-PCR. Then, the entire S-gene sequence was determined by Sanger sequencing. The amino acid mutations were identified as compared with the reference SARS-CoV-2 genome.<br />Results: The S:D614G mutation was found in all samples. The R.1 variants were detected after January 2021. Alpha variants started to emerge in April 2021. Delta variants replaced Alpha in July 2021. Then, Omicron variants were detected after December 2021. These mutational dynamics in samples collected in the Chiba University Hospital were similar to those in Japan.<br />Conclusion: The emergence of variants of concern (VOC) has been reported by the entire S-gene analysis. As the VOCs have unique mutational patterns of the S-gene region, analysis of the entire S-gene will be useful for molecular surveillance of the SARS-CoV-2 in clinical laboratories.<br /> (Copyright © 2022 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-3492
Volume :
530
Database :
MEDLINE
Journal :
Clinica chimica acta; international journal of clinical chemistry
Publication Type :
Academic Journal
Accession number :
35304093
Full Text :
https://doi.org/10.1016/j.cca.2022.03.014