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Title: Longitudinal analysis of genomic mutations in SARS-CoV-2 isolates from persistent COVID-19 patient
Authors: Futatsusako, Hiroki
Hashimoto, Rina
Yamamoto, Masaki  kyouindb  KAKEN_id
Ito, Jumpei
Matsumura, Yasufumi
Yoshifuji, Hajime
Shirakawa, Kotaro  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-7469-1276 (unconfirmed)
Takaori-Kondo, Akifumi
Sato, Kei
Nagao, Miki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-8886-6145 (unconfirmed)
Takayama, Kazuo  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-1132-2457 (unconfirmed)
Author's alias: 二ツ迫, 拓樹
橋本, 里菜
山本, 正樹
松村, 康史
吉藤, 元
白川, 康太郎
高折, 晃史
長尾, 美紀
高山, 和雄
Keywords: Genomics
Microbiology and Virology
Issue Date: 17-May-2024
Publisher: Elsevier BV
Journal title: iScience
Volume: 27
Issue: 5
Thesis number: 109597
Abstract: A primary reason for the ongoing spread of coronavirus disease 2019 (COVID-19) is the continuous acquisition of mutations by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the mechanism of acquiring mutations is not fully understood. In this study, we isolated SARS-CoV-2 from an immunocompromized patient persistently infected with Omicron strain BF.5 for approximately 4 months to analyze its genome and evaluate drug resistance. Although the patient was administered the antiviral drug remdesivir (RDV), there were no acquired mutations in RDV binding site, and all isolates exhibited susceptibility to RDV. Notably, upon analyzing the S protein sequence of the day 119 isolate, we identified mutations acquired by mutant strains emerging from the BF.5 variant, suggesting that viral genome analysis in persistent COVID-19 patients may be useful in predicting viral evolution. These results suggest mutations in SARS-CoV-2 are acquired during long-term viral replication rather than in response to antiviral drugs.
Description: SARS-CoV-2に持続感染した患者さんにおけるウイルスゲノムの変異獲得過程の解析. 京都大学プレスリリース. 2024-04-03.
Rights: © 2024 The Authors. Published by Elsevier Inc.
This is an open access article under the CC BY-NC license.
URI: http://hdl.handle.net/2433/290327
DOI(Published Version): 10.1016/j.isci.2024.109597
PubMed ID: 38638575
Related Link: https://www.cira.kyoto-u.ac.jp/j/pressrelease/news/240403-130000.html
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