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Intra-Host Mutation Rate of Acute SARS-CoV-2 Infection During the Initial Pandemic Wave

Intra-Host Mutation Rate of Acute SARS-CoV-2 Infection During the Initial Pandemic Wave

来源:bioRxiv_logobioRxiv
英文摘要

Abstract BackgroundOur understanding of SARS-CoV-2 evolution and mutation rate is limited. The rate of SARS-CoV-2 evolution is minimized through a proofreading function encoded by NSP-14 and may be affected by patient comorbidity. Current understanding of SARS-CoV-2 mutational rate is through population based analysis while intra-host mutation rate remains poorly studied. MethodsViral genome analysis was performed between paired samples and mutations quantified at allele frequencies (AF) ≥0.25, ≥0.5 and ≥0.75. Mutation rate was determined employing F81 and JC69 evolution models and compared between isolates with (ΔNSP-14) and without (wtNSP-14) non-synonymous mutations in NSP-14 and by patient comorbidity. ResultsForty paired samples with median interval of 13 days [IQR 8.5-20] were analyzed. The estimated mutation rate by F81 modeling was 93.6 (95%CI:90.8-96.4], 40.7 (95%CI:38.9-42.6) and 34.7 (95%CI:33.0-36.4) substitutions/genome/year at AF ≥0.25, ≥0.5, ≥0.75 respectively. Mutation rate in ΔNSP-14 were significantly elevated at AF>0.25 vs wtNSP-14. Patients with immune comorbidities had higher mutation rate at all allele frequencies. DiscussionIntra-host SARS-CoV-2 mutation rates are substantially higher than those reported through population analysis. Virus strains with altered NSP-14 have accelerated mutation rate at low AF. Immunosuppressed patients have elevated mutation rate at all AF. Understanding intra-host virus evolution will aid in current and future pandemic modeling.

Leng Xiaoyi、El-Haddad Kim、Cheng Yu-Wei、Jin Tu Zheng、Ko Jennifer S.、Esper Frank P.、Rhoads Daniel、Li Jing、Adhikari Thamali M、Rubin Brian P.、Zhang Xiangyi、Worley Sarah

Department of Computer and Data Sciences, Case Western Reserve UniversityCenter for Pediatric Infectious Disease, Cleveland Clinic Children?ˉsRobert J. Tomsich Pathology and Laboratory Medicine InstituteRobert J. Tomsich Pathology and Laboratory Medicine InstituteRobert J. Tomsich Pathology and Laboratory Medicine InstituteCenter for Pediatric Infectious Disease, Cleveland Clinic Children?ˉsRobert J. Tomsich Pathology and Laboratory Medicine InstituteDepartment of Computer and Data Sciences, Case Western Reserve UniversityDepartment of Computer and Data Sciences, Case Western Reserve UniversityRobert J. Tomsich Pathology and Laboratory Medicine InstituteDepartment of Computer and Data Sciences, Case Western Reserve UniversityDepartment of Quantitative Health Sciences, Cleveland Clinic

10.1101/2023.03.24.534062

医学研究方法基础医学微生物学

SARS-CoV-2COVID-19evolutionmutation rateallele frequencyNSP-14SNV

Leng Xiaoyi,El-Haddad Kim,Cheng Yu-Wei,Jin Tu Zheng,Ko Jennifer S.,Esper Frank P.,Rhoads Daniel,Li Jing,Adhikari Thamali M,Rubin Brian P.,Zhang Xiangyi,Worley Sarah.Intra-Host Mutation Rate of Acute SARS-CoV-2 Infection During the Initial Pandemic Wave[EB/OL].(2025-03-28)[2025-04-26].https://www.biorxiv.org/content/10.1101/2023.03.24.534062.点此复制

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