Genomic Surveillance and Mutation Analysis of SARS-CoV-2 Variants among Patients in Saudi Arabia

Author:

Alsuwairi Feda A.12ORCID,Alsaleh Asma N.2ORCID,Obeid Dalia A.13ORCID,Al-Qahtani Ahmed A.14ORCID,Almaghrabi Reem S.3,Alahideb Basma M.1,AlAbdulkareem Maha A.1ORCID,Alsanea Madain S.1,Alharbi Layla A.1,Althawadi Sahar I.5ORCID,Altamimi Sara A.5,Alshukairi Abeer N.46,Alhamlan Fatimah S.145ORCID

Affiliation:

1. Department of Infection and Immunity, King Faisal Specialist Hospital and Research Center, Riyadh 11211, Saudi Arabia

2. Botany and Microbiology Department, College of Science, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi Arabia

3. Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Center, Riyadh 11564, Saudi Arabia

4. College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia

5. Department of Pathology and Laboratory Medicine, King Faisal Specialist Hospital and Research Center, Riyadh 11211, Saudi Arabia

6. Department of Medicine, King Faisal Specialist Hospital and Research Centre, Jeddah 23433, Saudi Arabia

Abstract

The genome of severe acute respiratory coronavirus-2 (SARS-CoV-2), the virus responsible for coronavirus disease 2019 (COVID-19), has undergone a rapid evolution, resulting in the emergence of multiple SARS-CoV-2 variants with amino acid changes. This study aimed to sequence the whole genome of SARS-CoV-2 and detect the variants present in specimens from Saudi Arabia. Furthermore, we sought to analyze and characterize the amino acid changes in the various proteins of the identified SARS-CoV-2 variants. A total of 1161 samples from patients diagnosed with COVID-19 in Saudi Arabia, between 1 April 2021 and 31 July 2023, were analyzed. Whole genome sequencing was employed for variant identification and mutation analysis. The statistical analysis was performed using the Statistical Analytical Software SAS, version 9.4, and GraphPad, version 9.0. This study identified twenty-three variants and subvariants of SARS-CoV-2 within the population, with the Omicron BA.1 (21K) variant (37.0%) and the Delta (21J) variant (12%) being the most frequently detected. Notably, the Omicron subvariants exhibited a higher mean mutation rate. Amino acid mutations were observed in twelve proteins. Among these, the spike (S), ORF1a, nucleocapsid (N), and ORF1b proteins showed a higher frequency of amino acid mutations compared to other the viral proteins. The S protein exhibited the highest incidence of amino acid mutations (47.6%). Conversely, the ORF3a, ORF8, ORF7a, ORF6, and ORF7b proteins appeared more conserved, demonstrating the lowest percentage and frequency of amino acid mutations. The investigation of structural protein regions revealed the N-terminal S1 subunit of the S protein to frequently harbor mutations, while the N-terminal domain of the envelope (E) protein displayed the lowest mutation frequency. This study provides insights into the variants and genetic diversity of SARS-CoV-2, underscoring the need for further research to comprehend its genome evolution and the occurrence of mutations. These findings are pertinent to the development of testing approaches, therapeutics, and vaccine strategies.

Funder

King Faisal Specialist Hospital and Research Centre

Publisher

MDPI AG

Reference103 articles.

1. A Familial Cluster of Pneumonia Associated with the 2019 Novel Coronavirus Indicating Person to Person Transmission: A Study of a Family Cluster;Ramanathan;Lancet,2020

2. The Evolution of SARS-CoV-2;Markov;Nat. Rev. Microbiol.,2023

3. Molecular Determinants of SARS-CoV-2 Variants;Banerjee;Trends Microbiol.,2021

4. Evidence for Host-Dependent RNA Editing in the Transcriptome of SARS-CoV-2;Martignano;Sci. Adv.,2020

5. Genetic Diversity of SARS-CoV-2 Infections in Ghana from 2020–2021;Ngoi;Nat. Commun.,2022

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3