Department of Biomedical Science, College of Medicine, Chosun University, Gwangju, Republic of Korea.
Premedical Science, College of Medicine, Chosun University, Gwangju, Republic of Korea.
Sci Rep. 2022 Jul 5;12(1):11354. doi: 10.1038/s41598-022-14989-y.
To investigate the specific genomic features and mutation pattern, whole and near-complete SARS-CoV-2 genome sequences were analyzed. Clinical samples were collected from 18 COVID-19-positive patients and subjected to nucleic acid purification. Cell culture was performed to extract various SARS-CoV-2 isolates. Whole-genome analysis was performed using next-generation sequencing, and phylogenetic analyses were conducted to determine genetic diversity of the various SARS-CoV-2 isolates. The next-generation sequencing data identified 8 protein-coding regions with 17 mutated proteins. We identified 51 missense point mutations and deletions in 5' and 3' untranslated regions. The phylogenetic analysis revealed that V and GH are the dominant clades of SARS-CoV-2 circulating in the Gwangju region of South Korea. Moreover, statistical analysis confirmed a significant difference between viral load (P < 0.001) and number of mutations (P < 0.0001) in 2 mutually exclusive SARS-CoV-2 clades which indicates frequent genomic alterations in SARS-CoV-2 in patients with high viral load. Our results provide an in-depth analysis of SARS-COV-2 whole genome which we believe, can shed light in the understanding of SARS-COV-2 pathogenesis and mutation pattern which can aid in the development of prevention methods as well as future research into the pathogenesis of SARS-CoV-2 and therapeutic development.
为了探究特定的基因组特征和突变模式,我们对完整和近乎完整的 SARS-CoV-2 基因组序列进行了分析。我们从 18 位 COVID-19 阳性患者中采集了临床样本,并进行了核酸纯化。我们通过细胞培养提取了各种 SARS-CoV-2 分离株。采用下一代测序技术进行全基因组分析,并进行系统发育分析以确定各种 SARS-CoV-2 分离株的遗传多样性。下一代测序数据确定了 8 个编码蛋白的区域,其中有 17 个突变蛋白。我们在 5'和 3'非翻译区发现了 51 个错义点突变和缺失。系统发育分析显示,V 和 GH 是韩国光州地区流行的 SARS-CoV-2 的主要分支。此外,统计分析证实了 2 个相互排斥的 SARS-CoV-2 分支之间病毒载量(P<0.001)和突变数量(P<0.0001)存在显著差异,这表明高病毒载量的 SARS-CoV-2 中经常发生基因组改变。我们的结果对 SARS-COV-2 全基因组进行了深入分析,我们相信这将有助于深入了解 SARS-COV-2 的发病机制和突变模式,从而有助于开发预防方法以及未来对 SARS-CoV-2 的发病机制和治疗方法的研究。