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从印度尼西亚南苏拉威西省望加锡分离的 SARS-CoV-2 的全基因组测序和突变分析。

Full-genome sequencing and mutation analysis of SARS-CoV-2 isolated from Makassar, South Sulawesi, Indonesia.

机构信息

Department of Clinical Microbiology, Hasanuddin University, Makassar, South Sulawesi, Indonesia.

Microbiology Laboratory, Hasanuddin University Hospital, Makassar, South Sulawesi, Indonesia.

出版信息

PeerJ. 2022 Jun 10;10:e13522. doi: 10.7717/peerj.13522. eCollection 2022.

DOI:10.7717/peerj.13522
PMID:35707124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9190667/
Abstract

INTRODUCTION

A global surge in SARS-CoV-2 cases is occurring due to the emergence of new disease variants, and requires continuous adjustment of public health measures. This study aims to continuously monitor and mitigate the impact of SARS-CoV-2 through genomic surveillance, to determine the emergence of variants and their impact on public health.

METHODS

Data were collected from 50 full-genome sequences of SARS-CoV-2 isolates from Makassar, South Sulawesi, Indonesia. Mutation and phylogenetic analysis was performed of SARS-CoV-2 from Makassar, South Sulawesi, Indonesia.

RESULTS

Phylogenetic analysis showed that two samples (4%) were of the B.1.319 lineage, while the others (96%) were of the B.1.466.2 lineage. Mutation analysis of the spike (S) protein region showed that the most common mutation was D614G (found in 100% of the sequenced isolates), followed by N439K (98%) and P681R (76%). Several mutations were also identified in other genomes with a high frequency, including P323L (nsp12), Q57H (ns3-orf3a), and T205I (nucleoprotein).

CONCLUSION

Our findings highlight the importance of continuous genomic surveillance to identify new viral mutations and variants with possible impacts on public health.

摘要

简介

由于新疾病变体的出现,全球 SARS-CoV-2 病例呈上升趋势,因此需要不断调整公共卫生措施。本研究旨在通过基因组监测持续监测和减轻 SARS-CoV-2 的影响,以确定变体的出现及其对公共卫生的影响。

方法

从印度尼西亚南苏拉威西省望加锡的 50 个 SARS-CoV-2 分离株的全基因组序列中收集数据。对来自印度尼西亚南苏拉威西省望加锡的 SARS-CoV-2 进行突变和系统发育分析。

结果

系统发育分析显示,有两个样本(4%)属于 B.1.319 谱系,而其他样本(96%)属于 B.1.466.2 谱系。刺突(S)蛋白区域的突变分析显示,最常见的突变是 D614G(在测序的所有分离株中均发现),其次是 N439K(98%)和 P681R(76%)。在其他基因组中还发现了几个高频突变,包括 P323L(nsp12)、Q57H(ns3-orf3a)和 T205I(核蛋白)。

结论

我们的研究结果强调了持续进行基因组监测以识别可能对公共卫生产生影响的新病毒突变和变体的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7001/9190667/90d13bdb0356/peerj-10-13522-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7001/9190667/627a541f58d7/peerj-10-13522-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7001/9190667/90d13bdb0356/peerj-10-13522-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7001/9190667/627a541f58d7/peerj-10-13522-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7001/9190667/90d13bdb0356/peerj-10-13522-g002.jpg

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