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伊朗在大流行的六波疫情中流行的 SARS-CoV-2 株的基因组监测。

Genomic surveillance of SARS-CoV-2 strains circulating in Iran during six waves of the pandemic.

机构信息

Virology Department, School of Public Health Tehran University of Medical Sciences Tehran Iran.

Research Center for Antibiotic Stewardship & Antimicrobial Resistance Tehran University of Medical Sciences Tehran Iran.

出版信息

Influenza Other Respir Viruses. 2023 Apr 16;17(4):e13135. doi: 10.1111/irv.13135. eCollection 2023 Apr.

Abstract

BACKGROUND

SARS-CoV-2 genomic surveillance is necessary for the detection, monitoring, and evaluation of virus variants, which can have increased transmissibility, disease severity, or other adverse effects. We sequenced 330 SARS-CoV-2 genomes during the sixth wave of the COVID pandemic in Iran and compared them with five previous waves, for identifying SARS-CoV-2 variants, the genomic behavior of the virus, and understanding its characteristics.

METHODS

After viral RNA extraction from clinical samples collected during the COVID-19 pandemic, next generation sequencing was performed using the Nextseq and Nanopore platforms. The sequencing data were analyzed and compared with reference sequences.

RESULTS

In Iran during the first wave, V and L clades were detected. The second wave was recognized by G, GH, and GR clades. Circulating clades during the third wave were GH and GR. In the fourth wave, GRY (alpha variant), GK (delta variant), and one GH clade (beta variant) were detected. All viruses in the fifth wave were in GK clade (delta variant). In the sixth wave, Omicron variant (GRA clade) was circulating.

CONCLUSIONS

Genome sequencing, a key strategy in genomic surveillance systems, helps to detect and monitor the prevalence of SARS-CoV-2 variants, monitor the viral evolution of SARS-CoV-2, identify new variants for disease prevention, control, and treatment, and also provide information for and conduct public health measures in this area. With this system, Iran could be ready for surveillance of other respiratory virus diseases besides influenza and SARS-CoV-2.

摘要

背景

SARS-CoV-2 基因组监测对于检测、监测和评估病毒变体是必要的,这些变体可能具有更高的传染性、疾病严重程度或其他不良影响。我们在伊朗 COVID 大流行的第六波期间对 330 个 SARS-CoV-2 基因组进行了测序,并将其与之前的五波进行了比较,以识别 SARS-CoV-2 变体、病毒的基因组行为以及了解其特征。

方法

从 COVID-19 大流行期间收集的临床样本中提取病毒 RNA 后,使用 Nextseq 和 Nanopore 平台进行下一代测序。对测序数据进行分析,并与参考序列进行比较。

结果

在伊朗的第一波中,检测到 V 和 L 分支。第二波由 G、GH 和 GR 分支识别。第三波的循环分支是 GH 和 GR。在第四波中,检测到 GRY(alpha 变体)、GK(delta 变体)和一个 GH 分支(beta 变体)。第五波中的所有病毒都属于 GK 分支(delta 变体)。在第六波中,流行的是奥密克戎变体(GRA 分支)。

结论

基因组测序是基因组监测系统中的一项关键策略,有助于检测和监测 SARS-CoV-2 变体的流行情况,监测 SARS-CoV-2 的病毒进化,识别新的变体以进行疾病预防、控制和治疗,还为该领域的公共卫生措施提供信息并开展这些措施。通过该系统,伊朗除了流感和 SARS-CoV-2 之外,还可以准备好对其他呼吸道病毒疾病进行监测。

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