4.4 Article

Surveillance of SARS-CoV-2 variants of concern by identification of single nucleotide polymorphisms in the spike protein by a multiplex real-time PCR

期刊

JOURNAL OF VIROLOGICAL METHODS
卷 300, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jviromet.2021.114374

关键词

SARS-CoV-2; Variants of concern; Single nucleotide polymorphisms; Mutations; Multiplex PCR; Sequencing

资金

  1. NIH, USA [5U01AI151788-02]
  2. WHO

向作者/读者索取更多资源

The study in Sri Lanka utilized a multiplex real-time PCR assay to detect different SARS-CoV-2 variants, with the delta variant being the most prevalent. This method appears to be a fast and cost-effective alternative to genomic sequencing for tracking variant spread in lower income countries.
Background: Although active surveillance SARS-CoV-2 variants of concern (VOCs) is required for proper outbreak control measures, many lower income countries find it challenging to detect VOCs by carrying genomic sequencing alone, due to limited resources. Methods: VOCs can also be identified by the unique mutations in the spike protein by real-time PCR that detect these single nucleotide polymorphisms (SNPs). We used a multiplex, real-time PCR assay for detection of these SNPs for identification of the prevalence of different SARS-CoV-2 VOCs in 16/26 districts in Sri Lanka. Results: Of the 664/934 that were subjected to the multiplex qRT-PCR, 638 (96.1 %) detected L452R and K417 in the channels and were identified as the delta variant. 25 samples (3.9 %) detected N501Y, with K417 were considered as the alpha variant. Of 10/16 districts in Sri Lanka, the delta variant was the only VOC detected. Conclusions: This multiplex real-time qRT-PCR which identifies certain SNPs specific to the VOCs appears to be a fast, cheaper and less technically demanding method to generate data regarding the spread of different SARSCoV-2 variants, and is a suitable method for lower income countries, to supplement the data generated by genomic sequencing.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据