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检测城市废水中的 SARS-CoV-2 谱系和突变负荷及其在希腊塞萨洛尼基大都市区的应用案例。

Detecting SARS-CoV-2 lineages and mutational load in municipal wastewater and a use-case in the metropolitan area of Thessaloniki, Greece.

机构信息

Institute of Applied Biosciences, Centre of Research and Technology Hellas, Thermi, 57001, Thessaloníki, Greece.

Department of Genetics, Development and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124, Thessaloníki, Greece.

出版信息

Sci Rep. 2022 Feb 17;12(1):2659. doi: 10.1038/s41598-022-06625-6.

DOI:10.1038/s41598-022-06625-6
PMID:35177697
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8854625/
Abstract

The COVID-19 pandemic represents an unprecedented global crisis necessitating novel approaches for, amongst others, early detection of emerging variants relating to the evolution and spread of the virus. Recently, the detection of SARS-CoV-2 RNA in wastewater has emerged as a useful tool to monitor the prevalence of the virus in the community. Here, we propose a novel methodology, called lineagespot, for the monitoring of mutations and the detection of SARS-CoV-2 lineages in wastewater samples using next-generation sequencing (NGS). Our proposed method was tested and evaluated using NGS data produced by the sequencing of 14 wastewater samples from the municipality of Thessaloniki, Greece, covering a 6-month period. The results showed the presence of SARS-CoV-2 variants in wastewater data. lineagespot was able to record the evolution and rapid domination of the Alpha variant (B.1.1.7) in the community, and allowed the correlation between the mutations evident through our approach and the mutations observed in patients from the same area and time periods. lineagespot is an open-source tool, implemented in R, and is freely available on GitHub and registered on bio.tools.

摘要

新冠疫情代表了一场前所未有的全球危机,需要采取新的方法来应对,包括及时发现与病毒进化和传播相关的新兴变异株。最近,在废水中检测到 SARS-CoV-2 RNA 已成为监测病毒在社区中流行程度的有用工具。在这里,我们提出了一种名为 lineagespot 的新方法,用于使用下一代测序(NGS)监测废水中 SARS-CoV-2 株的突变和检测。我们提出的方法使用来自希腊塞萨洛尼基市的 14 个废水样本的 NGS 数据进行了测试和评估,这些样本涵盖了 6 个月的时间。结果表明废水中存在 SARS-CoV-2 变异株。lineagespot 能够记录社区中 Alpha 变异株(B.1.1.7)的进化和快速主导地位,并允许通过我们的方法观察到的突变与同一地区和时间段的患者的突变相关联。lineagespot 是一个开源工具,用 R 语言实现,可在 GitHub 上免费获取,并在 bio.tools 上注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/0b738a43c943/41598_2022_6625_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/e1ad9c2f3a40/41598_2022_6625_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/8c656696e49a/41598_2022_6625_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/fe5edcabec7f/41598_2022_6625_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/a424ea1a0f3a/41598_2022_6625_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/0b738a43c943/41598_2022_6625_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/e1ad9c2f3a40/41598_2022_6625_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/8c656696e49a/41598_2022_6625_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/fe5edcabec7f/41598_2022_6625_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/a424ea1a0f3a/41598_2022_6625_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ee/8854625/0b738a43c943/41598_2022_6625_Fig5_HTML.jpg

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