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利用下一代测序技术在芬兰的污水样本中检测 SARS-COV-2 变种及其比例。

Detection of SARS-COV-2 variants and their proportions in wastewater samples using next-generation sequencing in Finland.

机构信息

Expert Microbiology Unit, Department of Health Security, Finnish Institute for Health and Welfare, Kuopio, Finland.

Institute of Biomedicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.

出版信息

Sci Rep. 2024 Apr 2;14(1):7751. doi: 10.1038/s41598-024-58113-8.

Abstract

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants may have different characteristics, e.g., in transmission, mortality, and the effectiveness of vaccines, indicating the importance of variant detection at the population level. Wastewater-based surveillance of SARS-CoV-2 RNA fragments has been shown to be an effective way to monitor the COVID-19 pandemic at the population level. Wastewater is a complex sample matrix affected by environmental factors and PCR inhibitors, causing insufficient coverage in sequencing, for example. Subsequently, results where part of the genome does not have sufficient coverage are not uncommon. To identify variants and their proportions in wastewater over time, we utilized next-generation sequencing with the ARTIC Network's primer set and bioinformatics pipeline to evaluate the presence of variants in partial genome data. Based on the wastewater data from November 2021 to February 2022, the Delta variant was dominant until mid-December in Helsinki, Finland's capital, and thereafter in late December 2022 Omicron became the most common variant. At the same time, the Omicron variant of SARS-CoV-2 outcompeted the previous Delta variant in Finland in new COVID-19 cases. The SARS-CoV-2 variant findings from wastewater are in agreement with the variant information obtained from the patient samples when visually comparing trends in the sewerage network area. This indicates that the sequencing of wastewater is an effective way to monitor temporal and spatial trends of SARS-CoV-2 variants at the population level.

摘要

严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)变体可能具有不同的特征,例如在传播、死亡率和疫苗效果方面,这表明在人群水平上检测变体的重要性。基于 SARS-CoV-2 RNA 片段的污水监测已被证明是监测人群水平 COVID-19 大流行的有效方法。污水是一种复杂的样本基质,受环境因素和 PCR 抑制剂的影响,导致测序覆盖率不足,例如,部分基因组没有足够覆盖的情况并不少见。为了确定随时间推移在污水中出现的变体及其比例,我们利用下一代测序技术和 ARTIC 网络的引物组和生物信息学管道,评估部分基因组数据中变体的存在情况。根据 2021 年 11 月至 2022 年 2 月的污水数据,在芬兰首都赫尔辛基,Delta 变体一直占主导地位,直到 12 月中旬,此后,2022 年 12 月底,Omicron 成为最常见的变体。与此同时,Omicron 变体的 SARS-CoV-2 在芬兰的新 COVID-19 病例中超过了之前的 Delta 变体。污水中 SARS-CoV-2 变体的发现与从患者样本中获得的变体信息一致,当从视觉上比较污水管网区域的趋势时。这表明,对污水进行测序是监测人群水平 SARS-CoV-2 变体的时间和空间趋势的有效方法。

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