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通过扩增子测序监测污水中的 SARS-CoV-2 种群并使用新型程序 SAM Refiner

Monitoring SARS-CoV-2 Populations in Wastewater by Amplicon Sequencing and Using the Novel Program SAM Refiner.

机构信息

Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, MO 65201, USA.

Water Protection Program, Missouri Department of Natural Resources, Jefferson City, MO 65102, USA.

出版信息

Viruses. 2021 Aug 19;13(8):1647. doi: 10.3390/v13081647.

Abstract

Sequencing Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) from wastewater has become a useful tool in monitoring the spread of viral variants. Approaches to this task have been varied, relying on differing sequencing methods and computational analyses. We used a novel computation workflow based on amplicon sequencing of SARS-CoV-2 spike domains in order to track viral populations in wastewater. As part of this workflow, we developed a program, SAM Refiner, that has a variety of outputs, including novel variant reporting as well as functions designed to remove polymerase chain reaction (PCR) generated chimeric sequences. With these methods, we were able to track viral population dynamics over time. We report here on the emergence of two variants of concern, B.1.1.7 (Alpha) and P.1 (Gamma), and their displacement of the D614G B.1 variant in a Missouri sewershed.

摘要

对废水样本中的严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 进行测序已成为监测病毒变异株传播的一种有用工具。这项任务的方法多种多样,依赖于不同的测序方法和计算分析。我们使用了一种新的计算工作流程,该流程基于 SARS-CoV-2 刺突结构域的扩增子测序,以跟踪废水中的病毒种群。作为该工作流程的一部分,我们开发了一个名为 SAM Refiner 的程序,它具有多种输出,包括新型变异体报告以及旨在去除聚合酶链反应 (PCR) 产生的嵌合序列的功能。通过这些方法,我们能够随时间跟踪病毒种群动态。我们在此报告了两种关注变体 B.1.1.7 (Alpha) 和 P.1 (Gamma) 的出现,以及它们在密苏里下水道中取代 D614G B.1 变体的情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3768/8402658/99f4ee189394/viruses-13-01647-g001.jpg

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