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对 SARS-CoV-2 的全基因组测序:对 Ion Torrent AmpliSeq 面板的评估及与 Illumina MiSeq ARTIC 协议的比较。

Whole-Genome Sequencing of SARS-CoV-2: Assessment of the Ion Torrent AmpliSeq Panel and Comparison with the Illumina MiSeq ARTIC Protocol.

机构信息

Wadsworth Centergrid.465543.5, New York State Department of Health, Albany, New York, USA.

Department of Biomedical Sciences, University at Albany, SUNY, Albany, New York, USA.

出版信息

J Clin Microbiol. 2021 Nov 18;59(12):e0064921. doi: 10.1128/JCM.00649-21. Epub 2021 Sep 22.

Abstract

Fast and effective methods are needed for sequencing of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome to track genetic mutations and to identify new and emerging variants during the ongoing pandemic. The objectives were to assess the performance of the SARS-CoV-2 AmpliSeq research panel and S5 plug-in analysis tools for whole-genome sequencing analysis of SARS-CoV-2 and to compare the results with those obtained with the MiSeq-based ARTIC analysis pipeline, using metrics such as depth, coverage, and concordance of single-nucleotide variant (SNV) calls. A total of 191 clinical specimens and a single cultured isolate were extracted and sequenced with AmpliSeq technology and analysis tools. Of the 191 clinical specimens, 83 (with threshold cycle [] values of 15.58 to 32.54) were also sequenced using an Illumina MiSeq-based method with the ARTIC analysis pipeline, for direct comparison. A total of 176 of the 191 clinical specimens sequenced on the S5XL system and prepared using the SARS-CoV-2 research panel had nearly complete coverage (>98%) of the viral genome, with an average depth of 5,031×. Similar coverage levels (>98%) were observed for 81/83 primary specimens that were sequenced with both methods tested. The sample with the lowest viral load ( value of 32.54) achieved 89% coverage using the MiSeq method and failed to sequence with the AmpliSeq method. Consensus sequences produced by each method were identical for 81/82 samples in areas of equal coverage, with a single difference present in one sample. The AmpliSeq approach is as effective as the Illumina-based method using ARTIC v3 amplification for sequencing SARS-CoV-2 directly from patient specimens across a range of viral loads ( values of 15.56 to 32.54 [median, 22.18]). The AmpliSeq workflow is very easily automated with the Ion Chef and S5 instruments and requires less training and experience with next-generation sequencing sample preparation than the Illumina workflow.

摘要

需要快速有效的方法来对严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 基因组进行测序,以追踪遗传突变,并在当前大流行期间识别新出现的变体。目的是评估 SARS-CoV-2 AmpliSeq 研究面板和 S5 插件分析工具在 SARS-CoV-2 全基因组测序分析中的性能,并使用深度、覆盖度和单核苷酸变异 (SNV) 调用的一致性等指标,将结果与使用基于 MiSeq 的 ARTIC 分析管道获得的结果进行比较。总共提取和测序了 191 份临床标本和一份单一培养分离物,使用 AmpliSeq 技术和分析工具。在 191 份临床标本中,有 83 份(阈值循环 [] 值为 15.58 至 32.54)也使用基于 Illumina MiSeq 的方法和 ARTIC 分析管道进行测序,用于直接比较。在 S5XL 系统上测序的 191 份临床标本中的 176 份,使用 SARS-CoV-2 研究面板进行制备,具有几乎完整的病毒基因组覆盖度(>98%),平均深度为 5031×。用两种方法测试的 81/83 份原始标本也观察到类似的覆盖水平(>98%)。用 MiSeq 方法获得最低病毒载量(值为 32.54)的样本实现了 89%的覆盖率,而 AmpliSeq 方法未能测序。在覆盖度相等的区域,每种方法产生的一致序列在 81/82 个样本中都是相同的,在一个样本中存在一个差异。在各种病毒载量(值为 15.56 至 32.54 [中位数,22.18])下,直接从患者标本中测序 SARS-CoV-2 时,AmpliSeq 方法与基于 Illumina 的方法使用 ARTIC v3 扩增一样有效。AmpliSeq 工作流程与 Ion Chef 和 S5 仪器非常容易自动化,并且与基于 Illumina 的工作流程相比,需要更少的下一代测序样本制备培训和经验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fda5/8601232/9b2e0871bee1/jcm.00649-21-f001.jpg

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