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Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory

Sun Hee Rosenthal, Анна Герасимова, Rolando Ruiz-Vega, Kayla Livingston, Ron M. Kagan, Yan Liu, Ben Anderson, Renius Owen, Laurence Bernstein, Alla Smolgovsky, Dong Xu, Rebecca Chen, Andrew Grupe, Pranoot Tanpaiboon, Felicitas Lacbawan

发表年份
2022
引用次数
26
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摘要

Monitoring new mutations in SARS-CoV-2 provides crucial information for identifying diagnostic and therapeutic targets and important insights to achieve a more effective COVID-19 control strategy. Next generation sequencing (NGS) technologies have been widely used for whole genome sequencing (WGS) of SARS-CoV-2. While various NGS methods have been reported, one chief limitation has been the complexity of the workflow, limiting the scalability. Here, we overcome this limitation by designing a laboratory workflow optimized for high-throughput studies. The workflow utilizes modified ARTIC network v3 primers for SARS-CoV-2 whole genome amplification. NGS libraries were prepared by a 2-step PCR method, similar to a previously reported tailed PCR method, with further optimizations to improve amplicon balance, to minimize amplicon dropout for viral genomes harboring primer-binding site mutation(s), and to integrate robotic liquid handlers. Validation studies demonstrated that the optimized workflow can process up to 2688 samples in a single sequencing run without compromising sensitivity and accuracy and with fewer amplicon dropout events compared to the standard ARTIC protocol. We additionally report results for over 65,000 SARS-CoV-2 whole genome sequences from clinical specimens collected in the United States between January and September of 2021, as part of an ongoing national genomics surveillance effort.

关键词

AmpliconWorkflowAmplicon sequencingComputational biologyGenomeDNA sequencingComputer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)GenomicsWhole genome sequencing

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