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MINERVA: A facile strategy for SARS-CoV-2 whole genome deep sequencing of clinical samples
Chen Chen; Jizhou Li; Lin Di; Qiuyu Jing; Pengcheng Du; Chuan Song; Jiarui Li; Qiong Li; Yunlong Cao; Sunney Xie; Angela Ruohao Wu; Hui Zeng; Yanyi Huang; Jianbin Wang.
Afiliação
  • Chen Chen; Beijing Ditan Hospital
  • Jizhou Li; Tsinghua University
  • Lin Di; Peking University
  • Qiuyu Jing; The Hong Kong University of Science and Technology
  • Pengcheng Du; Beijing Ditan Hospital
  • Chuan Song; Beijing Ditan Hospital
  • Jiarui Li; Beijing Ditan Hospital
  • Qiong Li; Tsinghua University
  • Yunlong Cao; Peking University
  • Sunney Xie; Peking University
  • Angela Ruohao Wu; The Hong Kong University of Science and Technology
  • Hui Zeng; Beijing Ditan Hospital
  • Yanyi Huang; Peking University
  • Jianbin Wang; Tsinghua University
Preprint em En | PREPRINT-BIORXIV | ID: ppbiorxiv-060947
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ABSTRACT
The novel coronavirus disease 2019 (COVID-19) pandemic poses a serious public health risk. Analyzing the genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from clinical samples is crucial for the understanding of viral spread and viral evolution, as well as for vaccine development. Existing sample preparation methods for viral genome sequencing are demanding on user technique and time, and thus not ideal for time-sensitive clinical samples; these methods are also not optimized for high performance on viral genomes. We have developed MetagenomIc RNA EnRichment VirAl sequencing (MINERVA), a facile, practical, and robust approach for metagenomic and deep viral sequencing from clinical samples. This approach uses direct tagmentation of RNA/DNA hybrids using Tn5 transposase to greatly simplify the sequencing library construction process, while subsequent targeted enrichment can generate viral genomes with high sensitivity, coverage, and depth. We demonstrate the utility of MINERVA on pharyngeal, sputum and stool samples collected from COVID-19 patients, successfully obtaining both whole metatranscriptomes and complete high-depth high-coverage SARS-CoV-2 genomes from these clinical samples, with high yield and robustness. MINERVA is compatible with clinical nucleic extracts containing carrier RNA. With a shortened hands-on time from sample to virus-enriched sequencing-ready library, this rapid, versatile, and clinic-friendly approach will facilitate monitoring of viral genetic variations during outbreaks, both current and future.
Licença
cc_by_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Preprint