Accession PRJCA002592
Title A rapid and practical strategy for SARS-CoV-2 whole genome deep sequencing from clinical samples
Relevance Medical
Data types Whole genome sequencing
Metagenome
Transcriptome or Gene expression
Raw sequence reads
Organisms Severe acute respiratory syndrome coronavirus 2
Mus musculus
Description The novel coronavirus disease 2019 (COVID-19) pandemic has posed 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, evolution, and the development of vaccines. Current sequencing methods, typically relied on second strand cDNA synthesis, have great difficulties to achieve high-performance viral genome sequencing, and also require intricate and extensive hand-on operation, presenting a great burden for clinical personnel in the urgent time. We develop a practical approach, MetagenomIc RNA ERrichment VirAl sequencing (MINERVA), to obtain viral sequences from clinical samples based on direct tagmentation of RNA/DNA hybrid using Tn5 transposase. MINERVA approach has greatly simplified the process of sequencing library construction for obtaining complete and near-complete SARS-CoV-2 genomes with high yield and robustness using pharyngeal, sputum and fecal samples collected from COVID-19 patients. The sequencing library preparation, completed within 5 hours, can tolerates clinical nucleic extracts with carrier RNA and is compatible for further viral enrichment to yield high-coverage and high-depth viral genomic data. This rapid and versatile approach will facilitate our monitoring of viral genetic variations in a population or in an individual host during the outbreak.
Sample scope Multispecies
Release date 2020-05-01
Grants
Agency program Grant ID Grant title
Peking University N/A
Submitter Lin    Di  (2979272879@qq.com)
Organization Peking University
Submission date 2020-04-24

Project Data

Resource name Description
BioSample (316)  show -
GSA (1) -
CRA002594 SHERRY condition test