High‐coverage SARS‐CoV‐2 genome sequences acquired by target capture sequencing

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

In this study, we designed a set of SARS‐CoV‐2 enrichment probes to increase the capacity for sequence‐based virus detection and obtain the comprehensive genome sequence at the same time. This universal SARS‐CoV‐2 enrichment probe set contains 502 120 nt single‐stranded DNA biotin‐labeled probes designed based on all available SARS‐CoV‐2 viral sequences and it can be used to enrich for SARS‐CoV‐2 sequences without prior knowledge of type or subtype. Following the CDC health and safety guidelines, marked enrichment was demonstrated in a virus strain sample from cell culture, three nasopharyngeal swab samples (cycle threshold [ C t ] values: 32.36, 36.72, and 38.44) from patients diagnosed with COVID‐19 (positive control) and four throat swab samples from patients without COVID‐19 (negative controls), respectively. Moreover, based on these high‐quality sequences, we discuss the heterozygosity and viral expression during coronavirus replication and its phylogenetic relationship with other selected high‐quality samples from the Genome Variation Map. Therefore, this universal SARS‐CoV‐2 enrichment probe system can capture and enrich SARS‐CoV‐2 viral sequences selectively and effectively in different samples, especially clinical swab samples with a relatively low concentration of viral particles.

Article activity feed

  1. SciScore for 10.1101/2020.04.11.20061507: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.


    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.