The SARS-CoV-2 nucleocapsid protein preferentially binds long and structured RNAs

This article has been Reviewed by the following groups

Read the full article

Abstract

The SARS-CoV-2 nucleocapsid protein (NCAP) functions in viral RNA genome packaging, virion assembly, RNA synthesis and translation, and regulation of host immune response. RNA-binding is central to these processes. Little is known how NCAP selects its binding partners in the myriad of host and viral RNAs. To address this fundamental question, we employed electrophoresis mobility shift and competition assays to compare NCAP binding to RNAs that are of SARS-CoV-2 vs. non-SARS-CoV-2, long vs. short, and structured vs. unstructured. We found that although NCAP can bind all RNAs tested, it primarily binds structured RNAs, and their association suppresses strong interaction with single-stranded RNAs. NCAP prefers long RNAs, especially those containing multiple structures separated by single-stranded linkers that presumably offer conformational flexibility. Additionally, all three major regions of NCAP bind RNA, including the low complexity domain and dimerization domain that promote formation of NCAP oligomers, amyloid fibrils and liquid-liquid phase separation. Combining these observations, we propose that NCAP-NCAP interactions that mediate higher-order structures during packaging also drive recognition of the genomic RNA and call this mechanism recognition-by-packaging. This study provides a biochemical basis for understanding the complex NCAP-RNA interactions in the viral life cycle and a broad range of similar biological processes.

HIGHLIGHTS

  • NCAP primarily binds structured RNAs.

  • NCAP prefers multiple RNA structures separated by single-stranded linkers.

  • NCAP favors binding to long RNAs.

Article activity feed

  1. SciScore for 10.1101/2021.12.25.474155: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Recombinant DNA
    SentencesResources
    In vitro transcription and purification: The sequences of S1hp, S1.5hp, and S2hp were cloned from a gBlock containing the 5’ 1,000 nt of SARS-CoV-2 genome into the pUC19 vector using restriction sites EcoRI and KpnI.
    pUC19
    suggested: RRID:Addgene_50005)
    Briefly, the coding sequences for NCAP and its truncations with N-terminal 6xHis-SUMO tag were cloned into the pEC-28a vector.
    pEC-28a
    suggested: None
    Software and Algorithms
    SentencesResources
    The gel images were obtained using an Amersham™ Typhoon™ scanner (Cytiva) and were quantified using Quantity One (BIO-RAD, version 4.6.9) or ImageJ.
    Quantity One
    suggested: (Quantity One 1-D Analysis Software, RRID:SCR_014280)
    ImageJ
    suggested: (ImageJ, RRID:SCR_003070)
    The data were fitted and plotted using Prism (GraphPad, version 8).
    Prism
    suggested: (PRISM, RRID:SCR_005375)
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)
    Statistical analyses: Unpaired Student’s t-tests with two tails were performed in Excel (Microsoft).
    Excel
    suggested: None

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.