Single Amino Acid Change Mutation in the Hydrophobic Core of the N-terminal Domain of P22 TSP affects the Proteins Stability

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Abstract

The emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has significantly shifted the attention of researchers to critically investigate most viruses to understand specific characteristics that impart their virulence. For instance, the SARS-CoV-2 has undergone several mutations, with some variants classified as “variants of concern”, e.g., the Omicron and Delta variant of SARS-CoV-2 are known for their rapid transmission and antigenicity due to mutation in the Spike protein. P22 bacteriophage is a bacterial virus that has a tailspike protein (TSP) that performs similar functions as the Spike protein of SARS-COV-2. We previously carried out a site-directed mutagenesis of the P22 TSP to bear disruptive mutations in the hydrophobic core of the N-terminal Domain (NTD), then partially characterized the properties of the mutant TSPs. In this process, the valine patch (triple valine residues that formed a hydrophobic core) was replaced with charged amino acids (Asp or lysine) or hydrophobic amino acids (Leucine or isoleucine). Some of the mutant TSPs characterized showed significant differences in migration in both native and SDS-PAGE. Mutants with such disruptive mutation are known to show non-native properties, and as expected, most of these mutants obtained showed significantly different properties from the WT P22 TSP. In this work, we further characterized these mutant species by computational and in vitro assays to demonstrate the validity of our previous inference that the valine patch is a critical player in the stability of the N-terminal domain of the P22 TSP.

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  1. SciScore for 10.1101/2021.12.16.472976: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Molecular alignment and morphing were carried out using PyMol 2 (Schrödinger, INC, https://www.schrodinger.com/products/pymol) with the start conformation being the WT NTD TSP, and the mutant models serving as the end conformation.
    PyMol
    suggested: (PyMOL, RRID:SCR_000305)
    Densitometric values were acquired using the Quantity One software, and values were expressed as percentages and plotted into graphs.
    Quantity One
    suggested: (Quantity One 1-D Analysis Software, RRID:SCR_014280)

    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 found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


    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.
    • No funding statement was detected.
    • No protocol registration statement was detected.

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


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