How did SARS-CoV-19 spread in India from Italy, Iran and China? Genetic surveillance of early cases and virus demography

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Abstract

SARS-CoV-19 after emerging from Wuhan, drastically devastated all sectors of human life by crushing down the global economy and increased psychological burden on public, government, and healthcare professionals. We manifested by analyzing 35 early coronavirus cases of India, that virus introduction in India, occurred from Italy, Iran and China and population demography apparently revealed a rapid population expansion after the outbreak with a present steady growth. We depicted nucleotide substitutions in structural genes, drove for the adaptive selection and plead for sequencing more genomes to facilitate identification of new emerged mutants, genetic evolution and disease transmission caused by coronavirus.

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  1. SciScore for 10.1101/2020.04.26.062406: (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

    Experimental Models: Organisms/Strains
    SentencesResources
    All sequences were aligned using MUSCLE v3.8.31, with the Wuhan-Hu-1 [13].
    Wuhan-Hu-1
    suggested: None
    Software and Algorithms
    SentencesResources
    All sequences were aligned using MUSCLE v3.8.31, with the Wuhan-Hu-1 [13].
    MUSCLE
    suggested: (MUSCLE, RRID:SCR_011812)
    Bayesian based phylogenetic analysis was performed using BEAST v1.10.4 [15] with strict clock following HKY substitution model and 107 MCMC simulations.
    BEAST
    suggested: (BEAST, RRID:SCR_010228)
    Demography assessment: Parameters like mismatch distribution test, Harpending’s raggedness index (Rg) and Sum of Squared Deviations (SSD) were calculated to test for demographic expansion using Arlequin v3.5 [17].
    Arlequin
    suggested: (ARLEQUIN, RRID:SCR_009051)
    Neutrality tests, Tajima’s D [18] and Fu’s Fs [19], to evaluate demographic effects were carried out using DnaSP v6.12 [14].
    DnaSP
    suggested: (DnaSP, RRID:SCR_003067)
    We classified nucleotide substitutions (dN/dS ratio) in all sequences, with bat RaTG13, Pangolin- SARSr-CoV, SARS and MERS using synonymous nonsynonymous analysis programme, SNAP v.
    SNAP
    suggested: (SNAP, RRID:SCR_007936)

    Results from OddPub: Thank you for sharing your data.


    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.
    • No funding statement was detected.
    • 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.

  2. SciScore for 10.1101/2020.04.26.062406: (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

    Experimental Models: Organisms/Strains
    SentencesResources
    All sequences were aligned using MUSCLE v3.8.31, with the Wuhan-Hu-1 [13].
    Wuhan-Hu-1
    suggested: None
    Software and Algorithms
    SentencesResources
    All sequences were aligned using MUSCLE v3.8.31, with the Wuhan-Hu-1 [13].
    MUSCLE
    suggested: (MUSCLE, SCR_011812)
    Demography assessmentParameters like mismatch distribution test, Harpending’s raggedness index (Rg) and Sum of Squared Deviations (SSD) were calculated to test for demographic expansion using Arlequin v3.5 [17].
    Arlequin
    suggested: (ARLEQUIN, SCR_009051)
    Neutrality tests, Tajima’s D [18] and Fu’s Fs [19], to evaluate demographic effects were carried out using DnaSP v6.12 [14].
    DnaSP
    suggested: (DnaSP, SCR_003067)
    To date changes in the effective population size over time, we used Coalescent Bayesian Skyline Plot (BSP) analysis as implemented in BEAST v.
    BEAST
    suggested: (BEAST, SCR_010228)
    We classified nucleotide substitutions (dN/dS ratio) in all sequences, with bat RaTG13, Pangolin- SARSr-CoV, SARS and MERS using synonymous nonsynonymous analysis programme, SNAP v.
    SNAP
    suggested: (SNAP, SCR_007936)

    Results from OddPub: Thank you for sharing your data.


    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 is not a substitute for expert review. SciScore checks for the presence and correctness of RRIDs (research resource identifiers) in the manuscript, and detects sentences that appear to be missing RRIDs. SciScore also checks to make sure that rigor criteria are addressed by authors. It does this by detecting sentences that discuss criteria such as blinding or power analysis. SciScore does not guarantee that the rigor criteria that it detects are appropriate for the particular study. Instead it assists authors, editors, and reviewers by drawing attention to sections of the manuscript that contain or should contain various rigor criteria and key resources. For details on the results shown here, please follow this link.