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Related Experiment Videos

SARS-CoV genome polymorphism: a bioinformatics study.

Gordana M Pavlović-Lazetić1, Nenad S Mitić, Andrija M Tomović

  • 1Faculty of Mathematics, University of Belgrade, 11001 Belgrade, Serbia and Montenegro. gordana@matf.bg.ac.yu

Genomics, Proteomics & Bioinformatics
|September 8, 2005
PubMed
Summary

This study analyzed SARS-CoV genome variations in human and civet isolates, revealing distinct groups based on single nucleotide variations and genetic markers. These findings offer new insights into SARS-CoV epidemiology and transmission dynamics.

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Area of Science:

  • Virology
  • Genomics
  • Epidemiology

Background:

  • Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) poses a significant public health threat.
  • Understanding SARS-CoV genome diversity is crucial for tracking its spread and evolution.

Purpose of the Study:

  • To investigate genome polymorphism and classify SARS-CoV isolates.
  • To analyze variations in single nucleotide variations (SNVs), insertions, deletions, and their impact on protein sequences.
  • To examine the evolutionary selection pressures on the SARS-CoV spike (S) protein.

Main Methods:

  • Analysis of 103 SARS-CoV isolates (101 human, 2 civet).
  • Determination of SNVs, insertions, deletions, and substitution patterns.
  • Codon position analysis of synonymous and non-synonymous substitutions.

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  • Prediction and analysis of spike (S) protein sequences.
  • Calculation of Ka/Ks ratio to assess selection pressure.
  • Classification of isolates based on genome polymorphism and nine-locus genotypes.

    • Main Results:

    • Two main groups of isolates identified based on SNV counts, with subgroups based on insertions/deletions.
    • Three basic nine-locus genotypes (TTTT/TTCGG, CGCC/TTCAT, TGCC/TTCGT) and four subgenotypes were identified.
    • The spike (S) gene showed evidence of Darwinian selection during animal-to-human transmission (Ka/Ks ratio).
    • Amino acid property changes were analyzed in coding regions and the S protein.

    Conclusions:

    • Genome polymorphism and identified genotypes provide a basis for classifying SARS-CoV isolates.
    • The classification aligns with potential epidemiological spread patterns in space and time.
    • Findings contribute to understanding SARS-CoV evolution and transmission dynamics.