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Fast Phylogeny of SARS-CoV-2 by Compression.

Rudi L Cilibrasi1, Paul M B Vitányi2

  • 1Centre for Nathematics & Computer Science CWI, Science Park 123, 1098 XG Amsterdam, The Netherlands.

Entropy (Basel, Switzerland)
|April 23, 2022
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Summary
This summary is machine-generated.

A novel compression method efficiently analyzes viral genome similarity, identifying SARS-CoV-2

Keywords:
COVID-19 viruscompressionphylogeny

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • The SARS-CoV-2 virus, responsible for COVID-19, necessitates rapid and accurate phylogenetic analysis.
  • Traditional whole-genome comparison methods can be computationally intensive.

Purpose of the Study:

  • To evaluate the utility of an alignment-free compression method for whole-genome phylogenetic and taxonomic analysis of SARS-CoV-2.
  • To compare SARS-CoV-2 with a large database of viral genomes.

Main Methods:

  • Utilized a normalized compression distance (NCD) approach based on algorithmic information theory to assess genomic similarity.
  • Applied this method to the SARS-CoV-2 whole genome and a database of over 6500 viruses.
  • Compared NCD results with those from mitochondrial DNA of familiar species and alignment-based methods.

Main Results:

  • The compression method identified SARS-CoV-2 as most closely related to the RaTG13 virus and bat coronaviruses (bat-SL-CoVZXC21, bat-SL-CoVZC45).
  • Phylogenetic and taxonomic results closely mirrored those obtained from alignment-based and machine-learning methods.
  • The method provided insights into potential pangolin involvement in SARS-CoV-2 origins.

Conclusions:

  • The alignment-free compression method is a simple, fast, and effective tool for whole-genome phylogenetic analysis.
  • This approach offers a viable alternative to complex alignment-based methods for viral taxonomy and similarity assessment.
  • The findings support the compression method's potential for rapid exploration of viral evolution and relationships.