Fast Whole-Genome Phylogeny by Compression: the COVID-19 case

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This study utilized a compression-based method to analyze whole-genome phylogenies of SARS-CoV-2, finding it closest to the RaTG13 virus and similar bat coronaviruses.

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The paper uses an alignment-free whole-genome similarity approach based on Normalized Compression Distance (NCD) to analyze the SARS-CoV-2 virus’s genome and infer its phylogeny and taxonomy. Using a reference database of over 6,500 viruses, it reports that SARS-CoV-2 is closest to RaTG13 and rather close to bat SARS-like coronaviruses bat-SL-CoVZXC21 and bat-SL-COVZC45, while many other viruses show larger NCD values; it also compares these distances to mtDNA NCDs from familiar species. It treats whether pangolins are involved in SARS-CoV-2 and finds that the compression method yields phylogeny/taxonomy broadly matching earlier alignment-based and machine-learning efforts, with the caveat that the work is a preprint and not peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

We analyze the whole-genome phylogeny and taxonomy of the SARS-CoV-2 virus, causing the COVID-19 disease, using compres- sion in the form of the alignment-free NCD (Normalized Compression Distance) method to assess similarity. We compare the SARS-CoV-2 virus with a database of over 6,500 viruses. The results comprise that the SARS- CoV-2 virus is closest in that database to the RaTG13 virus and rather close to the bat SARS-like corona viruses bat-SL-CoVZXC21 and bat-SL- CoVZC45. Over 6,500 viruses are identified (given by their registration code) with larger NCD’s. The NCD’s are compared with the NCD’s between the mtDNA’s of familiar species. We treat the question whether Pangolins are involved in the SARS-CoV-2 virus. The NCD method or shortly the compression method is simpler and possibly faster than any other whole-genome method, which makes it the ideal tool to explore phylogeny. Here we use it for the complex case of determining this similarity between the COVID-19 virus SARS-CoV-2 and many other viruses. The resulting phylogeny and taxonomy closely matches earlier efforts by alignment-based methods and a machine-learning method, providing the most compelling evidence to date for the compression method showing that one can achieve equivalent results both simply and fast.
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Fast Whole-Genome Phylogeny by Compression: the COVID-19 case | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Fast Whole-Genome Phylogeny by Compression: the COVID-19 case Rudi L. Cilibrasi, Paul M.B. Vitanyi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-851224/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract We analyze the whole-genome phylogeny and taxonomy of the SARS-CoV-2 virus, causing the COVID-19 disease, using compres- sion in the form of the alignment-free NCD (Normalized Compression Distance) method to assess similarity. We compare the SARS-CoV-2 virus with a database of over 6,500 viruses. The results comprise that the SARS- CoV-2 virus is closest in that database to the RaTG13 virus and rather close to the bat SARS-like corona viruses bat-SL-CoVZXC21 and bat-SL- CoVZC45. Over 6,500 viruses are identified (given by their registration code) with larger NCD’s. The NCD’s are compared with the NCD’s between the mtDNA’s of familiar species. We treat the question whether Pangolins are involved in the SARS-CoV-2 virus. The NCD method or shortly the compression method is simpler and possibly faster than any other whole-genome method, which makes it the ideal tool to explore phylogeny. Here we use it for the complex case of determining this similarity between the COVID-19 virus SARS-CoV-2 and many other viruses. The resulting phylogeny and taxonomy closely matches earlier efforts by alignment-based methods and a machine-learning method, providing the most compelling evidence to date for the compression method showing that one can achieve equivalent results both simply and fast. Computational Biology Bioinformatics Medical Genetics Compression Phylogeny Covid-19 virus Full Text Additional Declarations No competing interests reported. Supplementary Files si.pdf Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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