Literature DB >> 33757449

Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes.

Yuki Iwasaki1, Takashi Abe2, Toshimichi Ikemura3.   

Abstract

BACKGROUND: When a virus that has grown in a nonhuman host starts an epidemic in the human population, human cells may not provide growth conditions ideal for the virus. Therefore, the invasion of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which is usually prevalent in the bat population, into the human population is thought to have necessitated changes in the viral genome for efficient growth in the new environment. In the present study, to understand host-dependent changes in coronavirus genomes, we focused on the mono- and oligonucleotide compositions of SARS-CoV-2 genomes and investigated how these compositions changed time-dependently in the human cellular environment. We also compared the oligonucleotide compositions of SARS-CoV-2 and other coronaviruses prevalent in humans or bats to investigate the causes of changes in the host environment.
RESULTS: Time-series analyses of changes in the nucleotide compositions of SARS-CoV-2 genomes revealed a group of mono- and oligonucleotides whose compositions changed in a common direction for all clades, even though viruses belonging to different clades should evolve independently. Interestingly, the compositions of these oligonucleotides changed towards those of coronaviruses that have been prevalent in humans for a long period and away from those of bat coronaviruses.
CONCLUSIONS: Clade-independent, time-dependent changes are thought to have biological significance and should relate to viral adaptation to a new host environment, providing important clues for understanding viral host adaptation mechanisms.

Entities:  

Keywords:  Big data; COVID-19; Coronavirus; Oligonucleotide composition; RNA virus; SARS-CoV-2; Time-series analysis; Viral adaptation; Zoonotic virus

Mesh:

Substances:

Year:  2021        PMID: 33757449      PMCID: PMC7987243          DOI: 10.1186/s12866-021-02158-6

Source DB:  PubMed          Journal:  BMC Microbiol        ISSN: 1471-2180            Impact factor:   3.605


  29 in total

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7.  Prediction of directional changes of influenza A virus genome sequences with emphasis on pandemic H1N1/09 as a model case.

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8.  Evolution of the primate APOBEC3A cytidine deaminase gene and identification of related coding regions.

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9.  Rampant C→U Hypermutation in the Genomes of SARS-CoV-2 and Other Coronaviruses: Causes and Consequences for Their Short- and Long-Term Evolutionary Trajectories.

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  3 in total

1.  Comparative genomic analysis of the human genome and six bat genomes using unsupervised machine learning: Mb-level CpG and TFBS islands.

Authors:  Yuki Iwasaki; Toshimichi Ikemura; Kennosuke Wada; Yoshiko Wada; Takashi Abe
Journal:  BMC Genomics       Date:  2022-07-08       Impact factor: 4.547

2.  AI-based search for convergently expanding, advantageous mutations in SARS-CoV-2 by focusing on oligonucleotide frequencies.

Authors:  Toshimichi Ikemura; Yuki Iwasaki; Kennosuke Wada; Yoshiko Wada; Takashi Abe
Journal:  PLoS One       Date:  2022-08-31       Impact factor: 3.752

3.  Unsupervised explainable AI for molecular evolutionary study of forty thousand SARS-CoV-2 genomes.

Authors:  Yuki Iwasaki; Takashi Abe; Kennosuke Wada; Yoshiko Wada; Toshimichi Ikemura
Journal:  BMC Microbiol       Date:  2022-03-10       Impact factor: 3.605

  3 in total

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