tetano
Editor, Senior Moderator
BMC Microbiol
. 2021 Mar 23;21(1):89.
doi: 10.1186/s12866-021-02158-6.
Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes
Yuki Iwasaki[SUP] 1 [/SUP], Takashi Abe[SUP] 2 [/SUP], Toshimichi Ikemura[SUP] 3 [/SUP]
Affiliations
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.
Keywords: Big data; COVID-19; Coronavirus; Oligonucleotide composition; RNA virus; SARS-CoV-2; Time-series analysis; Viral adaptation; Zoonotic virus.
. 2021 Mar 23;21(1):89.
doi: 10.1186/s12866-021-02158-6.
Human cell-dependent, directional, time-dependent changes in the mono- and oligonucleotide compositions of SARS-CoV-2 genomes
Yuki Iwasaki[SUP] 1 [/SUP], Takashi Abe[SUP] 2 [/SUP], Toshimichi Ikemura[SUP] 3 [/SUP]
Affiliations
- PMID: 33757449
- DOI: 10.1186/s12866-021-02158-6
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.
Keywords: Big data; COVID-19; Coronavirus; Oligonucleotide composition; RNA virus; SARS-CoV-2; Time-series analysis; Viral adaptation; Zoonotic virus.