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10.1093/bib/bbaa262

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suck abstract from ncbi


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pmid33126244      Brief+Bioinform 2021 ; 22 (2): 1267-1278
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  • Compositional diversity and evolutionary pattern of coronavirus accessory proteins #MMPMID33126244
  • Shang J; Han N; Chen Z; Peng Y; Li L; Zhou H; Ji C; Meng J; Jiang T; Wu A
  • Brief Bioinform 2021[Mar]; 22 (2): 1267-1278 PMID33126244show ga
  • Accessory proteins play important roles in the interaction between coronaviruses and their hosts. Accordingly, a comprehensive study of the compositional diversity and evolutionary patterns of accessory proteins is critical to understanding the host adaptation and epidemic variation of coronaviruses. Here, we developed a standardized genome annotation tool for coronavirus (CoroAnnoter) by combining open reading frame prediction, transcription regulatory sequence recognition and homologous alignment. Using CoroAnnoter, we annotated 39 representative coronavirus strains to form a compositional profile for all of the accessary proteins. Large variations were observed in the number of accessory proteins of 1-10 for different coronaviruses, with SARS-CoV-2 and SARS-CoV having the most (9 and 10, respectively). The variation between SARS-CoV and SARS-CoV-2 accessory proteins could be traced back to related coronaviruses in other hosts. The genomic distribution of accessory proteins had significant intra-genus conservation and inter-genus diversity and could be grouped into 1, 4, 2 and 1 types for alpha-, beta-, gamma-, and delta-coronaviruses, respectively. Evolutionary analysis suggested that accessory proteins are more conservative locating before the N-terminal of proteins E and M (E-M), while they are more diverse after these proteins. Furthermore, comparison of virus-host interaction networks of SARS-CoV-2 and SARS-CoV accessory proteins showed that they share multiple antiviral signaling pathways, those involved in the apoptotic process, viral life cycle and response to oxidative stress. In summary, our study provides a tool for coronavirus genome annotation and builds a comprehensive profile for coronavirus accessory proteins covering their composition, classification, evolutionary pattern and host interaction.
  • |*Biological Evolution[MESH]
  • |COVID-19/*virology[MESH]
  • |Genes, Viral[MESH]
  • |Humans[MESH]
  • |Molecular Sequence Annotation[MESH]
  • |Open Reading Frames[MESH]
  • |Protein Interaction Maps[MESH]
  • |SARS-CoV-2/genetics/*metabolism[MESH]


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