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Compositional diversity and evolutionary pattern of coronavirus accessory proteins.
Shang, Jingzhe; Han, Na; Chen, Ziyi; Peng, Yousong; Li, Liang; Zhou, Hangyu; Ji, Chengyang; Meng, Jing; Jiang, Taijiao; Wu, Aiping.
  • Shang J; Suzhou Institute of Systems Medicine, Center for Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Jiangsu, Suzhou, China.
  • Han N; Suzhou Institute of Systems Medicine, Center for Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Jiangsu, Suzhou, China.
  • Chen Z; Suzhou Institute of Systems Medicine, Center for Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Jiangsu, Suzhou, China.
  • Peng Y; College of Biology at Hunan University, China.
  • Li L; Linyi people's hospital, Shandong, China.
  • Zhou H; Suzhou Institute of Systems Medicine, Center for Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Jiangsu, Suzhou, China.
  • Ji C; Suzhou Institute of Systems Medicine, Center for Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Jiangsu, Suzhou, China.
  • Meng J; Suzhou Institute of Systems Medicine, Center for Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Jiangsu, Suzhou, China.
  • Jiang T; Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Wu A; Suzhou Institute of Systems Medicine, Center for Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Jiangsu, Suzhou, China.
Brief Bioinform ; 22(2): 1267-1278, 2021 03 22.
Article in English | MEDLINE | ID: covidwho-1343631
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Viral Proteins / Biological Evolution / SARS-CoV-2 / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Brief Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article Affiliation country: Bib

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Viral Proteins / Biological Evolution / SARS-CoV-2 / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Brief Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article Affiliation country: Bib