Literature DB >> 33377145

Evolutionary and codon usage preference insights into spike glycoprotein of SARS-CoV-2.

Yashpal Singh Malik1, Mohd Ikram Ansari2, Jobin Jose Kattoor3, Rahul Kaushik4, Shubhankar Sircar5, Anbazhagan Subbaiyan6, Ruchi Tiwari7, Kuldeep Dhama8, Souvik Ghosh9, Shailly Tomar10, Kam Y J Zhang11.   

Abstract

Interaction of SARS-CoV-2 n class="Gene">spike glycoprotein with the ACE2 cell receptor is very crucial for virus attachment to human cells. Selected mutations in SARS-CoV-2 S-protein are reported to strengthen its binding affinity to mammalian ACE2. The N501T mutation in SARS-CoV-2-CTD furnishes better support to hotspot 353 in comparison with SARS-CoV and shows higher affinity for receptor binding. Recombination analysis exhibited higher recombination events in SARS-CoV-2 strains, irrespective of their geographical origin or hosts. Investigation further supports a common origin among SARS-CoV-2 and its predecessors, SARS-CoV and bat-SARS-like-CoV. The recombination events suggest a constant exchange of genetic material among the co-infecting viruses in possible reservoirs and human hosts before SARS-CoV-2 emerged. Furthermore, a comprehensive analysis of codon usage bias (CUB) in SARS-CoV-2 revealed significant CUB among the S-genes of different beta-coronaviruses governed majorly by natural selection and mutation pressure. Various indices of codon usage of S-genes helped in quantifying its adaptability in other animal hosts. These findings might help in identifying potential experimental animal models for investigating pathogenicity for drugs and vaccine development experiments.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  ACE2 receptor; COVID-19; S-protein; SARS-CoV-2; codon usage analysis; recombination

Mesh:

Substances:

Year:  2021        PMID: 33377145      PMCID: PMC7953982          DOI: 10.1093/bib/bbaa383

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  8 in total

1.  IHEC_RAAC: a online platform for identifying human enzyme classes via reduced amino acid cluster strategy.

Authors:  Hao Wang; Qilemuge Xi; Pengfei Liang; Lei Zheng; Yan Hong; Yongchun Zuo
Journal:  Amino Acids       Date:  2021-01-23       Impact factor: 3.520

2.  Natural selection plays a significant role in governing the codon usage bias in the novel SARS-CoV-2 variants of concern (VOC).

Authors:  Neetu Tyagi; Rahila Sardar; Dinesh Gupta
Journal:  PeerJ       Date:  2022-06-23       Impact factor: 3.061

3.  A novel structure-based approach for identification of vertebrate susceptibility to SARS-CoV-2: Implications for future surveillance programmes.

Authors:  Rahul Kaushik; Naveen Kumar; Kam Y J Zhang; Pratiksha Srivastava; Sandeep Bhatia; Yashpal Singh Malik
Journal:  Environ Res       Date:  2022-04-20       Impact factor: 8.431

4.  SARS-CoV-2's origin should be investigated worldwide for pandemic prevention.

Authors:  Zhiqiang Wu; Qi Jin; Guizhen Wu; Jian Lu; Mingkun Li; Deyin Guo; Ke Lan; Luzhao Feng; Zhaohui Qian; Lili Ren; Wenjie Tan; Wenbo Xu; Weizhong Yang; Jianwei Wang; Chen Wang
Journal:  Lancet       Date:  2021-09-17       Impact factor: 79.321

5.  SARS-CoV-2 host prediction based on virus-host genetic features.

Authors:  Irina Yuri Kawashima; Maria Claudia Negret Lopez; Marielton Dos Passos Cunha; Ronaldo Fumio Hashimoto
Journal:  Sci Rep       Date:  2022-03-17       Impact factor: 4.379

6.  Statistical modeling of SARS-CoV-2 substitution processes: predicting the next variant.

Authors:  Keren Levinstein Hallak; Saharon Rosset
Journal:  Commun Biol       Date:  2022-03-29

7.  Analysis of SARS-CoV-2 synonymous codon usage evolution throughout the COVID-19 pandemic.

Authors:  Ezequiel G Mogro; Daniela Bottero; Mauricio J Lozano
Journal:  Virology       Date:  2022-02-02       Impact factor: 3.616

8.  Mutation Profiles, Glycosylation Site Distribution and Codon Usage Bias of Human Papillomavirus Type 16.

Authors:  Wei Liu; Junhua Li; Hongli Du; Zhihua Ou
Journal:  Viruses       Date:  2021-06-30       Impact factor: 5.048

  8 in total

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