Literature DB >> 34898980

Evolutionary Dynamics of Indels in SARS-CoV-2 Spike Glycoprotein.

R Shyama Prasad Rao1, Nagib Ahsan2,3, Chunhui Xu4, Lingtao Su4, Jacob Verburgt5, Luca Fornelli2,6, Daisuke Kihara5,7, Dong Xu4.   

Abstract

SARS-CoV-2, responsible for the current COVID-19 pandemic that claimed over 5.0 million lives, belongs to a class of enveloped viruses that undergo quick evolutionary adjustments under selection pressure. Numerous variants have emerged in SARS-CoV-2, posing a serious challenge to the global vaccination effort and COVID-19 management. The evolutionary dynamics of this virus are only beginning to be explored. In this work, we have analysed 1.79 million spike glycoprotein sequences of SARS-CoV-2 and found that the virus is fine-tuning the spike with numerous amino acid insertions and deletions (indels). Indels seem to have a selective advantage as the proportions of sequences with indels steadily increased over time, currently at over 89%, with similar trends across countries/variants. There were as many as 420 unique indel positions and 447 unique combinations of indels. Despite their high frequency, indels resulted in only minimal alteration of N-glycosylation sites, including both gain and loss. As indels and point mutations are positively correlated and sequences with indels have significantly more point mutations, they have implications in the evolutionary dynamics of the SARS-CoV-2 spike glycoprotein.
© The Author(s) 2021.

Entities:  

Keywords:  COVID-19; Computational proteomics; N-glycosylation sites; SARS-CoV-2; indels; molecular evolution; selection; sequence analysis

Year:  2021        PMID: 34898980      PMCID: PMC8655444          DOI: 10.1177/11769343211064616

Source DB:  PubMed          Journal:  Evol Bioinform Online        ISSN: 1176-9343            Impact factor:   1.625


  60 in total

1.  Distribution of N-glycosylation sequons in proteins: how apart are they?

Authors:  R Shyama Prasad Rao; Ole Thomsen Buus; Bernd Wollenweber
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2.  Biopython: freely available Python tools for computational molecular biology and bioinformatics.

Authors:  Peter J A Cock; Tiago Antao; Jeffrey T Chang; Brad A Chapman; Cymon J Cox; Andrew Dalke; Iddo Friedberg; Thomas Hamelryck; Frank Kauff; Bartek Wilczynski; Michiel J L de Hoon
Journal:  Bioinformatics       Date:  2009-03-20       Impact factor: 6.937

3.  Tracking global patterns of N-linked glycosylation site variation in highly variable viral glycoproteins: HIV, SIV, and HCV envelopes and influenza hemagglutinin.

Authors:  Ming Zhang; Brian Gaschen; Wendy Blay; Brian Foley; Nancy Haigwood; Carla Kuiken; Bette Korber
Journal:  Glycobiology       Date:  2004-06-02       Impact factor: 4.313

Review 4.  HIV-1 and SARS-CoV-2: Patterns in the evolution of two pandemic pathogens.

Authors:  Will Fischer; Elena E Giorgi; Srirupa Chakraborty; Kien Nguyen; Tanmoy Bhattacharya; James Theiler; Pablo A Goloboff; Hyejin Yoon; Werner Abfalterer; Brian T Foley; Houriiyah Tegally; James Emmanuel San; Tulio de Oliveira; Sandrasegaram Gnanakaran; Bette Korber
Journal:  Cell Host Microbe       Date:  2021-06-03       Impact factor: 31.316

5.  Important role of indels in somatic mutations of human cancer genes.

Authors:  Haiwang Yang; Yan Zhong; Cheng Peng; Jian-Qun Chen; Dacheng Tian
Journal:  BMC Med Genet       Date:  2010-09-01       Impact factor: 2.103

6.  The coronavirus is here to stay - here's what that means.

Authors:  Nicky Phillips
Journal:  Nature       Date:  2021-02       Impact factor: 69.504

7.  SARS-CoV genome polymorphism: a bioinformatics study.

Authors:  Gordana M Pavlović-Lazetić; Nenad S Mitić; Andrija M Tomović; Mirjana D Pavlović; Milos V Beljanski
Journal:  Genomics Proteomics Bioinformatics       Date:  2005-02       Impact factor: 7.691

8.  GISAID: Global initiative on sharing all influenza data - from vision to reality.

Authors:  Yuelong Shu; John McCauley
Journal:  Euro Surveill       Date:  2017-03-30

9.  CD-HIT Suite: a web server for clustering and comparing biological sequences.

Authors:  Ying Huang; Beifang Niu; Ying Gao; Limin Fu; Weizhong Li
Journal:  Bioinformatics       Date:  2010-01-06       Impact factor: 6.937

10.  Analysis of the SARS-CoV-2 spike protein glycan shield reveals implications for immune recognition.

Authors:  Oliver C Grant; David Montgomery; Keigo Ito; Robert J Woods
Journal:  Sci Rep       Date:  2020-09-14       Impact factor: 4.379

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