Related Experiment Video
Updated: Oct 10, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Evolutionary Dynamics of Indels in SARS-CoV-2 Spike Glycoprotein
R Shyama Prasad Rao1, Nagib Ahsan2,3, Chunhui Xu4
1Biostatistics and Bioinformatics Division, Yenepoya Research Center, Yenepoya University, Mangaluru, Karnataka, India.
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.
Related Concept Videos
Viral Mutations
Mutation, Gene Flow, and Genetic Drift
Gene Duplication and Divergence
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
Point and Frameshift Mutations
Gene Evolution - Fast or Slow?
In contrast, regions which code...
Size and Structure of Viral Genomes

