Deciphering the Temporal and Spatial Mutation Dynamics of the SARS-CoV-2 Spike Glycoprotein

Key Points

• This research aims to understand the mutation dynamics of the SARS-CoV-2 spike glycoprotein across time and space.
• Developed a statistical pipeline with two analysis procedures
• Conducted probability sequence density analysis to explore spike mutation sequence space
• Identified leading mutations in the spike glycoprotein
• Identified significant patterns in the temporal mutation dynamics of the spike glycoprotein
• Detected key mutations influencing viral adaptation
• Revealed spatial variations in mutation occurrences across different regions