Dynamic Expedition of Leading Mutations in SARS-CoV-2 Spike Glycoproteins

Abstract

During the ongoing CoVID-19 epidemic, the continuous genomic evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been generating new variants with enhanced transmissibility and immune escape. Being one key target of antibodies, mutations of the spike glycoprotein play a vital role in the trajectory of virus evasion. Here, we present a time-resolved statistical method, dynamic expedition of leading mutations (deLemus), to analyze the evolution dynamics of the spike protein. Together with analysis on single amino-acid polymorphism (SAP), we proposed one L-index to quantify the mutation strength of each amino acid for unravelling mutation pattern of spike glycoprotein. The sites of interest (SOI) with high L-index hold great promise to detect potential signal of emergent variants.