SARS-CoV-2 has rapidly transmitted worldwide and results in the COVID-19 pandemic . Spike glycoprotein on surface is a key factor of viral transmission, and has appeared a lot of variants due to gene mutations, which may influence the viral antigenicity and vaccine efficacy . Here, we used bioinformatic tools to analyze B - cell epitopes of prototype S protein and its 9 common variant s. 12 potential linear and 53 discontinuous epitopes of B-cell s were predicted from the S protein prototype . Importantly, by c omparing the epitope alterations between prototype and variant s, we demonstrate that B-cell epitopes and antigenicity of 9 variant s appear significantly different alterations. The dominant D614 G variant impacts the potential epitope least, o nly with moderately elevated antigenicity , while the epitopes and antigenicity of some mutants ( V483A, V367F , etc.) with small incidence in the population change greatly. These results suggest that t he current ly developed vaccine s should be valid for a majority of SARS-CoV-2 infectors . This study provides a scientific basis for large-scale application of SARS-CoV-2 vaccines and for taking precautions against the probable appearance of antigen escape induced by genetic variation after vaccination .