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 .