Microsatellites were crucial in the control of SARS-CoV-2 genomic expression, population genetic evolution and host immunity interaction. The NCBI database and microsatellite analysis systems were utilized in this study to screen and test the correlation between the number of different microsatellites and genetic characteristics in the original strain and variants of SARS-CoV-2, as well as to investigate the microsatellite features affecting the genetic diversity of SARS-CoV-2. By bioinfor-matics analysis, the whole-genome sequence database of SARS-CoV-2 was constructed, and information on the genetic charac-teristics, microsatellite numbers and relative position distribution characteristics of microsatellites in the sequence database were collected; correlation analysis between the number of various microsatellites and one-sample Wilcoxon signed-rank non-para-metric tests were performed by biostatistical analysis. The findings revealed that the quantity, proportion, and relative distribut-ing features of various microsatellites in the original strain and SARS-CoV-2 variants (except Lambda and Omicron) were com-parable. The proportion of microsatellites with 2 nucleotide repeats (77%～78%), 3 motif repeats (22%～23%), and 6 bp full-