Although the draft genome sequence of silkworm is available for a decade, its genetic variations, especially structural variations, are far from well explored. In this study, we identified 1,298,659 SNPs and 9,731 indels, of which 32 % of SNPs and 92.2 % of indels were novel compared to previous silkworm re-sequencing analysis. In addition, we applied a read depth-based approach to investigate copy number variations among 21 silkworm strains at genome-wide level. This effort resulted in 562 duplicated and 41 deleted CNV regions, and among them 442 CNV were newly identified. Functional annotation of genes affected by these genetic variations reveal that these genes include a wide spectrum of molecular functions, such as immunity and drug detoxification, which are important for the adaptive evolution of silkworms. We further validated the predicted CNV regions using q-PCR. 94.7 % (36/38) of the selected regions show divergent copy numbers compared to a single-copy gene OR2. In addition, potential presence/absence variations are also observed in our study: 11 genes are present in the reference genome, but absent in other strains. Overall, we draw an integrative map of silkworm genetic variation at genome-wide level. The identification of genetic variations in this study improves our understanding that these variants play important roles in shaping phenotypic variations between wild and domesticated silkworms.