We conducted a study comparing rhizosphere bacterial communities in the rhizosphere soils of invasive plant T. sebifera and native plants on Miyajima Island, while also examining the surrounding vegetation. We used 16S amplicon sequencing to assess alpha and beta diversity, created binary tanglegram graphs illustrating the links between bacterial communities and plant life at sampling points, and employed Canonical Correspondence Analysis (CCA) to explore connections between bacterial compositions and nutrients.  We also made functional predictions of bacterial communities and utilized a random forest algorithm to identify crucial bacterial groups for T. sebifera growth. Our results showed similar bacterial diversity in the rhizospheres of T. sebifera and native plants, even if their community compositions differed. The tanglegram results confirmed the influence of vegetation on bacterial composition.  Functional predictions suggested shared functional potentials despite differences in species composition. Notably, our random forest analysis identified plant growth-promoting rhizobacteria (PGPR) as the most important bacterial community for T. sebifera. Overall, our results indicate that T. sebifera's rhizosphere bacterial communities are not uniform and can impact on composition. Additionally, the functional similarities between T. sebifera and native plant rhizosphere bacterial communities may aid its adaptation to the local, nutrient-poor soil, contributing to its invasive success.