Abstract
Scoliodon is a genus of small placental sharks living in offshore waters. For a long time, the genus was considered a monotypic genus until a valid species, Scoliodon macrorhynchos, was confirmed in 2010. However, S. muelleri in the same study was not widely recognized because of the lack of evidence. In this study, we obtained the complete mitochondrial genome of the genus Scoliodon from Ranong, Thailand, and tentatively named it Scoliodon sp. By comparing the complete mitochondrial genome with those of two other Scoliodon species and conducting phylogenetic and divergence time analyses, we determined that Scoliodon sp. diverged from the other species. These findings indicate the potential for a new cryptic species (Scoliodon sp.) in the Scoliodon genus. This conclusion was further supported by a subsequent analysis of the published S. laticaudus control region sequences from previous studies. Finally, based on these conclusions, we used machine learning to derive a new identification method for the cryptic species. This approach may be useful for the discovery of new species or cryptic species in other organisms.