Abstract: The Jilong Valley in Tibet harbors rich biodiversity, with pollination networks primarily mediated by pollinators playing a crucial role in maintaining the stability of local ecosystems. To more efficiently monitor the composition and dynamics of pollination networks in this region, as well as the dietary composition of key pollinator species, this study aims to construct a chloroplast genome database of flowering plants in Jilong Valley for molecular identification of pollen plant species. First, based on data from the Chinese Virtual Herbarium, we compiled a checklist of flowering plant species in Jilong Town during the blooming season from June to November. Chloroplast genome sequences for species on this checklist were retrieved from the NCBI public database when available, and de novo assembly and annotation were performed for nine additional plant species using high-throughput sequencing data. Among these, three species are endemic to Tibet, including Thalictrum reniforme, Caragana sukiensis, Roscoea auriculata (Near Threatened). Subsequently, 64 protein-coding genes (PCGs) from each species were extracted and concatenated to serve as reference sequences for the database. The preliminary chloroplast genome database for flowering plants comprises 419 species. The establishment of this database will provide crucial reference data to support molecular identification of the dietary diversity and pollination preferences of pollinating insects in Jilong Valley.

Key words: Database, Chloroplast Genome, Pollen, Jilong Valley