Construction of a Multi-Omics database for Paeonia lactiflora: A resource for comprehensive data integration and analysis
1
Issued Date
2025-12-01
Resource Type
eISSN
14712229
Scopus ID
2-s2.0-105012963217
Journal Title
BMC Plant Biology
Volume
25
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
BMC Plant Biology Vol.25 No.1 (2025)
Suggested Citation
Lu Z., Huang L., Bunsupa S., Hamezah H.S., Tong X., Jin C., Ou J., Han R. Construction of a Multi-Omics database for Paeonia lactiflora: A resource for comprehensive data integration and analysis. BMC Plant Biology Vol.25 No.1 (2025). doi:10.1186/s12870-025-07032-5 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/111701
Title
Construction of a Multi-Omics database for Paeonia lactiflora: A resource for comprehensive data integration and analysis
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Corresponding Author(s)
Other Contributor(s)
Abstract
Background: Paeonia lactiflora Pall. is a traditional medicinal plant widely used in East Asia, particularly for its roots, which are processed into various herbal remedies. With the advancement of omics technologies, significant genomic, transcriptomic, proteomic, and metabolomic data related to P. lactiflora have been generated. To facilitate the utilization of this wealth of information for research and applications, a multi-omics database specific to P. lactiflora was developed. Results: This comprehensive multi-omics database includes genomic, transcriptomic, and proteomic datasets, as well as chemical compound profiles identified in various tissues and growth stages. The database also features data on key biosynthetic pathways, including those associated with monoterpenoid glycosides such as paeoniflorin, and provides tools for analyzing protein structures and interactions. Additionally, it summarizes P. lactiflora’s major active compounds, and highlights reported pharmacological effects. The database is organized into key functional modules: Home, Genome, Transcriptome, Proteome, Tools, Biosynthetic Pathways, Chemical Compounds, and Publications. Notably, the “Tools” module supports sequence alignment, pathway enrichment analysis (including Kyoto Encyclopedia of Genes and Genomes, KEGG), protein structure prediction, and primer design. Conclusions: The multi-omics database (URL: http://210.22.121.250:8888/cosd/home/indexPage) of P. lactiflora integrates extensive molecular and chemical data, providing a robust platform for researchers. It serves as a valuable resource for advancing studies on the cultivation, breeding, and molecular pharmacognosy of P. lactiflora and supports the development of its medicinal applications.