Medicinal Plant Research 2025, Vol.15, No.3, 142-150 http://hortherbpublisher.com/index.php/mpr 148 7.4 Clinical translation and industrial potential Pan-genomics integration with multi-omics and computational technologies expands Astragalus' utility in the clinic and industries. Pan-genomic resources make it easier to prepare standardized high-quality medicinal products, precision breeding, and genetic discovery to therapeutic translation. Such technologies also speed up the industrialization of traditional Chinese medicine by providing a scientific foundation for quality control, efficacy evaluation, and discovery of new therapeutic drugs (Reghu et al., 2024). 8 Concluding Remarks The new breakthroughs in genomic and pan-genomic research have significantly enriched our understanding of Astragalus membranaceus. High-quality genome assemblies, functional annotations, and comparative genomic analysis have made it possible to characterize genes that contribute to medicinally useful metabolites, including polysaccharides, flavonoids, and saponins. Construction of a pan-genome scaffold has also revealed core and variable gene collections, structural variation, and lineage-specific genes accountable for the species' incredible phenotypic and metabolic diversity. These results constitute an initial step in connecting genomic variety to functional qualities within this medicinally valuable genus. The Astragalus pan-genome is emerging as an extremely useful tool to untangle the genetic determinants of trait variability. By integrating gene presence/absence variation, copy number variation, SNP, and large-scale structural rearrangement analyses, researchers are beginning to untangle the molecular determinants of variations in accumulation of bioactive compounds, stress tolerance, and adaptive evolution. These results not only reveal more on trait plasticity in Astragalus, but also provide outstanding genetic material to support directed breeding and improvement in quality. Future research will include the coupling of pan-genomics with multi-omics platforms like transcriptomics, metabolomics, and epigenomics to attain a deeper understanding of regulatory networks for Astragalus trait diversity. Big data analysis, machine learning, and network pharmacology will enable functional genes and pathways of pharmacological efficacy to be discovered. Finally, combination of clinical data and precision breeding techniques can transcend the divide between genomic advances and practical use, enabling standardized cultivation, increased consistency of herbal quality, and rationale production of new herbal remedies. Finally, research of the Astragalus pan-genome will not only enable genetic improvement of this critical medicinal plant but also drive overall modernization and world acceptance of traditional Chinese medicine. Acknowledgments The authors extend heartfelt gratitude to the research team for their dedicated support and active collaboration throughout data collection and literature organization, whose contributions have laid a solid foundation for the successful completion of this study. The authors also acknowledge the invaluable feedback and constructive suggestions provided by the two anonymous reviewers during the review process, which played a crucial role in enhancing and refining the quality of this paper. Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Alonge M., Soyk S., Ramakrishnan S., Wang X., Goodwin S., Sedlazeck F., Lippman Z., and Schatz M., 2019, RaGOO: fast and accurate reference-guided scaffolding of draft genomes, Genome Biology, 20: 224. https://doi.org/10.1186/s13059-019-1829-6 Bagheri A., Roofigar A., Nemati Z., and Blattner F., 2022, Genome size and chromosome number evaluation of Astragalus L. sect. Hymenostegis Bunge (Fabaceae), Plants, 11(3): 435. https://doi.org/10.3390/plants11030435 Bayer P., Golicz A., Scheben A., Batley J., and Edwards D., 2020, Plant pan-genomes are the new reference, Nature Plants, 6(8): 914-920. https://doi.org/10.1038/s41477-020-0733-0 Cao C., Tian M., Li Z., Zhu W., Huang P., and Yang S., 2024, GWAShug: a comprehensive platform for decoding the shared genetic basis between complex traits based on summary statistics, Nucleic Acids Research, 53(2): 1006-1015. https://doi.org/10.1093/nar/gkae873
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