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Transcriptome and metabolome analysis of the regulatory network of bioactive compounds synthesis in different growth stages of two medicinal edible Ferula
Scientia Horticulturae ( IF 3.9 ) Pub Date : 2024-10-30 , DOI: 10.1016/j.scienta.2024.113770 JingYi Zhao, ZhiJia Tian, Mei Wang, XiangXue Yu, Qian Li, Bo Chen, Li Zhang, XinYong Guo
Ferula plants have attracted worldwide attention due to their extensive medicinal value. As a kind of Chinese medicinal Ferula, Ferula fukanensis has rich medicinal value. Although its folk substitute Ferula feruloides has not been formally incorporated into the Chinese Pharmacopoeia, recent studies have shown that it also has certain medicinal value. Moreover, due to the growth characteristics of Ferula plants, there may be some differences in bioactive substances at different growth stages. Therefore, based on transcriptomics and widely targeted metabolomics, this study compared the bioactive substances of the two Ferula plants at different growth stages, and identified 1109 differential metabolites and 77,728 differentially expressed genes. This study used the KEGG database to construct Flavonoid and Alkaloid metabolic pathways. Through analysis and comparison, it was found that most of the key metabolites were in Ferula feruloides . The key genes PAL, CYP73A, CYP75B, and TAT related to the synthesis of key metabolites were also significantly enriched in Ferula feruloides , and in the comparison of different growth stages, the key genes were mainly enriched in May and June. In this study, we compared the bioactive substances of two types of Ferula plants at various developmental stages to substantiate the medicinal value of Ferula feruloides . By comparing the enrichment of key metabolites and genes at different stages, we determined the optimal harvest time for Ferula plants. This provides a molecular basis for future research on Ferula plants and is expected to help alleviate the endangered status of these plants.
更新日期:2024-10-30
Scientia Horticulturae ( IF 3.9 ) Pub Date : 2024-10-30 , DOI: 10.1016/j.scienta.2024.113770 JingYi Zhao, ZhiJia Tian, Mei Wang, XiangXue Yu, Qian Li, Bo Chen, Li Zhang, XinYong Guo