Integrated transcriptomic and metabolomic analyses reveal tissue-specific accumulation and expression patterns of monoterpene glycosides, gallaglycosides, and flavonoids in Paeonia Lactiflora Pall.

IF 3.7 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Pan Xu, Jinghui Li, Cuiting Chen, Jing Chen, Meiping Yang, Huimin Deng, Xuechun Jiang, Kelang Lou, Xiaojun Wu, Rubing Chen, Yijuan Hu, Weiqing Liang, Jinbao Pu
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引用次数: 0

Abstract

Background: Paeonia lactiflora Pall. (PL) is widely recognized for its ornamental, edible, and medicinal properties. Its principle bioactive constituents include monoterpene glycosides (MGs), gallaglycosides (GGs), and flavonoids. However, the metabolic and molecular basis underlying their biosynthesis in PL remain poorly understood. In this study, an integrated non-targeted metabolomics and transcriptomics approach was employed to investigate the metabolic profiles and gene expression patterns in four distinct PL tissues.

Results: Metabolomic and transcriptome profiling revealed tissue-specific patterns of metabolite accumulation and gene expression. KEGG enrichment analysis of differentially expressed metabolites (DEMs) showed that secondary metabolites biosynthesis and transport processes play vital roles in the tissue-specific accumulation of bioactive constituents. A total of 19 DEMs and 90 differentially expressed genes (DEGs) associated with MGs, 10 DEMs and 14 DEGs associated with GGs, and 205 DEMs and 67 DEGs associated with flavonoids were identified. Roots, the primary medicinal tissue, exhibited substantial accumulation of eight MGs, two GGs, and 18 flavonoids, as well as elevated expression levels of 16, two and nine structural genes, respectively. Nine CYP450 s and two UGTs associated with MGs, and 14 UGTs associated with flavonoids, were identified as new candidate genes through phylogenetic and expression analyses. CYP71E1, CYP71 AN24.1, CYP71 AU50.2, and UGT91 A1.1 for MGs biosynthesis, and UGT71 K1.4, UGT89B2, UGT73 C25, and UGT71 K1.2 for flavonoids biosynthesis were prioritized through correlation analysis. WGCNA revealed that turquoise, green, and blue modules were significantly correlated with MGs and flavonoids biosynthesis, identifying 24 hub genes for MGs and 18 for flavonoids. The overlap of phylogenetic, expression, correlation and WGCNA analyses identified CYP71 AN24.1 and UGT91 A1.1 as putative MGs biosynthetic genes, and UGT89B2 as a flavonoid-related gene. Protein structure prediction and similarity analysis further supported their functional conservation with known terpenoid-modifying enzymes and flavonoid-specific glycosyltransferases, respectively.

Conclusions: These findings identified CYP71 AN24.1, UGT91 A1.1, and UGT89B2 as novel genes involved in MGs and flavonoids biosynthesis. The study provides a valuable theoretical foundation for future metabolic engineering aimed at optimizing the biosynthetic pathways of these primary active constituents in PL.

综合转录组学和代谢组学分析揭示了芍药中单萜苷、没食子苷和黄酮类化合物的组织特异性积累和表达模式。
背景:芍药。(PL)因其观赏、食用和药用特性而被广泛认可。其主要生物活性成分包括单萜苷(mg)、没食子苷(GGs)和类黄酮。然而,它们在PL中生物合成的代谢和分子基础仍然知之甚少。在本研究中,采用非靶向代谢组学和转录组学方法研究了四种不同PL组织的代谢谱和基因表达模式。结果:代谢组学和转录组学分析揭示了代谢物积累和基因表达的组织特异性模式。差异表达代谢物(DEMs)的KEGG富集分析表明,次生代谢物的生物合成和运输过程在生物活性成分的组织特异性积累中起着至关重要的作用。共鉴定出19个与mg相关的dem和90个差异表达基因,10个与gg相关的dem和14个差异表达基因,以及205个与黄酮类化合物相关的dem和67个差异表达基因。根作为主要药用组织,积累了8 mg、2 gg和18类黄酮,并分别表达了16个、2个和9个结构基因。通过系统发育和表达分析,鉴定出9个与mg相关的CYP450 s和2个与黄酮类相关的ugt,以及14个与黄酮类相关的ugt作为新的候选基因。相关性分析确定mg生物合成基因CYP71E1、CYP71 AN24.1、CYP71 AU50.2、UGT91 A1.1和类黄酮生物合成基因UGT71 K1.4、UGT89B2、UGT73 C25、UGT71 K1.2优先。WGCNA发现,绿松石色、绿色和蓝色模块与mg和类黄酮生物合成显著相关,鉴定出24个mg中心基因和18个类黄酮中心基因。系统发育、表达、相关性和WGCNA分析重叠,确定CYP71 AN24.1和UGT91 A1.1为推测的mg生物合成基因,UGT89B2为类黄酮相关基因。蛋白质结构预测和相似性分析进一步支持了它们与已知萜类修饰酶和黄酮类特异性糖基转移酶的功能保守性。结论:CYP71 AN24.1、UGT91 A1.1和UGT89B2是参与mg和黄酮类化合物生物合成的新基因。该研究为未来优化PL中这些主要活性成分的生物合成途径的代谢工程提供了有价值的理论基础。
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来源期刊
BMC Genomics
BMC Genomics 生物-生物工程与应用微生物
CiteScore
7.40
自引率
4.50%
发文量
769
审稿时长
6.4 months
期刊介绍: BMC Genomics is an open access, peer-reviewed journal that considers articles on all aspects of genome-scale analysis, functional genomics, and proteomics. BMC Genomics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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