Evidence map›Paper›PMID 40597646›Full record

ArticleBMC plant biology2025

Combining metabolomics and transcriptomics to reveal the effect of β-glucosidase on scopolin in Angelica dahurica var. formosana.

Yalan Wang, Han Hu, Zhihui Zhou, Duanyang Li, Feixia Hou, Cheng Peng, Jinhui Bian, Jihai Gao

Abstract read
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Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yalan Wang *State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Han Hu *State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Zhihui ZhouState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Duanyang LiState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Feixia HouState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Cheng PengState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Jinhui BianState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China. bianjinhui@cdutcm.edu.cn.
Jihai GaoState Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China. gaojihai@cdutcm.edu.cn.

Funding

National Interdisciplinary Innovation Team of Traditional Chinese Medicine ZYYCXTD-D-202209This work was supported by National Interdisciplinary Innovation Team Multi-dimensional evaluation of characteristic traditional Chinese medicine resources and product development innovation team 2022C001
6 · The paper itself

Abstract

Angelica dahurica var. formosana (ADF), a diversified variety that integrates medicine, food, and cosmetics, possessing abundant coumarin compounds. One of the pharmacologically active and aromatic components found in it is coumarins. However, the biosynthetic mechanism of coumarins in ADF is still unclear. We found that β-glucosidase plays an important role in the simple coumarin biosynthesis pathway and has also been confirmed to promote the release of potential aroma components in other plants. Therefore, we selected BGLU genes from ADF to investigate their biological functions. Here, we performed transcriptomic and untargeted metabolomic analyses to explore the metabolic characteristics of different tissues and their associated gene regulation. A total of 108 coumarins were identified from ADF untargeted metabolomic analysis using UPLC-MS/MS, with 87, 75, and 95 coumarins detected in roots, stems, and leaves, respectively Transcriptomic analysis identified 17 BGLU genes, 9 of which were positively correlated with the synthesis of coumarin and scopoletin. Based on the molecular docking results, AdBGLU1 and AdBGLU7 with the lowest binding energies were selected for functional validation. The results from heterologous expression demonstrated the enzyme's ability to facilitate theconversion of scopolin to scopoletin. Notably, AdBGLU7 exhibited a higher conversion rate, consistent with its elevated protein expression levels observed in Western blot analysis. This study provides a comprehensive metabolic and transcriptomic profile analysis, enhancing our understanding of coumarin biosynthesis in ADF.

Indexed as

Angelicabeta-GlucosidaseCoumarinsPlant ProteinsGene Expression ProfilingGene Expression Regulation, PlantGlucosidesMetabolomicsMolecular Docking SimulationTranscriptomebeta-GlucosidaseCoumarinsGlucosidesPlant ProteinsscopolinAngelica dahurica var. formosanaScopolinTranscriptomicsUntargeted metabolomicsβ-glucosidase

Identifiers

PMID40597646
PMCPMC12211270

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