中草药

基于代谢-转录组学对近野生铁皮石斛石生和木生栽培模式与药效物质累积规律的研究

PDF下载

尹阿顺, 李梦妮, 盛小宽, 白泽榕, 廖薇, 陆榆菲, 钱晨欣, 陈婷, 汪紫莹, 詹志来, 梁宗锁, 张晓丹

中草药 | 药材与资源 2026,57(19): 7787-7798

收起

中草药 |药材与资源 2026 , 57 (19) : 7787 -7798

基于代谢-转录组学对近野生铁皮石斛石生和木生栽培模式与药效物质累积规律的研究

全屏

尹阿顺, 李梦妮, 盛小宽, 白泽榕, 廖薇, 陆榆菲, 钱晨欣, 陈婷, 汪紫莹, 詹志来, 梁宗锁, 张晓丹

作者信息

通讯作者:

张晓丹

作者简介:

尹阿顺: 尹阿顺，硕士研究生，研究方向为铁皮石斛药效成分研究。E-mail:yas123yas123@126.com

Metabolomics and transcriptomics-based exploration of stone-/wood-based cultivation patterns of near-wild Dendrobium officinale and accumulation patterns of pharmacologically active substances

YIN Ashun, LI Mengni, SHENG Xiaokuan, BAI Zerong, LIAO Wei, LU Yufei, QIAN Chenxin, CHEN Ting, WANG Ziying, ZHAN Zhilai, LIANG Zongsuo, ZHANG Xiaodan

Affiliations

doi: 10.7501j.issn.0253-2670.2026.19.022

文章导航

摘要

收起

目的研究不同栽培基质对近野生铁皮石斛Dendrobium officinale药效成分积累的调控机制，为其品质差异的分子基础及栽培基质优化提供依据。方法以石生和木生栽培基质的铁皮石斛样品为材料，采用非靶向代谢组学鉴定并比较2种栽培模式下次生代谢物谱以及通过转录组学测序用于筛选差异表达基因，并结合KEGG等数据库进行通路富集分析，并与代谢物变化进行整合分析。结果代谢组共鉴定2 878个代谢物，其中354个在2种模式间显著差异，主要涉及苯丙素类、类黄酮、生物碱、脂质及芳香族氨基酸等物质。石生样品中黄酮类、生物碱类及部分氨基酸类代谢物整体积累水平较高，木生样品中脂质及类固醇类物质相对富集。转录组测序筛选出2 966个差异表达基因，KEGG富集分析显示苯丙素类生物合成（ko00940）、类黄酮生物合成（ko00941）、苯丙氨酸/酪氨酸/色氨酸生物合成（ko00400）及托品烷、哌啶和吡啶生物碱生物合成（ko00960）等通路显著分化。类黄酮合成关键酶[如苯丙氨酸解氨酶（phenylalanine ammonia lyase，PAL）、查耳酮合成酶（chalcone synthase，CHS）、关黄烷酮3-羟化酶（flavanone 3-hydroxylase，F3H）]基因在石生样品中上调表达，与相关代谢物积累趋势一致。联合分析表明，栽培基质可能通过调控苯丙素-类黄酮-生物碱代谢相关基因表达，改变代谢通量分配方向，形成不同代谢表型。结论栽培基质通过调控苯丙素、类黄酮及生物碱等相关代谢通路基因的表达，影响铁皮石斛活性成分的种类与积累水平，从而造成石生与木生栽培品质量的差异。系统阐明了铁皮石斛品质差异的分子机制，为栽培基质优化和药材分级利用提供理论依据。

关键词

铁皮石斛 / 非靶向代谢组学 / 转录组学 / 栽培基质 / 药效成分

Abstract

收起

Objective To investigate the regulatory mechanisms by which different cultivation substrates influence the accumulation of pharmacologically active components in near-wild Tiepishihu (Dendrobium officinale), and provide a basis for elucidating the molecular mechanisms underlying quality differences and for optimizing cultivation substrates. Methods D. officinale samples grown on stone-based and wood-based substrates were used as experimental materials. Non-targeted metabolomics was employed to identify and compare the secondary metabolite profiles under the two cultivation modes, while transcriptome sequencing was conducted to screen differentially expressed genes (DEGs). KEGG and other databases were used for pathway enrichment analysis, which was then integrated with metabolite variation data. Results A total of 2 878 metabolites were identified by metabolomics, of which 354 showed significant differences between the two cultivation modes. These metabolites were mainly involved in phenylpropanoids, flavonoids, alkaloids, lipids, and aromatic amino acids. Flavonoids, alkaloids, and certain amino acid-derived metabolites exhibited overall higher accumulation in stone-grown samples, whereas lipids and steroid-related compounds were relatively enriched in wood-grown samples. Transcriptome sequencing identified 2 966 DEGs. KEGG enrichment analysis indicated significant differentiation in pathways including phenylpropanoid biosynthesis (ko00940), flavonoid biosynthesis (ko00941), phenylalanine/tyrosine/tryptophan biosynthesis (ko00400), and tropane, piperidine and pyridine alkaloid biosynthesis (ko00960). Genes encoding key enzymes in flavonoid biosynthesis [such as phenylalanine ammonia lyase (PAL), chalcone synthase (CHS), flavanone 3-hydroxylase (F3H)] were upregulated in stone-grown samples, consistent with the accumulation patterns of the corresponding metabolites. Integrated analysis suggested that cultivation substrates may regulate the expression of genes involved in phenylpropanoid-flavonoid-alkaloid metabolism, thereby altering the direction of metabolic flux allocation and ultimately shaping distinct metabolic phenotypes. Conclusion Cultivation substrates influence the types and accumulation levels of active constituents in D. officinale by regulating the expression of genes in phenylpropanoid, flavonoid, and alkaloid biosynthetic pathways, resulting in quality differences between stone-grown and wood-grown materials. This study systematically elucidates the molecular mechanisms underlying quality variation in D. officinale and provides a theoretical basis for cultivation substrate optimization and graded utilization of medicinal materials.

Key words

Dendrobium officinale Kimura & Migo / non-targeted metabolomics / transcriptomics / cultivation substrate / pharmacologically active components

引用本文

尹阿顺, 李梦妮, 盛小宽, 白泽榕, 廖薇, 陆榆菲, 钱晨欣, 陈婷, 汪紫莹, 詹志来, 梁宗锁, 张晓丹. 基于代谢-转录组学对近野生铁皮石斛石生和木生栽培模式与药效物质累积规律的研究. 中草药, 2026 , 57 (19) : 7787 -7798 . DOI: 10.7501j.issn.0253-2670.2026.19.022

YIN Ashun, LI Mengni, SHENG Xiaokuan, BAI Zerong, LIAO Wei, LU Yufei, QIAN Chenxin, CHEN Ting, WANG Ziying, ZHAN Zhilai, LIANG Zongsuo, ZHANG Xiaodan. Metabolomics and transcriptomics-based exploration of stone-/wood-based cultivation patterns of near-wild Dendrobium officinale and accumulation patterns of pharmacologically active substances[J]. Chinese Traditional and Herbal Drugs, 2026 , 57 (19) : 7787 -7798 . DOI: 10.7501j.issn.0253-2670.2026.19.022

基金

收起

国家自然科学基金区域创新发展联合基金项目 (U25A20163); 2025年浙江省大学生科技创新活动计划 (2025R406A037)

参考文献

收起

文献

收起

参考文献引证文献

排序方式：

Chen W H, Lu J M, Zhang J H, et al. Traditional uses, phytochemistry, pharmacology, and quality control of Dendrobium officinale Kimura et. Migo [J]. Front Pharmacol, 2021, 12: 726528.
Song C, Ma J B, Li G H, et al. Natural composition and biosynthetic pathways of alkaloids in medicinal Dendrobium species [J]. Front Plant Sci, 2022, 13: 850949.
Xu X Y, Zhang C, Wang N, et al. Bioactivities and mechanism of actions of Dendrobium officinale: A comprehensive review [J]. Oxid Med Cell Longev, 2022, 2022(1): 6293355.
黄璐琦, 张瑞贤. 道地药材理论与文献研究[M]. 上海: 上海科学技术出版社, 2016: 56.
李时珍. 本草纲目[M]. 长春: 吉林大学出版社, 2009.
Gao L L, Wang F, Hou T T, et al. Dendrobium huoshanense C.Z.Tang et S.J.Cheng: A review of its traditional uses, phytochemistry, and pharmacology [J]. Front Pharmacol, 2022, 13: 920823.
王景瑄, 陈文华, 李思琦, 等. 不同栽培模式铁皮石斛可培养内生真菌菌群结构、多样性及分布规律[J]. 中草药, 2023, 54(9): 2917-2924.
段乐鹏, 谢丽琼, 马艺沔, 等. 转录因子对药用植物次生代谢的调控作用[J]. 中药材, 2021, 44(4): 1002-1007.
Barri T, Dragsted L O. UPLC-ESI-QTOF/MS and multivariate data analysis for blood plasma and serum metabolomics: Effect of experimental artefacts and anticoagulant [J]. Anal Chim Acta, 2013, 768: 118-128.
Yuan M, Breitkopf S B, Yang X M, et al. A positive/negative ion-switching, targeted mass spectrometry-based metabolomics platform for bodily fluids, cells, and fresh and fixed tissue [J]. Nat Protoc, 2012, 7(5): 872-881.
杨乐, 聂聪, 龙小琴, 等. 铁皮石斛SPL膜结合(STM)转录因子的全基因组鉴定及表达分析[J]. 广西植物, 2023, 43(6): 1041-1050.
许张婷, 郑飞雄, 邓孝汲, 等. 代谢组和转录组联合分析绿光对铁皮石斛黄酮代谢的影响[J]. 核农学报, 2026, 40(1): 25-35.
Jahan T, Huda M N, Zhang K X, et al. Plant secondary metabolites against biotic stresses for sustainable crop protection [J]. Biotechnol Adv, 2025, 79: 108520.
易善勇, 康传志, 王威, 等. 霍山石斛种植模式比较及拟境栽培的优势分析[J]. 中国中药杂志, 2021, 46(8): 1864-1868.
Ren X X, Huang Y Q, Zhang L, et al. Integrated analysis of transcriptomics and metabolomics of Dendrobium officinale flowers at different developmental stages [J]. Sci Rep, 2025, 15: 10342.
Luo Z F, Liu L, Nie Q, et al. HPLC-based metabolomics of Dendrobium officinale revealing its antioxidant ability [J]. Front Plant Sci, 2023, 14: 1060242.
Xu L, Cao M T, Wang Q C, et al. Insights into the plateau adaptation of Salvia castanea by comparative genomic and WGCNA analyses [J]. J Adv Res, 2022, 42: 221-235.
Liga S, Paul C, Péter F. Flavonoids: Overview of biosynthesis, biological activity, and current extraction techniques [J]. Plants, 2023, 12(14): 2732.
叶梅荣, 王晓鹏, 赵干, 等. 基于非靶向代谢组技术解析3种栽培模式下霍山石斛代谢成分的差异[J]. 西北农业学报, 2025(9): 1704-1713.
Rutkowska M, Balcerczak E, Świechowski R, et al. Seasonal variation in phenylpropanoid biosynthesis and in vitro antioxidant activity of Sorbus domestica leaves: Harvesting time optimisation for medicinal application [J]. Ind Crops Prod, 2020, 156: 112858.
Bao H, Bao H N, Wang Y, et al. Challenges and strategies in the industrial application of Dendrobium officinale [J]. Plants, 2024, 13(21): 2961.
Sharma A, Shahzad B, Rehman A, et al. Response of phenylpropanoid pathway and the role of polyphenols in plants under abiotic stress [J]. Molecules, 2019, 24(13): 2452.
Pradhan J, Pramanik K, Jaiswal A, et al. Biosynthesis of secondary metabolites in aromatic and medicinal plants in response to abiotic stresses: A review [J]. J Exp Bio & Ag Sci, 2024, 12(3): 318-334.
Wang J H, Zheng Q Y, Wang C X, et al. Classification of soybeans from different habitats based on metabolomic-transcriptomic integration [J]. Appl Biol Chem, 2024, 67(1): 30.
Ramirez-Estrada K, Vidal-Limon H, Hidalgo D, et al. Elicitation, an effective strategy for the biotechnological production of bioactive high-added value compounds in plant cell factories [J]. Molecules, 2016, 21(2): 182.
Olasehinde T A, Olaniran A O, Okoh A I. Therapeutic potentials of microalgae in the treatment of Alzheimer’s disease [J]. Molecules, 2017, 22(3): 480.

2026年第57卷第19期

PDF下载

引用本文

BibTeX

文章信息

doi: 10.7501j.issn.0253-2670.2026.19.022

接收时间：2026-02-03
首发时间：2026-10-29

补充材料

相关文章

文章信息

作者

出版历史

收稿日期：2026-02-03

基金

作者信息

参考文献

分享链接

https://castjournals.cast.org.cn/joweb/zcy/CN/10.7501j.issn.0253-2670.2026.19.022

分享至

全文二维码

扫描看全文

引用本文

BibTeX

本文的引用情况

2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

关闭全屏

BibTeX
EndNote
RefWorks
TxT