Metabolomics

Dataset Information

0

Integrative multi-omics, HPLC fingerprinting and machine learning reveal distinct differences among three Dendrobium species from the Dabie Mountains


ABSTRACT: Dendrobium species are widely used in traditional Chinese medicine owing to their medicinal and nutritional value, yet the phytochemical diversity and molecular mechanisms underlying theirbioactivities remain poorly understood. To elucidate these traits, we performed an integrative multi-omics study combining metabolomics and transcriptomics on three species, D. huoshanense, D. officinale, and D. moniliforme from the Dabie Mountains in Central China, with emphasis on flavonoid metabolism, particularly apigenin derivatives. Among 470 shared metabolites, quantitative profiling revealed distinct accumulation patterns between stems and leaves. Transcriptomic analysis uncovered species- and tissue-specific regulatory networks governing flavonoid biosynthesis. Complementary HPLC-DAD fingerprinting of stems, leaves, roots, and flowers was established and rigorously validated, with 18 common peaks annotated. VIP analysis identified tissue-specific chemical markers for quality assessment. Apigenin-6-C-α-L-arabinoside-8-C-β-D-xyloside and apigenin-6-C-α-L-rhamnosyl-(12)-β-D- glucoside-8-C-α-L-arabinoside were predominant in D. huoshanense stems, while flowers accumulated high levels of flavonoids such as rutin and vicenin-1 and displayed superior anti-inflammatory activity. Comprehensive nutritional profiling quantified total carbohydrates, polysaccharides, monosaccharides, fatty acids, amino acids, minerals, and vitamins across plant organs. Machine learning integration of multi-omics data delineated key molecular signatures distinguishing the three Dendrobium species from the Dabie Mountains. Together, this work provides a multidimensional resource that advances the biochemical understanding of Dendrobium, supports species and tissue discrimination, and informs quality control and utilization of both medicinal and edible plant parts.

INSTRUMENT(S): Liquid Chromatography MS - positive - hilic, Liquid Chromatography MS - negative - hilic

PROVIDER: MTBLS14876 | MetaboLights | 2026-06-28

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
a_MTBLS14876_LC-MS_negative_hilic.txt Txt
a_MTBLS14876_LC-MS_positive_hilic.txt Txt
i_Investigation.txt Txt
m_MTBLS14876_LC-MS_negative_hilic_v2_maf.tsv Tabular
m_MTBLS14876_LC-MS_positive_hilic_v2_maf.tsv Tabular
Items per page:
1 - 5 of 6

Similar Datasets

| PRJNA1121055 | ENA
2023-10-02 | MTBLS7978 | MetaboLights
2026-04-16 | PXD077291 |
2022-05-31 | GSE184090 | GEO
2026-01-16 | MTBLS13314 | MetaboLights
2025-03-25 | GSE290673 | GEO
2021-05-06 | PXD021875 | Pride
2020-03-23 | GSE122570 | GEO
| PRJNA576944 | ENA
2019-01-07 | GSE124762 | GEO