Evidence map›Paper›PMID 42821537›Full record

ArticlePloS one2026

Multi-omics integration reveals tissue-specific biosynthesis of sesquiterpenoids in the medicinal plant Eupatorium lindleyanum.

Yingzhe Wang, Pan Jiang, Jiaqiu Yuan, Jinghan Wu, Yue Zhang, Kun Guo

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Article in PloS one, 2026. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yingzhe WangSchool of Pharmacy, Jiangsu Food and Pharmaceutical Science College, Huaian, China.ORCID https://orcid.org/0000-0002-8782-1068
Pan JiangSchool of Pharmacy, Jiangsu Food and Pharmaceutical Science College, Huaian, China.
Jiaqiu YuanSchool of Pharmacy, Jiangsu Food and Pharmaceutical Science College, Huaian, China.
Jinghan WuCollege of Traditional Chinese Medicine, Jilin Agricultural Science and Technology College, Jilin City, China.
Yue ZhangSchool of Pharmaceutical Engineering, Jiangsu Food and Pharmaceutical Science College, Huaian, China.
Kun GuoSchool of Pharmaceutical Engineering, Jiangsu Food and Pharmaceutical Science College, Huaian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEupatorium lindleyanum is a medicinal plant rich in bioactive sesquiterpenoids, yet the genetic and regulatory basis underlying their biosynthesis remains completely unexplored. In particular, the marked tissue-specific accumulation of these compounds-abundant in aerial organs but scarce in roots-lacks a molecular explanation.

resultsHere, we integrated UPLC-MS/MS-based metabolomics with RNA-Seq transcriptomics to comprehensively profile sesquiterpenoid metabolites and their associated gene expression signatures across root, stem, leaf, and flower tissues of Eupatorium lindleyanum. A total of 321 sesquiterpenoids were identified, exhibiting distinct tissue-specific accumulation patterns with highest abundance in flower, followed by leaf. Comparative analysis revealed 299 differentially accumulated sesquiterpenoid metabolites (DSMs), which were clustered into three major groups with preferential accumulation in leaf (Cluster 1), flower (Cluster 2), and root (Cluster 3). Transcriptome sequencing generated 99.43 Gb of clean data, yielding 147743 unigenes. Integration of metabolomic and transcriptomic datasets screened 20 structural genes (88 unigenes) involved in sesquiterpenoid biosynthesis, including MVA pathway genes (ACAT, HMGCS, HMGCR, MVK, PMK, MVD), MEP pathway genes (dxs, dxr, ispD, ispE, ispF, ispG, ispH), and downstream modification genes (FDPS, IDI, GAS, GDS, NES1, GAO, FLDH). Weighted gene co-expression network analysis (WGCNA) further prioritized hub genes within modules significantly correlated with key sesquiterpenoids. Additionally, five transcription factor families (AP2/ERF, NAC, WRKY, MYB, and bHLH) were identified as potential regulators based on strong correlations with DSMs accumulation.

conclusionsThis study provides the first comprehensive view of tissue-specific sesquiterpenoid biosynthesis in Eupatorium lindleyanum, establishing a prioritized set of candidate genes and regulators for functional validation. Our findings offer a foundational resource for metabolic engineering and molecular breeding aimed at enhancing the production of pharmacologically active sesquiterpenoids in this medicinal species.

Indexed as

Plants, MedicinalSesquiterpenesFlowersGene Expression ProfilingGene Expression Regulation, PlantMetabolomicsMultiomicsOrgan SpecificityPlant LeavesPlant RootsTranscriptomeSesquiterpenes

Identifiers

PMID42821537
PMCPMC13630220

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.