Evidence map›Paper›PMID 42249283›Full record

ArticleBMC plant biology2026

Integrated metabolomics and transcriptomics reveal metabolite differences between wild and cultivated Angelica sinensis.

Qiman Zeng, Meihui Gong, Rulan Jiang, Jieyu Lei, Zifeng Chen, Huimin Wu, Lianhu Sun, Xinjun Xu, Wenli Chen

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Qiman Zeng *School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Meihui Gong *Cardiovascular Disease Center, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, China.
Rulan Jiang *School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Jieyu LeiSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Zifeng ChenSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China.
Huimin WuDepartment of Pharmacy, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, China.
Lianhu SunAgricultural Science Research Institute of Longnan, Longnan, Gansu, 746000, China. sun2265103@126.com.
Xinjun XuSchool of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, 510006, China. xxj2702@sina.com.
Wenli ChenDepartment of Pharmacy, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, 519000, China. chenwenl@mail3.sysu.edu.cn.

Funding

National Key Research and Development Program for Young Scientists of China 2023YFD1601400
6 · The paper itself

Abstract

backgroundAngelica sinensis (Oliv.) Diels, a traditional Chinese herb widely used in food and medicine, predominantly grows in high-altitude regions under wild conditions. With the scarcity of wild resources, cultivated Angelica sinensis has garnered growing attention in recent years. However, the metabolic disparities and regulatory mechanisms between wild and cultivated A. sinensis remain poorly understood.

resultsThis study employed an integrated transcriptomic and metabolomic approach to compare their metabolic profiles and biosynthetic pathways. Metabolomic profiling revealed 131 differentially accumulated metabolites (DAMs) primarily enriched in fatty acid metabolism, amino acid biosynthesis, and secondary metabolite biosynthesis, with wild A. sinensis displaying significantly elevated levels of these compounds compared to the cultivated counterpart. Transcriptome analysis found 18,993 differentially expressed genes (DEGs), with 9 key structural genes involved in fatty acid, amino acid, and phenylpropanoid biosynthesis being differentially regulated.

conclusions9 core structural genes (tktA, metE, GOT1, GOT2, ADT, ACX, PAL, 4CL, and CCR) potentially underlie the chemical compositional disparities observed between wild and cultivated A. sinensis. These findings advance our understanding of the molecular basis for metabolic adaptation in this potential industrial crop.

Indexed as

Angelica sinensisMetabolomeTranscriptomeGene Expression ProfilingMetabolomicsAngelica sinensisCore genesCorrelation analysisMetabolitesTranscriptomics

Identifiers

PMID42249283
PMCPMC13459639

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.