Evidence map›Paper›PMID 41893335›Full record

ArticleMetabolites2026

Integrative Transcriptome and Metabolome Analysis Reveals the Regulatory Networks and Key Biosynthetic Pathway Genes of Wild and Cultivated

Juanjuan Liu, Jialing Zhang, Yiyang Chen, Ke Li, Xiaohui Ma, Xiaobo Zhang, Ling Jin

Abstract read
In one paragraph

Article in Metabolites, 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
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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

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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

7 authors.

Juanjuan LiuSchool of Pharmacy, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China.ORCID 0009-0001-8811-5309
Jialing ZhangSchool of Pharmacy, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China.
Yiyang ChenSchool of Pharmacy, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China.
Ke LiSchool of Pharmacy, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China.ORCID 0000-0001-7158-5366
Xiaohui MaSchool of Pharmacy, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China.
Xiaobo ZhangState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Ling JinSchool of Pharmacy, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China.

Funding

China Agriculture Research System of MOF and MARA CARS-21Gansu Province Science and Technology Plan Project: Major Science and Technology Special 23ZDFA013-1Gansu Provincial Rare Traditional Chinese Medicine Resources Evaluation and Protection and Utilization Engineering Research Center Open Fund GSZXZY202203Gansu Provincial Science and Technology Plan Project: Science and Technology Special Touring Special 23CXNA0042Improvement of traditional Chinese medicine guarantee and innovation capabilities (State Administration of Traditional Chinese Medicine), Scientific and technological innovation project of China Academy of Chinese Medical CI2024E003Innovation Center for Traditional Chinese Medicine Co-constructed by Gansu Province & MOE of PRC, Strategic Research and Consulting Project of China Academy of Engineering GS2021ZDA06
6 · The paper itself

Abstract

objectives

methodsThis study utilized untargeted metabolomics and transcriptomics to reveal differentially accumulated metabolites (DAMs) and differentially expressed genes (DEGs) between wild and cultivated.

resultsThe metabolomics profiling revealed 25,587 DAMs (

conclusionsThese approaches aim to explore the consistency of medicinal quality between the two sources across different habitats and to develop cultivated gentian as a full substitute for its wild counterpart in medicinal value. This strategy will fundamentally alleviate the predatory harvesting pressure on wild resources, ease their depletion, provide a theoretical basis for further development and protection of wild species of

Indexed as

cultivatedGentiana macrophylla (Gentianaceae)Iridoidsmedicinal valuemulti-omicswild

Identifiers

PMID41893335
PMCPMC13028276

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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.