Evidence map›Paper›PMID 41792609›Full record

ArticleBMC genomics2026

Integrated transcriptomic and metabolomic analyses reveal light-quality-dependent regulation of specialized metabolism in Pseudostellaria heterophylla.

Lin Tang, Yang Yang, Jinghong Jiang, Hua He, Jiwen Liu, Qian Xu, Guoping Shu

Abstract read
In one paragraph

Article in BMC genomics, 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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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

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4 · The record

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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.

Lin TangGuizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Yang YangGuizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Jinghong JiangGuizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Hua HeGuizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Jiwen LiuGuizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Qian XuGuizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Guoping ShuGuizhou University of Traditional Chinese Medicine, Guiyang, 550025, China. gpshu2022@163.com.

Funding

Doctoral Research Start-up Fund of Guizhou University of Traditional Chinese Medicine [2022]16Guizhou Provincial Basic Research Program (Natural Science) Qian ke He Ji Chu-ZK [2023] Yi Ban 421Guizhou Provincial Science and Technology Project Qian Ke He Ji Chu-ZK[2022] Yi Ban 464Youth Science and Technology Talent Growth Project of Guizhou Provincial Department of Education Grant No. Qianjiaoke [2024]109
6 · The paper itself

Abstract

Pseudostellaria heterophylla is a medicinal and edible plant whose tuberous roots accumulate diverse bioactive metabolites. Light quality is a key environmental signal regulating plant metabolism, but its role in P. heterophylla remains unclear. Here, we integrated transcriptomic and widely targeted metabolomic analyses of in vitro–grown tuberous roots exposed to red, blue, and white light. Distinct light-dependent transcriptional and metabolic patterns were detected. Red light mainly enhanced primary metabolism, particularly amino acid-related pathways, while suppressing several specialized metabolites. In contrast, blue light strongly promoted phenylpropanoid- and flavonoid-related metabolites, whereas white light yielded a more balanced metabolic profile. Integrated pathway enrichment and correlation analyses identified the phenylpropanoid and flavonoid network as a central hub of spectral regulation. Overall, these results provide a systems-level view of light-quality-driven metabolic reprogramming in P. heterophylla and a mechanistic basis for optimizing LED spectral strategies in tissue culture and controlled cultivation systems.

Indexed as

CaryophyllaceaeGene Expression ProfilingLightMetabolomeMetabolomicsTranscriptomeBlue LightFlavonoidsGene Expression Regulation, PlantMultiomicsPlant RootsRed LightFlavonoidsLight qualityMetabolomePhenylpropanoid–flavonoid pathwayPseudostellaria heterophyllaSpecialized metabolismTranscriptome

Identifiers

PMID41792609
PMCPMC13081463

What Socratic holds

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LicenceCC BY
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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 Socratic graph.