Evidence map›Paper›PMID 40721844›Full record

ArticleScientific reports2025

Spatiotemporal dynamics of benzylisoquinoline alkaloid gene expression and co-expression networks during Papaver Somniferum developmental stages.

Zishi Wang, Quanzheng Yun, Jinyuan Hu, Zhen Wei, Deri Feng, Ning Li, He Xu, Lihong Fu, Zhenlong Wang, Shujin Li and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Zishi Wang *School of Basic Medicine, Shenyang Key Laboratory for Phenomics, Liaoning Province Key Laboratory for Phenomics of Human Ethnic Specificity and Critical Illness (LPKL-PHESCI), Shenyang Medical College, Shenyang, 110034, China.
Quanzheng Yun *Salver Academy of Botany, Rizhao, 262300, China.
Jinyuan Hu *School of Basic Medicine, Shenyang Key Laboratory for Phenomics, Liaoning Province Key Laboratory for Phenomics of Human Ethnic Specificity and Critical Illness (LPKL-PHESCI), Shenyang Medical College, Shenyang, 110034, China.
Zhen WeiSchool of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Deri FengSchool of Basic Medicine, Shenyang Key Laboratory for Phenomics, Liaoning Province Key Laboratory for Phenomics of Human Ethnic Specificity and Critical Illness (LPKL-PHESCI), Shenyang Medical College, Shenyang, 110034, China.
Ning LiSchool of Basic Medicine, Shenyang Key Laboratory for Phenomics, Liaoning Province Key Laboratory for Phenomics of Human Ethnic Specificity and Critical Illness (LPKL-PHESCI), Shenyang Medical College, Shenyang, 110034, China.
He XuSchool of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Lihong FuCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Hebei Medical University, Shijiazhuang, 050017, China.
Zhenlong WangSchool of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Shujin LiCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Hebei Medical University, Shijiazhuang, 050017, China.
Fangru LiuSchool of Basic Medicine, Shenyang Key Laboratory for Phenomics, Liaoning Province Key Laboratory for Phenomics of Human Ethnic Specificity and Critical Illness (LPKL-PHESCI), Shenyang Medical College, Shenyang, 110034, China.
Yan WangSchool of Basic Medicine, Shenyang Key Laboratory for Phenomics, Liaoning Province Key Laboratory for Phenomics of Human Ethnic Specificity and Critical Illness (LPKL-PHESCI), Shenyang Medical College, Shenyang, 110034, China.
Bin CongCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, Hebei Medical University, Shijiazhuang, 050017, China. hbydcongbin@126.com.
Baishi WangSchool of Basic Medicine, Shenyang Key Laboratory for Phenomics, Liaoning Province Key Laboratory for Phenomics of Human Ethnic Specificity and Critical Illness (LPKL-PHESCI), Shenyang Medical College, Shenyang, 110034, China. wangbs1018@symc.edu.cn.

Funding

National Natural Science Foundation of China 81671876Science and technology plan projects in Liaoning Province 2023-MS-329the Key Laboratory of Forensic Genetics, Ministry of Public Security Open Research Project 2022FGKFKT02
6 · The paper itself

Abstract

Benzylisoquinoline alkaloids (BIAs) are essential secondary metabolites produced by Papaver somniferum, widely recognized for their pharmaceutical importance. This study employs transcriptome sequencing and weighted gene co-expression network analysis (WGCNA) to investigate the spatiotemporal expression patterns and regulatory networks of BIA-related genes across developmental stages and organs. A total of 23 co-expression modules were identified, revealing stage- and organ-specific dynamics in BIA biosynthesis. Key genes such as TYDC, PPO, and GsSRK demonstrated distinct regulatory roles during flowering and fruit maturation. Functional enrichment analysis uncovered critical pathways and transcription factors involved in alkaloid production. These findings enhance our understanding of the molecular regulation of BIAs and provide valuable insights for improving alkaloid yield through metabolic engineering and molecular breeding strategies.

Indexed as

AlkaloidsBenzylisoquinolinesGene Expression Regulation, PlantGene Regulatory NetworksPapaverFruitGene Expression ProfilingGene Expression Regulation, DevelopmentalPlant ProteinsTranscriptomeAlkaloidsBenzylisoquinolinesPlant ProteinsBenzylisoquinoline alkaloids (BIAs)Co-expression networksPapaver somniferumSecondary metabolismTranscriptomicsWeighted gene co-expression network analysis (WGCNA)

Identifiers

PMID40721844
PMCPMC12304105

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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.