Evidence map›Paper›PMID 40419957›Full record

ArticleBMC genomics2025

Transcriptomic analysis of wild Cannabis sativa: insights into tissue- and stage-specific expression and secondary metabolic regulation.

Jinyuan Hu, Zishi Wang, He Xu, Zhenlong Wang, Ning Li, Rui Feng, Jianyu Yin, Fangru Liu, Baishi Wang

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

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.
Zishi Wang *School of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China.
He XuSchool of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Zhenlong WangSchool of Life Sciences, Zhengzhou University, Zhengzhou, 450001, 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.
Rui 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.
Jianyu YinSchool 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.
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.
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

Science and technology plan projects in Liaoning province 2023-MS-329The Fundamental Research Funds for the Central Public Welfare Research Institutes 2021JB002The Key Laboratory of Forensic Genetics, Ministry of Public Security Open Research Project 2022FGKFKT02
6 · The paper itself

Abstract

Cannabis sativa is a medicinally and economically significant plant known for its production of cannabinoids, terpenoids, and other secondary metabolites. This study presents a transcriptomic analysis to elucidate tissue-specific expression and regulatory mechanisms across leaves, stems, and roots. A total of 2,530 differentially expressed genes (DEGs) were identified, with key genes such as terpene synthase (TPS) and phenylalanine ammonia-lyase (PAL) exhibiting elevated expression in leaf tissues, emphasizing their roles in terpenoid and phenylpropanoid biosynthesis. Alternative splicing (AS) analysis revealed 8,729 distinct events, dominated by exon skipping, contributing to transcriptomic diversity. Long non-coding RNA (lncRNA) prediction identified 3,245 candidates, many of which displayed tissue-specific expression patterns and co-expression with metabolic genes, suggesting regulatory roles in secondary metabolism. Additionally, 12,314 SNPs and 2,786 INDELs were detected, with notable enrichment in genes associated with secondary metabolite biosynthesis, particularly in leaf tissues. These findings advance the understanding of molecular mechanisms governing secondary metabolism and genetic diversity in C. sativa, providing valuable insights for future metabolic engineering and breeding strategies to enhance cannabinoid production.

Indexed as

CannabisGene Expression ProfilingGene Expression Regulation, PlantSecondary MetabolismTranscriptomeAlternative SplicingOrgan SpecificityPlant LeavesPlant ProteinsPolymorphism, Single NucleotideRNA, Long NoncodingPlant ProteinsRNA, Long NoncodingAlternative splicingCannabis sativaGenetic variation.Secondary metabolismTranscriptomics

Identifiers

PMID40419957
PMCPMC12105235

What Socratic 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 Socratic graph.