ArticleBMC genomics2025
Transcriptomic analysis of wild Cannabis sativa: insights into tissue- and stage-specific expression and secondary metabolic regulation.
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.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- Towards an Omics-Guided Framework for Microbial Biological Control of Fungal and Oomycete Diseases inInternational journal of molecular sciences · 2026Review
- Long non-coding RNA landscape and ceRNA networks underlying the drought response of Cannabis sativa L.BMC plant biology · 2026Article
- The curious origins of a high-stress training technique mainlining: its molecular, biochemical, and agronomic perspectives for the cultivation of Cannabis sativa.Journal of cannabis research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
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.
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Registered trials
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.