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Updated: Nov 9, 2025

Isolation and Transcriptome Analysis of Plant Cell Types
Published on: April 7, 2023
Comparative Analyses of Full-Length Transcriptomes Reveal Gnetum luofuense Stem Developmental Dynamics
Chen Hou1,2, Huiming Lian1,2, Yanling Cai1,2
1Guangdong Provincial Key Laboratory of Silviculture, Protection and Utilization, Guangdong Academy of Forestry, Guangzhou, China.
This study decodes the molecular basis of stem development in Gnetum luofuense using full-length transcriptomes. It reveals dynamic alternative splicing events and identifies key transcription factors involved in primary and secondary growth.
Area of Science:
- Plant Molecular Biology
- Transcriptomics
- Developmental Biology
Background:
- The genus Gnetum, known for its industrial applications, has poorly understood molecular mechanisms regulating stem development.
- Previous research focused on anatomical structures, leaving molecular pathways largely unexplored.
Purpose of the Study:
- To investigate the molecular mechanisms underlying stem development in Gnetum luofuense.
- To identify key genes and regulatory elements involved in primary and secondary growth stages.
Main Methods:
- Generation of 12 full-length transcriptomes from four stem developmental stages of Gnetum luofuense using Oxford Nanopore Technologies.
- Analysis of alternative splicing (AS), alternative polyadenylation (APA), and long non-coding RNA (lncRNA) expression.
- Application of K-means clustering and weighted gene co-expression network analysis (WGCNA).
Main Results:
- Discovery of 24,151 AS events and 134,391 APA events, with dynamic AS patterns observed, particularly intron retentions.
- Identification of 728 lncRNAs, with a significant increase in cis-regulated target genes.
- Association of primary growth with carbohydrate metabolism and fungi defense, and secondary growth with photosynthesis and nitrogen transport.
- Pinpointing of transcription factors like bHLH, GRF, MYB, AP2/ERF, NAC, PLAZ, and bZIP in distinct growth phases.
Conclusions:
- Nanopore sequencing offers a cost-effective method for generating full-length transcriptome data for seed plant organ development studies.
- This research provides crucial insights into the molecular regulation of Gnetum stem development, highlighting the roles of AS, lncRNAs, and specific transcription factors.
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