Related Experiment Video
Updated: Nov 12, 2025

08:33
Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants
Published on: August 5, 2020
8.4K
Genome-wide analysis of spatiotemporal expression patterns during rice leaf development.
Masayuki Miya1, Takanori Yoshikawa2, Yutaka Sato3
1Graduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, 113-8657, Japan.
BMC Genomics
|March 22, 2021
Summary
Understanding rice leaf development requires exploring gene expression across distinct leaf regions. This study profiles gene activity to identify key genes involved in rice and grass leaf formation, aiding future research.
Area of Science:
- Plant Biology
- Molecular Genetics
- Developmental Biology
Background:
- Rice leaves have three distinct regions: blade, sheath, and boundary.
- Genetic programs for these regions are poorly understood.
- Genome-wide analysis is crucial for rice leaf development insights.
Purpose of the Study:
- To elucidate rice leaf development through genome-wide transcriptional profiling.
- To discover genes with unique functions in rice and grasses.
- To analyze spatial and temporal gene expression patterns.
Main Methods:
- Microarray analysis of dissected rice leaf regions.
- Sampling across broad developmental stages.
- Gene expression data combined with in situ hybridization.
Main Results:
- Transcriptomes changed dramatically during tissue differentiation.
- Leaf blade and sheath transcriptomes differed significantly at maturity.
- Identified novel genes with localized expression in rice/grass tissues.
- Cluster analysis revealed gene groups involved in specific developmental processes.
Conclusions:
- Eudicot leaf development models are not directly applicable to rice.
- Provides valuable expression profiles for gene discovery in rice.
- Identified genes may elucidate unique developmental mechanisms in grasses.
Keywords:
Blade-sheath boundaryIn situ hybridizationLeaf bladeLeaf developmentLeaf sheathRiceTranscriptome
