Related Experiment Video
Updated: Sep 9, 2025
07:18
Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
7.5K
Spatial Transcriptomics of Developing Wheat Seed Reveals Concentric Gene Expression Zones and Subgenome Biased
Tori Millsteed1,2, David Kainer2, Robert Sullivan3
1Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland, St Lucia, Queensland, Australia.
Plant Biotechnology Journal
|September 4, 2025
Summary
Spatial transcriptomics reveals gene expression patterns in developing wheat seeds. This study maps gene activity within seed tissues, uncovering distinct endosperm zones and subgenome expression biases for key genes.
Area of Science:
- Plant Biology
- Genomics
- Molecular Biology
Background:
- Seed development is crucial for nutrient storage, stress tolerance, and germination.
- The spatial organization of gene expression within complex seed structures is poorly understood.
- Understanding gene expression dynamics is key to improving crop yield and quality.
Purpose of the Study:
- To visualize spatial gene expression patterns in developing wheat seeds using spatial transcriptomics.
- To identify gene expression clusters and functional cellular groups within the wheat seed.
- To investigate subgenome-biased gene expression in polyploid wheat.
Main Methods:
- Utilized the STOmics spatial transcriptomics platform.
- Analyzed over 4,000,000 spatially resolved transcripts from wheat seeds at mid-development (14 DPA).
- Achieved subcellular resolution of transcript localization across multiple tissue domains.
Main Results:
- Identified eight functional cellular groups based on gene expression clusters.
- Characterized four distinct concentric endosperm zones with novel marker gene candidates.
- Detected subgenome biased expression for puroindoline-B, metallothionein protein, and α-amylase/subtilisin inhibitor genes.
Conclusions:
- Provides unprecedented spatial detail of gene expression in developing wheat seeds.
- Demonstrates the potential of spatial transcriptomics to unravel subgenome differences in polyploids.
- Offers a valuable dataset for future research on wheat grain filling and seed development.
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