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Updated: Sep 9, 2025

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
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.
Abstract:
Gene expression of developing seeds drives essential processes such as nutrient storage, stress tolerance and germination. However, the spatial organisation of gene expression within the complex structure of the seed remains largely unexplored. Here we report the use of the STOmics spatial transcriptomics platform to visualise spatial expression patterns in the wheat (Triticum aestivum) seed at the critical period of grain filling in mid-seed development. We analysed > 4 000 000 spatially resolved transcripts, achieving subcellular resolution of transcript localisation across multiple tissue domains, and identified gene expression clusters linked to eight functional cellular groups. Notably, our analysis characterised four distinct clusters within the endosperm, appearing in concentric zones from the inner to outer regions of the grain, and identified novel marker gene candidates for the clusters found. We further investigated known tissue-specific genes and identified subgenome biased expression for the genes puroindoline-B, metallothionein protein, and α-amylase/subtilisin inhibitor. These findings provide new detail about gene expression across and within different functional cellular groups of the developing seed and demonstrate that spatial transcriptomics could further our understanding of subgenome differences in polyploid plants. Furthermore, this dataset offers a significant resource of spatial gene expression in the 14 DPA wheat seed and will support future research on grain filling.
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