Spatial Transcriptomics of Developing Wheat Seed Reveals Concentric Gene Expression Zones and Subgenome Biased Expression of Key Genes

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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Publication Details

Journal
Plant Biotechnology Journal
Published
2025-09-04
DOI
https://doi.org/10.1111/pbi.70351
Citations
3
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
5.25

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article

Spatial Transcriptomics of Developing Wheat Seed Reveals Concentric Gene Expression Zones and Subgenome Biased Expression of Key Genes

Andrew Macdonald, Ka Leung Li, Xiaohuan Sun, Robert James Henry et al.
3 citations
Plant Biotechnology Journal
Wheat and Barley Genetics and Pathology
5.25
article

Spatial Transcriptomics of Developing Wheat Seed Reveals Concentric Gene Expression Zones and Subgenome Biased Expression of Key Genes

Andrew Macdonald, Ka Leung Li, Xiaohuan Sun, Robert James Henry, David Kainer, R Sullivan, Likai Mao, Tori Millsteed
article en
3 citations

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.

Plant Biotechnology JournalVol. 23(12)
Queensland Health (AU), The University of Queensland (AU), QIMR Berghofer Medical Research Institute (AU), ARC Centre of Excellence for Plant Success in Nature and Agriculture (AU)
University of Queensland, Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture
Openalex Percentile: Top 5%
Wheat and Barley Genetics and Pathology
5.25
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