ArticlePlant biotechnology journal2025
Spatial Transcriptomics of Developing Wheat Seed Reveals Concentric Gene Expression Zones and Subgenome Biased Expression of Key Genes.
Article in Plant biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Going against the grain: Investigating C4 photosynthesis in the wheat grain with spatial transcriptomics.BMC plant biology · 2026Article
- The potential of wheat spatial omics.Nature genetics · 2026Review
- Towards a Holistic View of the Orchestration Between Sugar Transporters in Cereal Crops.Plants (Basel, Switzerland) · 2026Article
- Seed function in space and time: how spatial transcriptomics completes the picture.Frontiers in plant science · 2026Review
- Poly pipeline: a polyvalent spatial transcriptomics workflow validated across polyploid and diploid organisms.GigaByte (Hong Kong, China) · 2026Article
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Authors and funding
8 authors.
Funding
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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