ArticleGenome biology2025
Spatiotemporal transcriptomics reveals key gene regulation for grain yield and quality in wheat.
Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Unlocking the full potential of spatial omics in plants: practical challenges, solutions, and a path forward.The Plant cell · 2026Review
- Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026Review
- Wheat's war against stripe rust: Integrating host immunity, genomics and breeding for durable resistance.The plant genome · 2026Review
- Transcriptional networks shaping malting quality in barley: From grain development to brewing performance.Food chemistry. Molecular sciences · 2026Review
- Research progress on rapid detection technology of soybean phenotypic indicators under saline-alkali stress.Planta · 2026Review
- The potential of wheat spatial omics.Nature genetics · 2026Review
- Laminar patterning transcription factors orchestrate spatial metabolite partitioning in Capsicum fruit.Nature plants · 2026Article
- Author Correction: Spatiotemporal transcriptomics reveals key gene regulation for grain yield and quality in wheat.Genome biology · 2026Article
- A Multidimensional Approach to Cereal Caryopsis Development: Insights into Adlay (Plants (Basel, Switzerland) · 2026Article
- Cross-Kingdom Synthetic Microbiota Suppresses Wheat Fusarium Crown Rot by Remodeling the Rhizosphere Microbiome and Metabolome.Journal of agricultural and food chemistry · 2026Article
- Towards a Holistic View of the Orchestration Between Sugar Transporters in Cereal Crops.Plants (Basel, Switzerland) · 2026Article
- Imputation integrates single-cell and spatial gene expression data to resolve transcriptional networks in barley shoot meristem development.Nature plants · 2026Article
- Seed function in space and time: how spatial transcriptomics completes the picture.Frontiers in plant science · 2026Review
- Integrated Multi-Omics Reveals the Molecular Basis Underlying Wheat Grain Development and IdentifiesPlants (Basel, Switzerland) · 2025Article
- Why "Where" Matters as Much as "How Much": Single-Cell and Spatial Transcriptomics in Plants.International journal of molecular sciences · 2025Review
- Spatial Transcriptomics of Developing Wheat Seed Reveals Concentric Gene Expression Zones and Subgenome Biased Expression of Key Genes.Plant biotechnology journal · 2025Article
- Genome-Wide Identification and Expression Analysis of the AS2/LOB Transcription Factor Family inGenes · 2025Article
- Gene Expression ofACS omega · 2025Article
- Opportunities and challenges in the application of spatiotemporal transcriptomics in plant research.Frontiers in plant science · 2025Review
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
Abstract
backgroundCereal grain size and quality are critical agronomic traits in crop production. Wheat grain development is governed by intricate regulatory networks that require precise spatiotemporal coordination of gene expression to establish functional compartments in different cell types.
resultsHere, we perform a spatial transcriptomics study covering the early stages of wheat grain development, from 4 to 12 days after pollination. We classify the grain into 10 distinct cell types and identify 192 marker genes associated with them. WGCNA analysis reveals that highly expressed genes in different cell types exhibit distinct enrichment patterns, significantly influencing grain development and filling. Through co-expression and motif analyses, we identify a specific group of genes that may regulate wheat grain development, including TaABI3-B1, a transcription factor specifically expressed in the embryo and surrounding endosperm, which negatively affects embryo and grain size.
conclusionsThis study presents a comprehensive spatiotemporal transcriptional dataset for understanding wheat grain development. Additionally, it identifies key genetic resources with potential applications for improving wheat yield.
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