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Related Concept Videos

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

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A single-cell-resolution spatial transcriptomic atlas decodes wheat spike development and yield potential.

Xiang Zhang1, Yi Peng Wang1, Xiehai Song2

  • 1State Key Laboratory of Wheat Improvement, College of Life Sciences, Shandong Agricultural University, Tai'an, Shandong 271018, China.

Molecular Plant
|December 24, 2025
PubMed
Summary
This summary is machine-generated.

This study maps wheat spike development using spatial transcriptomics, identifying key cell types and gene networks regulating grain yield. Findings offer insights for breeding improved wheat varieties.

Keywords:
gene regulatory networksgrain yieldphytohormone signalingsingle-cell RNA sequencingspatial transcriptomicswheat spike development

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Area of Science:

  • Plant Molecular Biology
  • Agricultural Science
  • Genomics

Background:

  • Wheat grain yield is heavily influenced by spike development, but its molecular regulation is not fully understood.
  • Understanding these mechanisms is crucial for improving wheat production and food security.

Purpose of the Study:

  • To comprehensively map the spatiotemporal transcriptome during wheat spike development at single-cell resolution.
  • To identify key cell types, signaling pathways, and gene regulatory networks governing spike morphogenesis and grain yield.

Main Methods:

  • Spatial transcriptomic analysis with single-cell resolution across five developmental stages.
  • Integration of snRNA-seq, gene regulatory relationships, and GWAS data.
  • Development of a public online platform for data visualization.

Main Results:

  • Identified nine distinct cell types and mapped their spatiotemporal distribution of hormonal and metabolic signaling.
  • Revealed the crucial role of rachis cells in nutrient supply and identified spikelet primordium base cells influencing grain number.
  • Constructed a co-expression regulatory network and identified a key gene module regulating multiple spike traits.

Conclusions:

  • Provides a comprehensive molecular framework for early wheat spike development.
  • Offers valuable genetic resources and public data for functional genomics and breeding efforts.
  • Implications for optimizing spike architecture and enhancing wheat grain yield potential.