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Updated: Apr 28, 2026
08:53
Isolation and Transcriptome Analysis of Plant Cell Types
Published on: April 7, 2023
2.3K
Single-cell insights into plant growth, adaptation, and evolution
Fanhua Wang1,2, Fazhen Wang2, Yue Wu2
1College of Life Sciences, Shandong Normal University, Jinan, 250014, China.
Journal of Integrative Plant Biology
|April 27, 2026
Summary
Single-cell multi-omics reveal crop complexity. These advanced methods map cell-specific gene regulation for development, stress, and evolution, aiding crop improvement.
Area of Science:
- Plant Science
- Genomics
- Developmental Biology
Background:
- Traditional bulk-tissue analyses overlook cellular heterogeneity in plants.
- Single-cell technologies offer higher resolution for dissecting plant complexity.
Purpose of the Study:
- To review single-cell multi-omics approaches for characterizing crop regulatory landscapes.
- To explore applications in crop development, stress response, and evolution.
- To identify cell-type-specific programs for agronomic traits and developmental trajectories.
Main Methods:
- Integrating transcriptomics, epigenomics, and spatial omics.
- Applying single-cell tools across the crop life cycle.
- Analyzing plant responses to abiotic and biotic stresses.
Main Results:
- Single-cell multi-omics can identify cell-type-specific programs for key agronomic traits.
- These approaches provide insights into developmental trajectories and cell type evolution.
- The study highlights the utility of single-cell tools in understanding stress responses.
Conclusions:
- Single-cell multi-omics are powerful for dissecting crop complexity and regulatory landscapes.
- Challenges include protoplast isolation, data integration, and scalability.
- Future directions involve machine learning and spatial transcriptomics for functional genomics and crop improvement.
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