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Single-cell RNA sequencing of developing maize ears facilitates functional analysis and trait candidate gene
Xiaosa Xu1, Megan Crow1, Brian R Rice2
1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Developmental Cell
|January 5, 2021
Summary
Researchers mapped maize ear development using single-cell RNA sequencing, creating a detailed atlas of cell types and gene networks. This resource aids in understanding plant architecture and improving crop yield traits.
Area of Science:
- Plant biology
- Genomics
- Developmental biology
Background:
- Crop productivity relies on meristem activity for optimal plant architecture, such as the maize ear.
- Understanding maize ear development requires detailed knowledge of cell types, developmental domains, and gene networks.
- Classical genetics and morphology have limitations in fully characterizing these complex developmental processes due to genetic redundancy and pleiotropy.
Purpose of the Study:
- To create a comprehensive single-cell transcriptional atlas of developing maize ears.
- To identify diverse cell types and developmental domains within the maize inflorescence.
- To establish a foundation for understanding gene networks governing maize ear development and facilitating genetic studies.
Main Methods:
- Single-cell RNA sequencing (scRNA-seq) of 12,525 individual cells from developing maize ears.
- Validation using mRNA in situ hybridization.
- Further validation and data integration through fluorescence-activated cell sorting (FACS) RNA-seq.
Main Results:
- Generation of a high-resolution single-cell atlas of maize inflorescence development.
- Identification of distinct cell populations and their transcriptional profiles.
- Demonstration of the atlas's utility in predicting genetic redundancy and identifying candidate genes for crop yield.
Conclusions:
- The developed atlas provides unprecedented insight into maize ear development at the single-cell level.
- This scRNA-seq resource can significantly advance genetic studies by overcoming limitations of previous methods.
- The findings facilitate the identification of genes crucial for improving maize architecture and overall crop productivity.

