bioRxivPlant BiologyPreprint
Decoding cellular transcriptional regulatory networks governing wheat inflorescence development
Xuemei LiuiD, Xuelei LiniD, Jingmin KangiD, Katie LongiD, Jingjing YueiD, Chuan CheniD, Dongzhi WangiD, Ashleigh ListeriD, Iain C. MacaulayiD, Xin LiuiD, Cristóbal UauyiD, Jun XiaoiD
Abstract
Wheat inflorescence architecture, particularly spikelet and floret development, is critical for grain yield. To decode the cellular transcriptional regulatory network (cTRN) underlying wheat inflorescence development, we integrated multiple single-cell omics technologies to construct a spatiotemporal atlas of transcriptional and chromatin accessibility dynamics. This comprehensive analysis identified 20 cell types, 7,211 cell type-specific genes and 152,333 cell type-specific accessible chromatin regions (csACRs) in the wheat inflorescence. Trajectory analysis identified two sub-clusters of proliferating cells as the origins of spikelet and floret formation, deviating from the traditional developmental model. Key transcription factors and hormone-related genes in the cTRN, along with the csACRs, providing new targets for modulating wheat inflorescence architecture. Our findings provide a high-resolution resource for crop inflorescence research and establish a paradigm for applying spatiotemporal single-cell omics analysis to plant biology.
- organism: plant (other)
- assay: scRNA-seq
- assay: ATAC-seq
- research focus: cell type annotation
- research focus: trajectory inference
- research focus: gene regulatory network inference
- approach: deep learning
- approach: statistical model
- Citations
- 5
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