A single-cell, spatial transcriptomic atlas of the Arabidopsis life cycle

Arabidopsis has been pivotal in uncovering fundamental principles of plant biology, yet a comprehensive, high-resolution understanding of its cellular identities throughout the entire life cycle remains incomplete. Here we present a single-nucleus and spatial transcriptomic atlas spanning ten developmental stages, encompassing over 400,000 nuclei from all organ systems and tissues-from seeds to developing siliques. Leveraging paired single-nucleus and spatial transcriptomic datasets, we annotate 75% of identified cell clusters, revealing striking molecular diversity in cell types and states across development. Our integrated approach identified conserved transcriptional signatures among recurrent cell types, organ-specific heterogeneity and previously uncharacterized cell-type-specific markers validated spatially. Moreover, we uncover dynamic transcriptional programs governing secondary metabolite production and differential growth patterns, exemplified by detailed spatial profiling of the compact yet complex apical hook structure; this profiling revealed transient cellular states linked to developmental progression and hormonal regulation, highlighting the hidden complexity underlying plant morphogenesis. Functional validation of genes uniquely expressed within specific cell contexts confirmed their essential developmental roles, underscoring the predictive power of our atlas. Collectively, this comprehensive resource provides an invaluable foundation for exploring cellular differentiation, environmental responses and genetic perturbations at high resolution, advancing our understanding of plant biology.

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Publication Details

Journal
Nature Plants
Published
2025-08-19
DOI
https://doi.org/10.1038/s41477-025-02072-z
Citations
24
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
19.34

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article

A single-cell, spatial transcriptomic atlas of the Arabidopsis life cycle

Jiaying Xu, Tatsuya Nobori, Bruce Jow, Joseph R. Ecker et al.
24 citations
Nature Plants
Single-cell and spatial transcriptomics
19.34
article

A single-cell, spatial transcriptomic atlas of the Arabidopsis life cycle

Jiaying Xu, Tatsuya Nobori, Bruce Jow, Joseph R. Ecker, Natanella Illouz‐Eliaz, Travis Lee, Joseph R. Nery
article en
24 citations

Abstract

Arabidopsis has been pivotal in uncovering fundamental principles of plant biology, yet a comprehensive, high-resolution understanding of its cellular identities throughout the entire life cycle remains incomplete. Here we present a single-nucleus and spatial transcriptomic atlas spanning ten developmental stages, encompassing over 400,000 nuclei from all organ systems and tissues-from seeds to developing siliques. Leveraging paired single-nucleus and spatial transcriptomic datasets, we annotate 75% of identified cell clusters, revealing striking molecular diversity in cell types and states across development. Our integrated approach identified conserved transcriptional signatures among recurrent cell types, organ-specific heterogeneity and previously uncharacterized cell-type-specific markers validated spatially. Moreover, we uncover dynamic transcriptional programs governing secondary metabolite production and differential growth patterns, exemplified by detailed spatial profiling of the compact yet complex apical hook structure; this profiling revealed transient cellular states linked to developmental progression and hormonal regulation, highlighting the hidden complexity underlying plant morphogenesis. Functional validation of genes uniquely expressed within specific cell contexts confirmed their essential developmental roles, underscoring the predictive power of our atlas. Collectively, this comprehensive resource provides an invaluable foundation for exploring cellular differentiation, environmental responses and genetic perturbations at high resolution, advancing our understanding of plant biology.

Nature PlantsVol. 11(9)
University of East Anglia (GB), Salk Institute for Biological Studies (US), Howard Hughes Medical Institute (US), Sainsbury Laboratory (GB)
Howard Hughes Medical Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 0%
Single-cell and spatial transcriptomics
19.34
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