Serial Spatial Transcriptomes Reveal Regulatory Transitions in Maize Leaf Development

Plant leaves originate from the shoot apical meristem (SAM) and undergo a developmental process of highly coordinated gene expression regulation. To date, only a few key regulators have been identified and characterised, so the gene expression cascades responsible for leaf cell specification and differentiation from SAM remain largely elusive. Here, we optimised a spatial transcriptomics protocol using the 10× Genomics Visium system and developed computational pipelines to reconstruct three-dimensional gene expression profiles of the SAM and sequentially developing leaves in maize seedlings. These enabled positional indexing of cells sampled from consecutive developmental stages, revealing dynamic transitions from undifferentiated stem cells in the SAM to functionally differentiated leaf structures. Through spatial-temporal transcriptome analysis, we identified distinct transcriptional programs and key regulatory genes involved in meristem maintenance, leaf primordia initiation, vascular tissue differentiation, and cellular heterogeneity. This approach outperforms the single-cell transcriptome profiling, which lacks temporal and spatial contexts. Our optimised experimental pipeline, which goes from section preparation to data processing, enables the spatial resolution and 3-dimensional mapping of gene expression profiles. The established pipeline is readily applicable to delineating molecular events underlying developmental transitions, cell type specifications, and differentiation in plants.

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Publication Details

Journal
Plant Biotechnology Journal
Published
2026-01-06
DOI
https://doi.org/10.1111/pbi.70515
Citations
1
Primary Topic
Plant Molecular Biology Research
Type
article
Field-Weighted Citation Impact
31.34
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article

Serial Spatial Transcriptomes Reveal Regulatory Transitions in Maize Leaf Development

Kun‐Ting Hsieh, Chi‐Chih Wu, Yihua Chen, Chin‐Min Kimmy Ho et al.
1 citations
Plant Biotechnology Journal
Plant Molecular Biology Research
31.34
article

Serial Spatial Transcriptomes Reveal Regulatory Transitions in Maize Leaf Development

Kun‐Ting Hsieh, Chi‐Chih Wu, Yihua Chen, Chin‐Min Kimmy Ho, Shu‐Hsing Wu, Ludvig Larsson, Mei‐Yeh Jade Lu, Chunping Yu, Joakim Lundeberg, Ho‐Chun Yang, Wen‐Hsiung Li, Kai‐Hsuan Ding
article en
1 citations

Abstract

Plant leaves originate from the shoot apical meristem (SAM) and undergo a developmental process of highly coordinated gene expression regulation. To date, only a few key regulators have been identified and characterised, so the gene expression cascades responsible for leaf cell specification and differentiation from SAM remain largely elusive. Here, we optimised a spatial transcriptomics protocol using the 10× Genomics Visium system and developed computational pipelines to reconstruct three-dimensional gene expression profiles of the SAM and sequentially developing leaves in maize seedlings. These enabled positional indexing of cells sampled from consecutive developmental stages, revealing dynamic transitions from undifferentiated stem cells in the SAM to functionally differentiated leaf structures. Through spatial-temporal transcriptome analysis, we identified distinct transcriptional programs and key regulatory genes involved in meristem maintenance, leaf primordia initiation, vascular tissue differentiation, and cellular heterogeneity. This approach outperforms the single-cell transcriptome profiling, which lacks temporal and spatial contexts. Our optimised experimental pipeline, which goes from section preparation to data processing, enables the spatial resolution and 3-dimensional mapping of gene expression profiles. The established pipeline is readily applicable to delineating molecular events underlying developmental transitions, cell type specifications, and differentiation in plants.

Plant Biotechnology Journal
National Taiwan University (TW), University of Chicago (US), Research Center for Information Technology Innovation, Academia Sinica (TW), Institute of Plant and Microbial Biology, Academia Sinica (TW), Biodiversity Research Center, Academia Sinica (TW), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 2%
Plant Molecular Biology Research
31.34
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