Integrated Single‐Cell and Spatial Transcriptomics Reveal Cell‐Type‐Specific Immune Regulatory Networks in Maize Responding to Southern Corn Rust

Southern corn rust (SCR), caused by Puccinia polysora Underw. (P. polysora), poses a significant threat to maize production, yet the cell-type-specific defense mechanisms remain insufficiently characterized. To address this, we integrated single-nucleus RNA sequencing (snRNA-seq) and spatial transcriptomic sequencing (stRNA-seq) to elucidate the cell-type-specific transcriptional dynamics in maize leaves during early infection with P. polysora. Analyses at 24 and 48 h post infection (hpi) revealed eight major cell types and highlighted key defense responses, which are primarily initiated in the mesophyll and epidermal cells 24 hpi. Notably, the cell-type-specific activation of RLPs/RLKs and jasmonic acid was observed. Functional defense modules were activated in specific cell types at 24 hpi, with pseudotime and cell-cell communication analyses further uncovering immune-related cellular dynamics. Importantly, multi-omics analysis identified core DEGs across critical cell types and time points. Functional validation through virus-induced gene silencing (VIGS) demonstrated that silencing the ZmXET1 gene significantly reduced disease severity and pathogen biomass, while silencing the positive regulator ZmRBG, increased susceptibility. This study provides a high-resolution spatiotemporal atlas of maize defense against P. polysora, identifying ZmXET1 as a key susceptibility factor and ZmRBG as a resistance component, thereby offering valuable targets for disease resistance breeding.

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Publication Details

Journal
Advanced Science
Published
2026-03-16
DOI
https://doi.org/10.1002/advs.202512295
Primary Topic
Plant-Microbe Interactions and Immunity
Type
article
Field-Weighted Citation Impact
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article

Integrated Single‐Cell and Spatial Transcriptomics Reveal Cell‐Type‐Specific Immune Regulatory Networks in Maize Responding to Southern Corn Rust

Huimin Li, Zeqiang Cheng, Jihua Tang, H. B. Li et al.
Advanced Science
Plant-Microbe Interactions and Immunity
article

Integrated Single‐Cell and Spatial Transcriptomics Reveal Cell‐Type‐Specific Immune Regulatory Networks in Maize Responding to Southern Corn Rust

Huimin Li, Zeqiang Cheng, Jihua Tang, H. B. Li, Xiaoling Wu, Qiongqiong Wang, Shengbo Han, Yaru Shi, Wenbo Yang, Yingchao Sun, Zixiang Cheng, Yanyong Cao, Canxing Duan, Meichen Zhu, Jinghua Zhang, Xinyan Sun, Ying Feng
article en

Abstract

Southern corn rust (SCR), caused by Puccinia polysora Underw. (P. polysora), poses a significant threat to maize production, yet the cell-type-specific defense mechanisms remain insufficiently characterized. To address this, we integrated single-nucleus RNA sequencing (snRNA-seq) and spatial transcriptomic sequencing (stRNA-seq) to elucidate the cell-type-specific transcriptional dynamics in maize leaves during early infection with P. polysora. Analyses at 24 and 48 h post infection (hpi) revealed eight major cell types and highlighted key defense responses, which are primarily initiated in the mesophyll and epidermal cells 24 hpi. Notably, the cell-type-specific activation of RLPs/RLKs and jasmonic acid was observed. Functional defense modules were activated in specific cell types at 24 hpi, with pseudotime and cell-cell communication analyses further uncovering immune-related cellular dynamics. Importantly, multi-omics analysis identified core DEGs across critical cell types and time points. Functional validation through virus-induced gene silencing (VIGS) demonstrated that silencing the ZmXET1 gene significantly reduced disease severity and pathogen biomass, while silencing the positive regulator ZmRBG, increased susceptibility. This study provides a high-resolution spatiotemporal atlas of maize defense against P. polysora, identifying ZmXET1 as a key susceptibility factor and ZmRBG as a resistance component, thereby offering valuable targets for disease resistance breeding.

Advanced Science
Henan Academy of Agricultural Sciences (CN), Institute of Crop Sciences (CN), Henan Agricultural University (CN)
Openalex Percentile: Top 21%
Plant-Microbe Interactions and Immunity
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