A spatial transcriptome map of the developing maize ear

Wang, Yuebin, Luo, Yun, Guo, Xing, Li, Yunfu, Yan, Jiali, Shao, Wenwen, Wei, Wenjie, Wei, Xiaofeng, Yang, Tao, Chen, Jing, Chen, Lihua, Ding, Qian, Bai, Minji, Zhuo, Lin, Li, Li, Jackson, David, Zhang, Zuxin, Xu, Xun, Yan, Jianbing, Liu, Huan, Liu, Lei, Yang, Ning (May 2024) A spatial transcriptome map of the developing maize ear. Nature Plants. ISSN 2055-0278 (Public Dataset)

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URL: https://www.ncbi.nlm.nih.gov/pubmed/38745100
DOI: 10.1038/s41477-024-01683-2


A comprehensive understanding of inflorescence development is crucial for crop genetic improvement, as inflorescence meristems give rise to reproductive organs and determine grain yield. However, dissecting inflorescence development at the cellular level has been challenging owing to a lack of specific marker genes to distinguish among cell types, particularly in different types of meristems that are vital for organ formation. In this study, we used spatial enhanced resolution omics-sequencing (Stereo-seq) to construct a precise spatial transcriptome map of the developing maize ear primordium, identifying 12 cell types, including 4 newly defined cell types found mainly in the inflorescence meristem. By extracting the meristem components for detailed clustering, we identified three subtypes of meristem and validated two MADS-box genes that were specifically expressed at the apex of determinate meristems and involved in stem cell determinacy. Furthermore, by integrating single-cell RNA transcriptomes, we identified a series of spatially specific networks and hub genes that may provide new insights into the formation of different tissues. In summary, this study provides a valuable resource for research on cereal inflorescence development, offering new clues for yield improvement.

Item Type: Paper
Subjects: bioinformatics
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
bioinformatics > genomics and proteomics
organism description > plant > maize
organism description > plant
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > transcriptomes
CSHL Authors:
Communities: CSHL labs > Jackson lab
SWORD Depositor: CSHL Elements
Depositing User: CSHL Elements
Date: 14 May 2024
Date Deposited: 20 May 2024 13:20
Last Modified: 20 May 2024 13:20
Related URLs:
Dataset ID:
  • https://db.cngb.org/
  • https://db.cngb. org/stomics/mdesta/
URI: https://repository.cshl.edu/id/eprint/41552

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