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A spatial transcriptome map of the developing maize ear.

Yuebin WangYun LuoXing GuoYunfu LiJiali YanWenwen ShaoWenjie WeiXiaofeng WeiTao YangJing ChenLihua ChenQian DingMinji BaiLin ZhuoLi LiDavid P JacksonZhuxin ZhangXue LiuJianbing YanHuan LiuLei LiuNing Yang
Published in: Nature plants (2024)
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.
Keyphrases
  • single cell
  • rna seq
  • genome wide
  • high throughput
  • stem cells
  • gene expression
  • bioinformatics analysis
  • cell therapy
  • transcription factor
  • copy number
  • mesenchymal stem cells
  • binding protein
  • network analysis