Yuebin Wang, Yun Luo, Xing Guo, Yunfu Li, Jiali Yan, Wenwen Shao, Wenjie Wei, Xiaofeng Wei, Tao Yang, Jing Chen, Lihua Chen, Qian Ding, Minji Bai, Lin Zhuo, Li Li, David Jackson, Zuxin Zhang, Xun Xu, Jianbing Yan, Huan Liu, Lei Liu, Ning Yang
{"title":"发育中玉米穗的空间转录组图谱","authors":"Yuebin Wang, Yun Luo, Xing Guo, Yunfu Li, Jiali Yan, Wenwen Shao, Wenjie Wei, Xiaofeng Wei, Tao Yang, Jing Chen, Lihua Chen, Qian Ding, Minji Bai, Lin Zhuo, Li Li, David Jackson, Zuxin Zhang, Xun Xu, Jianbing Yan, Huan Liu, Lei Liu, Ning Yang","doi":"10.1038/s41477-024-01683-2","DOIUrl":null,"url":null,"abstract":"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. The authors integrate spatial (Stereo-seq) and single-cell transcriptomes of the developing maize ear to produce an atlas of maize ear cells and their developmental trajectories. They also identify a pair of transcription factors involved in inflorescence development.","PeriodicalId":18904,"journal":{"name":"Nature Plants","volume":null,"pages":null},"PeriodicalIF":15.8000,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A spatial transcriptome map of the developing maize ear\",\"authors\":\"Yuebin Wang, Yun Luo, Xing Guo, Yunfu Li, Jiali Yan, Wenwen Shao, Wenjie Wei, Xiaofeng Wei, Tao Yang, Jing Chen, Lihua Chen, Qian Ding, Minji Bai, Lin Zhuo, Li Li, David Jackson, Zuxin Zhang, Xun Xu, Jianbing Yan, Huan Liu, Lei Liu, Ning Yang\",\"doi\":\"10.1038/s41477-024-01683-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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. The authors integrate spatial (Stereo-seq) and single-cell transcriptomes of the developing maize ear to produce an atlas of maize ear cells and their developmental trajectories. 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A spatial transcriptome map of the developing maize ear
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. The authors integrate spatial (Stereo-seq) and single-cell transcriptomes of the developing maize ear to produce an atlas of maize ear cells and their developmental trajectories. They also identify a pair of transcription factors involved in inflorescence development.
期刊介绍:
Nature Plants is an online-only, monthly journal publishing the best research on plants — from their evolution, development, metabolism and environmental interactions to their societal significance.