| 植物多细胞网络分析研究进展 |
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| 引用本文： | 施般若,黄小萍,付秀荣,王邦俊.植物多细胞网络分析研究进展[J].生物工程学报,2022,38(8):2798-2810. |
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| 作者姓名： | 施般若 黄小萍 付秀荣 王邦俊 |
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| 作者单位： | 西南大学 生命科学学院 重庆市资源植物保护与种质创新重点实验室, 重庆 400715;西南大学 教育部三峡库区生态环境重点实验室, 重庆 400715 |
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| 基金项目： | 国家重点研发计划(2016YFD0100504)；国家自然科学基金(31571584,31370317)；重庆市自然科学基金(cstc2013jcyjA80016) |
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| 摘 要： | 多细胞网络分析是一种可用于分析细胞空间结构的方法。器官的功能是由组成它们的细胞决定的，细胞空间排列赋予了器官更高层面的功能。目前关于植物细胞的空间排列结构是如何影响器官的机理仍然知之甚少。通过对植株进行3D扫描提取细胞网络模型用于多细胞网络分析，可深入揭示植物发育机制，并为人工合成植物多细胞系统提供参考。本文回顾了多细胞模型的发展历程，总结了多细胞网络分析的流程，并阐述了多细胞网络分析在植物生长发育中的发展与应用。此外，本文还对植物多细胞网络分析未来的发展趋势进行了展望。
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| 关 键 词： | 多细胞网络分析 器官发育 多细胞图像处理技术 植物适应性进化 空间组学 |
| 收稿时间： | 2022/2/22 0:00:00 |
Advances in the plant multicellular network analysis |
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| SHI Bore,HUANG Xiaoping,FU Xiurong,WANG Bangjun.Advances in the plant multicellular network analysis[J].Chinese Journal of Biotechnology,2022,38(8):2798-2810. |
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| Authors: | SHI Bore HUANG Xiaoping FU Xiurong WANG Bangjun |
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| Institution: | Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, College of Life Sciences, Southwest University, Chongqing 400715, China;Key Laboratory of Eco-Environments in Three Gorges Reservoir Region (Ministry of Education), Southwest University, Chongqing 400715, China |
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| Abstract: | Multicellular network analysis is a method for topological properties analysis of cells. The functions of organs are determined by their inner cells. The arrangement of cells within organs endows higher-order functionality through a structure-function relationship, though the organizational properties of these multicellular configurations remain poorly understood. Multicellular network analysis with multicellular models established by 3D scanning of plants, will further discover the plant development mechanism, and provide clues for synthesizing plant multicellular systems. In this paper, we review the development of multicellular models, summarize the process of multicellular network analysis, and describe the development and application of multicellular network analysis in plants. In addition, this review also provides perspective on future development of plant multicellular network analysis. |
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| Keywords: | multicellular network analysis organ development multicellular image processing technology plant adaptive evolution spatial omics |
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