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首页> 外文期刊>Cellular and Molecular Life Sciences >Organogenesis from stem cells in planta: multiple feedback loops integrating molecular and mechanical signals
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Organogenesis from stem cells in planta: multiple feedback loops integrating molecular and mechanical signals

机译:植物中干细胞的器官发生:整合分子和机械信号的多个反馈回路

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摘要

In multicellular organisms, the coordination of cell behaviors largely relies on biochemical and biophysical signals. Understanding how such signals control development is often challenging, because their distribution relies on the activity of individual cells and, in a feedback loop, on tissue behavior and geometry. This review focuses on one of the best-studied structures in biology, the shoot apical meristem (SAM). This tissue is responsible for the production of all the aerial parts of a plant. In the SAM, a population of stem cells continuously produces new cells that are incorporated in lateral organs, such as leaves, branches, and flowers. Organogenesis from stem cells involves a tight regulation of cell identity and patterning as well as large-scale morphogenetic events. The gene regulatory network controlling these processes is highly coordinated in space by various signals, such as plant hormones, peptides, intracellular mobile factors, and mechanical stresses. Many crosstalks and feedback loops interconnecting these pathways have emerged in the past 10 years. The plant hormone auxin and mechanical forces have received more attention recently and their role is more particularly detailed here. An integrated view of these signaling networks is also presented in order to help understanding how robust shape and patterning can emerge from these networks.
机译:在多细胞生物中,细胞行为的协调在很大程度上取决于生化和生物物理信号。理解此类信号如何控制发育通常具有挑战性,因为它们的分布取决于单个细胞的活动,并且在反馈回路中取决于组织的行为和几何形状。这篇综述着重于生物学研究最深入的结构之一,茎尖分生组织(SAM)。该组织负责植物所有空中部分的生产。在SAM中,一群干细胞不断产生新细胞,这些新细胞被并入叶,枝和花等侧向器官。干细胞的器官发生涉及细胞身份和模式以及大规模形态发生事件的严格调节。控制这些过程的基因调控网络在空间中受到各种信号(例如植物激素,肽,细胞内移动因子和机械胁迫)的高度协调。在过去的十年中,出现了许多将这些路径互连的串扰和反馈回路。植物激素生长素和机械力最近受到了更多的关注,它们的作用在这里更详细地描述。还提供了这些信令网络的综合视图,以帮助理解如何从这些网络中出现健壮的形状和图案。

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