Suppr超能文献

根向地性时空动态的定量模型。

A quantitative model for spatio-temporal dynamics of root gravitropism.

机构信息

School of Physics and Astronomy, Tel Aviv University, Tel Aviv 6997801, Israel.

School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv 6997801, Israel.

出版信息

J Exp Bot. 2024 Jan 10;75(2):620-630. doi: 10.1093/jxb/erad383.

Abstract

Plant organs adapt their morphology according to environmental signals through growth-driven processes called tropisms. While much effort has been directed towards the development of mathematical models describing the tropic dynamics of aerial organs, these cannot provide a good description of roots due to intrinsic physiological differences. Here we present a mathematical model informed by gravitropic experiments on Arabidopsis thaliana roots, assuming a subapical growth profile and apical sensing. The model quantitatively recovers the full spatio-temporal dynamics observed in experiments. An analytical solution of the model enables us to evaluate the gravitropic and proprioceptive sensitivities of roots, while also allowing us to corroborate the requirement for proprioception in describing root dynamics. Lastly, we find that the dynamics are analogous to a damped harmonic oscillator, providing intuition regarding the source of the observed oscillatory behavior and the importance of proprioception for efficient gravitropic control. In all, the model provides not only a quantitative description of root tropic dynamics, but also a mathematical framework for the future investigation of roots in complex media.

摘要

植物器官通过生长驱动的过程(称为向性)根据环境信号来调整其形态。虽然已经做出了很大的努力来开发描述气生器官向性动力学的数学模型,但由于内在的生理差异,这些模型不能很好地描述根。在这里,我们提出了一个数学模型,该模型基于拟南芥根的向重力性实验,假设了一个亚顶端生长轮廓和顶端感应。该模型定量地恢复了实验中观察到的全部时空动力学。该模型的解析解使我们能够评估根的向重力性和本体感受敏感性,同时也使我们能够证实本体感受对于描述根动力学的必要性。最后,我们发现动力学类似于阻尼谐振荡器,为观察到的振荡行为的来源以及本体感受对于高效向重力控制的重要性提供了直观的理解。总之,该模型不仅提供了根向性动力学的定量描述,而且为未来在复杂介质中研究根提供了数学框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65fe/10773994/19b5879f123a/erad383_fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验