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分支顺序对最佳叶脉几何形状的影响:默里定律与面积守恒分支

The influence of branch order on optimal leaf vein geometries: Murray's law and area preserving branching.

作者信息

Price Charles A, Knox Sarah-Jane C, Brodribb Tim J

机构信息

School of Plant Biology, University of Western Australia, Perth, Western Australia, Australia.

School of Plant Science, University of Tasmania, Hobart, Tasmania, Australia.

出版信息

PLoS One. 2013 Dec 31;8(12):e85420. doi: 10.1371/journal.pone.0085420. eCollection 2013.

Abstract

Models that predict the form of hierarchical branching networks typically invoke optimization based on biomechanical similitude, the minimization of impedance to fluid flow, or construction costs. Unfortunately, due to the small size and high number of vein segments found in real biological networks, complete descriptions of networks needed to evaluate such models are rare. To help address this we report results from the analysis of the branching geometry of 349 leaf vein networks comprising over 1.5 million individual vein segments. In addition to measuring the diameters of individual veins before and after vein bifurcations, we also assign vein orders using the Horton-Strahler ordering algorithm adopted from the study of river networks. Our results demonstrate that across all leaves, both radius tapering and the ratio of daughter to parent branch areas for leaf veins are in strong agreement with the expectation from Murray's law. However, as veins become larger, area ratios shift systematically toward values expected under area-preserving branching. Our work supports the idea that leaf vein networks differentiate roles of leaf support and hydraulic supply between hierarchical orders.

摘要

预测分层分支网络形式的模型通常基于生物力学相似性、流体流动阻抗最小化或建造成本进行优化。不幸的是,由于在真实生物网络中发现的静脉段尺寸小且数量多,用于评估此类模型所需的网络完整描述很少见。为了帮助解决这个问题,我们报告了对349个叶脉网络分支几何结构的分析结果,这些网络包含超过150万个单独的静脉段。除了测量静脉分叉前后各条静脉的直径外,我们还使用从河网研究中采用的霍顿-斯特拉勒排序算法来指定静脉等级。我们的结果表明,在所有叶片中,叶脉的半径逐渐变细以及子分支与父分支面积之比都与默里定律的预期高度一致。然而,随着叶脉变大,面积比会系统地向面积守恒分支下预期的值偏移。我们的工作支持这样一种观点,即叶脉网络在分层等级之间区分了叶片支撑和水力供应的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1a3/3877374/8db7992075e1/pone.0085420.g001.jpg

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