How the zebra got its stripes: Curvature-dependent diffusion orients Turing patterns on three-dimensional surfaces

IF 2.4 3区 物理与天体物理 Q1 Mathematics Physical review. E Pub Date : 2024-09-03 DOI:10.1103/physreve.110.034402
Michael F. Staddon
{"title":"How the zebra got its stripes: Curvature-dependent diffusion orients Turing patterns on three-dimensional surfaces","authors":"Michael F. Staddon","doi":"10.1103/physreve.110.034402","DOIUrl":null,"url":null,"abstract":"Many animals have patterned fur, feathers, or scales, such as the stripes of a zebra. Turing models, or reaction-diffusion systems, are a class of mathematical models of interacting species that have been successfully used to generate animal-like patterns for many species. When diffusion of the inhibitor is high enough relative to the activator, a diffusion-driven instability can spontaneously form patterns. However, it is not just the type of pattern but also the orientation that matters, and it remains unclear how patterns are oriented in practice. Here, we propose a mechanism by which the curvature of the surface influences the rate of diffusion, and can recapture the correct orientation of stripes on models of a zebra and of a cat in numerical simulations. Previous work has shown how anisotropic diffusion can give stripe forming reaction-diffusion systems a bias in orientation. From the observation that zebra stripes run around the direction of highest curvature, that is around the torso and legs, we apply this result by modifying the anisotropic diffusion rates based on the local curvature. These results show how local geometry can influence the reaction dynamics to give robust, global-scale patterns. Overall, this model proposes a coupling between the system geometry and reaction-diffusion dynamics that can give global control over the patterning by using only local curvature information. Such a model can give shape and positioning information in animal development without the need for spatially dependent morphogen gradients.","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"44 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical review. E","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1103/physreve.110.034402","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

Many animals have patterned fur, feathers, or scales, such as the stripes of a zebra. Turing models, or reaction-diffusion systems, are a class of mathematical models of interacting species that have been successfully used to generate animal-like patterns for many species. When diffusion of the inhibitor is high enough relative to the activator, a diffusion-driven instability can spontaneously form patterns. However, it is not just the type of pattern but also the orientation that matters, and it remains unclear how patterns are oriented in practice. Here, we propose a mechanism by which the curvature of the surface influences the rate of diffusion, and can recapture the correct orientation of stripes on models of a zebra and of a cat in numerical simulations. Previous work has shown how anisotropic diffusion can give stripe forming reaction-diffusion systems a bias in orientation. From the observation that zebra stripes run around the direction of highest curvature, that is around the torso and legs, we apply this result by modifying the anisotropic diffusion rates based on the local curvature. These results show how local geometry can influence the reaction dynamics to give robust, global-scale patterns. Overall, this model proposes a coupling between the system geometry and reaction-diffusion dynamics that can give global control over the patterning by using only local curvature information. Such a model can give shape and positioning information in animal development without the need for spatially dependent morphogen gradients.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
斑马的条纹是如何形成的?依赖曲率的扩散使图灵图案在三维表面上定向
许多动物的皮毛、羽毛或鳞片上都有图案,如斑马的条纹。图灵模型或反应-扩散系统是一类相互作用物种的数学模型,已被成功用于为许多物种生成类似动物的图案。当抑制剂相对于激活剂的扩散量足够大时,扩散驱动的不稳定性就会自发形成图案。然而,重要的不仅是图案的类型,还有图案的方向,而图案在实践中是如何定向的仍不清楚。在这里,我们提出了一种表面曲率影响扩散速度的机制,并能在数值模拟中重现斑马和猫模型上条纹的正确方向。以前的研究表明,各向异性的扩散如何使条纹形成的反应-扩散系统在方向上产生偏差。根据观察到的斑马条纹围绕曲率最大的方向(即围绕躯干和腿部)运行,我们根据局部曲率修改了各向异性扩散率,从而应用了这一结果。这些结果表明了局部几何如何影响反应动力学,从而产生稳健的全局模式。总之,该模型提出了系统几何与反应-扩散动力学之间的耦合,只需利用局部曲率信息就能对图案进行全局控制。这种模型可以在动物发育过程中提供形状和定位信息,而无需依赖空间形态发生梯度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
期刊最新文献
Attractive-repulsive interaction in coupled quantum oscillators Theoretical analysis of the structure, thermodynamics, and shear elasticity of deeply metastable hard sphere fluids Wakefield-driven filamentation of warm beams in plasma Erratum: General existence and determination of conjugate fields in dynamically ordered magnetic systems [Phys. Rev. E 104, 044125 (2021)] Death-birth adaptive dynamics: modeling trait evolution
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1