Abstract

The meshwork pattern is a significant pattern in the development of biological tissues and organs. It is necessary to explore the mathematical mechanism of meshwork pattern formation. In this paper, we found that the meshwork pattern is formed by four kinds of stalk behaviours: stalk extension, tip bifurcation, side branching and tip fusion. The Turing-type pattern underlying the meshwork pattern is a Turing spot pattern, which indicates that the Turing instability of the spot pattern promotes activator peak formation and then guides the formation of meshwork patterns. Then, we found that the Turing wavelength decreased in turn from tip bifurcation to side branching to tip fusion via statistical evaluation. Through the functional relationship between the Turing wavelength and model parameters (ε,ρA and ρH), we found that parameters ε and ρH had monotonic effects on the Turing wavelength and that parameter ρA had nonmonotonic effects. Furthermore, we performed simulations of local meshwork pattern formation under variable model parameter values. The simulation results verified the corresponding relationship between the Turing wavelength and stalk behaviours and the functional relationship between the Turing wavelength and model parameters. The simulation results showed that the Turing wavelength regulated the meshwork pattern and that the small Turing wavelength facilitated dense meshwork pattern formation. Our work provides novel insight into and understanding of the formation of meshwork patterns. We believe that studies associated with network morphogenesis can benefit from our work.

Details

Title
Wavelength of a Turing-type mechanism regulates the morphogenesis of meshwork patterns
Author
Guo, Shan 1 ; Ming-zhu, Sun 1 ; Zhao, Xin 1 

 Nankai University, College of Artificial Intelligence, Institute of Robotics and Automatic Information Systems, Tianjin, People’s Republic of China (GRID:grid.216938.7) (ISNI:0000 0000 9878 7032); Nankai University, Tianjin Key Laboratory of Intelligent Robotics, Tianjin, People’s Republic of China (GRID:grid.216938.7) (ISNI:0000 0000 9878 7032) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2494711400
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.