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A Tug-of-War Mechanism for Pattern Formation in a Genetic Network
ACS Synthetic Biology ( IF 4.7 ) Pub Date : 2017-08-15 00:00:00 , DOI: 10.1021/acssynbio.7b00077
Marcella M. Gomez 1 , Murat Arcak 1
Affiliation  

Synthesizing spatial patterns with genetic networks is an ongoing challenge in synthetic biology. A successful demonstration of pattern formation would imply a better understanding of systems in the natural world and advance applications in synthetic biology. In developmental systems, transient patterning may suffice in order to imprint instructions for long-term development. In this paper we show that transient but persistent patterns can emerge from a realizable synthetic gene network based on a toggle switch. We show that a bistable system incorporating diffusible molecules can generate patterns that resemble Turing patterns but are distinctly different in the underlying mechanism: diffusion of mutually inhibiting molecules creates a prolonged “tug-of-war” between patches of cells at opposing bistable states. The patterns are transient but longer wavelength patterns persist for extended periods of time. Analysis of a representative small scale model implies the eigenvalues of the persistent modes are just above the threshold of stability. The results are verified through simulation of biologically relevant models.

中文翻译:

遗传网络中模式形成的拔河机制

利用遗传网络合成空间模式是合成生物学的一项持续挑战。模式形成的成功演示将意味着对自然界中的系统有更好的了解,并促进合成生物学的应用。在开发系统中,瞬态图案足以满足长期开发的要求。在本文中,我们表明,基于拨动开关的可实现合成基因网络可能会出现短暂但持久的模式。我们表明,包含可扩散分子的双稳态系统可以产生类似于图灵模式的模式,但是在潜在机理上明显不同:相互抑制的分子的扩散在处于相反双稳态状态的细胞斑之间产生了长时间的“拔河”。图案是瞬态的,但较长的波长图案会持续较长的时间。对代表性小规模模型的分析表明,持久模式的特征值刚好高于稳定性阈值。通过生物学相关模型的仿真验证了结果。
更新日期:2017-08-15
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