School of BioSciences, University of Melbourne, Melbourne, Victoria 3010, Australia.
Department of Life Sciences, Imperial College London, London, UK.
Philos Trans A Math Phys Eng Sci. 2021 Dec 27;379(2213):20200272. doi: 10.1098/rsta.2020.0272. Epub 2021 Nov 8.
Turing patterns have morphed from mathematical curiosities into highly desirable targets for synthetic biology. For a long time, their biological significance was sometimes disputed but there is now ample evidence for their involvement in processes ranging from skin pigmentation to digit and limb formation. While their role in developmental biology is now firmly established, their synthetic design has so far proved challenging. Here, we review recent large-scale mathematical analyses that have attempted to narrow down potential design principles. We consider different aspects of robustness of these models and outline why this perspective will be helpful in the search for synthetic Turing-patterning systems. We conclude by considering robustness in the context of developmental modelling more generally. This article is part of the theme issue 'Recent progress and open frontiers in Turing's theory of morphogenesis'.
图灵模式已经从数学上的奇思妙想演变成了合成生物学中非常理想的目标。长期以来,它们的生物学意义有时存在争议,但现在有充分的证据表明它们参与了从皮肤色素沉着到数字和肢体形成的各种过程。虽然它们在发育生物学中的作用现在已经得到了确立,但它们的合成设计迄今为止一直具有挑战性。在这里,我们回顾了最近的大规模数学分析,这些分析试图缩小潜在设计原则的范围。我们考虑了这些模型的不同稳健性方面,并概述了为什么这种观点将有助于寻找合成图灵模式系统。最后,我们在更广泛的发育建模背景下考虑稳健性。本文是主题为“图灵形态发生理论的最新进展和前沿领域”的一部分。