Tuning the diffusion constant to optimize the readout of the positional information of spatial concentration patterns

Ka Kit Kong, Chunxiong Luo, Feng Liu
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Abstract

Positional information encoded in spatial concentration patterns is crucial for the development of multicellular organisms. However, it is still unclear how such information is affected by the physically dissipative diffusion process. Here we study one-dimensional patterning systems with analytical derivation and numerical simulations. We find that the diffusion constant of the patterning molecules exhibits a nonmonotonic effect on the readout of the positional information from the concentration patterns. Specifically, there exists an optimal diffusion constant that maximizes the positional information. Moreover, we find that the energy dissipation due to the physical diffusion imposes a fundamental upper limit on the positional information.
调整扩散常数,优化空间浓度模式位置信息的读取
空间浓度模式中编码的位置信息对于多细胞生物体的发育至关重要。然而,这些信息如何受到物理耗散扩散过程的影响仍不清楚。在此,我们通过分析推导和数值模拟研究了一维图案系统。我们发现,图案化分子的扩散常数对从浓度图案中读出位置信息具有非单调性影响。具体来说,存在一个能使位置信息最大化的最佳扩散常数。此外,我们还发现物理扩散导致的能量耗散对位置信息造成了基本的上限。
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