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在稳态生物网络中,稳健性和可塑性之间存在线性互惠关系。

A linear reciprocal relationship between robustness and plasticity in homeostatic biological networks.

机构信息

Department of Basic Science, University of Tokyo, Meguro-ku, Tokyo, Japan.

Center for Complex Systems Biology, Universal Biology Institute, University of Tokyo, Komaba, Tokyo, Japan.

出版信息

PLoS One. 2023 Jan 26;18(1):e0277181. doi: 10.1371/journal.pone.0277181. eCollection 2023.

Abstract

In physics of living systems, a search for relationships of a few macroscopic variables that emerge from many microscopic elements is a central issue. We evolved gene regulatory networks so that the expression of core genes (partial system) is insensitive to environmental changes. Then, we found the expression levels of the remaining genes autonomously increase to provide a plastic (sensitive) response. A feedforward structure from the non-core to core genes evolved autonomously. Negative proportionality was observed between the average changes in core and non-core genes, reflecting reciprocity between the macroscopic robustness of homeostatic genes and plasticity of regulator genes. The proportion coefficient between those genes is represented by their number ratio, as in the "lever principle", whereas the decrease in the ratio results in a transition from perfect to partial adaptation, in which only a portion of the core genes exhibits robustness against environmental changes. This reciprocity between robustness and plasticity was satisfied throughout the evolutionary course, imposing an evolutionary constraint. This result suggests a simple macroscopic law for the adaptation characteristic in evolved complex biological networks.

摘要

在生命系统物理学中,从众多微观元素中寻找几个宏观变量之间的关系是一个核心问题。我们进化出基因调控网络,以使核心基因(部分系统)的表达不受环境变化的影响。然后,我们发现其余基因的表达水平会自主增加,从而提供一种具有可塑性(敏感性)的反应。从非核心到核心基因的前馈结构自主进化。核心基因和非核心基因的平均变化呈负比例关系,反映了稳态基因的宏观稳健性和调节基因的可塑性之间的互惠关系。这些基因之间的比例系数由它们的数量比表示,就像在“杠杆原理”中一样,而比例的降低导致从完美适应性到部分适应性的转变,其中只有一部分核心基因对环境变化表现出稳健性。这种稳健性和可塑性之间的互惠关系贯穿整个进化过程,施加了进化约束。这一结果表明,进化复杂生物网络中的适应性特征存在一个简单的宏观规律。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53a4/9879506/b6b24c7d8abd/pone.0277181.g001.jpg

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