Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA.
Center for Network Dynamics, Northwestern University, Evanston, IL 60208, USA.
Sci Adv. 2024 Aug 30;10(35):eado3232. doi: 10.1126/sciadv.ado3232. Epub 2024 Aug 28.
Irreversibility, in which a transient perturbation leaves a system in a new state, is an emergent property in systems of interacting entities. This property has well-established implications in statistical physics but remains underexplored in biological networks, especially for bacteria and other prokaryotes whose regulation of gene expression occurs predominantly at the transcriptional level. Focusing on the reconstructed regulatory network of , we examine network responses to transient single-gene perturbations. We predict irreversibility in numerous cases and find that the incidence of irreversibility increases with the proximity of the perturbed gene to positive circuits in the network. Comparison with experimental data suggests a connection between the predicted irreversibility to transient perturbations and the evolutionary response to permanent perturbations.
不可逆性是指瞬态扰动会使系统进入一个新的状态,这是相互作用的实体系统中的一个涌现特性。这个特性在统计物理学中有着很好的应用,但在生物网络中仍未得到充分探索,特别是对于细菌和其他原核生物,它们的基因表达调控主要发生在转录水平。我们专注于重建的调控网络,研究了网络对瞬态单基因扰动的响应。我们预测了许多情况下的不可逆性,并发现不可逆性的发生率随着受扰基因与网络中正回路的接近程度而增加。与实验数据的比较表明,预测的瞬态扰动的不可逆性与永久扰动的进化响应之间存在联系。