Yi Zhao, Thomas P. Wytock, Kimberly A. Reynolds, Adilson E. Motter
{"title":"Irreversibility in Bacterial Regulatory Networks","authors":"Yi Zhao, Thomas P. Wytock, Kimberly A. Reynolds, Adilson E. Motter","doi":"arxiv-2409.04513","DOIUrl":null,"url":null,"abstract":"Irreversibility, in which a transient perturbation leaves a system in a new\nstate, is an emergent property in systems of interacting entities. This\nproperty has well-established implications in statistical physics but remains\nunderexplored in biological networks, especially for bacteria and other\nprokaryotes whose regulation of gene expression occurs predominantly at the\ntranscriptional level. Focusing on the reconstructed regulatory network of\n\\emph{Escherichia coli}, we examine network responses to transient single-gene\nperturbations. We predict irreversibility in numerous cases and find that the\nincidence of irreversibility increases with the proximity of the perturbed gene\nto positive circuits in the network. Comparison with experimental data suggests\na connection between the predicted irreversibility to transient perturbations\nand the evolutionary response to permanent perturbations.","PeriodicalId":501325,"journal":{"name":"arXiv - QuanBio - Molecular Networks","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Molecular Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.04513","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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
\emph{Escherichia coli}, 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.