Irreversibility in bacterial regulatory networks.

Autor:	Zhao Y; Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA.; Center for Network Dynamics, Northwestern University, Evanston, IL 60208, USA., Wytock TP; Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA.; Center for Network Dynamics, Northwestern University, Evanston, IL 60208, USA., Reynolds KA; The Green Center for Systems Biology-Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.; Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA., Motter AE; Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA.; Center for Network Dynamics, Northwestern University, Evanston, IL 60208, USA.; Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208, USA.; National Institute for Theory and Mathematics in Biology, Evanston, IL 60208, USA.
Jazyk:	angličtina
Zdroj:	Science advances [Sci Adv] 2024 Aug 30; Vol. 10 (35), pp. eado3232. Date of Electronic Publication: 2024 Aug 28.
DOI:	10.1126/sciadv.ado3232
Abstrakt:	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 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.
Databáze:	MEDLINE
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