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Science Advances
Article . 2024 . Peer-reviewed
Data sources: Crossref
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Science Advances
Article . 2024
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https://dx.doi.org/10.48550/ar...
Article . 2024
License: CC BY
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Irreversibility in bacterial regulatory networks

Authors: Yi Zhao; Thomas P. Wytock; Kimberly A. Reynolds; Adilson E. Motter;

Irreversibility in bacterial regulatory networks

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 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.

Keywords

Molecular Networks (q-bio.MN), FOS: Physical sciences, Gene Expression Regulation, Bacterial, Nonlinear Sciences - Adaptation and Self-Organizing Systems, Biological Physics (physics.bio-ph), FOS: Biological sciences, Social and Interdisciplinary Sciences and Public Health, Escherichia coli, Quantitative Biology - Molecular Networks, Gene Regulatory Networks, Physics - Biological Physics, Adaptation and Self-Organizing Systems (nlin.AO)

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Top 10%
Green
gold