
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.
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)
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)
| 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). | 4 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
