A Van-Der-Waals picture for metabolic networks from MaxEnt modeling: inherent bistability and elusive coexistence
arXiv:1707.00320 · doi:10.1103/PhysRevE.96.060401
Abstract
In this work maximum entropy distributions in the space of steady states of metabolic networks are defined upon constraining the first and second moment of the growth rate. Inherent bistability of fast and slow phenotypes, akin to a Van-Der Waals picture, emerges upon considering control on the average growth (optimization/repression) and its fluctuations (heterogeneity). This is applied to the carbon catabolic core of E.coli where it agrees with some stylized facts on the persisters phenotype and it provides a quantitative map with metabolic fluxes, opening for the possibility to detect coexistence from flux data. Preliminary analysis on data for E.Coli cultures in standard conditions shows, on the other hand, degeneracy for the inferred parameters that extend in the coexistence region.
arXiv comment9 pages, 4 figures
References in corpus (5)
- Individuality and universality in the growth-division laws of single E. coli cells
- Statistical mechanics for metabolic networks during steady-state growth
- Growth against entropy in bacterial metabolism: the phenotypic trade-off behind empirical growth rate distributions in E. coli
- Slow protein fluctuations explain the emergence of growth phenotypes and persistence in clonal bacterial populations
- Antibiotic resistance: a physicist's view