Mathematical modelling of microbes: metabolism, gene expression and growth - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Journal of the Royal Society Interface Year : 2017

Mathematical modelling of microbes: metabolism, gene expression and growth

Abstract

The growth of microorganisms involves the conversion of nutrients in the environment into biomass, mostly proteins and other macromolecules. This conversion is accomplished by networks of biochemical reactions cutting across cellular functions, such as metabolism, gene expression, transport and signalling. Mathematical modelling is a powerful tool for gaining an understanding of the functioning of this large and complex system and the role played by individual constituents and mechanisms. This requires models of microbial growth that provide an integrated view of the reaction networks and bridge the scale from individual reactions to the growth of a population. In this review, we derive a general framework for the kinetic modelling of microbial growth from basic hypotheses about the underlying reaction systems. Moreover, we show that several families of approximate models presented in the literature, notably flux balance models and coarse-grained whole-cell models, can be derived with the help of additional simplifying hypotheses. This perspective clearly brings out how apparently quite different modelling approaches are related on a deeper level, and suggests directions for further research.
Fichier principal
Vignette du fichier
20170502.full.pdf (753.9 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01666954 , version 1 (22-12-2017)

Identifiers

Cite

Hidde de Jong, Stefano Casagranda, Nils Giordano, Eugenio Cinquemani, Delphine Ropers, et al.. Mathematical modelling of microbes: metabolism, gene expression and growth. Journal of the Royal Society Interface, 2017, 14 (136), pp.1-14. ⟨10.1098/rsif.2017.0502⟩. ⟨hal-01666954⟩
770 View
376 Download

Altmetric

Share

Gmail Facebook X LinkedIn More