Predicting microbial growth kinetics with the use of genetic circuit models

M. Koutinas, A. Kiparissides, V. de Lorenzo, V.A.P. Martins Dos Santos, E.N. Pistikopoulos, A. Mantalaris

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

A novel modeling approach for the description of bioprocesses is proposed, linking microbial growth kinetics to gene regulation. An example is given with the development and experimental validation of a dynamic mathematical model of the TOL plasmid of Pseudomonas putida mt-2, which is used for the metabolism of m-xylene. The model of this genetic circuit is coupled to a growth kinetic model through predictions of rate-limiting enzyme concentrations that control biomass growth and substrate consumption. Batch cultures of mt-2 fed with m-xylene were performed to estimate model parameters and to confirm that the combined model successfully describes the bioprocess, through mRNA, biomass and m-xylene concentration measurements. However, mathematical models developed exclusively based on macroscopic measurements failed to predict the process variables, highlighting the importance of gene regulation for the development of advanced biological models
Original languageEnglish
Title of host publication21st European Symposium on Computer Aided Process Engineering
EditorsE.N. Pistikopoulos, M.C. Georgiadis, A.C. Kokossis
PublisherElsevier
Pages1321-1325
ISBN (Print)9780444538956
DOIs
Publication statusPublished - 2011
Event21st European Symposium on Computer Aided Process Engineering -
Duration: 29 May 20111 Jun 2011

Publication series

NameComputer Aided Chemical Engineering
Volume29
ISSN (Print)1570-7946

Conference

Conference21st European Symposium on Computer Aided Process Engineering
Period29/05/111/06/11

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  • Cite this

    Koutinas, M., Kiparissides, A., de Lorenzo, V., Martins Dos Santos, V. A. P., Pistikopoulos, E. N., & Mantalaris, A. (2011). Predicting microbial growth kinetics with the use of genetic circuit models. In E. N. Pistikopoulos, M. C. Georgiadis, & A. C. Kokossis (Eds.), 21st European Symposium on Computer Aided Process Engineering (pp. 1321-1325). (Computer Aided Chemical Engineering; Vol. 29). Elsevier. https://doi.org/10.1016/B978-0-444-54298-4.50043-X