Literature DB >> 18581570

Escherichia coil growth dynamics: A three-pool biochemically based description.

A Joshi1, B O Palsson.   

Abstract

A three-pool growth model of an individual Escherichia coli cell is described herein. The model is based on a previously developed chemically structured complex single cell growth model. The reduction in model complexity and the identification of the essential modes of motion, over the time scale of growth, is achieved by temporal decomposition and analysis of hierarchy in relaxation times. The three-pool model faithfully simulates the changes in cell size, cell shape, cell macromolecular composition, DNA initiation and termination periods, and the dependence of cell growth under abiotic glucose limitation. The predictions made by the reduced model compare favorably with both the experimental data and those of the full single cell model (SCM) without any parameter adjustments. The three-pool model has very few significant parameters and has the potential to find immediate practical use in bioreactor design and process control strategies. The model development illustrates the use of modal analysis to yield reduced physiologically realistic dynamic model of complex microbial system such as E. coll.

Entities:  

Year:  1988        PMID: 18581570     DOI: 10.1002/bit.260310203

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  5 in total

1.  Modelling and parameter identification for batch fermentations with Streptomyces tendae under phosphate limitation.

Authors:  Claudia Mundry; Klaus-Peter Kuhn
Journal:  Appl Microbiol Biotechnol       Date:  1991-06       Impact factor: 4.813

Review 2.  Quantification of control of microbial metabolism by substrates and enzymes.

Authors:  K van Dam; N Jansen
Journal:  Antonie Van Leeuwenhoek       Date:  1991 Oct-Nov       Impact factor: 2.271

3.  A community model of ciliate Tetrahymena and bacteria E. coli: Part I. individual-based models of tetrahymena and E. coli populations.

Authors:  J S Jaworska; T G Hallam; T W Schultz
Journal:  Bull Math Biol       Date:  1996-03       Impact factor: 1.758

Review 4.  Computing the functional proteome: recent progress and future prospects for genome-scale models.

Authors:  Edward J O'Brien; Bernhard O Palsson
Journal:  Curr Opin Biotechnol       Date:  2015-01-08       Impact factor: 9.740

5.  A Self-Controlled and Self-Healing Model of Bacterial Cells.

Authors:  Max Garzon; Petr Sosik; Jan Drastík; Omar Skalli
Journal:  Membranes (Basel)       Date:  2022-06-30
  5 in total

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