Literature DB >> 18615690

Predictions for oxygen supply control to enhance population stability of engineered production strains.

A Varma1, B O Palsson.   

Abstract

The simultaneous growth and product formation in a microbial culture is an important feature of several laboratory, industrial, and environmental bioprocesses. Metabolic burden associated with product formation in these bioprocesses may lead to growth advantage of a nonproducing mutant leading to a loss of the producing population over time. A simple population dynamics model demonstrates the extreme sensitivity of population stability to the engineered productivity of a strain. Here we use flux balance analysis to estimate the effects of the metabolic burden associated with product secretion on optimal growth rates. Comparing the optimal growth rates of the producing and nonproducing strains under a given processing condition allows us to predict the population stability. In order to increase stability of an engineered strain, we determine processing conditions that simultaneously maximize the growth rate of the producing population while minimizing the growth rate of a nonproducing population. Using valine, tryptophan, and lysine production as specific examples, we demonstrate that although an appropriate choice of oxygenation may increase culture longevity more than twofold, total production as governed by economic criterion can be increased by several orders of magnitude. Choice of optimal nutrient and oxygen supply rates to enhance stability is important both for strain screening as well as for culture of engineered strains. Appropriate design of the culture environment can thus be used to enhance the productivity of bioprocesses that use engineered production strains. (c) 1994 John Wiley & Sons, Inc.

Entities:  

Year:  1994        PMID: 18615690     DOI: 10.1002/bit.260430403

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


  3 in total

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Authors:  C H Schilling; B O Palsson
Journal:  Proc Natl Acad Sci U S A       Date:  1998-04-14       Impact factor: 11.205

2.  Utilizing elementary mode analysis, pathway thermodynamics, and a genetic algorithm for metabolic flux determination and optimal metabolic network design.

Authors:  Brett A Boghigian; Hai Shi; Kyongbum Lee; Blaine A Pfeifer
Journal:  BMC Syst Biol       Date:  2010-04-23

3.  Double and multiple knockout simulations for genome-scale metabolic network reconstructions.

Authors:  Yaron Ab Goldstein; Alexander Bockmayr
Journal:  Algorithms Mol Biol       Date:  2015-01-09       Impact factor: 1.405

  3 in total

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