A model‐driven approach towards rational microbial bioprocess optimization

The predictability and robustness of engineered bacteria depend on the many interactions between synthetic constructs and their host cells. Expression from synthetic constructs is an unnatural load for the host that typically reduces growth, triggers stresses and leads to decrease in performance or failure of engineered cells. Work in systems and synthetic biology has now begun to address this through new tools, methods and strategies that characterise and exploit host-construct interactions in bacteria. Focusing on work in E. coli, we review here a selection of the recent developments in this area, highlighting the emerging issues and describing the new solutions that are now making the synthetic biology community consider the cell just as much as they consider the construct. Show more

In the recent past years, a large number of proteins have been expressed in Escherichia coli with high productivity due to rapid development of genetic engineering technologies. There are many hosts used for the production of recombinant protein but the preferred choice is E. coli due to its easier culture, short life cycle, well-known genetics, and easy genetic manipulation. We often face a problem in the expression of foreign genes in E. coli. Soluble recombinant protein is a prerequisite for structural, functional and biochemical studies of a protein. Researchers often face problems producing soluble recombinant proteins for over-expression, mainly the expression and solubility of heterologous proteins. There is no universal strategy to solve these problems but there are a few methods that can improve the level of expression, non-expression, or less expression of the gene of interest in E. coli. This review addresses these issues properly. Five levels of strategies can be used to increase the expression and solubility of over-expressed protein; (1) changing the vector, (2) changing the host, (3) changing the culture parameters of the recombinant host strain, (4) co-expression of other genes and (5) changing the gene sequences, which may help increase expression and the proper folding of desired protein. Here we present the resources available for the expression of a gene in E. coli to get a substantial amount of good quality recombinant protein. The resources include different strains of E. coli, different E. coli expression vectors, different physical and chemical agents and the co expression of chaperone interacting proteins. Perhaps it would be the solutions to such problems that will finally lead to the maturity of the application of recombinant proteins. The proposed solutions to such problems will finally lead to the maturity of the application of recombinant proteins. Show more

An increasing number of industrial bioprocesses capitalize on living cells by using them as cell factories that convert sugars into chemicals. These processes range from the production of bulk chemicals in yeasts and bacteria to the synthesis of therapeutic proteins in mammalian cell lines. One of the tools in the continuous search for improved performance of such production systems is the development and application of mathematical models. To be of value for industrial biotechnology, mathematical models should be able to assist in the rational design of cell factory properties or in the production processes in which they are utilized. Kinetic models are particularly suitable towards this end because they are capable of representing the complex biochemistry of cells in a more complete way compared to most other types of models. They can, at least in principle, be used to in detail understand, predict, and evaluate the effects of adding, removing, or modifying molecular components of a cell factory and for supporting the design of the bioreactor or fermentation process. However, several challenges still remain before kinetic modeling will reach the degree of maturity required for routine application in industry. Here we review the current status of kinetic cell factory modeling. Emphasis is on modeling methodology concepts, including model network structure, kinetic rate expressions, parameter estimation, optimization methods, identifiability analysis, model reduction, and model validation, but several applications of kinetic models for the improvement of cell factories are also discussed. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved. Show more