Efficient estimation of the maximum metabolic productivity of batch systems
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- 作者：Peter C. St. John ; Michael F. Crowley ; Yannick J. Bomble
- 关键词：Flux balance analysis ; Dynamic optimizations ; Elementary flux modes ; Actinobacillus succinogenes ; Escherichia coli
- 刊名：Biotechnology for Biofuels
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：10
- 期：1
- 全文大小：2085KB
- 刊物类别：Chemistry and Materials Science
- 刊物主题：Biotechnology; Plant Breeding/Biotechnology; Environmental Engineering/Biotechnology; Renewable and Green Energy; Renewable and Green Energy; Microbiology;
- 出版者：BioMed Central
- ISSN：1754-6834
- 卷排序：10
文摘
BackgroundProduction of chemicals from engineered organisms in a batch culture involves an inherent trade-off between productivity, yield, and titer. Existing strategies for strain design typically focus on designing mutations that achieve the highest yield possible while maintaining growth viability. While these methods are computationally tractable, an optimum productivity could be achieved by a dynamic strategy in which the intracellular division of resources is permitted to change with time. New methods for the design and implementation of dynamic microbial processes, both computational and experimental, have therefore been explored to maximize productivity. However, solving for the optimal metabolic behavior under the assumption that all fluxes in the cell are free to vary is a challenging numerical task. Previous studies have therefore typically focused on simpler strategies that are more feasible to implement in practice, such as the time-dependent control of a single flux or control variable.