Flux Balance Analysis Incorporating a Coarse-grained Proteome Constraint for Predicting Overflow Metabolism in Escherichia Coli

Author(s):  
Hong Zeng ◽  
Aidong Yang
2010 ◽  
Vol 12 (2) ◽  
pp. 150-160 ◽  
Author(s):  
Adam L. Meadows ◽  
Rahi Karnik ◽  
Harry Lam ◽  
Sean Forestell ◽  
Brad Snedecor

2012 ◽  
Vol 424-425 ◽  
pp. 420-423
Author(s):  
Qing Hua Zhou ◽  
Xiao Dian Sun ◽  
Yan Li

In this paper, we investigate the metabolic capabilities of two kinds cells belong to enterbacteria. Firstly we develop the mathematical models for Escherichia coli and Buchnera aphidicola Cc based on Flux balance analysis methods. Then we study their capacity of producing the important metabolite Ethanol. Finally, the results show that if the metabolic pathway is more complicated, then more the terminal metabolite-AcCoA is produced.


Metabolites ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 198 ◽  
Author(s):  
Yuki Kuriya ◽  
Michihiro Araki

Flux balance analysis (FBA) is used to improve the microbial production of useful compounds. However, a large gap often exists between the FBA solution and the experimental yield, because of growth and byproducts. FBA has been extended to dynamic FBA (dFBA), which is applicable to time-varying processes, such as batch or fed-batch cultures, and has significantly contributed to metabolic and cultural engineering applications. On the other hand, the performance of the experimental strains has not been fully evaluated. In this study, we applied dFBA to the production of shikimic acid from glucose in Escherichia coli, to evaluate the production performance of the strain as a case study. The experimental data of glucose consumption and cell growth were used as FBA constraints. Bi-level FBA optimization with maximized growth and shikimic acid production were the objective functions. Results suggest that the shikimic acid concentration in the high-shikimic-acid-producing strain constructed in the experiment reached up to 84% of the maximum value by simulation. Thus, this method can be used to evaluate the performance of strains and estimate the milestones of strain improvement.


Cells ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 391 ◽  
Author(s):  
Zhichao Zhang ◽  
Qing Zhang ◽  
Shaohua Guan ◽  
Hualin Shi

The processes involved in cell growth are extremely complicated even for a single cell organism such as Escherichia coli, while the relationship between growth rate and cell size is simple. We aimed to reveal the systematic link between them from the aspect of the genome-scale metabolic network. Since the growth rate reflects metabolic rates of bacteria and the cell size relates to phospholipid synthesis, a part of bacterial metabolic networks, we calculated the cell length from the cardiolipin synthesis rate, where the cardiolipin synthesis reaction is able to represent the phospholipid metabolism of Escherichia coli in the exponential growth phase. Combined with the flux balance analysis, it enables us to predict cell length and to examine the quantitative relationship between cell length and growth rate. By simulating bacteria growing in various nutrient media with the flux balance analysis and calculating the corresponding cell length, we found that the increase of the synthesis rate of phospholipid, the cell width, and the protein fraction in membranes caused the increase of cell length with growth rate. Different tendencies of phospholipid synthesis rate changing with growth rate result in different relationships between cell length and growth rate. The effects of gene deletions on cell size and growth rate are also examined. Knocking out the genes, such as Δ tktA, Δ tktB, Δ yqaB, Δ pgm, and Δ cysQ, affects growth rate largely while affecting cell length slightly. Results of this method are in good agreement with experiments.


2015 ◽  
Vol 20 (2) ◽  
pp. 349-357 ◽  
Author(s):  
Pooi San Chua ◽  
Abdul Hakim Mohamed Salleh ◽  
Mohd Saberi Mohamad ◽  
Safaai Deris ◽  
Sigeru Omatu ◽  
...  

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