Literature DB >> 16570322

Kinetic modeling to optimize pentose fermentation in Zymomonas mobilis.

Mehmet M Altintas1, Christina K Eddy, Min Zhang, James D McMillan, Dhinakar S Kompala.   

Abstract

Zymomonas mobilis engineered to express four heterologous enzymes required for xylose utilization ferments xylose along with glucose. A network of pentose phosphate (PP) pathway enzymatic reactions interacting with the native glycolytic Entner Doudoroff (ED) pathway has been hypothesized. We have investigated this putative reaction network by developing a kinetic model incorporating all of the enzymatic reactions of the PP and ED pathways, including those catalyzed by the heterologous enzymes. Starting with the experimental literature on in vitro characterization of each enzymatic reaction, we have developed a kinetic model to enable dynamic simulation of intracellular metabolite concentrations along the network of interacting PP and ED metabolic pathways. This kinetic model is useful for performing in silico simulations to predict how varying the different enzyme concentrations will affect intracellular metabolite concentrations and ethanol production rate during continuous fermentation of glucose and xylose mixtures. Among the five enzymes whose concentrations were varied as inputs to the model, ethanol production in the continuous fermentor was optimized when xylose isomerase (XI) was present at the highest level, followed by transaldolase (TAL). Predictions of the model that the interconnecting enzyme phosphoglucose isomerase (PGI) does not need to be overexpressed were recently confirmed through experimental investigations. Through such systematic analysis, we can develop efficient strategies for maximizing the fermentation of both glucose and xylose, while minimizing the expression of heterologous enzymes. Copyright 2006 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16570322     DOI: 10.1002/bit.20843

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


  9 in total

1.  Dynamics of Positional Enrichment: Theoretical Development and Application to Carbon Labeling in Zymomonas mobilis.

Authors:  Fernando Alvarez-Vasquez; Yusuf A Hannun; Eberhard O Voit
Journal:  Biochem Eng J       Date:  2008-05       Impact factor: 3.978

2.  Insights into acetate toxicity in Zymomonas mobilis 8b using different substrates.

Authors:  Shihui Yang; Mary Ann Franden; Steven D Brown; Yat-Chen Chou; Philip T Pienkos; Min Zhang
Journal:  Biotechnol Biofuels       Date:  2014-09-30       Impact factor: 6.040

3.  Computer-Aided Rational Design of Efficient NADPH Production System by Escherichia coli pgi Mutant Using a Mixture of Glucose and Xylose.

Authors:  Yu Matsuoka; Hiroyuki Kurata
Journal:  Front Bioeng Biotechnol       Date:  2020-04-07

4.  Dynamic metabolomics differentiates between carbon and energy starvation in recombinant Saccharomyces cerevisiae fermenting xylose.

Authors:  Basti Bergdahl; Dominik Heer; Uwe Sauer; Bärbel Hahn-Hägerdal; Ed Wj van Niel
Journal:  Biotechnol Biofuels       Date:  2012-05-15       Impact factor: 6.040

5.  Fluorescence resonance energy transfer sensors for quantitative monitoring of pentose and disaccharide accumulation in bacteria.

Authors:  Thijs Kaper; Ida Lager; Loren L Looger; Diane Chermak; Wolf B Frommer
Journal:  Biotechnol Biofuels       Date:  2008-06-03       Impact factor: 6.040

6.  Modeling of Zymomonas mobilis central metabolism for novel metabolic engineering strategies.

Authors:  Uldis Kalnenieks; Agris Pentjuss; Reinis Rutkis; Egils Stalidzans; David A Fell
Journal:  Front Microbiol       Date:  2014-02-05       Impact factor: 5.640

Review 7.  Zymomonas mobilis as a model system for production of biofuels and biochemicals.

Authors:  Shihui Yang; Qiang Fei; Yaoping Zhang; Lydia M Contreras; Sagar M Utturkar; Steven D Brown; Michael E Himmel; Min Zhang
Journal:  Microb Biotechnol       Date:  2016-09-15       Impact factor: 5.813

8.  Genome comparison of different Zymomonas mobilis strains provides insights on conservation of the evolution.

Authors:  Chen Chen; Linfeng Wu; Qinghua Cao; Huanhuan Shao; Xuedan Li; Yizheng Zhang; Haiyan Wang; Xuemei Tan
Journal:  PLoS One       Date:  2018-04-25       Impact factor: 3.240

9.  Kinetic Modeling of Corn Fermentation with S. cerevisiae Using a Variable Temperature Strategy.

Authors:  Augusto C M Souza; Mohammad Mousaviraad; Kenneth O M Mapoka; Kurt A Rosentrater
Journal:  Bioengineering (Basel)       Date:  2018-04-24
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.