Matsuoka Yu, Kurata Hiroyuki
Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502 Japan.
Biomedical Informatics R&D Center, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502 Japan.
Biotechnol Biofuels. 2017 Jul 14;10:183. doi: 10.1186/s13068-017-0867-0. eCollection 2017.
Microbial production of biofuels and biochemicals from renewable feedstocks has received considerable recent attention from environmental protection and energy production perspectives. Many biofuels and biochemicals are produced by fermentation under oxygen-limited conditions following initiation of aerobic cultivation to enhance the cell growth rate. Thus, it is of significant interest to investigate the effect of dissolved oxygen concentration on redox regulation in , a particularly popular cellular factory due to its high growth rate and well-characterized physiology. For this, the systems biology approach such as modeling is powerful for the analysis of the metabolism and for the design of microbial cellular factories.
Here, we developed a kinetic model that describes the dynamics of fermentation by taking into account transcription factors such as ArcA/B and Fnr, respiratory chain reactions and fermentative pathways, and catabolite regulation. The hallmark of the kinetic model is its ability to predict the dynamics of metabolism at different dissolved oxygen levels and facilitate the rational design of cultivation methods. The kinetic model was verified based on the experimental data for a wild-type strain. The model reasonably predicted the metabolic characteristics and molecular mechanisms of and gene-knockout mutants. Moreover, an aerobic-microaerobic dual-phase cultivation method for lactate production in a -knockout mutant exhibited promising yield and productivity.
It is quite important to understand metabolic regulation mechanisms from both scientific and engineering points of view. In particular, redox regulation in response to oxygen limitation is critically important in the practical production of biofuel and biochemical compounds. The developed model can thus be used as a platform for designing microbial factories to produce a variety of biofuels and biochemicals.
从环境保护和能源生产的角度来看,利用可再生原料通过微生物生产生物燃料和生物化学品最近受到了广泛关注。许多生物燃料和生物化学品是在有氧培养启动以提高细胞生长速率后,在限氧条件下通过发酵生产的。因此,研究溶解氧浓度对[具体微生物名称未给出]中氧化还原调节的影响具有重要意义,[具体微生物名称未给出]因其高生长速率和特征明确的生理学特性而成为特别受欢迎的细胞工厂。为此,诸如建模等系统生物学方法对于分析代谢和设计微生物细胞工厂非常强大。
在此,我们开发了一个动力学模型,该模型通过考虑转录因子如ArcA/B和Fnr、呼吸链反应和发酵途径以及分解代谢物调节来描述发酵动力学。动力学模型的标志在于其能够预测不同溶解氧水平下的代谢动态,并有助于合理设计培养方法。基于野生型[具体微生物名称未给出]菌株的实验数据对动力学模型进行了验证。该模型合理地预测了[具体微生物名称未给出]及其基因敲除突变体的代谢特征和分子机制。此外,在[具体微生物名称未给出]基因敲除突变体中用于乳酸生产的好氧 - 微氧双相培养方法表现出有前景的产量和生产率。
从科学和工程的角度理解代谢调节机制非常重要。特别是,响应氧限制的氧化还原调节在生物燃料和生物化学化合物的实际生产中至关重要。因此,所开发的模型可作为设计用于生产各种生物燃料和生物化学品的微生物工厂的平台。