Suthers Patrick F, Dinh Hoang V, Fatma Zia, Shen Yihui, Chan Siu Hung Joshua, Rabinowitz Joshua D, Zhao Huimin, Maranas Costas D
Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Metab Eng Commun. 2020 Oct 8;11:e00148. doi: 10.1016/j.mec.2020.e00148. eCollection 2020 Dec.
Many platform chemicals can be produced from renewable biomass by microorganisms, with organic acids making up a large fraction. Intolerance to the resulting low pH growth conditions, however, remains a challenge for the industrial production of organic acids by microorganisms. SD108 is a promising host for industrial production because it is tolerant to acidic conditions as low as pH 2.0. With the goal to systematically assess the metabolic capabilities of this non-model yeast, we developed a genome-scale metabolic model for SD108 spanning 850 genes, 1826 reactions, and 1702 metabolites. In order to improve the model's quantitative predictions, organism-specific macromolecular composition and ATP maintenance requirements were determined experimentally and implemented. We examined its network topology, including essential genes and flux coupling analysis and drew comparisons with the Yeast 8.3 model for . We explored the carbon substrate utilization and examined the organism's production potential for the industrially-relevant succinic acid, making use of the OptKnock framework to identify gene knockouts which couple production of the targeted chemical to biomass production. The genome-scale metabolic model 850 is a data-supported curated model which can inform genetic interventions for overproduction.
许多平台化学品可由微生物从可再生生物质中生产,其中有机酸占很大一部分。然而,微生物对由此产生的低pH生长条件的耐受性仍然是有机酸工业化生产面临的一个挑战。SD108是工业生产的一个有前景的宿主,因为它能耐受低至pH 2.0的酸性条件。为了系统评估这种非模式酵母的代谢能力,我们为SD108开发了一个基因组规模的代谢模型,该模型涵盖850个基因、1826个反应和1702个代谢物。为了提高模型的定量预测能力,通过实验确定并实施了特定于生物体的大分子组成和ATP维持需求。我们研究了它的网络拓扑结构,包括必需基因和通量耦合分析,并与酵母8.3模型进行了比较。我们探索了碳底物利用情况,并利用OptKnock框架确定将目标化学品的生产与生物质生产相耦合的基因敲除,从而研究了该生物体生产工业相关琥珀酸的潜力。基因组规模代谢模型850是一个数据支持的经过整理的模型,可为过量生产的基因干预提供信息。