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Construction and application of the genome-scale metabolic model of Streptomyces radiopugnans

文献类型： 外文期刊

作者： Zhang, Zhidong 1 ; Guo, Qi 1 ; Qian, Jinyi 3 ; Ye, Chao 3 ; Huang, He 1 ;

作者机构： 1.Nanjing Technol Univ, Coll Biotechnol & Pharmaceut Engn, Nanjing, Peoples R China

2.Xinjiang Acad Agr Sci, Inst Microbiol, Urumqi, Peoples R China

3.Nanjing Normal Univ, Sch Food Sci & Pharmaceut Engn, Nanjing, Peoples R China

关键词： geosmin; Streptomyces radiopugnans; genome-scale metabolic model; culture condition optimization; metabolic engineering

期刊名称：FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY （ 影响因子：5.7； 五年影响因子：6.2 ）

ISSN： 2296-4185

年卷期： 2023 年 11 卷

页码：

收录情况： SCI

摘要： Geosmin is one of the most common earthy-musty odor compounds, which is mainly produced by Streptomyces. Streptomyces radiopugnans was screened in radiation-polluted soil, which has the potential to overproduce geosmin. However, due to the complex cellular metabolism and regulation mechanism, the phenotypes of S. radiopugnans were hard to investigate. A genome-scale metabolic model of S. radiopugnans named iZDZ767 was constructed. Model iZDZ767 involved 1,411 reactions, 1,399 metabolites, and 767 genes; its gene coverage was 14.1%. Model iZDZ767 could grow on 23 carbon sources and five nitrogen sources, which achieved 82.1% and 83.3% prediction accuracy, respectively. For the essential gene prediction, the accuracy was 97.6%. According to the simulation of model iZDZ767, D-glucose and urea were the best for geosmin fermentation. The culture condition optimization experiments proved that with D-glucose as the carbon source and urea as the nitrogen source (4 g/L), geosmin production could reach 581.6 ng/L. Using the OptForce algorithm, 29 genes were identified as the targets of metabolic engineering modification. With the help of model iZDZ767, the phenotypes of S. radiopugnans could be well resolved. The key targets for geosmin overproduction could also be identified efficiently.

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