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代谢组学揭示谷氨酸诱导枯草芽孢杆菌SCP017 - 03合成γ-聚谷氨酸及过程优化以实现可扩展生产

Metabolomic insights into glutamate-induced γ-PGA biosynthesis and process optimization in Bacillus subtilis SCP017-03 for scalable production.

作者信息

Cai Wenshan, Jing Shuai, Yang Laiying, Wu Yun, Li Wei, Ren Yao, Li Jiao, Ge Fanglan

机构信息

College of Life Sciences, Sichuan Normal University, Sichuan, China.

出版信息

Bioprocess Biosyst Eng. 2025 Sep 15. doi: 10.1007/s00449-025-03234-1.

Abstract

This study focuses on the glutamate-dependent strain Bacillus subtilis SCP017-03, systematically investigating its metabolic mechanism for synthesizing γ-polyglutamic acid (γ-PGA) in the presence of exogenous glutamate, as well as optimizing its fermentation conditions. Metabolomic analysis revealed that glutamate addition significantly altered the cellular metabolic profile, with 480 out of 1674 metabolites showing differential expression. Notably, pathways such as the TCA cycle, glycolysis, glutathione metabolism, and amino acid metabolism were significantly upregulated, enhancing precursor supply and energy metabolism, thereby promoting γ-PGA synthesis. Based on these findings, fermentation conditions were optimized in a 5-L bioreactor. Yeast extract was identified as the optimal nitrogen-rich nutrient, and at an addition level of 7.5 g/L, the γ-PGA yield reached 87 g/L. The optimal conversion efficiency and yield were achieved with a 5% addition of monosodium glutamate. Molecular weight analysis showed that the resulting γ-PGA predominantly ranged from 1071 to 4897 kDa, making it suitable for agricultural applications. In a 30-L scale-up fermentation, γ-PGA production reached 71 g/L through optimized aeration, agitation, and feeding strategies, demonstrating the scalability of the process. Finally, optimized spray-drying conditions (inlet temperature of 160 °C) resulted in a 67% recovery rate with a desirable product appearance. This study provides important metabolic regulation strategies and engineering optimization foundations for the efficient industrial production of γ-PGA.

摘要

本研究聚焦于谷氨酸依赖型枯草芽孢杆菌SCP017 - 03,系统地研究了其在外源谷氨酸存在下合成γ-聚谷氨酸(γ-PGA)的代谢机制,并对其发酵条件进行了优化。代谢组学分析表明,添加谷氨酸显著改变了细胞代谢谱,1674种代谢物中有480种呈现差异表达。值得注意的是,三羧酸循环、糖酵解、谷胱甘肽代谢和氨基酸代谢等途径显著上调,增强了前体供应和能量代谢,从而促进了γ-PGA的合成。基于这些发现,在5 L生物反应器中对发酵条件进行了优化。酵母提取物被确定为最佳富氮营养物,添加量为7.5 g/L时,γ-PGA产量达到87 g/L。添加5%的谷氨酸时可实现最佳的转化效率和产量。分子量分析表明,所得γ-PGA的主要分子量范围为1071至4897 kDa,适用于农业应用。在30 L的放大发酵中,通过优化通气、搅拌和补料策略,γ-PGA产量达到71 g/L,证明了该工艺的可扩展性。最后,优化的喷雾干燥条件(进口温度为160℃)使回收率达到67%,且产品外观良好。本研究为γ-PGA的高效工业化生产提供了重要的代谢调控策略和工程优化基础。

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