Wenshan Cai, Shuai Jing, Laiying Yang, Yun Wu, Wei Li, Yao Ren, Jiao Li, Fanglan Ge
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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.</p>","PeriodicalId":9024,"journal":{"name":"Bioprocess and Biosystems Engineering","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Metabolomic insights into glutamate-induced γ-PGA biosynthesis and process optimization in Bacillus subtilis SCP017-03 for scalable production.\",\"authors\":\"Wenshan Cai, Shuai Jing, Laiying Yang, Yun Wu, Wei Li, Yao Ren, Jiao Li, Fanglan Ge\",\"doi\":\"10.1007/s00449-025-03234-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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. 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Metabolomic insights into glutamate-induced γ-PGA biosynthesis and process optimization in Bacillus subtilis SCP017-03 for scalable production.
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.
期刊介绍:
Bioprocess and Biosystems Engineering provides an international peer-reviewed forum to facilitate the discussion between engineering and biological science to find efficient solutions in the development and improvement of bioprocesses. The aim of the journal is to focus more attention on the multidisciplinary approaches for integrative bioprocess design. Of special interest are the rational manipulation of biosystems through metabolic engineering techniques to provide new biocatalysts as well as the model based design of bioprocesses (up-stream processing, bioreactor operation and downstream processing) that will lead to new and sustainable production processes.
Contributions are targeted at new approaches for rational and evolutive design of cellular systems by taking into account the environment and constraints of technical production processes, integration of recombinant technology and process design, as well as new hybrid intersections such as bioinformatics and process systems engineering. Manuscripts concerning the design, simulation, experimental validation, control, and economic as well as ecological evaluation of novel processes using biosystems or parts thereof (e.g., enzymes, microorganisms, mammalian cells, plant cells, or tissue), their related products, or technical devices are also encouraged.
The Editors will consider papers for publication based on novelty, their impact on biotechnological production and their contribution to the advancement of bioprocess and biosystems engineering science. Submission of papers dealing with routine aspects of bioprocess engineering (e.g., routine application of established methodologies, and description of established equipment) are discouraged.