多维策略使微生物发酵中可扩展的代谢组多样性成为可能
Anton Lindig1, Makram Fataeri1,2, Georg Hubmann1
1Chair for Bioprocess Engineering, Department of Biochemical and Chemical Engineering, TU Dortmund University, Emil-Figge-Straße 66, 44227, Dortmund, Germany.
Scientific reports
|January 29, 2026
概括
在种植系统中实现一致的自然产品 (NP) 发现是具有挑战性的. 生物过程参数的多维优化是改善新药的代谢组可扩展性和可重复性的关键.
科学领域:
- 微生物学 微生物学
- 代谢学 代谢学 代谢学
- 生物技术是生物技术.
背景情况:
- 自然产品 (NPs) 是药物的重要来源.
- NP生物合成对培养条件敏感,阻碍了可扩展性和可复制性.
- 跨系统的代谢足迹一致性是NP发现的一个主要挑战.
研究的目的:
- 在三个种植系统中确定增强Streptomyces griseochromogenes代谢足迹重叠的因素.
- 为了提高NP发现的代谢组数据的可扩展性和可重复性.
主要方法:
- 在混乱的摇瓶 (BSF),48个花盘 (48 FP) 和水箱生物反应器 (STR) 中比较了代谢足迹.
- 研究氧气可用性和乙醇度对代谢重叠的影响.
- 利用80种种植的因子分析和分子网络分析.
主要成果:
- 在确定关键因素后,代谢足迹重叠增加了50%.
- 恒定的氧气可用性标准只产生了18%的重叠;优化增加了18%.
- 形态和总质量特征数,受种植系统的影响,是可复制性的关键.
结论:
- 多维优化对于强大的代谢组可扩展性和可重复性至关重要.
- 这种方法有助于发现新的天然产品.
- 这些发现为在多种生物过程中更可靠的NP药物标识铺平了道路.
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