高通量酵母工程在生物造厂:朝着自主和可扩展的合成生物学
J P O Martinez1,2, R E Speight1,2
1CSIRO Advanced Engineering Biology Future Science Platform, Brisbane, QLD, Australia.
FEMS yeast research
|January 27, 2026
概括
生物工厂正在通过自动化和人工智能彻底改变酵母工程,通过设计-构建-测试-学习循环加速菌株的发展. 未来的"自动驾驶实验室"有望为可持续生物制造提供自主优化.
科学领域:
- 合成生物学和生物工程.
- 微生物菌株的开发和优化.
背景情况:
- 生物发明集成自动化,人工智能 (AI) 和标准化工作流程,以推进高吞吐量酵母工程.
- 设计-制造-测试-学习 (DBTL) 周期是加速菌株发展的关键框架.
研究的目的:
- 审查生物工厂对酵母工程的影响.
- 检查基因组编辑,表型查和生物发明中的预测建模方面的进展.
- 突出全球和澳大利亚的贡献,并确定标准化和AI整合的挑战.
主要方法:
- 审查当前的文献和生物基础倡议.
- 分析DBTL循环及其组成部分.
- 在菌株开发中探索新兴技术,如人工智能和机器人.
主要成果:
- 使用集成技术,生物基础工厂显著加快了酵母菌株的发展.
- 基因组编辑,选和建模方面取得了进展,但标准化和人工智能集成方面的挑战仍然存在.
- 向自主"自动驾驶实验室"和设计-构建-部署周期的过渡正在出现.
结论:
- 机器人,人工智能和合成生物学的融合将重新定义酵母工程.
- 克服标准化,数据治理和道德挑战对于实现生物基础设施的全部潜力至关重要.
- 自主实验室为可持续的大规模生物制造提供了提高菌株性能的途径.
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