高性能合成微生物群落的生态设计:从理论基础到功能优化
Zhihan Wang1,2, Shang Wang1, Qing He1
1State Key Laboratory of Regional Environment and Sustainability, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
ISME communications
|August 27, 2025
概括
通过整合生态原理和计算工具,工程合成微生物群落 (SynComs) 提供了可预测的功能. 这一框架使可编程生态技术能够应对全球可持续性挑战.
科学领域:
- 微生物生态学
- 合成生物学
- 计算生物学
背景情况:
- 自然微生物群落是复杂而难以预测的.
- 合成微生物群落 (SynComs) 提供了更大的控制能力,但在功能精度和稳定性方面面临挑战.
研究的目的:
- 提供SynComs工程的理论和方法框架.
- 在工程微生物联盟中实现可预测的功能和生态稳定性.
主要方法:
- 整合了生态原理,进化理论和计算创新.
- 生态相互作用工程,等级性物种编排,进化引导的人工选择和模块化代谢分层.
- 开发一个理论-技术集成的SynCom构建范式.
主要成果:
- 展示了一个具有可预测功能的SynComs编程框架.
- 确定了SynCom构建和应用的关键边界,包括人工智能,高通量文化学和预测建模.
- 建立SynComs作为可编程的生态技术,用于设计生态弹性.
结论:
- 这一框架将SynCom从经验方法转变为预测生态系统工程.
- 这种方法提供了一份路线图和工具包,用于利用工程微生物群落应对全球可持续性挑战.
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