压力ME:关于大肠杆菌代谢,基因表达和应激反应的统一计算框架
Jiao Zhao1, Ke Chen2, Bernhard O Palsson2
1Department of Chemical Engineering, Queen's University, Kingston, Ontario, Canada.
PLoS computational biology
|February 12, 2024
概括
这项研究引入了StressME,这是大肠杆菌应激反应的统一模型,量化了交叉应激相互作用. 它揭示了微生物适应热,氧化和酸压力的最佳蛋白质组策略.
科学领域:
- 微生物生理学和系统生物学.
- 计算生物学和生物信息学.
背景情况:
- 微生物通用学家利用综合应激反应来适应各种环境挑战.
- 现有的大肠杆菌代谢和表达 (ME) 模型量化了个体应激反应 (热,氧化,酸),但缺乏交叉应激分析.
研究的目的:
- 开发StressME,一个统一的ME模型,整合热 (FoldME),氧化 (OxidizeME) 和酸 (AcidifyME) 在大肠杆菌中的压力反应.
- 系统量化这些综合应激反应之间的交叉压力和交叉对话.
- 在联合压力条件下确定最佳的蛋白质组分配策略.
主要方法:
- 开发了StressME,这是对大肠杆菌的更新ME模型,包含了精细的速率常数.
- 对现有的单应力ME模型和野生类型和进化菌株的实验数据进行压力ME的验证.
- 通过模拟应对联合压力的反应来分析蛋白质组分配策略.
主要成果:
- 压力ME准确地复制了已发表的单压力ME模型,并提高了预测准确度.
- 该模型揭示了特定的蛋白质组分配策略,这些策略是由保护性和代谢性酶之间的权衡,伴侣本地化和压力特定蛋白质表达形成的.
- 确定了交叉压力和交叉谈话反应的最佳策略.
结论:
- StressME提供了一个统一的框架,用于理解大肠杆菌中微生物综合应激反应.
- 该模型提供了关于微生物适应机制和在环境压力组合下蛋白质组动态的见解.
- 压力ME对于工程和健康应用非常有价值,其模块化设计支持社区扩张.
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