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中文摘要
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项目总结/摘要 细菌会产生生理应激反应,以在恶劣或苛刻的条件下生存。这些压力重新- 海绵体塑造了生活在我们体内、体表和周围的微生物群落。尽管压力的重要性 虽然我们对微生物如何耐受复杂的压力源组合知之甚少。 该提案将回答关于微生物应激反应的三个首要问题。1.)怎么 细菌对多重压力的反应2.)压力如何重塑微生物的组成和稳定性 社区?3.)第三章我们能多快了解新发现的细菌的应激反应?在回答 这些问题,几个假设将使用一致的实验和理论框架进行评估。 致病性链球菌的应激反应网络将在多个尺度上进行表征。从长远来看, 我们的目标是开发工具来分析和靶向人类微生物组中的复杂应激反应。 我们正在申请补充资金,以购买自动共聚焦成像读板器进行研究 多物种生物膜中的压力反应网络。这些实验建立在两个发展的基础上, 本项目:1.)发现一类新的调节细胞间通讯的ComRS信号通路, 口腔链球菌中的阳离子;和2.)一个人工智能驱动的系统,用于通过自动化 实验
英文摘要
Project Summary/Abstract Bacteria mount a physiologic stress response to survive hostile or stringent conditions. These stress re- sponses shape the microbial communities that live in, on, and around us. Despite the importance of stress responses, we know little about how microbes tolerate complex combinations of stressors. This proposal will answer three overarching questions regarding microbial stress responses. 1.) How do bacteria response to multiple stressors? 2.) How does stress reshape the composition and stability of microbial communities? 3.) How quickly can we learn the stress responses of newly discovered bacteria? In answering these questions, several hypotheses will be evaluated using a consistent experimental and theoretical framework. The stress response networks of pathogenic streptococci will be characterized across multiple scales. Long term, our goal is to develop tools to analyze and target complex stress responses in the human microbiome. We are requesting supplemental funding to purchase an automated confocal imaging plate reader to study stress response networks in multispecies biofilms. Such experiments build on two developments made during this project: 1.) the discovery of a new class of ComRS signaling pathway that regulates intercellular communi- cation in oral streptococci; and 2.) an AI-driven system for characterizing complex phenotypes with automated experiments.
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Microbial multi-stress responses: from intracellular networks to communities
Microbial multi-stress responses: from intracellular networks to communities
Microbial multi-stress responses: from intracellular networks to communities
Microbial multi-stress responses: from intracellular networks to communities
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