Microbial multi-stress responses: from intracellular networks to communities - Equipment Supplement

微生物多重应激反应：从细胞内网络到群落 - 设备补充

• 批准号: 10796123
• 负责人: Paul Anthony Jensen
• 金额: $ 24.95万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10796123
• 关键词: Affect; Artificial Intelligence; Bacteria; C10; Communities; Complex; Data; Data Analyses; Data Collection; Development; Disease; Environment; Equipment; Funding; Goals; Health; Human; Human Microbiome; Image; Incubators; Individual; Instruction; Knowledge; Laboratories; Learning; Liquid substance; Logic; Methods; Microbe; Microbial Biofilms; Modeling; Pathogenicity; Pathway interactions; Phase; Phenotype; Physiological; Process; Reader; Research; Research Personnel; Robot; Scientist; Shapes; Signal Pathway; Streptococcus; Stress; System; Time; Work; biological adaptation to stress; combinatorial; complex biological systems; confocal imaging; cytate; experimental study; fitness; in vivo; individual response; instrument; intelligent agent; intercellular communication; live cell imaging; member; microbial; microbial community; microbiome; oral streptococci; polymicrobial biofilm; quorum sensing; response; stressor; tool

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.

项目摘要/摘要 细菌通过生理应激反应在恶劣或严酷的环境中生存。这些压力重新-- 海绵塑造了生活在我们体内、我们身上和我们周围的微生物群落。尽管压力很重要 除了反应，我们对微生物如何耐受复杂的压力源组合知之甚少。 这项提案将回答有关微生物应激反应的三个主要问题。1)做什么 细菌对多种应激源的反应？)压力如何重塑微生物的组成和稳定性 社区？3.)我们能以多快的速度了解新发现的细菌的压力反应？在回答中 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被描述在多个尺度上。从长远来看， 我们的目标是开发工具来分析和定位人类微生物群中复杂的应激反应。 我们正在申请补充资金，以购买一台自动共聚焦成像板阅读器进行研究 多物种BiofiLMS中的胁迫响应网络。这些实验建立在两项发展的基础上， 本项目：1.)一类新的调节细胞间通讯的ComRS信号通路的发现 口腔链球菌中的阳离子；人工智能驱动的复杂表型自动表征系统 实验。