Experimental and Computational Systems Analysis of Stress Responses in Lactococcus

乳球菌应激反应的实验和计算系统分析

• 批准号: 0958172
• 负责人: Eberhard Voit
• 金额: $ 70.37万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-01 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0958172&HistoricalAwards=false
• 关键词: Experimental; Computational; Systems; Analysis; Stress

The goal of this research is to provide a deeper understanding of the responses of Lactococcus lactis to fluctuations in its environment and to alterations in its genomic and metabolic make-up. Cross-disciplinary investigations of genomic and metabolic control in this bacterium will combine experimental studies using noninvasive in vivo nuclear magnetic resonance techniques with mathematical, statistical and computational modeling. Novel computational and statistical methods of genome inference, metabolic analysis, and model construction will be developed from experimental time series data. Analytical methods for understanding the bacterium's control of glycolysis will be extended to include noisy or incomplete data, and toward predictions with respect to multi-level control and regulation under untested experimental conditions. This project will result in a detailed understanding of sugar and energy metabolism in L. lactis and generate hypotheses about the underlying design and operating principles of physiological control tasks. These will have relevance beyond this particular organism and advance our understanding of fundamental mechanisms that are central to the evolution of life. The broader impact of the project includes the multi-faceted involvement in systems biological research of students with diverse backgrounds. First, the research will serve as a teaching and training tool for students and postdocs who are intrigued by the multi-disciplinary nature of systems biology. Second, the research is part of a test bed for an innovative cognitive study of the learning processes that must be mastered by any newcomer to the complex field of systems biology. Third, the research constitutes an emerging comprehensive case study for a graduate program in integrative systems biology that is being developed at Georgia Tech for students with different scientific backgrounds.This proposal is co-funded by the Cellular Systems Cluster in the Division of Molecular and Cellular Biosciences and the Physiological and Structural Systems Cluster in the Division of Integrative Organismal Systems.

这项研究的目的是提供一个更深入的了解乳酸乳球菌在其环境中的波动和改变其基因组和代谢组成的反应。在这种细菌的基因组和代谢控制的跨学科研究将结合联合收割机的实验研究，使用非侵入性的体内核磁共振技术与数学，统计和计算建模。新的计算和统计方法的基因组推断，代谢分析和模型构建将开发从实验时间序列数据。用于理解细菌对糖酵解的控制的分析方法将被扩展到包括噪声或不完整的数据，并在未经测试的实验条件下对多级控制和调节进行预测。本项目将导致详细了解糖和能量代谢的L。lactis和生成关于生理控制任务的基本设计和操作原理的假设。这些将超越这个特定的有机体，并推进我们对生命进化核心的基本机制的理解。该项目更广泛的影响包括具有不同背景的学生多方面参与系统生物学研究。首先，这项研究将作为学生和博士后的教学和培训工具，他们对系统生物学的多学科性质感兴趣。其次，这项研究是一个试验台的一部分，用于对学习过程进行创新性认知研究，任何新进入复杂的系统生物学领域的人都必须掌握这些研究。第三，这项研究构成了一个新兴的综合系统生物学研究生课程的综合案例研究，该课程是在格鲁吉亚理工学院为具有不同科学背景的学生开发的，该项目由分子和细胞生物科学部的细胞系统集群和综合有机体系统部的生理和结构系统集群共同资助。