STEPHEN QUAKE PRT TIME

斯蒂芬雷克 PRT 时间

• 批准号: 8362085
• 负责人: STEPHEN R QUAKE
• 金额: $ 0.03万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-03-01 至 2012-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8362085
• 关键词: Acetates; Carbon; Computer Simulation; Escherichia coli; Funding; Generations; Genes; Glucose; Glycerol; Glycerol Kinase; Grant; Growth; Malates; Maps; Metabolic; Modeling; Mutation; National Center for Research Resources; Point Mutation; Principal Investigator; Radiation; Research; Research Infrastructure; Resources; Source; Testing; United States National Institutes of Health; cost; mutant; structural biology

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. A computational model was introduced to predict optimal growth rates of E. coli on several carbon substrates including glucose, glycerol, malate, and acetate (1). Experimental testing of the model showed that E. coli grew optimally on all carbon substrates tested except glycerol. E. coli was subject to growth on glycerol over several generations and it evolved to the optimal predicted growth rate. The metabolic genes were sequenced to identify mutations responsible for the optimized growth rates. In total, eleven different point mutations were identified, and eight of the eleven mutations were in the glycerol kinase gene. The mutations were mapped to highly regulated domains of glycerol kinase. The glycerol kinase mutants have been expressed and structural analysis is underway to determine how these mutations caused an increased growth rate of E. coli on glycerol.

该副本是利用资源的众多研究子项目之一 由NIH/NCRR资助的中心赠款提供。对该子弹的主要支持 而且，副投影的主要研究员可能是其他来源提供的 包括其他NIH来源。 列出的总费用可能 代表subproject使用的中心基础架构的估计量， NCRR赠款不直接向子弹或副本人员提供的直接资金。 引入了一个计算模型，以预测大肠杆菌在包括葡萄糖，甘油，苹果酸和醋酸酯在内的几种碳底物上的最佳生长速率（1）。 该模型的实验测试表明，大肠杆菌在除甘油以外测试的所有碳底物上最佳生长。 大肠杆菌在几代人的甘油上受到甘油的生长，并演变为最佳预测生长速率。 对代谢基因进行测序以识别导致优化生长速率的突变。 总共确定了11个不同的点突变，其中十一个突变中有8个突变在甘油激酶基因中。 将突变映射到高度调节的甘油激酶结构域。 已经表达了甘油激酶突变体，并且正在进行结构分析，以确定这些突变如何导致大肠杆菌在甘油上的生长率提高。