STEPHEN QUAKE PRT TIME

斯蒂芬雷克 PRT 时间

• 批准号: 7721919
• 负责人: STEPHEN R QUAKE
• 金额: $ 0.02万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-03-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7721919
• 关键词: Acetates; Carbon; Computer Retrieval of Information on Scientific Projects Database; Computer Simulation; Escherichia coli; Funding; Generations; Genes; Glucose; Glycerol; Glycerol Kinase; Grant; Growth; Institution; Malates; Maps; Metabolic; Modeling; Mutation; Point Mutation; Rate; Research; Research Personnel; Resources; Source; Testing; Time; United States National Institutes of Health; malate; mutant

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 本文介绍了一个计算模型来预测E.大肠杆菌对几种碳底物，包括葡萄糖，甘油，苹果酸和乙酸（1）。 模型的实验检验表明，E.大肠杆菌在除甘油外的所有碳底物上生长最佳。 E.大肠杆菌在甘油上生长几代，并进化到最佳预测生长速率。 对代谢基因进行测序，以鉴定负责优化生长速率的突变。 总共鉴定了11个不同的点突变，并且11个突变中的8个在甘油激酶基因中。 这些突变被定位到甘油激酶的高度调节的结构域。 甘油激酶突变体已经表达，结构分析正在进行中，以确定这些突变如何引起E.大肠杆菌对甘油的反应。