STEPHEN QUAKE PRT TIME

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 引入了一个计算模型来预测大肠杆菌在几种碳基质上的最佳生长速度，包括葡萄糖、甘油、苹果酸和醋酸酯(1)。模型的实验测试表明，除甘油外，大肠杆菌在所有被测试的碳基质上生长都是最好的。大肠杆菌在甘油上生长了几代，并进化到了最优的预测生长速度。对代谢基因进行了测序，以确定导致最佳生长速度的突变。总共确定了11个不同的点突变，其中8个突变位于甘油激酶基因中。这些突变被映射到甘油激酶高度调控的区域。甘油激酶突变体已经表达，结构分析正在进行中，以确定这些突变是如何导致大肠杆菌在甘油上的生长速度加快的。

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.