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Demand theory of gene regulation. II. Quantitative application to the lactose and maltose operons of Escherichia coli.

机译:基因调控的需求理论。二。定量应用于大肠杆菌的乳糖和麦芽糖操纵子。

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摘要

Induction of gene expression can be accomplished either by removing a restraining element (negative mode of control) or by providing a stimulatory element (positive mode of control). According to the demand theory of gene regulation, which was first presented in qualitative form in the 1970s, the negative mode will be selected for the control of a gene whose function is in low demand in the organism's natural environment, whereas the positive mode will be selected for the control of a gene whose function is in high demand. This theory has now been further developed in a quantitative form that reveals the importance of two key parameters: cycle time C, which is the average time for a gene to complete an ON/OFF cycle, and demand D, which is the fraction of the cycle time that the gene is ON. Here we estimate nominal values for the relevant mutation rates and growth rates and apply the quantitative demand theory to the lactose and maltose operons of Escherichia coli. The results define regions of the C vs. D plot within which selection for the wild-type regulatory mechanisms is realizable, and these in turn provide the first estimates for the minimum and maximum values of demand that are required for selection of the positive and negative modes of gene control found in these systems. The ratio of mutation rate to selection coefficient is the most relevant determinant of the realizable region for selection, and the most influential parameter is the selection coefficient that reflects the reduction in growth rate when there is superfluous expression of a gene. The quantitative theory predicts the rate and extent of selection for each mode of control. It also predicts three critical values for the cycle time. The predicted maximum value for the cycle time C is consistent with the lifetime of the host. The predicted minimum value for C is consistent with the time for transit through the intestinal tract without colonization. Finally, the theory predicts an optimum value of C that is in agreement with the observed frequency for E. coli colonizing the human intestinal tract.
机译:基因表达的诱导可以通过去除抑制元件(阴性控制模式)或提供刺激性元件(阳性控制模式)来实现。根据1970年代首次以定性形式提出的基因调节需求理论,将选择负模式来控制在生物自然环境中功能低需求的基因,而正模式将选择负模式。选择用于控制其功能迫切的基因。现在,该理论已经以定量形式得到了进一步发展,它揭示了两个关键参数的重要性:循环时间C(即基因完成一个ON / OFF循环的平均时间)和需求D(其为基因的分数)。基因打开的循环时间。在这里,我们估计相关突变率和增长率的标称值,并将定量需求理论应用于大肠杆菌的乳糖和麦芽糖操纵子。结果定义了C与D图的区域,在其中可以实现对野生型调节机制的选择,而这些反过来又为选择正负选择所需的最小和最大值提供了第一估算。这些系统中存在基因控制模式。突变率与选择系数的比值是选择可实现区域的最重要决定因素,而最具影响力的参数是反映多余基因表达时增长率降低的选择系数。定量理论预测每种控制模式的选择率和范围。它还预测了循环时间的三个关键值。循环时间C的预测最大值与主机的寿命一致。 C的预测最小值与没有定植通过肠道的时间一致。最后,该理论预测了C的最佳值,该值与大肠杆菌在人肠道中定殖的观察频率一致。

著录项

  • 期刊名称 Genetics
  • 作者

    M A Savageau;

  • 作者单位
  • 年(卷),期 1998(149),4
  • 年度 1998
  • 页码 1677–1691
  • 总页数 16
  • 原文格式 PDF
  • 正文语种
  • 中图分类 遗传学;
  • 关键词

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