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报告细菌中绿色荧光蛋白表达的预测性和解释性模拟

Predictive and interpretive simulation of green fluorescent protein expression in reporter bacteria.

作者信息

Leveau J H, Lindow S E

机构信息

Department of Plant & Microbial Biology, University of California, 111 Koshland Hall, Berkeley, CA 94720, USA.

出版信息

J Bacteriol. 2001 Dec;183(23):6752-62. doi: 10.1128/JB.183.23.6752-6762.2001.

Abstract

We have formulated a numerical model that simulates the accumulation of green fluorescent protein (GFP) in bacterial cells from a generic promoter-gfp fusion. The model takes into account the activity of the promoter, the time it takes GFP to mature into its fluorescent form, the susceptibility of GFP to proteolytic degradation, and the growth rate of the bacteria. From the model, we derived a simple formula with which promoter activity can be inferred easily and quantitatively from actual measurements of GFP fluorescence in growing bacterial cultures. To test the usefulness of the formula, we determined the activity of the LacI-repressible promoter P(A1/O4/O3) in response to increasing concentrations of the inducer IPTG (isopropyl-beta-D-thiogalactopyranoside) and were able to predict cooperativity between the LacI repressors on each of the two operator sites within P(A1/O4/O3). Aided by the model, we also quantified the proteolytic degradation of GFP[AAV], GFP[ASV], and GFP[LVA], which are popular variants of GFP with reduced stability in bacteria. Best described by Michaelis-Menten kinetics, the rate at which these variants were degraded was a function of the activity of the promoter that drives their synthesis: a weak promoter yielded proportionally less GFP fluorescence than a strong one. The degree of disproportionality is species dependent: the effect was more pronounced in Erwinia herbicola than in Escherichia coli. This phenomenon has important implications for the interpretation of fluorescence from bacterial reporters based on these GFP variants. The model furthermore predicted a significant effect of growth rate on the GFP content of individual bacteria, which if not accounted for might lead to misinterpretation of GFP data. In practice, our model will be helpful for prior testing of different combinations of promoter-gfp fusions that best fit the application of a particular bacterial reporter strain, and also for the interpretation of actual GFP fluorescence data that are obtained with that reporter.

摘要

我们构建了一个数值模型,该模型模拟了通用启动子 - gfp融合体在细菌细胞中绿色荧光蛋白(GFP)的积累情况。该模型考虑了启动子的活性、GFP成熟为荧光形式所需的时间、GFP对蛋白水解降解的敏感性以及细菌的生长速率。通过该模型,我们推导出了一个简单公式,利用该公式可以根据生长中的细菌培养物中GFP荧光的实际测量值轻松且定量地推断启动子活性。为了测试该公式的实用性,我们测定了LacI可阻遏启动子P(A1/O4/O3)对诱导剂IPTG(异丙基 - β - D - 硫代半乳糖苷)浓度增加的响应,并能够预测P(A1/O4/O3)内两个操纵位点上每个LacI阻遏物之间的协同作用。在该模型的辅助下,我们还对GFP[AAV]、GFP[ASV]和GFP[LVA]的蛋白水解降解进行了定量,这些是在细菌中稳定性降低的GFP流行变体。用米氏动力学能最好地描述这些变体的降解速率,其降解速率是驱动它们合成的启动子活性的函数:弱启动子产生的GFP荧光比强启动子成比例地少。不成比例的程度因物种而异:在草生欧文氏菌中比在大肠杆菌中更明显。这种现象对于基于这些GFP变体的细菌报告基因荧光的解释具有重要意义。该模型还预测了生长速率对单个细菌中GFP含量有显著影响,若不考虑这一点可能会导致对GFP数据的错误解释。在实际应用中,我们的模型将有助于对最适合特定细菌报告菌株应用的启动子 - gfp融合体的不同组合进行预先测试,也有助于解释用该报告基因获得的实际GFP荧光数据。

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