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Predictive and Interpretive Simulation of Green Fluorescent Protein Expression in Reporter Bacteria
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- β - 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.
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Cites
Role of a peptide tagging system in degradation of proteins synthesized from damaged messenger RNA
Keiler, K. C., Waller, P. R. H., & Sauer, R. T. (1996) · Science · doi:10.1126/science.271.5251.990 · Cited by 1,125
Cited by
Tuning genetic control through promoter engineering
Alper, H., Fischer, C., Nevoigt, E., & Stephanopoulos, G. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504604102 · Cited by 893
Quantitative Characteristics of Gene Regulation by Small RNA
Levine, E., Zhang, Z., Kuhlman, T., & Hwa, T. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050229 · Cited by 384
Metadata
- Authors
- Leveau, J. H. J., & Lindow, S. E.
- Venue
- Journal of Bacteriology
- Publisher
- American Society for Microbiology
- Published
- 2001-12
- Volume
- 183
- Issue
- 23
- Pages
- 6752-6762
- ISSN
- 0021-9193 (ISSN-L)
- 1098-5530
- OpenAlex
- W2137325336
- Cited by
- 195
- References
- 1
- FWCI
- 1.09
- Type
- journal article
- Language
- en
- Open access
- closed
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- Leveau, J. H. J., & Lindow, S. E. (2001). Predictive and Interpretive Simulation of Green Fluorescent Protein Expression in Reporter Bacteria. Journal of Bacteriology. https://doi.org/10.1128/jb.183.23.6752-6762.2001
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