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Tuning genetic control through promoter engineering
Open accessAbstract
Gene function is typically evaluated by sampling the continuum of gene expression at only a few discrete points corresponding to gene knockout or overexpression. We argue that this characterization is incomplete and present a library of engineered promoters of varying strengths obtained through mutagenesis of a constitutive promoter. A multifaceted characterization of the library, especially at the single-cell level to ensure homogeneity, permitted quantitative assessment correlating the effect of gene expression levels to improved growth and product formation phenotypes in Escherichia coli . Integration of these promoters into the chromosome can allow for a quantitative accurate assessment of genetic control. To this end, we used the characterized library of promoters to assess the impact of phosphoenolpyruvate carboxylase levels on growth yield and deoxy-xylulose-P synthase levels on lycopene production. The multifaceted characterization of promoter strength enabled identification of optimal expression levels for ppc and dxs , which maximized the desired phenotype. Additionally, in a strain preengineered to produce lycopene, the response to deoxy-xylulose-P synthase levels was linear at all levels tested, indicative of a rate-limiting step, unlike the parental strain, which exhibited an optimum expression level, illustrating that optimal gene expression levels are variable and dependent on the genetic background of the strain. This promoter library concept is illustrated as being generalizable to eukaryotic organisms ( Saccharomyces cerevisiae ) and thus constitutes an integral platform for functional genomics, synthetic biology, and metabolic engineering endeavors.
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van der Meer, J. R., & Belkin, S. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2392 · Cited by 533
Composability of regulatory sequences controlling transcription and translation in Escherichia coli
Kosuri, S., Goodman, D. B., Cambray, G., Mutalik, V. K., Gao, Y., Arkin, A. P., Endy, D., & Church, G. M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301301110 · Cited by 392
Next-generation synthetic gene networks
Lu, T. K., Khalil, A. S., & Collins, J. J. (2009) · Nature Biotechnology · doi:10.1038/nbt.1591 · Cited by 365
Combinatorial metabolic engineering using an orthogonal tri-functional CRISPR system
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Metadata
- Authors
- Alper, H., Fischer, C., Nevoigt, E., & Stephanopoulos, G.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-08-25
- Volume
- 102
- Issue
- 36
- Pages
- 12678-12683
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2134783465
- Cited by
- 893
- References
- 1
- FWCI
- 6.45
- Type
- journal article
- Language
- en
- Update notices
- correction (2006-02-02)
- Open access
- green
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