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  A System for Gene Expression Noise Control in Yeast

Mundt, M., Anders, A., Murray, S. M., & Sourjik, V. (2018). A System for Gene Expression Noise Control in Yeast. ACS SYNTHETIC BIOLOGY, 7(11), 2618-2626. doi:10.1021/acssynbio.8b00279.

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Mundt, Max1, Author           
Anders, Alexander1, Author           
Murray, Sean M.2, Author           
Sourjik, Victor1, Author           
Affiliations:
1Microbial Networks, Department of Systems and Synthetic Microbiology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society, Karl-von-Frisch-Strasse 10, D-35043 Marburg, DE, ou_3266309              
2Research Group Mechanisms of Spatial-Organisation, Department of Systems and Synthetic Microbiology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society, Karl-von-Frisch-Strasse 10, D-35043 Marburg, DE, ou_3266310              

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 Abstract: Gene expression noise arises from stochastic variation in the synthesis and degradation of mRNA and protein molecules and creates differences in protein numbers across populations of genetically identical cells. Such variability can lead to imprecision and reduced performance of both native and synthetic networks. In principle, gene expression noise can be controlled through the rates of transcription, translation and degradation, such that different combinations of those rates lead to the same protein concentrations but at different noise levels. Here, we present a "noise tuner" which allows orthogonal control over the transcription and the mRNA degradation rates by two different inducer molecules. Combining experiments with theoretical analysis, we show that in this system the noise is largely determined by the transcription rate, whereas the mean expression is determined by both the transcription rate and mRNA stability and can thus be decoupled from the noise. This noise tuner enables 2-fold changes in gene expression noise over a 5-fold range of mean protein levels. We demonstrated the efficacy of the noise tuner in a complex regulatory network by varying gene expression noise in the mating pathway of Saccharomyces cerevisiae, which allowed us to control the output noise and the mutual information transduced through the pathway. The noise tuner thus represents an effective tool of gene expression noise control, both to interrogate noise sensitivity of natural networks and enhance performance of synthetic circuits.

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 Dates: 2018-11
 Publication Status: Issued
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 Identifiers: eDoc: 747942
ISI: 000451100900016
DOI: 10.1021/acssynbio.8b00279
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Title: ACS SYNTHETIC BIOLOGY
Source Genre: Journal
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Pages: - Volume / Issue: 7 (11) Sequence Number: - Start / End Page: 2618 - 2626 Identifier: ISSN: 2161-5063