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Visualization and Analysis of mRNA Molecules Using Fluorescence In Situ Hybridization in Saccharomyces cerevisiae
Published on: June 14, 2013
Quorum-sensing linked RNA interference for dynamic metabolic pathway control in Saccharomyces cerevisiae
T C Williams1, N J H Averesch2, G Winter2
1Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, St. Lucia, QLD 4072, Australia.
Metabolic engineering uses dynamic regulation to control gene expression in yeast. This approach enhances production of compounds like para-hydroxybenzoic acid (PHBA) by delaying growth-limiting modifications until after cell growth.
Area of Science:
- Metabolic Engineering
- Synthetic Biology
- Biotechnology
Background:
- Metabolic engineering strategies often impose significant metabolic burden on host cells.
- Growth-limiting genetic modifications are most effective when activated post-growth phase.
- Controlling gene expression dynamically is crucial for optimizing cellular resource allocation.
Purpose of the Study:
- To engineer a dynamic regulatory system in Saccharomyces cerevisiae for controlled gene expression.
- To link a synthetic quorum sensing circuit with RNA interference for inducible gene silencing.
- To demonstrate the system's utility in enhancing the production of para-hydroxybenzoic acid (PHBA).
Main Methods:
- Engineered a synthetic quorum sensing circuit in Saccharomyces cerevisiae.
- Integrated an RNA interference (RNAi) module for target gene silencing.
- Utilized elementary flux mode analysis to identify optimal gene knock-downs.
- Applied dynamic RNA repression to control flux through the shikimate pathway.
Main Results:
- Successfully implemented dynamic gene silencing based on population density.
- Achieved the highest reported yeast-based para-hydroxybenzoic acid (PHBA) titer of 1.1mM.
- Enabled the application of highly productive but biomass-limiting gene modifications post-growth.
Conclusions:
- Dynamic regulation using synthetic quorum sensing and RNAi is a viable strategy in metabolic engineering.
- This approach allows for the temporal control of gene expression, optimizing production of valuable compounds.
- The developed system enhances microbial production by decoupling growth from the expression of burden-some genes.
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