Title |
Quorum-sensing linked RNA interference for dynamic metabolic pathway control in Saccharomyces cerevisiae
|
---|---|
Published in |
Metabolic Engineering, March 2015
|
DOI | 10.1016/j.ymben.2015.03.008 |
Pubmed ID | |
Authors |
T.C. Williams, N.J.H. Averesch, G. Winter, M.R. Plan, C.E. Vickers, L.K. Nielsen, J.O. Krömer |
Abstract |
Some of the most productive metabolic engineering strategies involve genetic modifications that cause severe metabolic burden on the host cell. Growth-limiting genetic modifications can be more effective if they are 'switched on' after a population growth phase has been completed. To address this problem we have engineered dynamic regulation using a previously developed synthetic quorum sensing circuit in Saccharomyces cerevisiae. The circuit autonomously triggers gene expression at a high population density, and was linked with an RNA interference module to enable target gene silencing. As a demonstration the circuit was used to control flux through the shikimate pathway for the production of para-hydroxybenzoic acid (PHBA). Dynamic RNA repression allowed gene knock-downs which were identified by elementary flux mode analysis as highly productive but with low biomass formation to be implemented after a population growth phase, resulting in the highest published PHBA titer in yeast (1.1mM). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 2 | 20% |
United Kingdom | 1 | 10% |
France | 1 | 10% |
United States | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 80% |
Scientists | 1 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Denmark | 1 | <1% |
Singapore | 1 | <1% |
Spain | 1 | <1% |
China | 1 | <1% |
Unknown | 168 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 25% |
Researcher | 37 | 21% |
Student > Master | 17 | 10% |
Student > Bachelor | 16 | 9% |
Student > Doctoral Student | 8 | 5% |
Other | 15 | 9% |
Unknown | 38 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 53 | 30% |
Biochemistry, Genetics and Molecular Biology | 47 | 27% |
Chemical Engineering | 9 | 5% |
Engineering | 9 | 5% |
Chemistry | 2 | 1% |
Other | 5 | 3% |
Unknown | 49 | 28% |