2006
DOI: 10.1126/science.1131969
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Engineering Yeast Transcription Machinery for Improved Ethanol Tolerance and Production

Abstract: Global transcription machinery engineering (gTME) is an approach for reprogramming gene transcription to elicit cellular phenotypes important for technological applications. Here we show the application of gTME to Saccharomyces cerevisiae for improved glucose/ethanol tolerance, a key trait for many biofuels programs. Mutagenesis of the transcription factor Spt15p and selection led to dominant mutations that conferred increased tolerance and more efficient glucose conversion to ethanol. The desired phenotype re… Show more

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Cited by 736 publications
(529 citation statements)
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“…This knowledge is poised for use in the systematic design of highly efficient biofuel production pathways. This global approach is nicely illustrated by recent publications showing the effect of various transcription factors on ethanol tolerance and production in E. coli and S. cerevisiae [68,69].…”
Section: Major Challenges and Future Directionsmentioning
confidence: 87%
“…This knowledge is poised for use in the systematic design of highly efficient biofuel production pathways. This global approach is nicely illustrated by recent publications showing the effect of various transcription factors on ethanol tolerance and production in E. coli and S. cerevisiae [68,69].…”
Section: Major Challenges and Future Directionsmentioning
confidence: 87%
“…However, it still faces some challenges, such as ameliorating the toxic effects of intermediates and products of interest (Keasling, 2010). Numerous studies have focused on increasing the tolerance of different production strains toward various biochemicals using different strategies (Alper, Moxley, Nevoigt, Fink, & Stephanopoulos, 2006; Atsumi et al, 2010; Dunlop et al, 2011; Goodarzi et al, 2010). An alternative to this approach is to identify alternative production hosts that are naturally tolerant to higher concentrations of the chemicals of interest.…”
Section: Introductionmentioning
confidence: 99%
“…Improving product yields or pathway efficiencies, however, requires optimization of various metabolic pathways in the cellular metabolism-a difficult task using rational approaches 5 . Advances in generating diverse cellular phenotypes have made it possible to achieve a desired phenotype through directed evolution [6][7][8][9] . Nevertheless, because a majority of target products of interest are not associated with a conspicuous phenotype, the improved strains are beyond the reach of a general screening tool and cannot be readily obtained 10 .…”
mentioning
confidence: 99%