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Article . 2006 . Peer-reviewed
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Science
Article . 2006
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Engineering Yeast Transcription Machinery for Improved Ethanol Tolerance and Production

Authors: Joel F. Moxley; Hal S. Alper; Elke Nevoigt; Elke Nevoigt; Gerald R. Fink; Gregory Stephanopoulos;

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 results from the combined effect of three separate mutations in the SPT15 gene [serine substituted for phenylalanine (Phe 177 Ser) and, similarly, Tyr 195 His, and Lys 218 Arg]. Thus, gTME can provide a route to complex phenotypes that are not readily accessible by traditional methods.

Keywords

TATA-Binding Protein Associated Factors, Saccharomyces cerevisiae Proteins, Ethanol, Transcription, Genetic, Gene Expression Profiling, Cell Cycle Proteins, Saccharomyces cerevisiae, TATA-Box Binding Protein, Up-Regulation, Glucose, Phenotype, Transformation, Genetic, Amino Acid Substitution, Mutagenesis, Gene Expression Regulation, Fungal, Fermentation, Transcription Factor TFIID, Genetic Engineering, Transcription Factors

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    702
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
702
Top 0.1%
Top 1%
Top 1%
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Energy Research