2010
DOI: 10.1534/genetics.110.121871
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Exploiting Natural Variation inSaccharomyces cerevisiaeto Identify Genes for Increased Ethanol Resistance

Abstract: Ethanol production from lignocellulosic biomass holds promise as an alternative fuel. However, industrial stresses, including ethanol stress, limit microbial fermentation and thus prevent cost competitiveness with fossil fuels. To identify novel engineering targets for increased ethanol tolerance, we took advantage of natural diversity in wild Saccharomyces cerevisiae strains. We previously showed that an S288c-derived lab strain cannot acquire higher ethanol tolerance after a mild ethanol pretreatment, which … Show more

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Cited by 89 publications
(115 citation statements)
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“…A significant fraction of hotspot loci, including additive and epi-hotspots, include candidate causal regulators and transcription factors; others implicate genes that influence physiology via enzymatic or transporter functions. Given that we previously showed that many of the transcript differences affect ethanol tolerance (Lewis et al 2010), these results suggest insights into ethanol-stress defense. A recurring theme among affected genes links to respiration and carbon metabolism (Table 3 and Figure 4); this is consistent with a prior screen of the yeast deletion library that found that strains lacking respiratory components showed increased ethanol sensitivity (Yoshikawa et al 2009).…”
Section: Discussionsupporting
confidence: 53%
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“…A significant fraction of hotspot loci, including additive and epi-hotspots, include candidate causal regulators and transcription factors; others implicate genes that influence physiology via enzymatic or transporter functions. Given that we previously showed that many of the transcript differences affect ethanol tolerance (Lewis et al 2010), these results suggest insights into ethanol-stress defense. A recurring theme among affected genes links to respiration and carbon metabolism (Table 3 and Figure 4); this is consistent with a prior screen of the yeast deletion library that found that strains lacking respiratory components showed increased ethanol sensitivity (Yoshikawa et al 2009).…”
Section: Discussionsupporting
confidence: 53%
“…Over half of the genome (3287/6532 genes) exhibited differential ethanol-responsive expression (FDR , 0.01) in at least one strain (File S5). This fraction is significantly higher than that of our previous study (Lewis et al 2010), likely a reflection of increased statistical power from additional replicates and improved array technology (Brem et al 2002;Smith and Kruglyak 2008). …”
Section: Extensive Natural Variation In Ethanol-responsive Transcriptcontrasting
confidence: 59%
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