Literature DB >> 20600383

Identification of gene targets eliciting improved alcohol tolerance in Saccharomyces cerevisiae through inverse metabolic engineering.

Min-Eui Hong1, Ki-Sung Lee, Byung Jo Yu, Young-Je Sung, Sung Min Park, Hyun Min Koo, Dae-Hyuk Kweon, Jae Chan Park, Yong-Su Jin.   

Abstract

The economic production of biofuels from renewable biomass using Saccharomyces cerevisiae requires tolerance to high concentrations of sugar and alcohol. Here we applied an inverse metabolic engineering approach to identify endogenous gene targets conferring improved alcohol tolerance in S. cerevisiae. After transformation with a S. cerevisiae genomic library, enrichment of the transformants exhibiting improved tolerance was performed by serial subculture in the presence of iso-butanol (1%). Through sequence analysis of the isolated plasmids from the selected transformants, four endogenous S. cerevisiae genes were identified as overexpression targets eliciting improved tolerance to both iso-butanol and ethanol. Overexpression of INO1, DOG1, HAL1 or a truncated form of MSN2 resulted in remarkably increased tolerance to high concentrations of iso-butanol and ethanol. Overexpression of INO1 elicited the highest ethanol tolerance, resulting in higher titers and volumetric productivities in the fermentation experiments performed with high glucose concentrations. In addition, the INO1-overexpressing strain showed a threefold increase in the specific growth rate as compared to that of the control strain under conditions of high levels of glucose (10%) and ethanol (5%). Although alcohol tolerance in yeast is a complex trait affected by simultaneous interactions of many genes, our results using a genomic library reveal potential target genes for better understanding and possible engineering of metabolic pathways underlying alcohol tolerance phenotypes. Crown Copyright 2010. Published by Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20600383     DOI: 10.1016/j.jbiotec.2010.06.006

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  20 in total

1.  Transcription factor Hap5 induces gsh2 expression to enhance 2-phenylethanol tolerance and production in an industrial yeast Candida glycerinogenes.

Authors:  Yuqin Wang; Zhongyuan Zhang; Xinyao Lu; Hong Zong; Bin Zhuge
Journal:  Appl Microbiol Biotechnol       Date:  2020-03-11       Impact factor: 4.813

Review 2.  Toxicological challenges to microbial bioethanol production and strategies for improved tolerance.

Authors:  Hannah Akinosho; Thomas Rydzak; Abhijeet Borole; Arthur Ragauskas; Dan Close
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3.  Mutant alcohol dehydrogenase leads to improved ethanol tolerance in Clostridium thermocellum.

Authors:  Steven D Brown; Adam M Guss; Tatiana V Karpinets; Jerry M Parks; Nikolai Smolin; Shihui Yang; Miriam L Land; Dawn M Klingeman; Ashwini Bhandiwad; Miguel Rodriguez; Babu Raman; Xiongjun Shao; Jonathan R Mielenz; Jeremy C Smith; Martin Keller; Lee R Lynd
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-08       Impact factor: 11.205

4.  Time-based comparative transcriptomics in engineered xylose-utilizing Saccharomyces cerevisiae identifies temperature-responsive genes during ethanol production.

Authors:  Ku Syahidah Ku Ismail; Takatoshi Sakamoto; Tomohisa Hasunuma; Akihiko Kondo
Journal:  J Ind Microbiol Biotechnol       Date:  2013-06-09       Impact factor: 3.346

Review 5.  Engineering microbial factories for synthesis of value-added products.

Authors:  Jing Du; Zengyi Shao; Huimin Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2011-04-28       Impact factor: 3.346

6.  Improved Acetic Acid Resistance in Saccharomyces cerevisiae by Overexpression of the WHI2 Gene Identified through Inverse Metabolic Engineering.

Authors:  Yingying Chen; Lisa Stabryla; Na Wei
Journal:  Appl Environ Microbiol       Date:  2016-01-29       Impact factor: 4.792

7.  Clostridium thermocellum ATCC27405 transcriptomic, metabolomic and proteomic profiles after ethanol stress.

Authors:  Shihui Yang; Richard J Giannone; Lezlee Dice; Zamin K Yang; Nancy L Engle; Timothy J Tschaplinski; Robert L Hettich; Steven D Brown
Journal:  BMC Genomics       Date:  2012-07-23       Impact factor: 3.969

Review 8.  Genome-wide analytical approaches for reverse metabolic engineering of industrially relevant phenotypes in yeast.

Authors:  Bart Oud; Antonius J A van Maris; Jean-Marc Daran; Jack T Pronk
Journal:  FEMS Yeast Res       Date:  2012-01-10       Impact factor: 2.796

9.  Statistics-based model for prediction of chemical biosynthesis yield from Saccharomyces cerevisiae.

Authors:  Arul M Varman; Yi Xiao; Effendi Leonard; Yinjie J Tang
Journal:  Microb Cell Fact       Date:  2011-06-21       Impact factor: 5.328

10.  Microevolution from shock to adaptation revealed strategies improving ethanol tolerance and production in Thermoanaerobacter.

Authors:  Lu Lin; Yuetong Ji; Qichao Tu; Ranran Huang; Lin Teng; Xiaowei Zeng; Houhui Song; Kun Wang; Qian Zhou; Yifei Li; Qiu Cui; Zhili He; Jizhong Zhou; Jian Xu
Journal:  Biotechnol Biofuels       Date:  2013-07-22       Impact factor: 6.040

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