Literature DB >> 20652356

Drug resistance marker-aided genome shuffling to improve acetic acid tolerance in Saccharomyces cerevisiae.

Dao-Qiong Zheng1, Xue-Chang Wu, Pin-Mei Wang, Xiao-Qin Chi, Xiang-Lin Tao, Ping Li, Xin-Hang Jiang, Yu-Hua Zhao.   

Abstract

Acetic acid existing in a culture medium is one of the most limiting constraints in yeast growth and viability during ethanol fermentation. To improve acetic acid tolerance in Saccharomyces cerevisiae strains, a drug resistance marker-aided genome shuffling approach with higher screen efficiency of shuffled mutants was developed in this work. Through two rounds of genome shuffling of ultraviolet mutants derived from the original strain 308, we obtained a shuffled strain YZ2, which shows significantly faster growth and higher cell viability under acetic acid stress. Ethanol production of YZ2 (within 60 h) was 21.6% higher than that of 308 when 0.5% (v/v) acetic acid was added to fermentation medium. Membrane integrity, higher in vivo activity of the H+-ATPase, and lower oxidative damage after acetic acid treatment are the possible reasons for the acetic acid-tolerance phenotype of YZ2. These results indicated that this novel genome shuffling approach is powerful to rapidly improve the complex traits of industrial yeast strains.

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Year:  2010        PMID: 20652356     DOI: 10.1007/s10295-010-0784-8

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN: 1367-5435            Impact factor:   3.346


  30 in total

1.  Genome shuffling leads to rapid phenotypic improvement in bacteria.

Authors:  Ying-Xin Zhang; Kim Perry; Victor A Vinci; Keith Powell; Willem P C Stemmer; Stephen B del Cardayré
Journal:  Nature       Date:  2002-02-07       Impact factor: 49.962

2.  The H(+)-ATPase in the plasma membrane of Saccharomyces cerevisiae is activated during growth latency in octanoic acid-supplemented medium accompanying the decrease in intracellular pH and cell viability.

Authors:  C A Viegas; P F Almeida; M Cavaco; I Sá-Correia
Journal:  Appl Environ Microbiol       Date:  1998-02       Impact factor: 4.792

3.  Yeast genes involved in response to lactic acid and acetic acid: acidic conditions caused by the organic acids in Saccharomyces cerevisiae cultures induce expression of intracellular metal metabolism genes regulated by Aft1p.

Authors:  Miho Kawahata; Kazuo Masaki; Tsutomu Fujii; Haruyuki Iefuji
Journal:  FEMS Yeast Res       Date:  2006-09       Impact factor: 2.796

Review 4.  Genomic adaptation of ethanologenic yeast to biomass conversion inhibitors.

Authors:  Z Lewis Liu
Journal:  Appl Microbiol Biotechnol       Date:  2006-10-07       Impact factor: 4.813

5.  High-efficiency yeast transformation using the LiAc/SS carrier DNA/PEG method.

Authors:  R Daniel Gietz; Robert H Schiestl
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

6.  Genome shuffling in Clostridium diolis DSM 15410 for improved 1,3-propanediol production.

Authors:  Burkhard Otte; Eike Grunwaldt; Osama Mahmoud; Stefan Jennewein
Journal:  Appl Environ Microbiol       Date:  2009-10-23       Impact factor: 4.792

7.  Genome shuffling to improve thermotolerance, ethanol tolerance and ethanol productivity of Saccharomyces cerevisiae.

Authors:  Dong-jian Shi; Chang-lu Wang; Kui-ming Wang
Journal:  J Ind Microbiol Biotechnol       Date:  2008-10-10       Impact factor: 3.346

8.  Novel methods of genome shuffling in Saccharomyces cerevisiae.

Authors:  Lihua Hou
Journal:  Biotechnol Lett       Date:  2009-01-20       Impact factor: 2.461

9.  Genome shuffling in the ethanologenic yeast Candida krusei to improve acetic acid tolerance.

Authors:  Pingying Wei; Zilong Li; Peng He; Yuping Lin; Ning Jiang
Journal:  Biotechnol Appl Biochem       Date:  2008-02       Impact factor: 2.431

Review 10.  Oxidative stress, glutamate, and neurodegenerative disorders.

Authors:  J T Coyle; P Puttfarcken
Journal:  Science       Date:  1993-10-29       Impact factor: 47.728

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  15 in total

1.  Streptomycin resistance-aided genome shuffling to improve doramectin productivity of Streptomyces avermitilis NEAU1069.

Authors:  Ji Zhang; Xiangjing Wang; Jinna Diao; Hairong He; Yuejing Zhang; Wensheng Xiang
Journal:  J Ind Microbiol Biotechnol       Date:  2013-05-09       Impact factor: 3.346

2.  Inactivation of the transcription factor mig1 (YGL035C) in Saccharomyces cerevisiae improves tolerance towards monocarboxylic weak acids: acetic, formic and levulinic acid.

Authors:  Victor E Balderas-Hernández; Kevin Correia; Radhakrishnan Mahadevan
Journal:  J Ind Microbiol Biotechnol       Date:  2018-06-06       Impact factor: 3.346

3.  Breeding of a xylose-fermenting hybrid strain by mating genetically engineered haploid strains derived from industrial Saccharomyces cerevisiae.

Authors:  Hiroyuki Inoue; Seitaro Hashimoto; Akinori Matsushika; Seiya Watanabe; Shigeki Sawayama
Journal:  J Ind Microbiol Biotechnol       Date:  2014-10-30       Impact factor: 3.346

Review 4.  Improving industrial yeast strains: exploiting natural and artificial diversity.

Authors:  Jan Steensels; Tim Snoek; Esther Meersman; Martina Picca Nicolino; Karin Voordeckers; Kevin J Verstrepen
Journal:  FEMS Microbiol Rev       Date:  2014-05-08       Impact factor: 16.408

5.  Enhanced poly-γ-L-diaminobutanoic acid production in Bacillus pumilus by combining genome shuffling with multiple antibiotic-resistance.

Authors:  Shu Li; Liang Wang; Nan Wang
Journal:  J Ind Microbiol Biotechnol       Date:  2020-09-29       Impact factor: 3.346

6.  Genome sequencing and genetic breeding of a bioethanol Saccharomyces cerevisiae strain YJS329.

Authors:  Dao-Qiong Zheng; Pin-Mei Wang; Jie Chen; Ke Zhang; Tian-Zhe Liu; Xue-Chang Wu; Yu-Dong Li; Yu-Hua Zhao
Journal:  BMC Genomics       Date:  2012-09-15       Impact factor: 3.969

7.  Lipidomic profiling of Saccharomyces cerevisiae and Zygosaccharomyces bailii reveals critical changes in lipid composition in response to acetic acid stress.

Authors:  Lina Lindberg; Aline Xs Santos; Howard Riezman; Lisbeth Olsson; Maurizio Bettiga
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

8.  Large-scale robot-assisted genome shuffling yields industrial Saccharomyces cerevisiae yeasts with increased ethanol tolerance.

Authors:  Tim Snoek; Martina Picca Nicolino; Stefanie Van den Bremt; Stijn Mertens; Veerle Saels; Alex Verplaetse; Jan Steensels; Kevin J Verstrepen
Journal:  Biotechnol Biofuels       Date:  2015-02-26       Impact factor: 6.040

9.  Investigate the Metabolic Reprogramming of Saccharomyces cerevisiae for Enhanced Resistance to Mixed Fermentation Inhibitors via 13C Metabolic Flux Analysis.

Authors:  Weihua Guo; Yingying Chen; Na Wei; Xueyang Feng
Journal:  PLoS One       Date:  2016-08-17       Impact factor: 3.240

10.  Improvement of Xylose Fermentation Ability under Heat and Acid Co-Stress in Saccharomyces cerevisiae Using Genome Shuffling Technique.

Authors:  Kentaro Inokuma; Ryo Iwamoto; Takahiro Bamba; Tomohisa Hasunuma; Akihiko Kondo
Journal:  Front Bioeng Biotechnol       Date:  2017-12-20
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