Literature DB >> 30076552

Rationally designed perturbation factor drives evolution in Saccharomyces cerevisiae for industrial application.

Xin Xu1,2,3, Chunfeng Liu1,2,3, Chengtuo Niu1,2,3, Jinjing Wang1,2,3, Feiyun Zheng1,2,3, Yongxian Li1,2,3, Qi Li4,5,6.   

Abstract

Saccharomyces cerevisiae strains with favorable characteristics are preferred for application in industries. However, the current ability to reprogram a yeast cell on the genome scale is limited due to the complexity of yeast ploids. In this study, a method named genome replication engineering-assisted continuous evolution (GREACE) was proved efficient in engineering S. cerevisiae with different ploids. Through iterative cycles of culture coupled with selection, GREACE could continuously improve the target traits of yeast by accumulating beneficial genetic modification in genome. The application of GREACE greatly improved the tolerance of yeast against acetic acid compared with their parent strain. This method could also be employed to improve yeast aroma profile and the phenotype could be stably inherited to the offspring. Therefore, GREACE method was efficient in S. cerevisiae engineering and it could be further used to evolve yeast with other specific characteristics.

Entities:  

Keywords:  Acetaldehyde; Acetic acid tolerance; DNA polymerase; GREACE method; Saccharomyces cerevisiae

Mesh:

Substances:

Year:  2018        PMID: 30076552     DOI: 10.1007/s10295-018-2057-x

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


  44 in total

1.  Comparative genome analysis of a thermotolerant Escherichia coli obtained by Genome Replication Engineering Assisted Continuous Evolution (GREACE) and its parent strain provides new understanding of microbial heat tolerance.

Authors:  Guodong Luan; Guanhui Bao; Zhao Lin; Yang Li; Zugen Chen; Yin Li; Zhen Cai
Journal:  N Biotechnol       Date:  2015-02-26       Impact factor: 5.079

Review 2.  Roles of POL3, POL2 and PMS1 genes in maintaining accurate DNA replication.

Authors:  A Morrison; A Sugino
Journal:  Chromosoma       Date:  1992       Impact factor: 4.316

3.  Evolution of the mutation rate.

Authors:  Michael Lynch
Journal:  Trends Genet       Date:  2010-06-30       Impact factor: 11.639

4.  Yeast/E. coli shuttle vectors with multiple unique restriction sites.

Authors:  J E Hill; A M Myers; T J Koerner; A Tzagoloff
Journal:  Yeast       Date:  1986-09       Impact factor: 3.239

5.  DNA replication error-induced extinction of diploid yeast.

Authors:  Alan J Herr; Scott R Kennedy; Gary M Knowels; Eric M Schultz; Bradley D Preston
Journal:  Genetics       Date:  2014-01-03       Impact factor: 4.562

6.  Genetically modified industrial yeast ready for application.

Authors:  Rinji Akada
Journal:  J Biosci Bioeng       Date:  2002       Impact factor: 2.894

7.  Microarray studies on lager brewer's yeasts reveal cell status in the process of autolysis.

Authors:  Weina Xu; Jinjing Wang; Qi Li
Journal:  FEMS Yeast Res       Date:  2014-04-28       Impact factor: 2.796

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 replication engineering assisted continuous evolution (GREACE) to improve microbial tolerance for biofuels production.

Authors:  Guodong Luan; Zhen Cai; Yin Li; Yanhe Ma
Journal:  Biotechnol Biofuels       Date:  2013-09-27       Impact factor: 6.040

10.  Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design.

Authors:  Justin D Smith; Sundari Suresh; Ulrich Schlecht; Manhong Wu; Omar Wagih; Gary Peltz; Ronald W Davis; Lars M Steinmetz; Leopold Parts; Robert P St Onge
Journal:  Genome Biol       Date:  2016-03-08       Impact factor: 13.583

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  6 in total

Review 1.  How adaptive laboratory evolution can boost yeast tolerance to lignocellulosic hydrolyses.

Authors:  Yasmine Alves Menegon; Jeferson Gross; Ana Paula Jacobus
Journal:  Curr Genet       Date:  2022-04-01       Impact factor: 2.695

2.  Screening lager yeast with higher ethyl-acetate production by adaptive laboratory evolution in high concentration of acetic acid.

Authors:  Xin Xu; Chengtuo Niu; Chunfeng Liu; Jinjing Wang; Feiyun Zheng; Qi Li
Journal:  World J Microbiol Biotechnol       Date:  2021-06-26       Impact factor: 3.312

3.  Screening and Genetic Network Analysis of Genes Involved in Freezing and Thawing Resistance in DaMDHAR-Expressing Saccharomyces cerevisiae Using Gene Expression Profiling.

Authors:  Il-Sup Kim; Woong Choi; Jonghyeon Son; Jun Hyuck Lee; Hyoungseok Lee; Jungeun Lee; Seung Chul Shin; Han-Woo Kim
Journal:  Genes (Basel)       Date:  2021-02-03       Impact factor: 4.096

Review 4.  Intelligent host engineering for metabolic flux optimisation in biotechnology.

Authors:  Lachlan J Munro; Douglas B Kell
Journal:  Biochem J       Date:  2021-10-29       Impact factor: 3.857

Review 5.  Designing Microbial Cell Factories for the Production of Chemicals.

Authors:  Jae Sung Cho; Gi Bae Kim; Hyunmin Eun; Cheon Woo Moon; Sang Yup Lee
Journal:  JACS Au       Date:  2022-08-04

6.  Monitoring of Cell Concentration during Saccharomyces cerevisiae Culture by a Color Sensor: Optimization of Feature Sensor Using ACO.

Authors:  Hui Jiang; Weidong Xu; Quansheng Chen
Journal:  Sensors (Basel)       Date:  2019-04-30       Impact factor: 3.576

  6 in total

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