Literature DB >> 19153667

Novel methods of genome shuffling in Saccharomyces cerevisiae.

Lihua Hou1.   

Abstract

Genome shuffling can improve complex phenotypes; however, there are several obstacles towards its broader applicability due to increased complexity of eukaryotic cells. Here, we describe novel, efficient and reliable methods for genome shuffling to increase ethanol production of Saccharomyces cerevisiae. Using yeast sexual and asexual reproduction by itself, mutant diploid cells were shuffled through highly efficient sporulation and adequate cross among the haploid cells, followed by selection on the special plates. The selected strain obtained after three round genome shuffling not only distinctly improved the resistance to ethanol, but also, increased ethanol yield by up to 13% compared with the control.

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Year:  2009        PMID: 19153667     DOI: 10.1007/s10529-009-9916-5

Source DB:  PubMed          Journal:  Biotechnol Lett        ISSN: 0141-5492            Impact factor:   2.461


  21 in total

Review 1.  Recombinant organisms for production of industrial products.

Authors:  Jose-Luis Adrio; Arnold L Demain
Journal:  Bioeng Bugs       Date:  2009-11-02

2.  Genome shuffling improves thermotolerance and glutamic acid production of Corynebacteria glutamicum.

Authors:  Pu Zheng; Miao Liu; Xiao-de Liu; Qiao-Yan Du; Ye Ni; Zhi-Hao Sun
Journal:  World J Microbiol Biotechnol       Date:  2011-09-27       Impact factor: 3.312

3.  Genome shuffling of Hansenula anomala to improve flavour formation of soy sauce.

Authors:  Xiaohong Cao; Qian Song; Chunling Wang; Lihua Hou
Journal:  World J Microbiol Biotechnol       Date:  2010-06-19       Impact factor: 3.312

4.  US132 Cyclodextrin Glucanotransferase Engineering by Random Mutagenesis for an Anti-Staling Purpose.

Authors:  Sonia Jemli; Mouna Jaoua; Samir Bejar
Journal:  Mol Biotechnol       Date:  2016-09       Impact factor: 2.695

5.  Saccharomyces cerevisiae genome shuffling through recursive population mating leads to improved tolerance to spent sulfite liquor.

Authors:  Dominic Pinel; Frédéric D'Aoust; Stephen B del Cardayre; Paramjit K Bajwa; Hung Lee; Vincent J J Martin
Journal:  Appl Environ Microbiol       Date:  2011-05-27       Impact factor: 4.792

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

Authors:  Dao-Qiong Zheng; Xue-Chang Wu; Pin-Mei Wang; Xiao-Qin Chi; Xiang-Lin Tao; Ping Li; Xin-Hang Jiang; Yu-Hua Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2010-07-22       Impact factor: 3.346

7.  Improvement of robustness and ethanol production of ethanologenic Saccharomyces cerevisiae under co-stress of heat and inhibitors.

Authors:  Ying Lu; Yan-Fei Cheng; Xiu-Ping He; Xue-Na Guo; Bo-Run Zhang
Journal:  J Ind Microbiol Biotechnol       Date:  2011-06-23       Impact factor: 3.346

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

Authors:  Xin Xu; Chunfeng Liu; Chengtuo Niu; Jinjing Wang; Feiyun Zheng; Yongxian Li; Qi Li
Journal:  J Ind Microbiol Biotechnol       Date:  2018-08-03       Impact factor: 3.346

9.  Benefits of a Recombination-Proficient Escherichia coli System for Adaptive Laboratory Evolution.

Authors:  George Peabody; James Winkler; Weston Fountain; David A Castro; Enzo Leiva-Aravena; Katy C Kao
Journal:  Appl Environ Microbiol       Date:  2016-10-27       Impact factor: 4.792

Review 10.  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

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