Literature DB >> 24595425

Evolutionary engineering by genome shuffling.

Damien Biot-Pelletier1, Vincent J J Martin.   

Abstract

An upsurge in the bioeconomy drives the need for engineering microorganisms with increasingly complex phenotypes. Gains in productivity of industrial microbes depend on the development of improved strains. Classical strain improvement programmes for the generation, screening and isolation of such mutant strains have existed for several decades. An alternative to traditional strain improvement methods, genome shuffling, allows the directed evolution of whole organisms via recursive recombination at the genome level. This review deals chiefly with the technical aspects of genome shuffling. It first presents the diversity of organisms and phenotypes typically evolved using this technology and then reviews available sources of genetic diversity and recombination methodologies. Analysis of the literature reveals that genome shuffling has so far been restricted to microorganisms, both prokaryotes and eukaryotes, with an overepresentation of antibiotics- and biofuel-producing microbes. Mutagenesis is the main source of genetic diversity, with few studies adopting alternative strategies. Recombination is usually done by protoplast fusion or sexual recombination, again with few exceptions. For both diversity and recombination, prospective methods that have not yet been used are also presented. Finally, the potential of genome shuffling for gaining insight into the genetic basis of complex phenotypes is also discussed.

Mesh:

Year:  2014        PMID: 24595425     DOI: 10.1007/s00253-014-5616-8

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  17 in total

Review 1.  Directed evolution combined with synthetic biology strategies expedite semi-rational engineering of genes and genomes.

Authors:  Zhen Kang; Junli Zhang; Peng Jin; Sen Yang
Journal:  Bioengineered       Date:  2015-01-26       Impact factor: 3.269

2.  Enhanced butanol production from cassava with Clostridium acetobutylicum by genome shuffling.

Authors:  Shu-Bo Li; Yi Qian; Zheng-Wu Liang; Yuan Guo; Mou-Ming Zhao; Zong-Wen Pang
Journal:  World J Microbiol Biotechnol       Date:  2016-02-29       Impact factor: 3.312

3.  Genome Shuffling of Stenotrophomonas maltophilia OK-5 for Improving the Degradation of Explosive RDX (Hexahydro-1,3,5-trinitro-1,3,5-triazine).

Authors:  Bheong-Uk Lee; Moon-Seop Choi; Dong-Min Kim; Kye-Heon Oh
Journal:  Curr Microbiol       Date:  2016-12-22       Impact factor: 2.188

Review 4.  Genetic improvement of native xylose-fermenting yeasts for ethanol production.

Authors:  Nicole K Harner; Xin Wen; Paramjit K Bajwa; Glen D Austin; Chi-Yip Ho; Marc B Habash; Jack T Trevors; Hung Lee
Journal:  J Ind Microbiol Biotechnol       Date:  2014-11-18       Impact factor: 3.346

5.  Genome shuffling of Colletotrichum lini for improving 3β,7α,15α-trihydroxy-5-androsten-17-one production from dehydroepiandrosterone.

Authors:  Jin Sun; Hui Li; Yu Ni; Xiaomei Zhang; Jinsong Shi; Zhenghong Xu
Journal:  J Ind Microbiol Biotechnol       Date:  2017-03-10       Impact factor: 3.346

Review 6.  Rapid prototyping of microbial cell factories via genome-scale engineering.

Authors:  Tong Si; Han Xiao; Huimin Zhao
Journal:  Biotechnol Adv       Date:  2014-11-20       Impact factor: 14.227

7.  Combined Drug Resistance Mutations Substantially Enhance Enzyme Production in Paenibacillus agaridevorans.

Authors:  Kazumi Funane; Yukinori Tanaka; Takeshi Hosaka; Kiriko Murakami; Takatsugu Miyazaki; Yuh Shiwa; Shigehachi Gibu; Takashi Inaoka; Ken Kasahara; Nobuyuki Fujita; Hirofumi Yoshikawa; Yoshikazu Hiraga; Kozo Ochi
Journal:  J Bacteriol       Date:  2018-08-10       Impact factor: 3.490

8.  Deconstructing the genetic basis of spent sulphite liquor tolerance using deep sequencing of genome-shuffled yeast.

Authors:  Dominic Pinel; David Colatriano; Heng Jiang; Hung Lee; Vincent Jj Martin
Journal:  Biotechnol Biofuels       Date:  2015-03-31       Impact factor: 6.040

9.  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

10.  Protoplast fusion in Bacillus species produces frequent, unbiased, genome-wide homologous recombination.

Authors:  Delyana P Vasileva; Jared C Streich; Leah H Burdick; Dawn M Klingeman; Hari B Chhetri; Christa M Brelsford; J Christopher Ellis; Dan M Close; Daniel A Jacobson; Joshua K Michener
Journal:  Nucleic Acids Res       Date:  2022-06-24       Impact factor: 19.160

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