Literature DB >> 11816810

Evolutionary engineering of industrially important microbial phenotypes.

U Sauer1.   

Abstract

The tremendous complexity of dynamic interactions in cellular systems often impedes practical applications of metabolic engineering that are largely based on available molecular or functional knowledge. In contrast, evolutionary engineering follows nature's 'engineering' principle by variation and selection. Thus, it is a complementary strategy that offers compelling scientific and applied advantages for strain development and process optimization, provided a desired phenotype is amenable to direct or indirect selection. In addition to simple empirical strain development by random mutation and direct selection on plates, evolutionary engineering also encompasses recombination and continuous evolution of large populations over many generations. Two distinct evolutionary engineering applications are likely to gain more relevance in the future: first, as an integral component in metabolic engineering of strains with improved phenotypes, and second, to elucidate the molecular basis of desired phenotypes for subsequent transfer to other hosts. The latter will profit from the broader availability of recently developed methodologies for global response analysis at the genetic and metabolic level. These methodologies facilitate identification of the molecular basis of evolved phenotypes. It is anticipated that, together with novel analytical techniques, bioinformatics, and computer modeling of cellular functions and activities, evolutionary engineering is likely to find its place in the metabolic engineer's toolbox for research and strain development. This review presents evolutionary engineering of whole cells as an emerging methodology that draws on the latest advances from a wide range of scientific and technical disciplines.

Mesh:

Year:  2001        PMID: 11816810     DOI: 10.1007/3-540-45300-8_7

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.635


  63 in total

1.  Method for designing and optimizing random-search libraries for strain improvement.

Authors:  Daniel Klein-Marcuschamer; Gregory Stephanopoulos
Journal:  Appl Environ Microbiol       Date:  2010-06-25       Impact factor: 4.792

2.  Engineered Saccharomyces cerevisiae capable of simultaneous cellobiose and xylose fermentation.

Authors:  Suk-Jin Ha; Jonathan M Galazka; Soo Rin Kim; Jin-Ho Choi; Xiaomin Yang; Jin-Ho Seo; N Louise Glass; Jamie H D Cate; Yong-Su Jin
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-27       Impact factor: 11.205

3.  Parallel adaptive evolution cultures of Escherichia coli lead to convergent growth phenotypes with different gene expression states.

Authors:  Stephen S Fong; Andrew R Joyce; Bernhard Ø Palsson
Journal:  Genome Res       Date:  2005-10       Impact factor: 9.043

Review 4.  Manipulating corynebacteria, from individual genes to chromosomes.

Authors:  Alain A Vertès; Masayuki Inui; Hideaki Yukawa
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

5.  Generation of an evolved Saccharomyces cerevisiae strain with a high freeze tolerance and an improved ability to grow on glycerol.

Authors:  Annamaria Merico; Enrico Ragni; Silvia Galafassi; Laura Popolo; Concetta Compagno
Journal:  J Ind Microbiol Biotechnol       Date:  2010-09-29       Impact factor: 3.346

6.  Correlation of genomic and physiological traits of thermoanaerobacter species with biofuel yields.

Authors:  Christopher L Hemme; Matthew W Fields; Qiang He; Ye Deng; Lu Lin; Qichao Tu; Housna Mouttaki; Aifen Zhou; Xueyang Feng; Zheng Zuo; Bradley D Ramsay; Zhili He; Liyou Wu; Joy Van Nostrand; Jian Xu; Yinjie J Tang; Juergen Wiegel; Tommy J Phelps; Jizhong Zhou
Journal:  Appl Environ Microbiol       Date:  2011-09-23       Impact factor: 4.792

7.  Novel evolutionary engineering approach for accelerated utilization of glucose, xylose, and arabinose mixtures by engineered Saccharomyces cerevisiae strains.

Authors:  H Wouter Wisselink; Maurice J Toirkens; Qixiang Wu; Jack T Pronk; Antonius J A van Maris
Journal:  Appl Environ Microbiol       Date:  2008-12-12       Impact factor: 4.792

8.  Selection from industrial lager yeast strains of variants with improved fermentation performance in very-high-gravity worts.

Authors:  Anne Huuskonen; Tuomas Markkula; Virve Vidgren; Luis Lima; Linda Mulder; Wim Geurts; Michael Walsh; John Londesborough
Journal:  Appl Environ Microbiol       Date:  2010-01-15       Impact factor: 4.792

9.  Improved xylose and arabinose utilization by an industrial recombinant Saccharomyces cerevisiae strain using evolutionary engineering.

Authors:  Rosa Garcia Sanchez; Kaisa Karhumaa; César Fonseca; Violeta Sànchez Nogué; João Rm Almeida; Christer U Larsson; Oskar Bengtsson; Maurizio Bettiga; Bärbel Hahn-Hägerdal; Marie F Gorwa-Grauslund
Journal:  Biotechnol Biofuels       Date:  2010-06-15       Impact factor: 6.040

10.  Whole-genome analyses reveal genetic instability of Acetobacter pasteurianus.

Authors:  Yoshinao Azuma; Akira Hosoyama; Minenosuke Matsutani; Naoko Furuya; Hiroshi Horikawa; Takeshi Harada; Hideki Hirakawa; Satoru Kuhara; Kazunobu Matsushita; Nobuyuki Fujita; Mutsunori Shirai
Journal:  Nucleic Acids Res       Date:  2009-07-28       Impact factor: 16.971

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