Literature DB >> 21715660

Unravelling evolutionary strategies of yeast for improving galactose utilization through integrated systems level analysis.

Kuk-Ki Hong1, Wanwipa Vongsangnak, Goutham N Vemuri, Jens Nielsen.   

Abstract

Identification of the underlying molecular mechanisms for a derived phenotype by adaptive evolution is difficult. Here, we performed a systems-level inquiry into the metabolic changes occurring in the yeast Saccharomyces cerevisiae as a result of its adaptive evolution to increase its specific growth rate on galactose and related these changes to the acquired phenotypic properties. Three evolved mutants (62A, 62B, and 62C) with higher specific growth rates and faster specific galactose uptake were isolated. The evolved mutants were compared with a reference strain and two engineered strains, SO16 and PGM2, which also showed higher galactose uptake rate in previous studies. The profile of intermediates in galactose metabolism was similar in evolved and engineered mutants, whereas reserve carbohydrates metabolism was specifically elevated in the evolved mutants and one evolved strain showed changes in ergosterol biosynthesis. Mutations were identified in proteins involved in the global carbon sensing Ras/PKA pathway, which is known to regulate the reserve carbohydrates metabolism. We evaluated one of the identified mutations, RAS2(Tyr112), and this mutation resulted in an increased specific growth rate on galactose. These results show that adaptive evolution results in the utilization of unpredicted routes to accommodate increased galactose flux in contrast to rationally engineered strains. Our study demonstrates that adaptive evolution represents a valuable alternative to rational design in bioengineering of improved strains and, that through systems biology, it is possible to identify mutations in evolved strain that can serve as unforeseen metabolic engineering targets for improving microbial strains for production of biofuels and chemicals.

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Year:  2011        PMID: 21715660      PMCID: PMC3141923          DOI: 10.1073/pnas.1103219108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  24 in total

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Journal:  Science       Date:  2001-05-04       Impact factor: 47.728

Review 2.  Metabolic engineering.

Authors:  J Nielsen
Journal:  Appl Microbiol Biotechnol       Date:  2001-04       Impact factor: 4.813

Review 3.  A genome-based approach to create a minimally mutated Corynebacterium glutamicum strain for efficient L-lysine production.

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Journal:  J Ind Microbiol Biotechnol       Date:  2006-02-28       Impact factor: 3.346

4.  In vivo dynamics of galactose metabolism in Saccharomyces cerevisiae: metabolic fluxes and metabolite levels.

Authors:  S Ostergaard; L Olsson; J Nielsen
Journal:  Biotechnol Bioeng       Date:  2001-06-05       Impact factor: 4.530

Review 5.  Engineering complex phenotypes in industrial strains.

Authors:  Ranjan Patnaik
Journal:  Biotechnol Prog       Date:  2007-10-03

6.  Genome evolution and adaptation in a long-term experiment with Escherichia coli.

Authors:  Jeffrey E Barrick; Dong Su Yu; Sung Ho Yoon; Haeyoung Jeong; Tae Kwang Oh; Dominique Schneider; Richard E Lenski; Jihyun F Kim
Journal:  Nature       Date:  2009-10-18       Impact factor: 49.962

Review 7.  Reserve carbohydrates metabolism in the yeast Saccharomyces cerevisiae.

Authors:  J François; J L Parrou
Journal:  FEMS Microbiol Rev       Date:  2001-01       Impact factor: 16.408

8.  Azasterol inhibitors in yeast. Inhibition of the delta 24-sterol methyltransferase and the 24-methylene sterol delta 24(28)-reductase in sterol mutants of Saccharomyces cerevisiae.

Authors:  A M Pierce; A M Unrau; A C Oehlschlager; R A Woods
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9.  Identity of the growth-limiting nutrient strongly affects storage carbohydrate accumulation in anaerobic chemostat cultures of Saccharomyces cerevisiae.

Authors:  Lucie A Hazelwood; Michael C Walsh; Marijke A H Luttik; Pascale Daran-Lapujade; Jack T Pronk; Jean-Marc Daran
Journal:  Appl Environ Microbiol       Date:  2009-09-04       Impact factor: 4.792

10.  Whole genome sequencing of Saccharomyces cerevisiae: from genotype to phenotype for improved metabolic engineering applications.

Authors:  José Manuel Otero; Wanwipa Vongsangnak; Mohammad A Asadollahi; Roberto Olivares-Hernandes; Jérôme Maury; Laurent Farinelli; Loïc Barlocher; Magne Osterås; Michel Schalk; Anthony Clark; Jens Nielsen
Journal:  BMC Genomics       Date:  2010-12-22       Impact factor: 3.969

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  38 in total

1.  Construction and Optimization of a Heterologous Pathway for Protocatechuate Catabolism in Escherichia coli Enables Bioconversion of Model Aromatic Compounds.

Authors:  Sonya M Clarkson; Richard J Giannone; Donna M Kridelbaugh; James G Elkins; Adam M Guss; Joshua K Michener
Journal:  Appl Environ Microbiol       Date:  2017-08-31       Impact factor: 4.792

Review 2.  Metabolic engineering of Saccharomyces cerevisiae: a key cell factory platform for future biorefineries.

Authors:  Kuk-Ki Hong; Jens Nielsen
Journal:  Cell Mol Life Sci       Date:  2012-03-03       Impact factor: 9.261

3.  Enhanced expression of genes involved in initial xylose metabolism and the oxidative pentose phosphate pathway in the improved xylose-utilizing Saccharomyces cerevisiae through evolutionary engineering.

Authors:  Jian Zha; Minghua Shen; Menglong Hu; Hao Song; Yingjin Yuan
Journal:  J Ind Microbiol Biotechnol       Date:  2013-10-11       Impact factor: 3.346

4.  Effects of the carbon source on the physiology and invertase activity of the yeast Saccharomyces cerevisiae FT858.

Authors:  Valkirea Matos Nascimento; Gabriela Totino Ulian Antoniolli; Rodrigo Simões Ribeiro Leite; Gustavo Graciano Fonseca
Journal:  3 Biotech       Date:  2020-07-22       Impact factor: 2.406

Review 5.  The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology.

Authors:  Troy E Sandberg; Michael J Salazar; Liam L Weng; Bernhard O Palsson; Adam M Feist
Journal:  Metab Eng       Date:  2019-08-08       Impact factor: 9.783

Review 6.  Nutrient sensing and signaling in the yeast Saccharomyces cerevisiae.

Authors:  Michaela Conrad; Joep Schothorst; Harish Nag Kankipati; Griet Van Zeebroeck; Marta Rubio-Texeira; Johan M Thevelein
Journal:  FEMS Microbiol Rev       Date:  2014-03-03       Impact factor: 16.408

7.  Recovery of phenotypes obtained by adaptive evolution through inverse metabolic engineering.

Authors:  Kuk-Ki Hong; Jens Nielsen
Journal:  Appl Environ Microbiol       Date:  2012-08-17       Impact factor: 4.792

Review 8.  Molecular tools for chemical biotechnology.

Authors:  Stephanie Galanie; Michael S Siddiqui; Christina D Smolke
Journal:  Curr Opin Biotechnol       Date:  2013-03-23       Impact factor: 9.740

9.  Identification and treatment of heme depletion attributed to overexpression of a lineage of evolved P450 monooxygenases.

Authors:  Joshua K Michener; Jens Nielsen; Christina D Smolke
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-05       Impact factor: 11.205

10.  Genome duplication and mutations in ACE2 cause multicellular, fast-sedimenting phenotypes in evolved Saccharomyces cerevisiae.

Authors:  Bart Oud; Victor Guadalupe-Medina; Jurgen F Nijkamp; Dick de Ridder; Jack T Pronk; Antonius J A van Maris; Jean-Marc Daran
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-21       Impact factor: 11.205

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