Literature DB >> 9928089

Directed evolution of new enzymes and pathways for environmental biocatalysis.

L P Wackett1.   

Abstract

Biocatalysis is important in both natural and engineered environments. The major global reactions in the biospheric cycling of carbon, nitrogen, and other elements are catalyzed by microorganisms. The global carbon cycle includes millions of organic compounds that are made by plants, microorganisms, and organic chemists. Most of those compounds are transformed by microbial enzymes. Degradative metabolism is known as catabolism and yields principally carbon dioxide, methane, or biomass. Microbial catabolic enzymes are a great resource for biotechnology. They are the building blocks for engineering novel metabolic pathways and evolving improved enzymes in the laboratory. Two multicomponent bacterial oxygeneases, cytochrome P450cam and toluene dioxygenase, catalyze the dechlorination of polyhalogenated C2 compounds. Seven genes encoding those functional enzyme complexes were coexpressed in a Pseudomonas and shown to metabolize pentachloreothane to nonhalogenated organic acids that were metabolized further to carbon dioxide. In another example, the enzyme catalyzing the dechlorination of the herbicide atrazine was subjected to iterative DNA shuffling to produce mutations. By using a plate screening assay, mutated atrazine chlorohydrolase that catalyzed a more rapid dechlorination of atrazine was obtained. The mutant genes were sequences and found to encode up to 11 amino acid changes. Atrazine chlorohydrolase is currently being used in a model municipal water treatment system to test the feasibility of using enzymes for atrazine decontamination. These data suggest that the natural diversity of bacterial catabolic enzymes provides the starting point for improved biocatalytic systems that meet the needs of commercial applications.

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Year:  1998        PMID: 9928089     DOI: 10.1111/j.1749-6632.1998.tb10297.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  6 in total

1.  eCodonOpt: a systematic computational framework for optimizing codon usage in directed evolution experiments.

Authors:  Gregory L Moore; Costas D Maranas
Journal:  Nucleic Acids Res       Date:  2002-06-01       Impact factor: 16.971

Review 2.  Laboratory-directed protein evolution.

Authors:  Ling Yuan; Itzhak Kurek; James English; Robert Keenan
Journal:  Microbiol Mol Biol Rev       Date:  2005-09       Impact factor: 11.056

3.  IPRO: an iterative computational protein library redesign and optimization procedure.

Authors:  Manish C Saraf; Gregory L Moore; Nina M Goodey; Vania Y Cao; Stephen J Benkovic; Costas D Maranas
Journal:  Biophys J       Date:  2006-03-02       Impact factor: 4.033

4.  Catalytic improvement and evolution of atrazine chlorohydrolase.

Authors:  Colin Scott; Colin J Jackson; Chris W Coppin; Roslyn G Mourant; Margaret E Hilton; Tara D Sutherland; Robyn J Russell; John G Oakeshott
Journal:  Appl Environ Microbiol       Date:  2009-02-06       Impact factor: 4.792

5.  Structural basis for regioselectivity and stereoselectivity of product formation by naphthalene 1,2-dioxygenase.

Authors:  Daniel J Ferraro; Adam L Okerlund; Jonathan C Mowers; S Ramaswamy
Journal:  J Bacteriol       Date:  2006-10       Impact factor: 3.490

6.  Analysis of cytochrome P450 CYP119 ligand-dependent conformational dynamics by two-dimensional NMR and X-ray crystallography.

Authors:  Debashree Basudhar; Yarrow Madrona; Sylvie Kandel; Jed N Lampe; Clinton R Nishida; Paul R Ortiz de Montellano
Journal:  J Biol Chem       Date:  2015-02-10       Impact factor: 5.157

  6 in total

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