Literature DB >> 15069062

Rapid evolution of beta-glucuronidase specificity by saturation mutagenesis of an active site loop.

Melissa L Geddie1, Ichiro Matsumura.   

Abstract

Protein engineers have widely adopted directed evolution as a design algorithm, but practitioners have not come to a consensus about the best method to evolve protein molecular recognition. We previously used DNA shuffling to direct the evolution of Escherichia coli beta-glucuronidase (GUS) variants with increased beta-galactosidase activity. Epistatic (synergistic) mutations in amino acids 557, 566, and 568, which are part of an active site loop, were identified in that experiment (Matsumura, I., and Ellington, A. D. (2001) J. Mol. Biol. 305, 331-339). Here we show that site saturation mutagenesis of these residues, overexpression of the resulting library in E. coli, and high throughput screening led to the rapid evolution of clones exhibiting increased activity in reactions with p-nitrophenyl-beta-d-xylopyranoside (pNP-xyl). The xylosidase activities of the 14 fittest clones were 30-fold higher on average than that of the wild-type GUS. The 14 corresponding plasmids were pooled, amplified by long PCR, self-ligated with T4 DNA ligase, and transformed into E. coli. Thirteen clones exhibiting an average of 80-fold improvement in xylosidase activity were isolated in a second round of screening. One of the evolved proteins exhibited a approximately 200-fold improvement over the wild type in reactivity (k(cat)/K(m)) with pNP-xyl, with a 290,000-fold inversion of specificity. Sequence analysis of the 13 round 2 isolates suggested that all were products of intermolecular recombination events that occurred during whole plasmid PCR. Further rounds of evolution using DNA shuffling and staggered extension process (StEP) resulted in modest improvement. These results underscore the importance of epistatic interactions and demonstrate that they can be optimized through variations of the facile whole plasmid PCR technique.

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Year:  2004        PMID: 15069062     DOI: 10.1074/jbc.M401447200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  19 in total

1.  Engineering of protease variants exhibiting high catalytic activity and exquisite substrate selectivity.

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Review 2.  Laboratory-directed protein evolution.

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3.  Rational design of p53, an intrinsically unstructured protein, for the fabrication of novel molecular sensors.

Authors:  Melissa L Geddie; Taryn L O'Loughlin; Kristen K Woods; Ichiro Matsumura
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4.  Diversification and specialization of HIV protease function during in vitro evolution.

Authors:  Taryn L O'Loughlin; Dina N Greene; Ichiro Matsumura
Journal:  Mol Biol Evol       Date:  2006-01-19       Impact factor: 16.240

5.  Mutagenesis of the phosphate-binding pocket of KDPG aldolase enhances selectivity for hydrophobic substrates.

Authors:  Manoj Cheriyan; Eric J Toone; Carol A Fierke
Journal:  Protein Sci       Date:  2007-11       Impact factor: 6.725

6.  Site-saturation mutagenesis is more efficient than DNA shuffling for the directed evolution of beta-fucosidase from beta-galactosidase.

Authors:  Monal R Parikh; Ichiro Matsumura
Journal:  J Mol Biol       Date:  2005-09-23       Impact factor: 5.469

7.  Directed evolution of RuBisCO hypermorphs through genetic selection in engineered E.coli.

Authors:  Monal R Parikh; Dina N Greene; Kristen K Woods; Ichiro Matsumura
Journal:  Protein Eng Des Sel       Date:  2006-01-19       Impact factor: 1.650

8.  Antibody-induced oligomerization and activation of an engineered reporter enzyme.

Authors:  Melissa L Geddie; Ichiro Matsumura
Journal:  J Mol Biol       Date:  2007-04-04       Impact factor: 5.469

9.  Synonymous codon usage in forty staphylococcal phages identifies the factors controlling codon usage variation and the phages suitable for phage therapy.

Authors:  Arghya Kamal Bishal; Soumya Saha; Keya Sau
Journal:  Bioinformation       Date:  2012-12-08

10.  In silico saturation mutagenesis and docking screening for the analysis of protein-ligand interaction: the Endothelial Protein C Receptor case study.

Authors:  Federica Chiappori; Pasqualina D'Ursi; Ivan Merelli; Luciano Milanesi; Ermanna Rovida
Journal:  BMC Bioinformatics       Date:  2009-10-15       Impact factor: 3.169

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