151
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Affiliation(s)
- John W Kehoe
- Biosciences Division, Argonne National Laboratory, Building 202, Argonne, Illinois 60439, USA
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152
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Directed Evolution of Enantioselective Enzymes as Catalysts for Organic Synthesis. ADVANCES IN CATALYSIS 2006. [DOI: 10.1016/s0360-0564(05)49001-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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153
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Bornscheuer UT. Trends and challenges in enzyme technology. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2005; 100:181-203. [PMID: 16270658 DOI: 10.1007/b136413] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2023]
Abstract
Several major developments took place in the field of biocatalysis over the past few years. These include the invention of directed evolution as an extremely useful method for biocatalyst improvement on the molecular level in combination with high-throughput screening systems, methods for accessing "nonculturable" biodiversity using metagenome approaches and progress in sequence-based biocatalyst discovery. In addition, new carriers and tools for immobilization of enzymes have been developed. For the synthesis of optically active compounds impressive examples using new enzymes and major progress in dynamic kinetic resolutions of racemates took place. These achievements are summarized in this review.
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Affiliation(s)
- Uwe T Bornscheuer
- Department of Technical Chemistry and Biotechnology, Institute of Chemistry and Biochemistry, Greifswald University, Soldmannstr. 16, 17487 Greifswald, Germany.
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154
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Patrick WM, Firth AE. Strategies and computational tools for improving randomized protein libraries. ACTA ACUST UNITED AC 2005; 22:105-12. [PMID: 16095966 DOI: 10.1016/j.bioeng.2005.06.001] [Citation(s) in RCA: 97] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2005] [Revised: 06/20/2005] [Accepted: 06/21/2005] [Indexed: 11/15/2022]
Abstract
In the last decade, directed evolution has become a routine approach for engineering proteins with novel or altered properties. Concurrently, a trend away from purely 'blind' randomization strategies and towards more 'semi-rational' approaches has also become apparent. In this review, we discuss ways in which structural information and predictive computational tools are playing an increasingly important role in guiding the design of randomized libraries: web servers such as ConSurf-HSSP and SCHEMA allow the prediction of sites to target for producing functional variants, while algorithms such as GLUE, PEDEL and DRIVeR are useful for estimating library completeness and diversity. In addition, we review recent methodological developments that facilitate the construction of unbiased libraries, which are inherently more diverse than biased libraries and therefore more likely to yield improved variants.
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Affiliation(s)
- Wayne M Patrick
- Center for Fundamental and Applied Molecular Evolution, Emory University, 1510 Clifton Road, Atlanta GA 30322, USA.
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155
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Abstract
Degenerate codon libraries are frequently used in protein engineering and evolution studies but are often limited to targeting a small number of positions to adequately limit the search space. To mitigate this, codon degeneracy can be limited using heuristics or previous knowledge of the targeted positions. To automate design of libraries given a set of amino acid sequences, an algorithm (LibDesign) was developed that generates a set of possible degenerate codon libraries, their resulting size, and their score relative to a user-defined scoring function. A gene library of a specified size can then be constructed that is representative of the given amino acid distribution or that includes specific sequences or combinations thereof. LibDesign provides a new tool for automated design of high-quality protein libraries that more effectively harness existing sequence-structure information derived from multiple sequence alignment or computational protein design data.
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Affiliation(s)
- Marco A Mena
- Department of Chemical Engineering, University of California, Santa Barbara Santa Barbara, CA 93106-9510, USA
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156
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Han HE, Rho SH, Lee YJ, Park WJ. Engineering of Kex2 variants exhibiting altered substrate specificity. Biochem Biophys Res Commun 2005; 337:1102-6. [PMID: 16229820 DOI: 10.1016/j.bbrc.2005.09.158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2005] [Accepted: 09/22/2005] [Indexed: 11/19/2022]
Abstract
Engineering of secreted protease variants exhibiting altered substrate specificity is a challenging task because effective screening methods for the desired property are not available yet. In this study, we sought to obtain variants of Kex2, a yeast Golgi protease, which exhibit altered P2 specificity. We first randomly mutated three Asp residues (D176, D210, and D211) that constitute the S2 pocket of Kex2 and then isolated from the resulting library Kex2 variants that preferred substrates with Met (poorly preferred by wild type Kex2) at the P2 position using a yeast-based screening method. The Kex2 variants isolated from this initial screening were further tested against various substrate sequences. Four out of the 16 isolated Kex2 variants showed greater preference for Met than for Lys (preferred by the wild-type Kex2) at the P2 position. We therefore suggest that our method might serve as an efficient tool for engineering and directing the evolution of secreted proteases.
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Affiliation(s)
- Hye-Eun Han
- National Research Laboratory of Proteolysis and Department of Life Science, Gwangju Institute of Science and Technology (GIST), Gwangju 500-712, Republic of Korea
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157
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Otten LG, Quax WJ. Directed evolution: selecting today's biocatalysts. ACTA ACUST UNITED AC 2005; 22:1-9. [PMID: 15857778 DOI: 10.1016/j.bioeng.2005.02.002] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2004] [Revised: 11/21/2004] [Accepted: 11/22/2004] [Indexed: 10/25/2022]
Abstract
Directed evolution has become a full-grown tool in molecular biology nowadays. The methods that are involved in creating a mutant library are extensive and can be divided into several categories according to their basic ideas. Furthermore, both screening and selection can be used to target the enzyme towards the desired direction. Nowadays, this technique is broadly used in two major applications: (industrial) biocatalysis and research. In the first field enzymes are engineered in order to produce suitable biocatalysts with high catalytic activity and stability in an industrial environment. In the latter area methods are established to quickly engineer new enzymes for every possible catalytic step, thereby creating a universal biotechnological toolbox. Furthermore, directed evolution can be used to try to understand the natural evolutionary processes. This review deals with new mutagenesis and recombination strategies published recently. A full overview of new methods for creating more specialised mutant libraries is given. The importance of selection in directed evolution strategies is being exemplified by some current successes including the beta-lactam acylases.
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Affiliation(s)
- Linda G Otten
- University of Groningen, University Centre for Pharmacy, Pharmaceutical Biology, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
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158
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Eijsink VGH, Gåseidnes S, Borchert TV, van den Burg B. Directed evolution of enzyme stability. ACTA ACUST UNITED AC 2005; 22:21-30. [PMID: 15857780 DOI: 10.1016/j.bioeng.2004.12.003] [Citation(s) in RCA: 308] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2004] [Revised: 11/29/2004] [Accepted: 12/02/2004] [Indexed: 11/16/2022]
Abstract
Modern enzyme development relies to an increasing extent on strategies based on diversity generation followed by screening for variants with optimised properties. In principle, these directed evolution strategies might be used for optimising any enzyme property, which can be screened for in an economically feasible way, even if the molecular basis of that property is not known. Stability is an interesting property of enzymes because (1) it is of great industrial importance, (2) it is relatively easy to screen for, and (3) the molecular basis of stability relates closely to contemporary issues in protein science such as the protein folding problem and protein folding diseases. Thus, engineering enzyme stability is of both commercial and scientific interest. Here, we review how directed evolution has contributed to the development of stable enzymes and to new insight into the principles of protein stability. Several recent examples are described. These examples show that directed evolution is an effective strategy to obtain stable enzymes, especially when used in combination with rational or semi-rational engineering strategies. With respect to the principles of protein stability, some important lessons to learn from recent efforts in directed evolution are (1) that there are many structural ways to stabilize a protein, which are not always easy to rationalize, (2) that proteins may very well be stabilized by optimizing their surfaces, and (3) that high thermal stability may be obtained without forfeiture of catalytic performance at low temperatures.
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Affiliation(s)
- Vincent G H Eijsink
- Department of Chemistry, Biotechnology and Food Science, Agricultural University of Norway, P.O. Box 5003, N-1432 As, Norway
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159
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Müller KM, Stebel SC, Knall S, Zipf G, Bernauer HS, Arndt KM. Nucleotide exchange and excision technology (NExT) DNA shuffling: a robust method for DNA fragmentation and directed evolution. Nucleic Acids Res 2005; 33:e117. [PMID: 16061932 PMCID: PMC1182171 DOI: 10.1093/nar/gni116] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
DNA shuffling is widely used for optimizing complex properties contained within DNA and proteins. Demonstrated here is the amplification of a gene library by PCR using uridine triphosphate (dUTP) as a fragmentation defining exchange nucleotide with thymidine, together with the three other nucleotides. The incorporated uracil bases were excised using uracil-DNA-glycosylase and the DNA backbone subsequently cleaved with piperidine. These end-point reactions required no adjustments. Polyacrylamide urea gels demonstrated adjustable fragmentation size over a wide range. The oligonucleotide pool was reassembled by internal primer extension to full length with a proofreading polymerase to improve yield over Taq. We present a computer program that accurately predicts the fragmentation pattern and yields all possible fragment sequences with their respective likelihood of occurrence, taking the guesswork out of the fragmentation. The technique has been demonstrated by shuffling chloramphenicol acetyltransferase gene libraries. A 33% dUTP PCR resulted in shuffled clones with an average parental fragment size of 86 bases even without employment of a fragment size separation, and revealed a low mutation rate (0.1%). NExT DNA fragmentation is rational, easily executed and reproducible, making it superior to other techniques. Additionally, NExT could feasibly be applied to several other nucleotide analogs.
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Affiliation(s)
- Kristian M Müller
- Institut für Biologie III, Universität Freiburg Schänzlestrasse 1, 79104 Freiburg, Germany.
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160
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Bornscheuer UT, Buchholz K. Highlights in Biocatalysis - Historical Landmarks and Current Trends. Eng Life Sci 2005. [DOI: 10.1002/elsc.200520089] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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161
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Vanhercke T, Ampe C, Tirry L, Denolf P. Reducing mutational bias in random protein libraries. Anal Biochem 2005; 339:9-14. [PMID: 15766704 DOI: 10.1016/j.ab.2004.11.032] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2004] [Indexed: 11/27/2022]
Abstract
The success of protein optimization through directed molecular evolution depends to a large extent on the size and quality of the displayed library. Current low-fidelity DNA polymerases that are commonly used during random mutagenesis and recombination in vitro display strong mutational preferences, favoring the substitution of certain nucleotides over others. The result is a biased and reduced functional diversity in the library under selection. In an effort to reduce mutational bias, we combined two different low-fidelity DNA polymerases, Taq and Mutazyme, which have opposite mutational spectra. As a first step, random mutants of the Bacillus thuringiensis cry9Ca1 gene were generated by separate error-prone polymerase chain reactions (PCRs) with each of the two polymerases. Subsequent shuffling by staggered extension process (StEP) of the PCR products resulted in intermediate numbers of AT and GC substitutions, compared to the Taq or Mutazyme error-prone PCR libraries. This strategy should allow generating unbiased libraries or libraries with a specific degree of mutational bias by applying optimal mutagenesis frequencies during error-prone PCR and controlling the concentration of template in the shuffling reaction while taking into account the GC content of the target gene.
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Affiliation(s)
- Thomas Vanhercke
- Department of Crop Protection, Faculty of Agricultural and Applied Biological Sciences, Ghent University, B-9000 Ghent, Belgium.
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162
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Flores H, Ellington AD. A modified consensus approach to mutagenesis inverts the cofactor specificity of Bacillus stearothermophilus lactate dehydrogenase. Protein Eng Des Sel 2005; 18:369-77. [PMID: 16012175 DOI: 10.1093/protein/gzi043] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Lactate dehydrogenase from Bacillus stearothermophilus is specific for NAD+. There have been several attempts to alter the cofactor specificity of this enzyme, but these have yielded enzymes with relatively low activities that still largely prefer NAD+. A modified consensus approach was used to create a library of phylogenetically preferred amino acids situated near the cofactor binding site, and variants were screened for their ability to utilize NMN+. A triple mutant (Mut31) was discovered that proved to be more catalytically efficient than wild-type. Mut31 was also better at utilizing NAD+ than the wild-type enzyme and was weakly active with NADP+ and NMN+. An analysis of single amino acid substitutions suggested that all three mutations worked in a concerted fashion to yield robust cofactor utilization. When two previously identified amino acid substitutions were introduced into the Mut31 background, the resultant quintuply substituted enzyme not only utilized NADP+ far better than the wild-type enzyme, it actually inverted its preference for NAD+ and NADP+.
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Affiliation(s)
- Humberto Flores
- Instituto de Biotecnología/UNAM, Apartado Postal 510-3, Cuernavaca, Morelos, 62271, México
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163
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Aharoni A, Griffiths AD, Tawfik DS. High-throughput screens and selections of enzyme-encoding genes. Curr Opin Chem Biol 2005; 9:210-6. [PMID: 15811807 DOI: 10.1016/j.cbpa.2005.02.002] [Citation(s) in RCA: 122] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The availability of vast gene repertoires from both natural sources (genomic and cDNA libraries) and artificial sources (gene libraries) demands the development and application of novel technologies that enable the screening or selection of large libraries for a variety of enzymatic activities. We describe recent developments in the selection of enzyme-coding genes for directed evolution and functional genomics. We focus on HTS approaches that enable selection from large libraries (>10(6) gene variants) with relatively humble means (i.e. non-robotic systems), and on in vitro compartmentalization in particular.
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Affiliation(s)
- Amir Aharoni
- Department of Biological Chemistry, The Weizmann Institute of Science, Rehovot 76100, Israel
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164
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Volles MJ, Lansbury PT. A computer program for the estimation of protein and nucleic acid sequence diversity in random point mutagenesis libraries. Nucleic Acids Res 2005; 33:3667-77. [PMID: 15990391 PMCID: PMC1166583 DOI: 10.1093/nar/gki669] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
A computer program for the generation and analysis of in silico random point mutagenesis libraries is described. The program operates by mutagenizing an input nucleic acid sequence according to mutation parameters specified by the user for each sequence position and type of point mutation. The program can mimic almost any type of random mutagenesis library, including those produced via error-prone PCR (ep-PCR), mutator Escherichia coli strains, chemical mutagenesis, and doped or random oligonucleotide synthesis. The program analyzes the generated nucleic acid sequences and/or the associated protein library to produce several estimates of library diversity (number of unique sequences, point mutations, and single point mutants) and the rate of saturation of these diversities during experimental screening or selection of clones. This information allows one to select the optimal screen size for a given mutagenesis library, necessary to efficiently obtain a certain coverage of the sequence-space. The program also reports the abundance of each specific protein mutation at each sequence position, which is useful as a measure of the level and type of mutation bias in the library. Alternatively, one can use the program to evaluate the relative merits of preexisting libraries, or to examine various hypothetical mutation schemes to determine the optimal method for creating a library that serves the screen/selection of interest. Simulated libraries of at least 109 sequences are accessible by the numerical algorithm with currently available personal computers; an analytical algorithm is also available which can rapidly calculate a subset of the numerical statistics in libraries of arbitrarily large size. A multi-type double-strand stochastic model of ep-PCR is developed in an appendix to demonstrate the applicability of the algorithm to amplifying mutagenesis procedures. Estimators of DNA polymerase mutation-type-specific error rates are derived using the model. Analyses of an alpha-synuclein ep-PCR library and NNS synthetic oligonucleotide libraries are given as examples.
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Affiliation(s)
- Michael J Volles
- Center for Neurologic Diseases, Brigham and Women's Hospital and Department of Neurology, Harvard Medical School 65 Landsdowne Street, Cambridge, MA 02139, USA.
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165
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Schmidt M, Bornscheuer UT. High-throughput assays for lipases and esterases. ACTA ACUST UNITED AC 2005; 22:51-6. [PMID: 15857783 DOI: 10.1016/j.bioeng.2004.09.004] [Citation(s) in RCA: 85] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2004] [Revised: 09/23/2004] [Accepted: 09/24/2004] [Indexed: 11/21/2022]
Abstract
In the past few years a considerable number of high-throughput screening (HTS) systems have been developed, especially for lipases and esterases. In this review, a range of HTS methods for the directed evolution of these hydrolases are covered. This includes spectrophotometric and fluorimetric formats as well as other approaches to allow for fast, efficient and reliable identification of desired enzyme variants within large mutant libraries. In addition, methods for library creation and application of lipases and esterases are briefly covered.
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Affiliation(s)
- Marlen Schmidt
- Institute of Chemistry and Biochemistry, Department of Technical Chemistry and Biotechnology, Greifswald University, Soldmannstr. 16, D-17487 Greifswald, Germany
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166
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Dubey A, Realff MJ, Lee JH, Bommarius AS. Support vector machines for learning to identify the critical positions of a protein. J Theor Biol 2005; 234:351-61. [PMID: 15784270 DOI: 10.1016/j.jtbi.2004.11.037] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/23/2004] [Indexed: 11/22/2022]
Abstract
A method for identifying the positions in the amino acid sequence, which are critical for the catalytic activity of a protein using support vector machines (SVMs) is introduced and analysed. SVMs are supported by an efficient learning algorithm and can utilize some prior knowledge about the structure of the problem. The amino acid sequences of the variants of a protein, created by inducing mutations, along with their fitness are required as input data by the method to predict its critical positions. To investigate the performance of this algorithm, variants of the beta-lactamase enzyme were created in silico using simulations of both mutagenesis and recombination protocols. Results from literature on beta-lactamase were used to test the accuracy of this method. It was also compared with the results from a simple search algorithm. The algorithm was also shown to be able to predict critical positions that can tolerate two different amino acids and retain function.
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Affiliation(s)
- Anshul Dubey
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0100, USA
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167
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Hamamatsu N, Aita T, Nomiya Y, Uchiyama H, Nakajima M, Husimi Y, Shibanaka Y. Biased mutation-assembling: an efficient method for rapid directed evolution through simultaneous mutation accumulation. Protein Eng Des Sel 2005; 18:265-71. [PMID: 15928005 DOI: 10.1093/protein/gzi028] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
We have developed an efficient optimization technique, 'biased mutation-assembling', for improving protein properties such as thermostability. In this strategy, a mutant library is constructed using the overlap extension polymerase chain reaction technique with DNA fragments from wild-type and phenotypically advantageous mutant genes, in which the number of mutations assembled in the wild-type gene is stochastically controlled by the mixing ratio of the mutant DNA fragments to wild-type fragments. A high mixing ratio results in a mutant composition biased to favor multiple-point mutants. We applied this strategy to improve the thermostability of prolyl endopeptidase from Flavobacterium meningosepticum as a case study and found that the proportion of thermostable mutants in a library increased as the mixing ratio was increased. If the proportion of thermostable mutants increases, the screening effort needed to find them should be reduced. Indeed, we isolated a mutant with a 1200-fold longer activity half-life at 60 degrees C than that of wild-type prolyl endopeptidase after screening only 2000 mutants from a library prepared with a high mixing ratio. Our results indicate that an aggressive accumulation of advantageous mutations leads to an increase in the quality of the mutant library and a reduction in the screening effort required to find superior mutants.
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Affiliation(s)
- Norio Hamamatsu
- Tsukuba Research Institute, Novartis Pharma KK, Ohkubo 8, Tsukuba 300-2611, Japan
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168
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Jones DD. Triplet nucleotide removal at random positions in a target gene: the tolerance of TEM-1 beta-lactamase to an amino acid deletion. Nucleic Acids Res 2005; 33:e80. [PMID: 15897323 PMCID: PMC1129029 DOI: 10.1093/nar/gni077] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2005] [Revised: 04/01/2005] [Accepted: 04/20/2005] [Indexed: 12/02/2022] Open
Abstract
The deletion of amino acids is one of the evolutionary mechanisms by which nature adapts the function of proteins. A simple method has been developed that mimics this event in vitro by introducing a deletion of exactly three nucleotides at random positions in a target gene. The method involved the engineering of the mini-Mu transposon to introduce a recognition sequence for the restriction enzyme MlyI. The new transposon, MuDel, was capable of efficient insertion into a target DNA sequence. To determine the efficacy of the method, the bla gene that encodes the TEM-1 beta-lactamase was used as the target and a small library containing 22 different sequence variants was created. Of these 22 variants, 8 were identified that conferred resistance to ampicillin on Escherichia coli. Each of the TEM-1 variants possessed a distinct ampicillin minimum inhibitory concentration, ranging from 500 to >10,000 microg/ml. Sequence analysis revealed that active TEM-1 variants contained deletions not just in loops but also helices, and included regions known to be involved in catalysis, antibiotic resistance and inhibitor binding. This new technology is transferable to most genes, permitting an extensive analysis of deletion mutations on protein function.
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Affiliation(s)
- D Dafydd Jones
- School of Biosciences, Biomedical Sciences Building, Cardiff University Cardiff CF10 3US, UK.
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169
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Eggert T, Funke SA, Rao NM, Acharya P, Krumm H, Reetz MT, Jaeger KE. Multiplex-PCR-Based Recombination as a Novel High-Fidelity Method for Directed Evolution. Chembiochem 2005; 6:1062-7. [PMID: 15880674 DOI: 10.1002/cbic.200400417] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
A new and convenient method for the in vitro recombination of single point mutations is presented. This method efficiently reduces the introduction of novel point mutations, which usually occur during recombination processes. A multiplex polymerase chain reaction (multiplex-PCR) generates gene fragments that contain preformed point mutations. These fragments are subsequently assembled into full-length genes by a recombination-PCR step. The process of multiplex-PCR-based recombination (MUPREC) does not require DNase I digestion for gene-fragmentation and is therefore easy to perform, even with small amounts of target DNA. The protocol yields high frequencies of recombination without creating a wild-type background. Furthermore, the low error rate results in high-quality variant libraries of true recombinants, thereby minimizing the screening efforts and saving time and money. The MUPREC method was used in the directed evolution of a Bacillus subtilis lipase that can catalyse the enantioselective hydrolysis of a model meso-compound. Thereby, the method was proved to be useful in producing a reliable second-generation library of true recombinants from which better performing variants were identified by using a high-throughput electrospray ionization mass spectrometry (ESI-MS) screening system.
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Affiliation(s)
- Thorsten Eggert
- Institut für Molekulare Enzymtechnologie, Heinrich-Heine-Universität Düsseldorf, Forschungszentrum Jülich, 52426 Jülich, Germany.
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170
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Gillam EMJ. Exploring the potential of xenobiotic-metabolising enzymes as biocatalysts: Evolving designer catalysts from polyfunctional cytochrome P450 enzymes. Clin Exp Pharmacol Physiol 2005; 32:147-52. [PMID: 15743395 DOI: 10.1111/j.1440-1681.2005.04165.x] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
1. Biological catalysts have the advantage of being able to catalyse chemical reactions with an often exquisite degree of regio- and stereospecificity in contrast with traditional methods of organic synthesis. 2. The cytochrome P450 enzymes involved in human drug metabolism are ideal starting materials for the development of designer biocatalysts by virtue of their catalytic versatility and extreme substrate diversity. Applications can be envisaged in fine chemical synthesis, such as in the pharmaceutical industry and bioremediation. 3. A variety of techniques of enzyme engineering are currently being applied to P450 enzymes to explore their catalytic potential. Although most studies to date have been performed with bacterial P450s, reports are now emerging of work with mammalian forms of the enzymes. 4. The present minireview will explore the rationale and general techniques for redesigning P450s, review the results obtained to date with xenobiotic-metabolising forms and discuss strategies to overcome some of the logistic problems limiting the full exploitation of these enzymes as industrial-scale biocatalysts.
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Affiliation(s)
- Elizabeth M J Gillam
- School of Biomedical Sciences, Department of Physiology and Pharmacology, The University of Queensland, Brisbane, Queensland, Australia.
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171
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Hughes MD, Zhang ZR, Sutherland AJ, Santos AF, Hine AV. Discovery of active proteins directly from combinatorial randomized protein libraries without display, purification or sequencing: identification of novel zinc finger proteins. Nucleic Acids Res 2005; 33:e32. [PMID: 15722478 PMCID: PMC549430 DOI: 10.1093/nar/gni031] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
We have successfully linked protein library screening directly with the identification of active proteins, without the need for individual purification, display technologies or physical linkage between the protein and its encoding sequence. By using 'MAX' randomization we have rapidly constructed 60 overlapping gene libraries that encode zinc finger proteins, randomized variously at the three principal DNA-contacting residues. Expression and screening of the libraries against five possible target DNA sequences generated data points covering a potential 40,000 individual interactions. Comparative analysis of the resulting data enabled direct identification of active proteins. Accuracy of this library analysis methodology was confirmed by both in vitro and in vivo analyses of identified proteins to yield novel zinc finger proteins that bind to their target sequences with high affinity, as indicated by low nanomolar apparent dissociation constants.
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Affiliation(s)
- Marcus D. Hughes
- School of Life and Health Sciences, Aston UniversityAston Triangle, Birmingham B4 7ET, UK
- ProtaMAX Ltd55 Colmore Row, Birmingham B3 2AS, UK
| | - Zhan-Ren Zhang
- School of Life and Health Sciences, Aston UniversityAston Triangle, Birmingham B4 7ET, UK
| | - Andrew J. Sutherland
- Chemical Engineering and Applied Chemistry, School of Engineering & Applied Science, Aston UniversityAston Triangle, Birmingham B4 7ET, UK
| | - Albert F. Santos
- GE Healthcare, Cardiff LaboratoriesForest Farm, Whitchurch, Cardiff CF14 7YT, UK
| | - Anna V. Hine
- School of Life and Health Sciences, Aston UniversityAston Triangle, Birmingham B4 7ET, UK
- ProtaMAX Ltd55 Colmore Row, Birmingham B3 2AS, UK
- To whom correspondence should be addressed. Tel: +44 121 204 3961; Fax: +44 121 359 0733;
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Biles BD, Connolly BA. Low-fidelity Pyrococcus furiosus DNA polymerase mutants useful in error-prone PCR. Nucleic Acids Res 2004; 32:e176. [PMID: 15601989 PMCID: PMC545472 DOI: 10.1093/nar/gnh174] [Citation(s) in RCA: 66] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Random mutagenesis constitutes an important approach for identifying critical regions of proteins, studying structure-function relations and developing novel proteins with desired properties. Perhaps, the most popular method is the error-prone PCR, in which mistakes are introduced into a gene, and hence a protein, during DNA polymerase-catalysed amplification cycles. Unfortunately, the relatively high fidelities of the thermostable DNA polymerases commonly used for PCR result in too few mistakes in the amplified DNA for efficient mutagenesis. In this paper, we describe mutants of the family B DNA polymerase from Pyrococcus furiosus (Pfu-Pol), with superb performance in error-prone PCR. The key amino acid changes occur in a short loop linking two long alpha-helices that comprise the 'fingers' sub-domain of the protein. This region is responsible for binding the incoming dNTPs and ensuring that only correct bases are inserted opposite the complementary base in the template strand. Mutations in the short loop, when combined with an additional mutation that abolishes the 3'-5' proof-reading exonuclease activity, convert the extremely accurate wild-type polymerase into a variant with low fidelity. The mutant Pfu-Pols can be applied in error-prone PCR, under exactly the same conditions used for standard, high-fidelity PCR with the wild-type enzyme. Large quantities of amplified product, with a high frequency of nearly indiscriminate mutations, are produced. It is anticipated that the Pfu-Pol variants will be extremely useful for the randomization of gene, and hence protein, sequences.
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Affiliation(s)
- Benjamin D Biles
- Institute for Cell and Molecular Biosciences, University of Newcastle, Newcastle upon Tyne NE2 4HH, UK
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