Directed evolution of single proteins, metabolic pathways, and viruses

Characterization of the Binding Behavior of Specific Cobalt and Nickel Ion-Binding Peptides Identified by Phage Surface Display

In recent years, the application focus of phage surface display (PSD) technology has been extended to the identification of metal ion-selective peptides. In previous studies, two phage clones—a nickel-binding one with the peptide motif CNAKHHPRCGGG and a cobalt-binding one with the peptide motif CTQMLGQLCGGG—were isolated, and their binding ability to metal-loaded NTA agarose beads was investigated. Here, the free cyclic peptides are characterized by UV/VIS spectroscopy with respect to their binding capacity for the respective target ion and in crossover experiments for the other ion by isothermal titration calorimetry (ITC) in different buffer systems. This revealed differences in selectivity and affinity. The cobalt-specific peptide is very sensitive to different buffers; it has a 20-fold higher affinity for cobalt and nickel under suitable conditions. The nickel-specific peptide binds more moderately and robustly in different buffers but only selectively to nickel.

Removal of toxic heavy metals using genetically engineered microbes: Molecular tools, risk assessment and management strategies

The direct release of industrial effluent into the water and other anthropogenic activities causes water pollution. Heavy metal ions are the primary contaminant in the industrial effluents which are exceptionally toxic at low concentrations, terribly disturb the endurance equilibrium of activities in the eco-system and be remarkably hazardous to human health. Different conventional treatment methodologies were utilized for the removal of toxic pollutants from the contaminated water which has several drawbacks such as cost-ineffective and lower efficiency. Recently, genetically modified micro-organisms (GMMs) stand-out for the removal of toxic heavy metals are viewed as an economically plausible and environmentally safe technique. GMMs are microorganisms whose genetic material has been changed utilizing genetic engineering techniques that exhibit enhanced removal efficiency in comparison with the other treatment methodologies. The present review comments the GMMs such as bacteria, algae and fungi and their potential for the removal of toxic heavy metals. This review provides current aspects of different advanced molecular tools which have been used to manipulate micro-organisms through genetic expression for the breakdown of metal compounds in polluted areas. The strategies, major limitations and challenges for genetic engineering of micro-organisms have been reviewed. The current review investigates the approaches working on utilizing genetically modified micro-organisms and effective removal techniques.

Directed Evolution: Methodologies and Applications

Directed evolution aims to expedite the natural evolution process of biological molecules and systems in a test tube through iterative rounds of gene diversifications and library screening/selection. It has become one of the most powerful and widespread tools for engineering improved or novel functions in proteins, metabolic pathways, and even whole genomes. This review describes the commonly used gene diversification strategies, screening/selection methods, and recently developed continuous evolution strategies for directed evolution. Moreover, we highlight some representative applications of directed evolution in engineering nucleic acids, proteins, pathways, genetic circuits, viruses, and whole cells. Finally, we discuss the challenges and future perspectives in directed evolution.

Visualizing Spatiotemporal Dynamics of Intercellular Mechanotransmission upon Wounding

During cell-to-cell communications, the interplay between physical and biochemical cues is essential for informational exchange and functional coordination, especially in multicellular organisms. However, it remains a challenge to visualize intercellular signaling dynamics in single live cells. Here, we report a photonic approach, based on laser microscissors and Förster resonance energy transfer (FRET) microscopy, to study intercellular signaling transmission. First, using our high-throughput screening platform, we developed a highly sensitive FRET-based biosensor (SCAGE) for Src kinase, a key regulator of intercellular interactions and signaling cascades. Notably, SCAGE showed a more than 40-fold sensitivity enhancement than the original biosensor in live mammalian cells. Next, upon local severance of physical intercellular connections by femtosecond laser pulses, SCAGE enabled the visualization of a transient Src activation across neighboring cells. Lastly, we found that this observed transient Src activation following the loss of cell-cell contacts depends on the passive structural support of cytoskeleton but not on the active actomyosin contractility. Hence, by precisely introducing local physical perturbations and directly visualizing spatiotemporal transmission of ensuing signaling events, our integrated approach could be broadly applied to mimic and investigate the wounding process at single-cell resolutions. This integrated approach with highly sensitive FRET-based biosensors provides a unique system to advance our in-depth understanding of molecular mechanisms underlying the physical-biochemical basis of intercellular coupling and wounding processes.

GigaMatrix™: An Ultra High-Throughput Tool for Accessing Biodiversity

Recombinant approaches for tapping into the biodiversity present in nature for the discovery of novel enzymes and biosynthetic pathways can result in large gene libraries. Likewise, laboratory evolution techniques can result in large but potentially valuable libraries. Thorough screening of these libraries requires ultra high-throughput methods. The GigaMatrix™ screening platform addresses this opportunity using reusable high-density plates with 100,000 to 1,000,000 through-hole wells in a microplate footprint. In addition to throughputs of over 107 wells per day, the platform offers a significant reduction in reagent use and waste, has fully integrated automated “cherry picking,” and uses no complicated dispensing equipment. Wells containing putative hits from targeted fluorescent liquid phase assays are revealed by a fluorescent imaging system. Vision-guided robotics are utilized to recover hits by accessing individual 200 μm and smaller wells with a disposable sterile needle. The GigaMatrix platform has proven to be an effective and efficient tool for screening gene libraries for both discovery and evolution applications.

Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently

The amino acid sequence of a protein affects both its structure and its function. Thus, the ability to modify the sequence, and hence the structure and activity, of individual proteins in a systematic way, opens up many opportunities, both scientifically and (as we focus on here) for exploitation in biocatalysis. Modern methods of synthetic biology, whereby increasingly large sequences of DNA can be synthesised de novo, allow an unprecedented ability to engineer proteins with novel functions. However, the number of possible proteins is far too large to test individually, so we need means for navigating the 'search space' of possible protein sequences efficiently and reliably in order to find desirable activities and other properties. Enzymologists distinguish binding (Kd) and catalytic (kcat) steps. In a similar way, judicious strategies have blended design (for binding, specificity and active site modelling) with the more empirical methods of classical directed evolution (DE) for improving kcat (where natural evolution rarely seeks the highest values), especially with regard to residues distant from the active site and where the functional linkages underpinning enzyme dynamics are both unknown and hard to predict. Epistasis (where the 'best' amino acid at one site depends on that or those at others) is a notable feature of directed evolution. The aim of this review is to highlight some of the approaches that are being developed to allow us to use directed evolution to improve enzyme properties, often dramatically. We note that directed evolution differs in a number of ways from natural evolution, including in particular the available mechanisms and the likely selection pressures. Thus, we stress the opportunities afforded by techniques that enable one to map sequence to (structure and) activity in silico, as an effective means of modelling and exploring protein landscapes. Because known landscapes may be assessed and reasoned about as a whole, simultaneously, this offers opportunities for protein improvement not readily available to natural evolution on rapid timescales. Intelligent landscape navigation, informed by sequence-activity relationships and coupled to the emerging methods of synthetic biology, offers scope for the development of novel biocatalysts that are both highly active and robust.

DNA shuffling of cytochromes P450 for indigoid pigment production

DNA family shuffling is a powerful method of directed evolution applied for the generation of novel enzymes with the aim of improving their existing features or creating completely new enzyme properties. This method of evolution in vitro requires parental sequences containing a high level of sequence similarity, such as is found in family members of cytochrome P450 enzymes. Cytochromes P450 (P450s or CYPs) are capable of catalyzing a variety of chemical reactions and generating a wide range of products including dye production (e.g., pigments indigo and indirubin). Application of the method of DNA family shuffling described here has enabled us to create novel P450 enzymes and to further extend the capacity of P450 to oxidize indole, leading to pigment formation.

Synthetic biology: putting synthesis into biology

The ability to manipulate living organisms is at the heart of a range of emerging technologies that serve to address important and current problems in environment, energy, and health. However, with all its complexity and interconnectivity, biology has for many years been recalcitrant to engineering manipulations. The recent advances in synthesis, analysis, and modeling methods have finally provided the tools necessary to manipulate living systems in meaningful ways and have led to the coining of a field named synthetic biology. The scope of synthetic biology is as complicated as life itself—encompassing many branches of science and across many scales of application. New DNA synthesis and assembly techniques have made routine customization of very large DNA molecules. This in turn has allowed the incorporation of multiple genes and pathways. By coupling these with techniques that allow for the modeling and design of protein functions, scientists have now gained the tools to create completely novel biological machineries. Even the ultimate biological machinery—a self‐replicating organism—is being pursued at this moment. The aim of this article is to dissect and organize these various components of synthetic biology into a coherent picture. WIREs Syst Biol Med 2011 3 7–20 DOI: 10.1002/wsbm.104

This article is categorized under: 1

Analytical and Computational Methods > Computational Methods

2

Laboratory Methods and Technologies > Genetic/Genomic Methods

3

Laboratory Methods and Technologies > Metabolomics

Toward protein engineering for phytoremediation: possibilities and challenges

The combination of rational protein engineering and directed evolution techniques allow for the redesign of enzymes with tailored properties for use in environmental remediation. This review summarizes current molecular methods for either altering or improving protein function and highlights examples of how these methods can address bioremediation problems. Although much of the protein engineering applied to environmental clean-up employs microbial systems, there is great potential for and significant challenges to translating these approaches to plant systems for phytoremediation purposes. Protein engineering technologies combined with genomic information and metabolic engineering strategies hold promise for the design of plants and microbes to remediate organic and inorganic pollutants.

The 'LipoYeasts' project: using the oleaginous yeast Yarrowia lipolytica in combination with specific bacterial genes for the bioconversion of lipids, fats and oils into high-value products

The oleochemical industry is currently still dominated by conventional chemistry, with biotechnology only starting to play a more prominent role, primarily with respect to the biosurfactants or lipases, e.g. as detergents, or for biofuel production. A major bottleneck for all further biotechnological applications is the problem of the initial mobilization of cheap and vastly available lipid and oil substrates, which are then to be transformed into high-value biotechnological, nutritional or pharmacological products. Under the EU-sponsored LipoYeasts project we are developing the oleaginous yeast Yarrowia lipolytica into a versatile and high-throughput microbial factory that, by use of specific enzymatic pathways from hydrocarbonoclastic bacteria, efficiently mobilizes lipids by directing its versatile lipid metabolism towards the production of industrially valuable lipid-derived compounds like wax esters (WE), isoprenoid-derived compounds (carotenoids, polyenic carotenoid ester), polyhydroxyalkanoates (PHAs) and free hydroxylated fatty acids (HFAs). Different lipid stocks (petroleum, alkane, vegetable oil, fatty acid) and combinations thereof are being assessed as substrates in combination with different mutant and recombinant strains of Y. lipolytica, in order to modulate the composition and yields of the produced added-value products.

Exploring protein fitness landscapes by directed evolution

Directed evolution circumvents our profound ignorance of how a protein's sequence encodes its function by using iterative rounds of random mutation and artificial selection to discover new and useful proteins. Proteins can be tuned to adapt to new functions or environments by simple adaptive walks involving small numbers of mutations. Directed evolution studies have shown how rapidly some proteins can evolve under strong selection pressures and, because the entire 'fossil record' of evolutionary intermediates is available for detailed study, they have provided new insight into the relationship between sequence and function. Directed evolution has also shown how mutations that are functionally neutral can set the stage for further adaptation.

Biosynthesis of ubiquinone compounds with conjugated prenyl side chains

Enzymatic steps from two different biosynthetic pathways were combined in Escherichia coli, directing the synthesis of a new class of biomolecules--ubiquinones with prenyl side chains containing conjugated double bonds. This was achieved by the activity of a C(30) carotenoid desaturase, CrtN, from Staphylococcus aureus, which exhibited an inherent flexibility in substrate recognition compared to other carotenoid desaturases. By utilizing the known plasticity of E. coli's native ubiquinone biosynthesis pathway and the unusual activity of CrtN, modified ubiquinone structures with prenyl side chains containing conjugated double bonds were generated. The side chains of the new structures were confirmed to have different degrees of desaturation by mass spectrometry and nuclear magnetic resonance analysis. In vivo (14)C labeling and in vitro activity studies showed that CrtN desaturates octaprenyl diphosphates but not the ubiquinone compounds directly. Antioxidant properties of conjugated side chain ubiquinones were analyzed in an in vitro beta-carotene-linoleate model system and were found to be higher than the corresponding unmodified ubiquinones. These results demonstrate that by combining pathway steps from different branches of biosynthetic networks, classes of compounds not observed in nature can be synthesized and structural motifs that are functionally important can be combined or enhanced.

Directed evolution of novel protein functions

Directed evolution has been successfully used to engineer proteins for basic and applied biological research. However, engineering of novel protein functions by directed evolution remains an overwhelming challenge. This challenge may come from the fact that multiple simultaneously or synergistic mutations are required for the creation of a novel protein function. Here we review the key developments in engineering of novel protein functions by using either directed evolution or a combined directed evolution and rational or computational design approach. Specific attention will be paid to a molecular evolution model for generation of novel proteins. The engineered novel proteins should not only broaden the range of applications of proteins but also provide new insights into protein structure-function relationship and protein evolution.

Directed Evolution of 2-Keto-3-deoxy-6-phosphogalactonate Aldolase To Replace 3-Deoxy-d-arabino-heptulosonic Acid 7-Phosphate Synthase

Directed evolution of 2-keto-3-deoxy-6-phosphogalactonate (KDPGal) aldolase for microbial synthesis of shikimate pathway products provides an alternate strategy to circumvent the competition for phosphoenolpyruvate between 3-deoxy-D-arabino-heptulosonic acid 7-phosphate (DAHP) synthase and the phosphoenolpyruvate:carbohydrate phosphotransferase system in Escherichia coli. E. coli KDPGal aldolase was evolved using a combination of error-prone polymerase chain reaction, DNA shuffling, and multiple-site-directed mutagenesis to afford KDPGal aldolase variant NR8.276-2, which exhibits a 60-fold improvement in the ratio kcat/KM relative to that of wild-type E. coli KDPGal aldolase in catalyzing the addition of pyruvate to d-erythrose 4-phosphate to form DAHP. On the basis of its nucleotide sequence, NR8.276-2 contains seven amino acid changes from the wild-type E. coli KDPGal aldolase. Amplified expression of NR8.276-2 in the DAHP synthase and shikimate dehydrogenase-deficient E. coli strain NR7 under fed-batch fermentor-controlled cultivation conditions resulted in synthesis of 13 g/L 3-dehydroshikimic acid in 6.5% molar yield from glucose. Increased coexpression of the irreversible downstream enzyme 3-dehydroquinate synthase increased production of 3-dehydroshikimic acid to 19 g/L in 9.7% molar yield from glucose. Coamplification with transketolase, which increases d-erythrose 4-phosphate availability, afforded 16 g/L 3-dehydroshikimic acid in 8.5% molar yield.

In vitro 'sexual' evolution through the PCR-based staggered extension process (StEP)

This protocol describes a directed evolution method for in vitro mutagenesis and recombination of polynucleotide sequences. The staggered extension process (StEP) is essentially a modified PCR that uses highly abbreviated annealing and extension steps to generate staggered DNA fragments and promote crossover events along the full length of the template sequence(s). The resulting library of chimeric polynucleotide sequence(s) is subjected to subsequent high-throughput functional analysis. The recombination efficiency of the StEP method is comparable to that of the most widely used in vitro DNA recombination method, DNA shuffling. However, the StEP method does not require DNA fragmentation and can be carried out in a single tube. This protocol can be completed in 4-6 h.

Outlook for cellulase improvement: screening and selection strategies

Cellulose is the most abundant renewable natural biological resource, and the production of biobased products and bioenergy from less costly renewable lignocellulosic materials is important for the sustainable development of human beings. A reduction in cellulase production cost, an improvement in cellulase performance, and an increase in sugar yields are all vital to reduce the processing costs of biorefineries. Improvements in specific cellulase activities for non-complexed cellulase mixtures can be implemented through cellulase engineering based on rational design or directed evolution for each cellulase component enzyme, as well as on the reconstitution of cellulase components. Here, we review quantitative cellulase activity assays using soluble and insoluble substrates, and focus on their advantages and limitations. Because there are no clear relationships between cellulase activities on soluble substrates and those on insoluble substrates, soluble substrates should not be used to screen or select improved cellulases for processing relevant solid substrates, such as plant cell walls. Cellulase improvement strategies based on directed evolution using screening on soluble substrates have been only moderately successful, and have primarily targeted improvement in thermal tolerance. Heterogeneity of insoluble cellulose, unclear dynamic interactions between insoluble substrate and cellulase components, and the complex competitive and/or synergic relationship among cellulase components limit rational design and/or strategies, depending on activity screening approaches. Herein, we hypothesize that continuous culture using insoluble cellulosic substrates could be a powerful selection tool for enriching beneficial cellulase mutants from the large library displayed on the cell surface.

IPRO: an iterative computational protein library redesign and optimization procedure

A number of computational approaches have been developed to reengineer promising chimeric proteins one at a time through targeted point mutations. In this article, we introduce the computational procedure IPRO (iterative protein redesign and optimization procedure) for the redesign of an entire combinatorial protein library in one step using energy-based scoring functions. IPRO relies on identifying mutations in the parental sequences, which when propagated downstream in the combinatorial library, improve the average quality of the library (e.g., stability, binding affinity, specific activity, etc.). Residue and rotamer design choices are driven by a globally convergent mixed-integer linear programming formulation. Unlike many of the available computational approaches, the procedure allows for backbone movement as well as redocking of the associated ligands after a prespecified number of design iterations. IPRO can also be used, as a limiting case, for the redesign of a single or handful of individual sequences. The application of IPRO is highlighted through the redesign of a 16-member library of Escherichia coli/Bacillus subtilis dihydrofolate reductase hybrids, both individually and through upstream parental sequence redesign, for improving the average binding energy. Computational results demonstrate that it is indeed feasible to improve the overall library quality as exemplified by binding energy scores through targeted mutations in the parental sequences.

Directed evolution of metabolic pathways

The modification of cellular metabolism is of biotechnological and commercial significance because naturally occurring metabolic pathways are the source of diverse compounds used in fields ranging from medicine to bioremediation. Directed evolution is the experimental improvement of biocatalysts or cellular properties through iterative genetic diversification and selection procedures. The creation of novel metabolic functions without disrupting the balanced intracellular pool of metabolites is the primary challenge of pathway manipulation. The introduction of coordinated changes across multiple genetic elements, in conjunction with functional selection, presents an integrated approach for the modification of metabolism with benign physiological consequences. Directed evolution formats take advantage of the dynamic structures of genomes and genomic sub-structures and their ability to evolve in multiple directions in response to external stimuli. The elucidation, design and application of genome-restructuring mechanisms are key elements in the directed evolution of cellular metabolic pathways.

Directed evolution strategies for improved enzymatic performance

The engineering of enzymes with altered activity, specificity and stability, using directed evolution techniques that mimic evolution on a laboratory timescale, is now well established. However, the general acceptance of these methods as a route to new biocatalysts for organic synthesis requires further improvement of the methods for both ease-of-use and also for obtaining more significant changes in enzyme properties than is currently possible. Recent advances in library design, and methods of random mutagenesis, combined with new screening and selection tools, continue to push forward the potential of directed evolution. For example, protein engineers are now beginning to apply the vast body of knowledge and understanding of protein structure and function, to the design of focussed directed evolution libraries, with striking results compared to the previously favoured random mutagenesis and recombination of entire genes. Significant progress in computational design techniques which mimic the experimental process of library screening is also now enabling searches of much greater regions of sequence-space for those catalytic reactions that are broadly understood and, therefore, possible to model.

Biocatalysis for organic synthesis frequently makes use of whole-cells, in addition to isolated enzymes, either for a single reaction or for transformations via entire metabolic pathways. As many new whole-cell biocatalysts are being developed by metabolic engineering, the potential of directed evolution to improve these initial designs is also beginning to be realised.

Whole plasmid mutagenic PCR for directed protein evolution

Protein function can be engineered through iterated cycles of random mutagenesis and screening (directed evolution). Optimization of protein expression is essential for the development of sensitive and precise high throughput assays. Here we optimize the performance of a plasmid-borne Escherichia coli lacZ gene in two rounds of directed evolution. First, its promoter was "randomized" by whole plasmid polymerase chain reaction (PCR) and intra-molecular self-ligation. A genetically stable constitutive expression vector was isolated in an in vivo genetic selection. Second, the entire plasmid was randomly mutated in a slightly mutagenic long polymerase chain reaction. The PCR products were digested with a restriction enzyme, self-ligated by T4 DNA ligase and transformed into E. coli. The resulting library of beta-galactosidase (beta-gal) mutants consisted mostly ( approximately 80%) of hypomorphs, suggesting that the mutation rate was appropriate for directed evolution applications. We isolated and characterized 14 variants with increased activity in reactions with 5-bromo-4-chloro-3-indolyl-beta-d-galactopyranoside (X-gal). The purified protein derived from one clone exhibited a 100-fold improvement in k(cat) over its parent in reactions with para-nitrophenyl-beta-d-galactopyranoside (pNP-gal). This latter result clearly demonstrates the utility of whole plasmid mutagenic PCR for directed protein evolution.

Analysis of coumarin 7-hydroxylation activity of cytochrome P450 2A6 using random mutagenesis

Cytochrome P450 (P450) 2A6 is an important human enzyme involved in the metabolism of many xenobiotic chemicals including coumarin, indole, nicotine, and carcinogenic nitrosamines. A combination of random mutagenesis and high-throughput screening was used in the analysis of P450 2A6, utilizing a fluorescent coumarin 7-hydroxylation assay. The steady-state kinetic parameters (k(cat) and Km) for coumarin 7-hydroxylation by wild-type P450 2A6 and 35 selected mutants were measured and indicated that mutants throughout the coding region can have effects on activity. Five mutants showing decreased catalytic efficiency (k(cat)/Km) were further analyzed for substrate selectivity and binding affinities and showed reduced catalytic activities for 7-methoxycoumarin O-demethylation, tert-butyl methyl ether O-demethylation, and indole 3-hydroxylation. All mutants except one (K476E) showed decreased coumarin binding affinities (and also higher Km values), indicating that this is a major basis for the decreased enzymatic activities. A recent x-ray crystal structure of P450 2A6 bound to coumarin (Yano, J. K., Hsu, M. H., Griffin, K. J., Stout, C. D., and Johnson, E. F. (2005) Nat. Struct. Mol. Biol. 12, 822-823) indicates that the recovered A481T and N297S mutations appear to be close to coumarin, suggesting direct perturbation of substrate interaction. The decreased enzymatic activity of the K476E mutant was associated with decreases both in NADPH oxidation and the reduction rate of the ferric P450 2A6-coumarin complex. The attenuation is caused in part to lower binding affinity for NADPH-P450 reductase, but the K476E mutant did not achieve the wild-type coumarin 7-hydroxylation activity even at high reductase concentrations.

Laboratory-directed protein evolution

Systematic approaches to directed evolution of proteins have been documented since the 1970s. The ability to recruit new protein functions arises from the considerable substrate ambiguity of many proteins. The substrate ambiguity of a protein can be interpreted as the evolutionary potential that allows a protein to acquire new specificities through mutation or to regain function via mutations that differ from the original protein sequence. All organisms have evolutionarily exploited this substrate ambiguity. When exploited in a laboratory under controlled mutagenesis and selection, it enables a protein to "evolve" in desired directions. One of the most effective strategies in directed protein evolution is to gradually accumulate mutations, either sequentially or by recombination, while applying selective pressure. This is typically achieved by the generation of libraries of mutants followed by efficient screening of these libraries for targeted functions and subsequent repetition of the process using improved mutants from the previous screening. Here we review some of the successful strategies in creating protein diversity and the more recent progress in directed protein evolution in a wide range of scientific disciplines and its impacts in chemical, pharmaceutical, and agricultural sciences.

A modified consensus approach to mutagenesis inverts the cofactor specificity of Bacillus stearothermophilus lactate dehydrogenase

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+.

Directed evolution of biocatalytic processes

The benefits of applying biocatalysts to organic synthesis, such as their high chemo-, regio-, and enantio-specificity and selectivity, must be seriously considered, especially where chemical routes are unavailable, complex or prohibitively expensive. In cases where a potential biocatalytic route is not yet efficient enough to compete with chemical synthesis, directed evolution, and/or process engineering could be implemented for improvements. While directed evolution has demonstrated great potential to enhance enzyme properties, there will always be some aspects of biocatalytic processes that it does not address. Even where it can be successfully applied, the resources required for its implementation must currently be weighed against the feasibility of, and resources available for developing a chemical synthesis route. Here, we review the potential of combining directed evolution with process engineering, and recent developments to improve their implementation. Favourable targets for the directed evolution of new biocatalysts are the syntheses of highly complex molecules, especially where chemistry, metabolic engineering or recombineering provide a partial solution. We also review some of the recent advances in the application of these approaches alongside the directed evolution of biocatalysts.

Rapid Creation of a Novel Protein Function by in Vitro Coevolution

We have developed a simple and efficient method for creation of novel protein functions in an existing protein scaffold. The in vitro coevolution method involves design of a hypothetical pathway for the target function followed by stepwise directed evolution of the corresponding protein along the pathway. As a test case, this strategy was used to engineer variants of human estrogen receptor alpha ligand-binding domain (hERalphaLBD) with novel corticosterone activity. Two steroids, testosterone and progesterone, that provide a progressive structural bridge between 17beta-estradiol and corticosterone, were chosen to assist the directed evolution of hERalphaLBD. A total of approximately 10(6) variants were screened in four rounds of random mutagenesis, resulting in two hERalphaLBD variants that respond to corticosterone. Creation of this new ligand activity required the presence of four simultaneous mutations. In addition, several required mutations were located outside the ligand binding pocket and yet exerted important action on ligand binding. Our results demonstrate the ability of in vitro coevolution to create novel protein function that is difficult or impossible to achieve by existing protein engineering approaches and also shed light on the natural evolution of nuclear hormone receptors. This in vitro coevolution approach should provide a powerful, broadly applicable tool for engineering biological molecules and systems with novel functions.

Receptor-Assisted Combinatorial Chemistry: Thermodynamics and Kinetics in Drug Discovery

Current drug discovery using combinatorial chemistry involves synthesis followed by screening, but emerging methods involve receptor-assistance to combine these steps. Adding stoichiometric amounts of receptor during library synthesis alters the kinetics or thermodynamics of the synthesis in a way that identifies the best-binding library members. Three main methods have emerged thus far in receptor-assisted combinatorial chemistry: dynamic combinatorial libraries, receptor-accelerated synthesis, and a new method, pseudo-dynamic libraries. Pseudo-dynamic libraries apply both thermodynamics and kinetics to amplify library members to easily observable levels, and attain selectivity heretofore unseen in receptor-assisted systems.

Enhancement of 7-methoxyresorufin O-demethylation activity of human cytochrome P450 1A2 by molecular breeding

Alkylresorufins are model substrates for cytochrome P450 (P450) 1A2. The ability of human P450 1A2 to catalyze 7-methoxyresorufin O-demethylation was improved by screening of random mutant libraries (expressed in Escherichia coli) on the basis of 7-methoxyresorufin O-demethylation. After three rounds of mutagenesis and screening, the triple mutant E163K/V193M/K170Q yielded a kcat > five times faster than wild type P450 1A2 in steady-state kinetic analysis using either isolated membrane fractions or purified, reconstituted enzymes. The enhanced catalytic activity was not attributed to changes in substrate affinity. The kinetic hydrogen isotope effect of the triple mutant did not change from wild type enzyme and suggests that C-H bond cleavage is rate-limiting in both enzymes. Homology modeling, based on an X-ray structure of rabbit P450 2C5, suggests that the locations of mutated residues are not close to the substrate binding site and therefore that structural elements outside of this site play roles in changing the catalytic activity. This approach has potential value in understanding P450 1A2 and generating engineered enzymes with enhanced catalytic activity.

Exploring nitrilase sequence space for enantioselective catalysis

Nitrilases are important in the biosphere as participants in synthesis and degradation pathways for naturally occurring, as well as xenobiotically derived, nitriles. Because of their inherent enantioselectivity, nitrilases are also attractive as mild, selective catalysts for setting chiral centers in fine chemical synthesis. Unfortunately, <20 nitrilases have been reported in the scientific and patent literature, and because of stability or specificity shortcomings, their utility has been largely unrealized. In this study, 137 unique nitrilases, discovered from screening of >600 biotope-specific environmental DNA (eDNA) libraries, were characterized. Using culture-independent means, phylogenetically diverse genomes were captured from entire biotopes, and their genes were expressed heterologously in a common cloning host. Nitrilase genes were targeted in a selection-based expression assay of clonal populations numbering 10(6) to 10(10) members per eDNA library. A phylogenetic analysis of the novel sequences discovered revealed the presence of at least five major sequence clades within the nitrilase subfamily. Using three nitrile substrates targeted for their potential in chiral pharmaceutical synthesis, the enzymes were characterized for substrate specificity and stereospecificity. A number of important correlations were found between sequence clades and the selective properties of these nitrilases. These enzymes, discovered using a high-throughput, culture-independent method, provide a catalytic toolbox for enantiospecific synthesis of a variety of carboxylic acid derivatives, as well as an intriguing library for evolutionary and structural analyses.

A High-Throughput Screen for Porphyrin Metal Chelatases: Application to the Directed Evolution of Ferrochelatases for Metalloporphyrin Biosynthesis

Porphyrins are of particular interest in a variety of applications ranging from biocatalysis and chemical synthesis to biosensor and electronic technologies as well as cancer treatment. Recently, we have developed a versatile system for the high-level production of porphyrins in engineered E. coli cells with the aim of diversifying substitution patterns and accessing porphyrin systems not readily available through chemical synthesis. However, this approach failed to produce significant amounts of the metalloporphyrin in vivo from overproduced protoporphyrin due to insufficient metal insertion. Therefore, we systematically assessed the activity of the B. subtilis ferrochelatase in vivo and in vitro. A true high-throughput-screening approach based on catalytic in vivo ferrochelatase activity was developed by using fluorescence-activated cell sorting (FACS). This assay was used to screen a library of 2.4 x 10(6) ferrochelatase mutants expressed in protoporphyrin-overproducing recombinant E. coli cells. Several selected protein variants were purified, and their improved catalytic activity was confirmed in vitro. In addition to ferrochelatase activity, metal transport into E. coli was identified as another limitation for in vivo heme overproduction. Overexpression of the metal transporter zupT as part of the assembled pathway increased the overall metalloporphyrin production twofold. This report represents the most exhaustive in vitro evolution study of a ferrochelatase and demonstrates the effectiveness of our novel high-throughput-screening system for directed evolution of ferrochelatases based on their catalytic activity.

Directed Evolution of Human Estrogen Receptor Variants with Significantly Enhanced Androgen Specificity and Affinity

Human estrogen receptor alpha (hERalpha) and human androgen receptor exhibit exquisite ligand specificity, which underlies their remarkable ability to effect ligand-regulated gene transcription in a highly distinctive and specific manner. Here we used a directed evolution approach to create hERalpha variants with enhanced androgen specificity and affinity with the goal to better understand the molecular basis of ER ligand specificity and the evolutionary mechanism of nuclear receptors. We developed a sensitive yeast two-hybrid system to screen for hERalpha variants with increased transactivation potency toward testosterone. After two rounds of directed evolution, we identified five hERalpha variants with dramatically improved transactivation potency toward testosterone in both yeast and mammalian cells. These variants showed up to 7,600-fold improvement in the binding affinity for testosterone and only slightly reduced affinity toward 17beta-estradiol. Detailed analysis of these evolved variants and a few site-directed mutants generated de novo led to several unexpected findings including the following. 1) Only two beneficial mutations were needed to create hERalpha variants with near nanomolar affinity for testosterone. 2) Some beneficial mutations were synergistic, context-dependent, or non-additive. 3) Of the five identified beneficial mutations, four of them were not in the ER ligand binding pocket and yet exerted important action on ligand specificity. 4) The single ligand-contacting mutation E353Q plays a dominant role in discriminating androgens and estrogens. These results, viewed in conjunction with the ligand exploitation model of nuclear receptor evolution, suggest that the mutation E353Q may represent a key event in the evolution of androgen receptors from an ancestral estrogen receptor and that ligand promiscuity may play an important role in the creation of new nuclear receptors via divergent evolution.

Directed evolution of soluble single-chain human class II MHC molecules

Major histocompatibility complex (MHC) class II molecules are membrane-anchored heterodimers that present antigenic peptides to T cells. Expression of these molecules in soluble form has met limited success, presumably due to their large size, heterodimeric structure and the presence of multiple disulfide bonds. Here we have used directed evolution and yeast surface display to engineer soluble single-chain human lymphocyte antigen (HLA) class II MHC DR1 molecules without covalently attached peptides (scDR1alphabeta). Specifically, a library of mutant scDR1alphabeta molecules was generated by random mutagenesis and screened by fluorescence activated cell sorting (FACS) with DR-specific conformation-sensitive antibodies, yielding three well-expressed and properly folded scDR1alphabeta variants displayed on the yeast cell surface. Detailed analysis of these evolved variants and a few site-directed mutants generated de novo indicated three amino acid residues in the beta1 domain are important for the improved protein folding yield. Further, molecular modeling studies suggested these mutations might increase the protein folding efficiency by improving the packing of a hydrophobic core in the alpha1beta1 domain of DR1. The scDR1alphabeta mutants displayed on the yeast cell surface are remarkably stable and bind specifically to DR-specific peptide HA(306-318) with high sensitivity and rapid kinetics in flow cytometric assays. Moreover, since the expression, stability and peptide-binding properties of these mutants can be directly assayed on the yeast cell surface using immuno-fluorescence labeling and flow cytometry, time-consuming purification and refolding steps of recombinant DR1 molecules are eliminated. Therefore, these scDR1alphabeta molecules will provide a powerful technology platform for further design of DR1 molecules with improved peptide-binding specificity and affinity for therapeutic and diagnostic applications. The methods described here should be generally applicable to other class II MHC molecules and also class I MHC molecules for their functional expression, characterization and engineering.

Laboratory-evolved vanillyl-alcohol oxidase produces natural vanillin

The flavoenzyme vanillyl-alcohol oxidase was subjected to random mutagenesis to generate mutants with enhanced reactivity to creosol (2-methoxy-4-methylphenol). The vanillyl-alcohol oxidase-mediated conversion of creosol proceeds via a two-step process in which the initially formed vanillyl alcohol (4-hydroxy-3-methoxybenzyl alcohol) is oxidized to the widely used flavor compound vanillin (4-hydroxy-3-methoxybenzaldehyde). The first step of this reaction is extremely slow due to the formation of a covalent FAD N-5-creosol adduct. After a single round of error-prone PCR, seven mutants were generated with increased reactivity to creosol. The single-point mutants I238T, F454Y, E502G, and T505S showed an up to 40-fold increase in catalytic efficiency (kcat/Km) with creosol compared with the wild-type enzyme. This enhanced reactivity was due to a lower stability of the covalent flavin-substrate adduct, thereby promoting vanillin formation. The catalytic efficiencies of the mutants were also enhanced for other ortho-substituted 4-methylphenols, but not for p-cresol (4-methylphenol). The replaced amino acid residues are not located within a distance of direct interaction with the substrate, and the determined three-dimensional structures of the mutant enzymes are highly similar to that of the wild-type enzyme. These results clearly show the importance of remote residues, not readily predicted by rational design, for the substrate specificity of enzymes.

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

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.

Turnover-based in vitro selection and evolution of biocatalysts from a fully synthetic antibody library

This report describes the selection of highly efficient antibody catalysts by combining chemical selection from a synthetic library with directed in vitro protein evolution. Evolution started from a naive antibody library displayed on phage made from fully synthetic, antibody-encoding genes (the Human Combinatorial Antibody Library; HuCAL-scFv). HuCAL-scFv was screened by direct selection for catalytic antibodies exhibiting phosphatase turnover. The substrate used was an aryl phosphate, which is spontaneously transformed into an electrophilic trapping reagent after cleavage. Chemical selection identified an efficient biocatalyst that then served as a template for error-prone PCR (epPCR) to generate randomized repertoires that were subjected to further selection cycles. The resulting superior catalysts displayed cumulative mutations throughout the protein sequence; the ten-fold improvement of their catalytic proficiencies (>10(10) M(-1)) resulted from increased kcat values, thus demonstrating direct selection for turnover. The strategy described here makes the search for new catalysts independent of the immune system and the antibody framework.

A C35 carotenoid biosynthetic pathway

Upon coexpression with Erwinia geranylgeranyldiphosphate (GGDP) synthase in Escherichia coli, C(30) carotenoid synthase CrtM from Staphylococcus aureus produces novel carotenoids with the asymmetrical C(35) backbone. The products of condensation of farnesyldiphosphate and GDP, C(35) structures comprise 40 to 60% of total carotenoid accumulated. Carotene desaturases and carotene cyclases from C(40) or C(30) pathways accepted and converted the C(35) substrate, thus creating a C(35) carotenoid biosynthetic pathway in E. coli. Directed evolution to modulate desaturase step number, together with combinatorial expression of the desaturase variants with lycopene cyclases, allowed us to produce at least 10 compounds not previously described. This result highlights the plastic and expansible nature of carotenoid pathways and illustrates how combinatorial biosynthesis coupled with directed evolution can rapidly access diverse chemical structures.

Identifying residue-residue clashes in protein hybrids by using a second-order mean-field approach

In this article, a second-order mean-field-based approach is introduced for characterizing the complete set of residue-residue couplings consistent with a given protein structure. This information is subsequently used to classify protein hybrids with respect to their potential to be functional based on the presenceabsence and severity of clashing residue-residue interactions. First, atomistic representations of both the native and denatured states are used to calculate rotamer-backbone, rotamer-intrinsic, and rotamer-rotamer conformational energies. Next, this complete conformational energy table is coupled with a second-order mean-field description to elucidate the probabilities of all possible rotamer-rotamer combinations in a minimum Helmholtz free-energy ensemble. Computational results for the dihydrofolate reductase family reveal correlation in substitution patterns between not only contacting but also distal second-order structural elements. Residue-residue clashes in hybrid proteins are quantified by contrasting the ensemble probabilities of protein hybrids against the ones of the original parental sequences. Good agreement with experimental data is demonstrated by superimposing these clashes against the functional crossover profiles of bidirectional incremental truncation libraries for Escherichia coli and human glycinamide ribonucleotide transformylases.

Directed molecular evolution: bridging the gap between genomics leads and commercial products

Agricultural crops, engineered to express transgenic traits, have been rapidly adopted by farmers since the initial commercialization of this technology in 1996. However, despite nearly 20 years of research in agricultural biotechnology, only two product categories have achieved commercial success: plants containing transgenes conferring tolerance to herbicides and plants containing insecticidal protein genes derived from Bacillus thuringensis. A number of transgenic concepts, while exhibiting promising phenotypes in laboratory experiments, have failed to generate commercially viable crops. Many of the leads produced by modern integrative approaches to understanding plant biology will need further optimization to deliver economically viable crops. Directed molecular evolution represents a powerful technology to optimize newly discovered leads towards product objectives. In this review, we show by example how directed molecular evolution can be used to develop enabling technologies for plant biologists; how genes can be optimized to generate improved input traits such as those conferring insect tolerance, disease control and herbicide tolerance; and how plant quality can be altered to improve yield, produce novel industrial feedstocks and improve nutritional qualities.

Developments and trends in enzyme catalysis in nonconventional media

The conventional notion that enzymes are only active in aqueous media has long been discarded, thanks to the numerous studies documenting enzyme activities in nonaqueous media, including pure organic solvents and supercritical fluids. Enzymatic reactions in nonaqueous solvents offer new possibilities for producing useful chemicals (emulsifiers, surfactants, wax esters, chiral drug molecules, biopolymers, peptides and proteins, modified fats and oils, structured lipids and flavor esters). The use of enzymes in both macro- and microaqueous systems has been investigated especially intensively in the last two decades. Although enzymes exhibit considerable activity in nonaqueous media, the activity is low compared to that in water. This observation has led to numerous studies to modify enzymes for specific purposes by various means including protein engineering. This review covers the historical developments, major technological advances and recent trends of enzyme catalysis in nonconventional media. A brief description of different classes of enzymes and their use in industry is provided with representative examples. Recent trends including use of novel solvent systems, role of water activity, stability issues, medium and biocatalyst engineering aspects have been discussed with examples. Special attention is given to protein engineering and directed evolution.

Design, activity, and structure of a highly specific artificial endonuclease

We have generated an artificial highly specific endonuclease by fusing domains of homing endonucleases I-DmoI and I-CreI and creating a new 1400 A(2) protein interface between these domains. Protein engineering was accomplished by combining computational redesign and an in vivo protein-folding screen. The resulting enzyme, E-DreI (Engineered I-DmoI/I-CreI), binds a long chimeric DNA target site with nanomolar affinity, cleaving it precisely at a rate equivalent to its natural parents. The structure of an E-DreI/DNA complex demonstrates the accuracy of the protein interface redesign algorithm and reveals how catalytic function is maintained during the creation of the new endonuclease. These results indicate that it may be possible to generate novel highly specific DNA binding proteins from homing endonucleases.

Optimizing lipases and related enzymes for efficient application

Although numerous reactions have been performed using lipases and related enzymes (e.g. esterases and phospholipases), it is still a challenge to identify the most suitable biocatalyst and best reaction conditions for an efficient application. Frequently used methods such as immobilization and optimization of the reaction medium cannot be transferred from one reaction system or substrate to another. However, in the past few years, rational protein design and directed evolution have emerged as efficient alternative methods to optimize biocatalytic reactions.