Directed Evolution Strategy Research Articles

Design of an ectoine-responsive AraC mutant and its application in metabolic engineering of ectoine biosynthesis

Advanced high-throughput screening methods for small molecules may have important applications in the metabolic engineering of the biosynthetic pathways of these molecules. Ectoine is an excellent osmoprotectant that has been widely used in cosmetics. In this study, the Escherichia coli regulatory protein AraC was engineered to recognize ectoine as its non-natural effector and to activate transcription upon ectoine binding. As an endogenous reporter of ectoine, the mutated AraC protein was successfully incorporated into high-throughput screening of ectoine hyper-producing strains. The ectoine biosynthetic cluster from Halomonas elongata was cloned into E. coli. By engineering the rate-limiting enzyme l-2,4-diaminobutyric acid (DABA) aminotransferase (EctB), ectoine production and the specific activity of the EctB mutant were increased. Thus, these results demonstrated the effectiveness of engineering regulatory proteins into sensitive and rapid screening tools for small molecules and highlighted the importance and efficacy of directed evolution strategies applied to the engineering of genetic components for yield improvement in the biosynthesis of small molecules.

Genetically assembled fluorescent biosensor for in situ detection of bio-synthesized alkanes.

Construction of highly efficient microbial cell factories producing drop-in biofuel alkanes is severely limited due to the lack of a fast detection method against alkanes. Here we first developed a sensitive fluorescent biosensor for rapid and in situ monitoring of intracellular alkane synthesis. Using GFP as reporter, the biosensor could actively respond to the intracellular alkane products, especially for the mid- and long-chain alkanes synthesized in the recombinant Escherichia coli and give a concentration-dependent fluorescence response. Our results also suggested the feasibility of developing high-throughput strategies basing on the alkane biosensor device in E. coli, and thus will greatly facilitate the application of directed evolution strategies to further improve the alkane-producing microbial cell factories.

Design and Application of a Novel High-throughput Screening Technique for 1-Deoxynojirimycin

High-throughput screening techniques for small molecules can find intensive applications in the studies of biosynthesis of these molecules. A sensitive, rapid and cost-effective technique that allows high-throughput screening of endogenous production of the natural iminosugar 1-deoxynojirimycin (1-DNJ), an α-glucosidase inhibitor relevant to the pharmaceutical industry, was developed in this study, based on the inhibitory effects of 1-DNJ on the activity of the β-glycosidase LacS from Sulfolobus solfataricus. This technique has been demonstrated effective in engineering both the key enzyme and the expression levels of enzymes in the 1-DNJ biosynthetic pathway from Bacillus atrophaeus cloned in E. coli. Higher biosynthetic efficiency was achieved using directed evolution strategies.

An Autonomous In Vivo Dual Selection Protocol for Boolean Genetic Circuits

Success in synthetic biology depends on the efficient construction of robust genetic circuitry. However, even the direct engineering of the simplest genetic elements (switches, logic gates) is a challenge and involves intense lab work. As the complexity of biological circuits grows, it becomes more complicated and less fruitful to rely on the rational design paradigm, because it demands many time-consuming trial-and-error cycles. One of the reasons is the context-dependent behavior of small assembly parts (like BioBricks), which in a complex environment often interact in an unpredictable way. Therefore, the idea of evolutionary engineering (artificial directed in vivo evolution) based on screening and selection of randomized combinatorial genetic circuit libraries became popular. In this article we build on the so-called dual selection technique. We propose a plasmid-based framework using toxin-antitoxin pairs together with the relaxase conjugative protein, enabling an efficient autonomous in vivo evolutionary selection of simple Boolean circuits in bacteria (E. coli was chosen for demonstration). Unlike previously reported protocols, both on and off selection steps can run simultaneously in various cells in the same environment without human intervention; and good circuits not only survive the selection process but are also horizontally transferred by conjugation to the neighbor cells to accelerate the convergence rate of the selection process. Our directed evolution strategy combines a new dual selection method with fluorescence-based screening to increase the robustness of the technique against mutations. As there are more orthogonal toxin-antitoxin pairs in E. coli, the approach is likely to be scalable to more complex functions. In silico experiments based on empirical data confirm the high search and selection capability of the protocol.

Improving olefin tolerance and production in E. coli using native and evolved AcrB.

Microorganisms can be engineered for the production of chemicals utilized in the polymer industry. However many such target compounds inhibit microbial growth and might correspondingly limit production levels. Here, we focus on compounds that are precursors to bioplastics, specifically styrene and representative alpha-olefins; 1-hexene, 1-octene, and 1-nonene. We evaluated the role of the Escherichia coli efflux pump, AcrAB-TolC, in enhancing tolerance towards these olefin compounds. AcrAB-TolC is involved in the tolerance towards all four compounds in E. coli. Both styrene and 1-hexene are highly toxic to E. coli. Styrene is a model plastics precursor with an established route for production in E. coli (McKenna and Nielsen, 2011). Though our data indicates that AcrAB-TolC is important for its optimal production, we observed a strong negative selection against the production of styrene in E. coli. Thus we used 1-hexene as a model compound to implement a directed evolution strategy to further improve the tolerance phenotype towards this alpha-olefin. We focused on optimization of AcrB, the inner membrane domain known to be responsible for substrate binding, and found several mutations (A279T, Q584R, F617L, L822P, F927S, and F1033Y) that resulted in improved tolerance. Several of these mutations could also be combined in a synergistic manner. Our study shows efflux pumps to be an important mechanism in host engineering for olefins, and one that can be further improved using strategies such as directed evolution, to increase tolerance and potentially production. Biotechnol. Bioeng. 2015;112: 879–888. © 2015 The Authors. Biotechnology and Bioengineering Published by John Wiley & Periodicals, Inc.

Repurposing a Bacterial Quality Control Mechanism to Enhance Enzyme Production in Living Cells

Heterologous expression of many proteins in bacteria, yeasts, and plants is often limited by low titers of functional protein. To address this problem, we have created a two-tiered directed evolution strategy in Escherichia coli that enables optimization of protein production while maintaining high biological activity. The first tier involves a genetic selection for intracellular protein stability that is based on the folding quality control mechanism inherent to the twin-arginine translocation pathway, while the second is a semi-high-throughput screen for protein function. To demonstrate the utility of this strategy, we isolated variants of the endoglucanase Cel5A, from the plant-pathogenic fungus Fusarium graminearum, whose production was increased by as much as 30-fold over the parental enzyme. This gain in production was attributed to just two amino acid substitutions, and it was isolated after two iterations through the two-tiered approach. There was no significant tradeoff in activity on soluble or insoluble cellulose substrates. Importantly, by combining the folding filter afforded by the twin-arginine translocation quality control mechanism with a function-based screen, we show enrichment for variants with increased protein abundance in a manner that does not compromise catalytic activity, providing a highly soluble parent for engineering of improved or new function.

DC-Analyzer-facilitated combinatorial strategy for rapid directed evolution of functional enzymes with multiple mutagenesis sites

Iterative saturation mutagenesis (ISM) has been shown to be a powerful method for directed evolution. In this study, the approach was modified (termed M-ISM) by combining the single-site saturation mutagenesis method with a DC-Analyzer-facilitated combinatorial strategy, aiming to evolve novel biocatalysts efficiently in the case where multiple sites are targeted simultaneously. Initially, all target sites were explored individually by constructing single-site saturation mutagenesis libraries. Next, the top two to four variants in each library were selected and combined using the DC-Analyzer-facilitated combinatorial strategy. In addition to site-saturation mutagenesis, iterative saturation mutagenesis also needed to be performed. The advantages of M-ISM over ISM were that the screening effort is greatly reduced, and the entire M-ISM procedure was less time-consuming. The M-ISM strategy was successfully applied to the randomization of halohydrin dehalogenase from Agrobacterium radiobacter AD1 (HheC) when five interesting sites were targeted simultaneously. After screening 900 clones in total, six positive mutants were obtained. These mutants exhibited 4.0- to 9.3-fold higher kcat values than did the wild-type HheC toward 1,3-dichloro-2-propanol. However, with the ISM strategy, the best hit showed a 5.9-fold higher kcat value toward 1,3-DCP than the wild-type HheC, which was obtained after screening 4000 clones from four rounds of mutagenesis. Therefore, M-ISM could serve as a simple and efficient version of ISM for the randomization of target genes with multiple positions of interest.

Combining random gene fission and rational gene fusion to discover near-infrared fluorescent protein fragments that report on protein-protein interactions.

Gene fission can convert monomeric proteins into two-piece catalysts, reporters, and transcription factors for systems and synthetic biology. However, some proteins can be challenging to fragment without disrupting function, such as near-infrared fluorescent protein (IFP). We describe a directed evolution strategy that can overcome this challenge by randomly fragmenting proteins and concomitantly fusing the protein fragments to pairs of proteins or peptides that associate. We used this method to create libraries that express fragmented IFP as fusions to a pair of associating peptides (IAAL-E3 and IAAL-K3) and proteins (CheA and CheY) and screened for fragmented IFP with detectable near-infrared fluorescence. Thirteen novel fragmented IFPs were identified, all of which arose from backbone fission proximal to the interdomain linker. Either the IAAL-E3 and IAAL-K3 peptides or CheA and CheY proteins could assist with IFP fragment complementation, although the IAAL-E3 and IAAL-K3 peptides consistently yielded higher fluorescence. These results demonstrate how random gene fission can be coupled to rational gene fusion to create libraries enriched in fragmented proteins with AND gate logic that is dependent upon a protein–protein interaction, and they suggest that these near-infrared fluorescent protein fragments will be suitable as reporters for pairs of promoters and protein–protein interactions within whole animals.

Concommitant adaptation of a GH11 xylanase by directed evolution to create an alkali-tolerant/thermophilic enzyme.

As part of an ongoing directed evolution program, the catalytic performance of the Xylanase A from Bacillus subtilis (XynA), which presents temperature and pH optima of 50°C and 6.0, respectively, has been enhanced to create a highly thermostable and alkali-tolerant enzyme. A library of random XynA mutants generated by error-prone polymerase chain reaction was screened by halo formation on agar containing xylan at pH 8.0. Two mutants showing higher catalytic activity at elevated pH in relation to the wild-type XynA were selected, and pooled with a further 5 XynA variants selected by screening thermostable XynA obtained from a previous directed evolution study for activity at alkaline pH. This pool of variants was used as a template for a further round of error-prone polymerase chain reaction and DNase fragment shuffling, with screening at pH 12.0 at 55°C. Selected mutants were subjected to further DNase shuffling, and a final round of screening at pH 12.0 and 80°C. A XynA variant containing eight mutations was isolated (Q7H/G13R/S22P/S31Y/T44A/I51V/I107L/S179C) that presented a temperature optimum of 80°C, a 3-fold increase in the specific activity compared with the wild-type enzyme at pH 8.0, and a 50% loss of activity (t50) of 60 min at 80°C (wild type <2 min). This directed evolution strategy therefore allows the concomitant adaption of increased thermostability and alkali tolerance of an endo-xylanase.

Engineering cellulosic bioreactors by template assisted DNA shuffling and in vitro recombination (TADSir)

The current study focuses on development of a bioreactor engineering strategy based on exploitation of the Arabidopsis thaliana genome. Chimeric A. thaliana glycosyl hydrolase (GH) gene libraries were assembled using a novel directed evolution strategy (TADSir: template assisted DNA shuffling and in vitro recombination) that promotes DNA recombination by reassembly of DNA fragments on unique gene templates. TADSir was modeled using a set of algorithms designed to simulate DNA interactions based on nearest neighbor base stacking interactions and Gibb’s free energy differences between helical coil and folded DNA states. The algorithms allow for target gene prediction and for in silica analysis of chimeric gene library composition. Further, the study investigated utilization of A. thaliana GH sequence space for bioreactor design by evolving 20 A. thaliana genes representing the GH1, GH3, GH5, GH9 and GH10 gene families. Notably, TADSir achieved streamlined engineering of Saccharomyces cerevisiae and spinach mesophyll protoplast bioreactors capable of processing CM cellulose, Avicel and xylan.

Compartmentalized Self-Tagging for In Vitro-Directed Evolution of XNA Polymerases.

Template-dependent synthesis of xenobiotic nucleic acids (XNAs) is an essential step for the development of functional XNA molecules, as it enables Darwinian evolution to be carried out with novel genetic polymers. The extraordinary substrate specificity of natural DNA polymerases greatly restricts the spectrum of XNAs available, thus making it necessary to identify DNA polymerase variants capable of incorporating a wider range of substrates. This unit summarizes compartmentalized self-tagging (CST), a directed evolution strategy developed for the selection of DNA polymerase variants capable of XNA synthesis.

Monoamine Oxidase a and B Substrates: Probing the Pathway for Drug Development

Drug-discovery and -development efforts focused on the MAOs have increased at an accelerated rate over the past decade. Since the first crystal structure of human MAO-B was solved in 2002, over 40 additional structures have been reported and have helped define new, or confirm speculative, binding modes of inhibitors. The detailed mechanism of the MAO-catalyzed oxidation of amine substrates has not been fully elucidated, but its significance is central in the development of new mechanism-based inactivators. Novel fungal MAO-N variants derived from directed evolution strategies are enabling the production of new chiral amine products. Robust assays have been established for measuring MAO status in tissue and cells, while improved MAO radioligands are being deployed for PET imaging studies. This review will attempt to highlight the more recent and salient aspects of MAO research in drug discovery and development, with emphasis on substrates 'probing the pathway'.

Error-prone PCR and effective generation of gene variant libraries for directed evolution.

Any single-enzyme directed evolution strategy has two fundamental requirements: the need to efficiently introduce variation into a gene of interest and the need to create an effective library from those variants. Generation of a maximally diverse gene library is particularly important when employing nontargeted mutagenesis strategies such as error-prone PCR (epPCR), which seek to explore very large areas of sequence space. Here we present comprehensive protocols and tips for using epPCR to generate gene variants that exhibit a relatively balanced spectrum of mutations and for capturing as much diversity as possible through effective cloning of those variants. The detailed library preparation methods that we describe are generally applicable to any directed evolution strategy that uses restriction enzymes to clone gene variants into an expression plasmid.

Development of a Red Genetically-Encoded Voltage Indicator and its use with Channelrhodopsin for All-Optical Electrophysiology

The need for effective genetically-encoded voltage indicators is widely recognized. Several prototypes have been made to date by fusing one or more fluorescent proteins to a voltage sensitive membrane protein (1). However, one factor that has limited the utility of these indicators is poor voltage sensitivity, making it a challenge to express the indicators in neurons and still observe detectable responses (2). In addition, none of the genetically-encoded voltage indicators reported can be combined with channelrhodopsin for optical readout of electrical activity in an all-optical electrophysiology setup. To address these limitations, we set up a directed evolution strategy to screen for both voltage indicator brightness and voltage sensitivity. First, bacterial expression enables us to screen thousands of clones in colonies of E. coli to improve the brightness of the indicator. Second, a medium throughput mammalian electric field stimulation system allows us to test for function of the voltage indicators. This screening has resulted in a family of red voltage indicators (VSDRs). They consist of the voltage-sensing domain of Ciona intestinalis voltage-sensitive phosphatase linked to red fluorescent protein mApple. The fluorescence intensity of the VSDRs increases in response to depolarization. We show that the combination of signal size and response speed of VSDRs allows the reliable detection of spontaneous action potentials in cultured mammalian neurons in single trials with widefield fluorescent light microscopy. Critically, we also demonstrate that VSDRs faithfully reports signals from all-optical electrophysiology experiments using channelrhodopsin to depolarize mammalian cells.1. B. J. Baker et al., J. Neurosci. Methods. 2007, 161, 32-38.2. W. Akemann et al., Nat Methods. 7, 2010, 643-649.

The Mutagenesis Assistant Program.

Mutagenesis Assistant Program (MAP) is a web-based statistical tool to develop directed evolution strategies by investigating the consequences at the amino acid level of the mutational biases of random mutagenesis methods on any given gene. The latest development of the program, the MAP(2.0)3D server, correlates the generated amino acid substitution patterns of a specific random mutagenesis method to the sequence and structural information of the target protein. The combined information can be used to select an experimental strategy that improves the chances of obtaining functionally efficient and/or stable enzyme variants. Hence, the MAP(2.0)3D server facilitates the "in silico" prescreening of the target gene by predicting the amino acid diversity generated in a random mutagenesis library. Here, we describe the features of MAP(2.0)3D server by analyzing, as an example, the cytochrome P450BM3 monooxygenase (CYP102A1). The MAP(2.0)3D server is available publicly at http://map.jacobs-university.de/map3d.html.

Directed evolution of lectins by an improved error-prone PCR and ribosome display method.

Lectins are useful reagents for the structural characterization of glycans. However, currently available lectins have an apparent drawback in their "repertoire," lacking some critical probes, such as those for sulfated glycans. Thus, engineering lectins with novel specificity would be of great practical value. Here, we describe a directed evolution strategy to tailor novel lectins for novel specificity or biological functions. Our strategy uses a reinforced ribosome display-based selection combined with error-prone PCR to isolate mutants with target specificity and an evanescent-field fluorescence-assisted glycoconjugate microarray to rapidly evaluate the specificity of selected mutants. A successful case of screening a lectin, which has acquired an ability to recognize 6-sulfo-galactose-terminated glycans, is described.

Molecular Engineering of Fungal GH5 and GH26 Beta-(1,4)-Mannanases toward Improvement of Enzyme Activity

Microbial mannanases are biotechnologically important enzymes since they target the hydrolysis of hemicellulosic polysaccharides of softwood biomass into simple molecules like manno-oligosaccharides and mannose. In this study, we have implemented a strategy of molecular engineering in the yeast Yarrowia lipolytica to improve the specific activity of two fungal endo-mannanases, PaMan5A and PaMan26A, which belong to the glycoside hydrolase (GH) families GH5 and GH26, respectively. Following random mutagenesis and two steps of high-throughput enzymatic screening, we identified several PaMan5A and PaMan26A mutants that displayed improved kinetic constants for the hydrolysis of galactomannan. Examination of the three-dimensional structures of PaMan5A and PaMan26A revealed which of the mutated residues are potentially important for enzyme function. Among them, the PaMan5A-G311S single mutant, which displayed an impressive 8.2-fold increase in kcat/KM due to a significant decrease of KM, is located within the core of the enzyme. The PaMan5A-K139R/Y223H double mutant revealed modification of hydrolysis products probably in relation to an amino-acid substitution located nearby one of the positive subsites. The PaMan26A-P140L/D416G double mutant yielded a 30% increase in kcat/KM compared to the parental enzyme. It displayed a mutation in the linker region (P140L) that may confer more flexibility to the linker and another mutation (D416G) located at the entrance of the catalytic cleft that may promote the entrance of the substrate into the active site. Taken together, these results show that the directed evolution strategy implemented in this study was very pertinent since a straightforward round of random mutagenesis yielded significantly improved variants, in terms of catalytic efiiciency (kcat/KM).

Enhancing Tolerance to Short-Chain Alcohols by Engineering the Escherichia coli AcrB Efflux Pump to Secrete the Non-native Substrate n-Butanol

The microbial conversion of sugars to fuels is a promising technology, but the byproducts of biomass pretreatment processes and the fuels themselves are often toxic at industrially relevant levels. One promising solution to these problems is to engineer efflux pumps to secrete fuels and inhibitory chemicals from the cell, increasing microbial tolerance and enabling higher fuel titer. Toward that end, we used a directed evolution strategy to generate variants of the Escherichia coli AcrB efflux pump that act on the non-native substrate n-butanol, enhancing growth rates of E. coli in the presence of this biofuel by up to 25%. Furthermore, these variants confer improved tolerance to isobutanol and straight-chain alcohols up to n-heptanol. Single amino acid changes in AcrB responsible for this phenotype were identified. We have also shown that both the chemical and genetic inactivation of pump activity eliminate the tolerance conferred by AcrB pump variants, supporting our assertion that the variants secrete the non-native substrates. This strategy can be applied to create an array of efflux pumps that modulate the intracellular concentrations of small molecules of interest to microbial fuel and chemical production.

Directed Evolution of a Virus Exclusively Utilizing Human Epidermal Growth Factor Receptor as the Entry Receptor

Rational design and directed evolution are powerful tools to generate and improve protein function; however, their uses are mostly limited to enzyme and antibody engineering. Here we describe a directed-evolution strategy, named the tandem selection and enrichment system (TSES), and its use in generating virus with exclusive specificity for a particular cellular receptor. In TSES, evolving viruses are sequentially and iteratively transferred between two different host cells, one for selection of receptor specificity and the other for enrichment of the fittest virus. By combining rational design and TSES, we generated human epidermal growth factor receptor (EGFR)-specific virus 1 (ESV1). ESV1 has the backbone of Sindbis virus (SINV) and displays an EGF domain engrafted onto structural protein E2 after residue Pro192, together with eight amino acid changes stabilizing the E2-EGF chimera. ESV1 uses EGFR to initiate infection and has lost the capacity to interact with all known SINV receptors. A 12.2-Å cryoelectron microscopic (cryoEM) reconstruction of ESV1 reveals that the E2-EGF fusion adopts a fixed conformation, with EGF sitting at the top of the E2 spike; The EGFR binding interface faces outward, and the EGF domain completely masks SINV receptor binding. The cryoEM structure of ESV1 explains the desirable properties of ESV1 and provides insights for its further modification. TSES expands the scope of directed evolution and can be easily extended to other targeting molecules and viral systems.

The evolutionary paths towards complexity: a metabolic perspective

As sessile organisms, land plants have exploited their metabolic systems to produce a panoply of structurally and functionally diverse natural chemicals and polymers to adapt to challenging ecosystems. Many of these core and specialized metabolites confer chemical shields against a multitude of abiotic stresses, while others play important roles in plants' interactions with their biotic environments. Plant specialized metabolites can be viewed as complex traits in the sense that the biosynthesis of these molecules typically requires multistep metabolic pathways comprising numerous specific enzymes belonging to diverse protein fold families. Resolving the evolutionary trajectories underlying the emergence of these specialized metabolic pathways will impact a fundamental question in biology – how do complex traits evolve in a Darwinian fashion? Here, I discuss several general patterns observed in rapidly evolving specialized metabolic systems in plants, and surmise mechanistic features at enzyme, pathway and organismal levels that rationalize the remarkable malleability of these systems through stepwise evolution. Future studies, focused on fine sampling of metabolic enzymes and pathways in phylogenetically related plant species, or employing directed evolution strategies in synthetic systems, will significantly broaden our perspective on how biological complexity arises at the metabolic level.