Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “DNA Shuffling”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 37 records · Page 2Linked to original sources

DNA shuffling method for generating estrogen receptor alpha and beta chimeras in yeast.

To facilitate our study of the molecular basis for the estrogen receptor (ER) subtype selectivity of novel ligands, we used DNA shuffling to construct chimeric ERs having ligand binding domains derived from both ER alpha and ER beta. The efficiency of chimera generation was low with traditional DNA shuffling protocols. Furthermore, ER ligand binding domain sequences lack convenient restriction sites for introducing chimeric ligand binding domain sequences into expression vectors. To overcome these problems, we developed a modified strategy whereby chimeric sequences were exclusively amplified from among the reassembled products from DNA shuffling using a special pair of PCR primers whose 3' ends specifically match the alpha and beta sequences, respectively, and whose 5' ends match sequences outside the ER beta ligand binding domain. When chimeric ligand binding domain DNA sequences, amplified with these primers, were co-transformed into a yeast strain with a linearized expression vector for ER beta, an active expression vector was produced by homologous recombination. Twenty-two different crossover sites were found; most occurred when there was a stretch of eight or more identical base pairs in both sequences, and many were concentrated in the regions important for studying ligand binding and transactivation. This method should prove to be useful for generating chimeric gene products from parent templates that share relatively low sequence identity.

Amino Acid Sequence↗

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

Protein engineers use a variety of mutagenic strategies to adapt enzymes to novel substrates. Directed evolution techniques (random mutagenesis and high-throughput screening) offer a systematic approach to the management of protein complexity. This sub-discipline was galvanized by the invention of DNA shuffling, a procedure that randomly recombines point mutations in vitro. In one influential study, Escherichia coli beta-galactosidase (BGAL) variants with enhanced beta-fucosidase activity (tenfold increase in k(cat)/K(M) in reactions with the novel para-nitrophenyl-beta-d-fucopyranoside substrate; 39-fold decrease in reactivity with the "native"para-nitrophenyl-beta-d-galactopyranoside substrate) were evolved in seven rounds of DNA shuffling and screening. Here, we show that a single round of site-saturation mutagenesis and screening enabled the identification of beta-fucosidases that are significantly more active (180-fold increase in k(cat)/K(M) in reactions with the novel substrate) and specific (700,000-fold inversion of specificity) than the best variants in the previous study. Site-saturation mutagenesis thus proved faster, less resource-intensive and more effective than DNA shuffling for this particular evolutionary pathway.

Base Sequence↗

Predicting out-of-sequence reassembly in DNA shuffling.

We present an analysis for calculating the frequency of out-of-sequence reassembly in DNA shuffling experiments. Out-of-sequence annealing events are undesirable since they typically encode non-functional proteins with missing or repetitive regions. The approach builds on the e Shuffle framework for the prediction of crossover formation using equilibrium thermodynamics and complete sequence information to model the reassembly process. An in silico case study of a set of subtilases reveals that, as expected, the presence of significant sequence identity between distant portions of the parental sequences gives rise to out-of-sequence annealing events that upon reassembly generate sequences with missing or repetitive DNA segments. The frequency of these events increases as the fragment length decreases. Interestingly, out-of-sequence annealing events are at a minimum near the annealing temperature of 55 degrees C used in the original DNA shuffling protocol. Neither parental sequence identity nor number of shuffled parents significantly alter the extent of out-of-sequence reassembly

Amino Acid Motifs↗

Molecular evolution of an arsenate detoxification pathway by DNA shuffling.

Functional evolution of an arsenic resistance operon has been accomplished by DNA shuffling, involving multiple rounds of in vitro recombination and mutation of a pool of related sequences, followed by selection for increased resistance in vivo. Homologous recombination is achieved by random fragmentation of the PCR templates and reassembly by primerless PCR. Plasmid-determined arsenate resistance from plasmid pl258 encoded by genes arsR, arsB, and arsC was evolved in Escherichia coli. Three rounds of shuffling and selection resulted in cells that grew in up to 0.5 M arsenate, a 40-fold increase in resistance. Whereas the native plasmid remained episomal, the evolved operon reproducibly integrated into the bacterial chromosome. In the absence of shuffling, no increase in resistance was observed after four selection cycles, and the control plasmid remained episomal. The integrated ars operon had 13 mutations. Ten mutations were located in arsB, encoding the arsenite membrane pump, resulting in a fourfold to sixfold increase in arsenite resistance. While arsC, the arsenate reductase gene, contained no mutations, its expression level was increased, and the rate of arsenate reduction was increased 12-fold. These results show that DNA shuffling can improve the function of pathways by complex and unexpected mutational mechanisms that may be activated by point mutation. These mechanisms may be difficult to explain and are likely to be overlooked by rational design.

Adenosine Triphosphatases↗

Predicting crossover generation in DNA shuffling.

We introduce a quantitative framework for assessing the generation of crossovers in DNA shuffling experiments. The approach uses free energy calculations and complete sequence information to model the annealing process. Statistics obtained for the annealing events then are combined with a reassembly algorithm to infer crossover allocation in the reassembled sequences. The fraction of reassembled sequences containing zero, one, two, or more crossovers and the probability that a given nucleotide position in a reassembled sequence is the site of a crossover event are estimated. Comparisons of the predictions against experimental data for five example systems demonstrate good agreement despite the fact that no adjustable parameters are used. An in silico case study of a set of 12 subtilases examines the effect of fragmentation length, annealing temperature, sequence identity and number of shuffled sequences on the number, type, and distribution of crossovers. A computational verification of crossover aggregation in regions of near-perfect sequence identity and the presence of synergistic reassembly in family DNA shuffling is obtained.

Algorithms↗

Optimization of DNA shuffling for high fidelity recombination.

A convenient 'DNA shuffling' protocol for random recombination of homologous genes in vitro with a very low rate of associated point mutagenesis (0.05%) is described. In addition, the mutagenesis rate can be controlled over a wide range by the inclusion of Mn2+or Mg2+during DNase I digestion, by choice of DNA polymerase used during gene reassembly as well as how the genes are prepared for shuffling (PCR amplification versus restriction enzyme digestion of plasmid DNA). These protocols should be useful for in vitro protein evolution, for DNA based computing and for structure-function studies of evolutionarily related genes.

Biological Evolution↗

Directed evolution of extradiol dioxygenase by a novel in vivo DNA shuffling.

RecA-dependent homologous recombination in Escherichia coli is a very effective way to construct chimeras between two homologous genes. The disadvantage of in vivo method is a small library size of chimeric genes in comparison with in vitro DNA shuffling. In order to overcome the disadvantage, we have developed novel in vivo DNA shuffling methods with successive homologous recombinations. Linearized DNA molecules with two homologous genes were made with ligation rather than the conventional restriction enzyme cleavage between two genes. The three-way ligation of a vector and two homologous bphC genes encoding 2,3-dihydroxybiphenyl 1,2-dioxygenases or the two-way ligation of the donor bphC gene and an acceptor plasmid carrying the homologous bphC gene generated a variety of linearized DNA molecules. The homologous recombination between the genes on the linearized DNA molecules created the large chimeric bphC gene libraries in a recBC sbcA E. coli strain. After three rounds of recombinations, chimeric bphC genes with four-part gene fragments by triple-crossover were easily obtained. By employing a 96-well microtiter plate high-throughput screening, thermally stable chimeric 2,3-dihydroxybiphenyl 1,2-dioxygenases were selected from chimeric bphC gene libraries. This opens up a new way for directed evolution of proteins in vivo.

DNA Shuffling↗

Functional analysis of the plant disease resistance gene Pto using DNA shuffling.

Pto is a serine/threonine kinase that mediates resistance in tomato to strains of Pseudomonas syringae pv. tomato expressing the (a)virulence proteins AvrPto or AvrPtoB. DNA shuffling was used as a combinatorial in vitro genetic approach to dissect the functional regions of Pto. The Pto gene was shuffled with four of its paralogs from a resistant haplotype to create a library of recombinant products that was screened for interaction with AvrPto in yeast. All interacting clones and a representative sample of noninteracting clones were sequenced, and their ability to signal downstream was tested by the elicitation of a hypersensitive response in an AvrPto-dependent or -independent manner in planta. Eight candidate regions important for binding to AvrPto or for downstream signaling were identified by statistical correlations between individual amino acid positions and phenotype. A subset of the regions had previously been identified as important for recognition, confirming the validity of the shuffling approach. Three novel regions important for Pto function were validated by site-directed mutagenesis. Several chimeras and point mutants exhibited a differential interaction with (a)virulence proteins in the AvrPto and VirPphA family, demonstrating distinct binding requirements for different ligands. Additionally, the identification of chimeras that are both constitutively active as well as capable of binding AvrPto indicates that elicitation of downstream signaling does not involve a conformational change that precludes binding of AvrPto, as previously hypothesized. The correlations between phenotypes and variation generated by DNA shuffling paralleled natural variation observed between orthologs of Pto from Lycopersicon spp.

Blotting, Western↗

Evolution of a cytokine using DNA family shuffling.

DNA shuffling of a family of over 20 human interferon-alpha (Hu-IFN-alpha) genes was used to derive variants with increased antiviral and antiproliferation activities in murine cells. A clone with 135,000-fold improved specific activity over Hu-IFN-alpha2a was obtained in the first cycle of shuffling. After a second cycle of selective shuffling, the most active clone was improved 285,000-fold relative to Hu-IFN-alpha2a and 185-fold relative to Hu-IFN-alpha1. Remarkably, the three most active clones were more active than the native murine IFN-alphas. These chimeras are derived from up to five parental genes but contained no random point mutations. These results demonstrate that diverse cytokine gene families can be used as starting material to rapidly evolve cytokines that are more active, or have superior selectivity profiles, than native cytokine genes.

Amino Acid Sequence↗

DNA shuffling and screening strategies for improving vaccine efficacy.

The efficacy of vaccines can be improved by increasing their immunogenicity, broadening their crossprotective range, as well as by developing immunomodulators that can be coadministered with the vaccine antigen. One technology that can be applied to each of these aspects of vaccine development is MolecularBreeding directed molecular evolution. Essentially, this technology is used to evolve genes in vitro through an iterative process consisting of recombinant generation followed by selection of the desired recombinants. We have used DNA shuffling and screening strategies to develop and improve vaccine candidates against several infectious pathogens including Plasmodium falciparum (a common cause of severe and fatal human malaria), dengue virus, encephalitic alphaviruses such as Venezuelan, western and eastern equine encephalitis viruses (VEEV, WEEV, and EEEV, respectively), human immunodeficiency virus-1 (HIV-1), and hepatitis B virus (HBV). By recombining antigen-encoding genes from different serovar isolates, new chimeras are selected for crossreactivity; these vaccine candidates are expected to provide broader crossprotection than vaccines based on a single serovar. Furthermore, the vaccine candidates can be selected for improved immunogenicity, which would also improve their efficacy. In addition to vaccine candidates, we have applied the technology to evolve several immunomodulators that when coadministered with vaccines can improve vaccine efficacy by fine-tuning the T cell response. Thus, DNA shuffling and screening technology is a promising strategy to facilitate vaccine efficacy.

Antigens↗

Development of metagenomic DNA shuffling for the construction of a xenobiotic gene.

We describe a metagenomic DNA shuffling process by combining protein engineering process mutation generator and the high potential diversity of metagenomic DNA derived from the environment. Numerous previous shuffling processes attempted to recombine more or less related parental sequences. At the same time, metagenomic approaches unveiled a huge diversity of DNA sequences and genomes, which have not yet been identified to date. In this study, we attempted to combine these two approaches in order to regenerate a novel gene. Here, we present the possibility that DNA fragments from an entire microbial community (metagenome) might be available for the creation of novel genes capable of degrading pollutants. Metagenomic DNA extracted from non-polluted soil was shuffled in vitro to recreate the linA gene responsible for the first steps of lindane degradation. In this work, 74% of the ORF came from separate subsets of the metagenomic pool from a lindane-free and linA-free soil. Our results demonstrate that microbial community genetic diversity can serve as a source for novel gene construction during in vitro manipulation. This in vitro gene construction might also simulate the mosaic nature of novel genes. This demonstration might lead to other attempts to mimic bacterial adaptation and to construct degradative genes for novel compounds not yet released into the environment.

Bacteria↗

Breeding of retroviruses by DNA shuffling for improved stability and processing yields.

Manufacturing of retroviral vectors for gene therapy is complicated by the sensitivity of these viruses to stress forces during purification and concentration. To isolate viruses that are resistant to these manufacturing processes, we performed breeding of six ecotropic murine leukemia virus (MLV) strains by DNA shuffling. The envelope regions were shuffled to generate a recombinant library of 5 x 106 replication-competent retroviruses. This library was subjected to the concentration process three consecutive times, with amplification of the surviving viruses after each cycle. Several viral clones with greatly improved stabilities were isolated, with the best clone exhibiting no loss in titer under conditions that reduced the titers of the parental viruses by 30- to 100-fold. The envelopes of these resistant viruses differed in DNA and protein sequence, and all were complex chimeras derived from multiple parents. These studies demonstrate the utility of DNA shuffling in breeding viral strains with improved characteristics for gene therapy.

Animals↗

Improvement of the movement and host range properties of a plant virus vector through DNA shuffling.

Virus expression vectors based on the tobacco mosaic virus (TMV) genome are powerful tools for foreign gene expression in plants. However, the inclusion of increased genetic load in the form of foreign genes limits the speed of systemic plant invasion and host range of these vectors due to reduced replication and movement efficiencies. To improve these properties of TMV vectors, the gene encoding the 30-kDa movement protein was subjected to mutagenesis and DNA shuffling. A vector that expresses the green fluorescent protein was used to allow simple visual discrimination of mutants with enhanced movement phenotypes. An initial round of mutagenesis produced 53 clones with a faster local movement phenotype. Two subsequent rounds of DNA shuffling produced additional clones that showed further increased rates of cell-to-cell movement and degrees of systemic invasion in restrictive hosts. Surprisingly, sequence analysis of the best performing shuffled genes revealed alterations resulting in coding and silent changes in the movement protein gene. Separation of these coding and silent alterations into distinct gene backgrounds revealed that each contributes to improved movement protein function to differing degrees. The resulting vectors demonstrate that the complex activities of the movement protein genes of viruses can be evolved to have improved movement phenotypes, as evidenced by cell-to-cell and systemic invasion. The experiments produced improved vectors that will be of use both for in planta functional screening and for therapeutic protein production and demonstrated the power of shuffling for plant virus vector improvement.

DNA, Recombinant↗

High-density mutagenesis by combined DNA shuffling and phage display to assign essential amino acid residues in protein-protein interactions: application to study structure-function of plasminogen activation inhibitor 1 (PAI-I).

The identification of specific amino acid residues involved in protein-protein interaction is fundamental to understanding structure-function relationships. Supported by mathematical calculations, we designed a high-density mutagenesis procedure for the generation of a mutant library of which a limited number of random clones would suffice to exactly localize amino acid residues essential for a particular protein-protein interaction. This goal was achieved experimentally by consecutive cycles of DNA shuffling, under error prone conditions, each followed by exposure of the target protein on the surface of phages to screen and select for correctly folded, functional mutants. To validate the procedure, human plasminogen activator inhibitor 1 (PAI-1) was chosen, because its 3D structure is known, many experimental tools are available and it may serve as a model protein for structure-function studies of serine proteinases and their inhibitors (serpins). After five cycles of DNA shuffling and selection for t-PA binding, analysis of 27 randomly picked clones revealed that PAI-1 mutants contained an average of 9.1 amino acid substitutions distributed over 114 different positions, which were preferentially located at the surface of the protein. This limited collection of mutant PAI-1 preparations contained multiple mutants defective in binding to three out of four tested anti-PAI-1 monoclonal antibodies. Alignment of the nucleotide sequence of defective clones permitted assignment of single dominant amino acid residues for binding to each monoclonal antibody. The importance of these residues was confirmed by testing the properties of single point mutants. From the position of these amino acid residues in the 3D structure of PAI-1 and the effects of the corresponding monoclonal antibodies on t-PA-PAI-1 interaction, conclusions can be drawn with respect to this serpin-serine proteinase interaction.

Animals↗

DNA shuffling of a family of genes from diverse species accelerates directed evolution.

DNA shuffling is a powerful process for directed evolution, which generates diversity by recombination, combining useful mutations from individual genes. Libraries of chimaeric genes can be generated by random fragmentation of a pool of related genes, followed by reassembly of the fragments in a self-priming polymerase reaction. Template switching causes crossovers in areas of sequence homology. Our previous studies used single genes and random point mutations as the source of diversity. An alternative source of diversity is naturally occurring homologous genes, which provide 'functional diversity'. To evaluate whether natural diversity could accelerate the evolution process, we compared the efficiency of obtaining moxalactamase activity from four cephalosporinase genes evolved separately with that from a mixed pool of the four genes. A single cycle of shuffling yielded eightfold improvements from the four separately evolved genes, versus a 270- to 540-fold improvement from the four genes shuffled together, a 50-fold increase per cycle of shuffling. The best clone contained eight segments from three of the four genes as well as 33 amino-acid point mutations. Molecular breeding by shuffling can efficiently mix sequences from different species, unlike traditional breeding techniques. The power of family shuffling may arise from sparse sampling of a larger portion of sequence space.

Amino Acid Sequence↗

DNA shuffling: induced molecular breeding to produce new generation long-lasting vaccines.

The paradigm for classic vaccines has been to mimic natural infection, and their success relies mostly on the induction of neutralizing antibodies followed by long-lasting immunity. The outcome of aggressive chronic infections such as HIV and HCV, the reappearance of fastidious diseases such as tuberculosis and the progression of cancer growth suggest that natural immune responses are definitely insufficient in many cases. A new paradigm is needed to design and develop a new high-efficiency generation of vaccines ideally able to surpass the capabilities of natural immune responses. In vitro evolution is a new, important laboratory method to evolve molecules with desired properties, which appears as an appealing alternative to achieve this goal. In its battle against disease, the vertebrate immune system triggers a series of well-known molecular events in order to produce protective neutralizing antibodies. This natural in vivo response shares remarkable similarities with the in vitro technique known as molecular breeding or "DNA shuffling." This method exploits the recombination between genes to dramatically accelerate the rate at which genes can be evolved under selection pressure in the laboratory, producing optimized high-efficiency mutant proteins. Since new generation vaccines are aimed to overcome natural selection and environmental pressures to fully inactivate rapidly developing pathogen variants, they could be engineered, developed and selected through the application of directed DNA shuffling procedures. This review highlights the potential of the procedure in the complex context of natural immune responses and the equilibrium and interaction existing in nature between hosts and pathogens.

Journal Article↗

DNA shuffling of subgenomic sequences of subtilisin.

DNA family shuffling of 26 protease genes was used to create a library of chimeric proteases that was screened for four distinct enzymatic properties. Multiple clones were identified that were significantly improved over any of the parental enzymes for each individual property. Family shuffling, also known as molecular breeding, efficiently created all of the combinations of parental properties, producing a great diversity of property combinations in the progeny enzymes. Thus, molecular breeding, like classical breeding, is a powerful tool for recombining existing diversity to tailor biological systems for multiple functional parameters.

Enzyme Stability↗

Artificial evolution by DNA shuffling.

Improvement of enzymes is one of the important objectives of biotechnology. In vitro evolution of enzymes using DNA shuffling involves the assembly of two or more DNA segments into a full-length gene by homologous, or site-specific, recombination. Before the assembly, the segments are often subjected to random mutagenesis by error-prone PCR, random nucleotide insertion or other methods. Many useful enzymes and peptides have been isolated following the artificial evolution.

Bacteriophages↗