Exploring the transcription activator-like effectors scaffold versatility to expand the toolbox of designer nucleases.

BACKGROUND: The past decade has seen the emergence of several molecular tools that render possible modification of cellular functions through accurate and easy addition, removal, or exchange of genomic DNA sequences. Among these technologies, transcription activator-like effectors (TALE) has turned out to be one of the most versatile and incredibly robust platform for generating targeted molecular tools as demonstrated by fusion to various domains such as transcription activator, repressor and nucleases. RESULTS: In this study, we generated a novel nuclease architecture based on the transcription activator-like effector scaffold. In contrast to the existing Tail to Tail (TtT) and head to Head (HtH) nuclease architectures based on the symmetrical association of two TALE DNA binding domains fused to the C-terminal (TtT) or N-terminal (HtH) end of FokI, this novel architecture consists of the asymmetrical association of two different engineered TALE DNA binding domains fused to the N- and C-terminal ends of FokI (TALE::FokI and FokI::TALE scaffolds respectively). The characterization of this novel Tail to Head (TtH) architecture in yeast enabled us to demonstrate its nuclease activity and define its optimal target configuration. We further showed that this architecture was able to promote substantial level of targeted mutagenesis at three endogenous loci present in two different mammalian cell lines. CONCLUSION: Our results demonstrated that this novel functional TtH architecture which requires binding to only one DNA strand of a given endogenous locus has the potential to extend the targeting possibility of FokI-based TALE nucleases.

Efficient design of meganucleases using a machine learning approach.

BACKGROUND: Meganucleases are important tools for genome engineering, providing an efficient way to generate DNA double-strand breaks at specific loci of interest. Numerous experimental efforts, ranging from in vivo selection to in silico modeling, have been made to re-engineer meganucleases to target relevant DNA sequences. RESULTS: Here we present a novel in silico method for designing custom meganucleases that is based on the use of a machine learning approach. We compared it with existing in silico physical models and high-throughput experimental screening. The machine learning model was used to successfully predict active meganucleases for 53 new DNA targets. CONCLUSIONS: This new method shows competitive performance compared with state-of-the-art in silico physical models, with up to a fourfold increase in terms of the design success rate. Compared to experimental high-throughput screening methods, it reduces the number of screening experiments needed by a factor of more than 100 without affecting final performance.

Comprehensive analysis of the specificity of transcription activator-like effector nucleases.

A key issue when designing and using DNA-targeting nucleases is specificity. Ideally, an optimal DNA-targeting tool has only one recognition site within a genomic sequence. In practice, however, almost all designer nucleases available today can accommodate one to several mutations within their target site. The ability to predict the specificity of targeting is thus highly desirable. Here, we describe the first comprehensive experimental study focused on the specificity of the four commonly used repeat variable diresidues (RVDs; NI:A, HD:C, NN:G and NG:T) incorporated in transcription activator-like effector nucleases (TALEN). The analysis of >15 500 unique TALEN/DNA cleavage profiles allowed us to monitor the specificity gradient of the RVDs along a TALEN/DNA binding array and to present a specificity scoring matrix for RVD/nucleotide association. Furthermore, we report that TALEN can only accommodate a relatively small number of position-dependent mismatches while maintaining a detectable activity at endogenous loci in vivo, demonstrating the high specificity of these molecular tools. We thus envision that the results we provide will allow for more deliberate choices of DNA binding arrays and/or DNA targets, extending our engineering capabilities.

BurrH: a new modular DNA binding protein for genome engineering.

The last few years have seen the increasing development of new DNA targeting molecular tools and strategies for precise genome editing. However, opportunities subsist to either improve or expand the current toolbox and further broaden the scope of possible biotechnological applications. Here we report the discovery and the characterization of BurrH, a new modular DNA binding protein from Burkholderia rhizoxinica that is composed of highly polymorphic DNA targeting modules. We also engineered this scaffold to create a new class of designer nucleases that can be used to efficiently induce in vivo targeted mutagenesis and targeted gene insertion at a desired locus.

Compact designer TALENs for efficient genome engineering.

Transcription activator-like effector nucleases are readily targetable 'molecular scissors' for genome engineering applications. These artificial nucleases offer high specificity coupled with simplicity in design that results from the ability to serially chain transcription activator-like effector repeat arrays to target individual DNA bases. However, these benefits come at the cost of an appreciably large multimeric protein complex, in which DNA cleavage is governed by the nonspecific FokI nuclease domain. Here we report a significant improvement to the standard transcription activator-like effector nuclease architecture by leveraging the partially specific I-TevI catalytic domain to create a new class of monomeric, DNA-cleaving enzymes. In vivo yeast, plant and mammalian cell assays demonstrate that the half-size, single-polypeptide compact transcription activator-like effector nucleases exhibit overall activity and specificity comparable to currently available designer nucleases. In addition, we harness the catalytic mechanism of I-TevI to generate novel compact transcription activator-like effector nuclease-based nicking enzymes that display a greater than 25-fold increase in relative targeted gene correction efficacy.

High frequency targeted mutagenesis using engineered endonucleases and DNA-end processing enzymes.

Targeting DNA double-strand breaks is a powerful strategy for gene inactivation applications. Without the use of a repair plasmid, targeted mutagenesis can be achieved through Non-Homologous End joining (NHEJ) pathways. However, many of the DNA breaks produced by engineered nucleases may be subject to precise re-ligation without loss of genetic information and thus are likely to be unproductive. In this study, we combined engineered endonucleases and DNA-end processing enzymes to increase the efficiency of targeted mutagenesis, providing a robust and efficient method to (i) greatly improve targeted mutagenesis frequency up to 30-fold, and; (ii) control the nature of mutagenic events using meganucleases in conjunction with DNA-end processing enzymes in human primary cells.

Characterization of Mycobacterium leprae RecA intein, a LAGLIDADG homing endonuclease, reveals a unique mode of DNA binding, helical distortion, and cleavage compared with a canonical LAGLIDADG homing endonuclease.

Mycobacterium leprae, which has undergone reductive evolution leaving behind a minimal set of essential genes, has retained intervening sequences in four of its genes implicating a vital role for them in the survival of the leprosy bacillus. A single in-frame intervening sequence has been found embedded within its recA gene. Comparison of the M. leprae recA intervening sequence with the known intervening sequences indicated that it has the consensus amino acid sequence necessary for being a LAGLIDADG-type homing endonuclease. In light of massive gene decay and function loss in the leprosy bacillus, we sought to investigate whether its recA intervening sequence encodes a catalytically active homing endonuclease. Here we show that the purified M. leprae RecA intein (PI-MleI) binds to cognate DNA and displays endonuclease activity in the presence of alternative divalent cations, Mg2+ or Mn2+. A combination of approaches, including four complementary footprinting assays such as DNase I, copper-phenanthroline, methylation protection, and KMnO4, enhancement of 2-aminopurine fluorescence, and mapping of the cleavage site revealed that PI-MleI binds to cognate DNA flanking its insertion site, induces helical distortion at the cleavage site, and generates two staggered double strand breaks. Taken together, these results implicate that PI-MleI possesses a modular structure with separate domains for DNA target recognition and cleavage, each with distinct sequence preferences. From a biological standpoint, it is tempting to speculate that our findings have implications for understanding the evolution of the LAGLIDADG family of homing endonucleases.

From monomeric to homodimeric endonucleases and back: engineering novel specificity of LAGLIDADG enzymes.

Monomeric homing endonucleases of the LAGLIDADG family recognize DNA in a bipartite manner, reflecting the underlying structural assembly of two protein domains (A and B) related by pseudo 2-fold symmetry. This architecture allows for changes in DNA specificity via the distinct combination of these half-site domains. The key to engineering such hybrid proteins lies in the LAGLIDADG two-helix bundle that forms both the domain interface and the endonuclease active site. In this study, we utilize domain A of the monomeric I-DmoI to demonstrate the feasibility of generating functional homodimeric endonucleases that recognize palindromic DNA sequences derived from the original, non-palindromic target. Wild-type I-DmoI domain A is capable of forming a homodimer (H-DmoA) that binds tightly to, but does not cleave efficiently, its anticipated DNA target. Partial restoration of DNA cleavage ability was obtained by re-engineering the LAGLIDADG dimerization interface (H-DmoC). Upon fusing two copies of H-DmoC via a short peptide linker, a novel, site-specific DNA endonuclease was created (H-DmoC2). Like I-DmoI, H-DmoC2 is thermostable and cleaves the new target DNA to generate the predicted 4 nt 3'-OH overhangs but, unlike I-DmoI, H-DmoC2 retains stringent cleavage specificity when substituting Mn2+ for Mg2+ as co-factor. This novel endonuclease allows speculation regarding specificity of monomeric LAGLIDADG proteins, while it supports the evolutionary genesis of these proteins by a gene duplication event.

Analysis of the LAGLIDADG interface of the monomeric homing endonuclease I-DmoI.

The general structural fold of the LAGLIDADG endonuclease family consists of two similar alpha/beta domains (alphabetabetaalphabetabetaalpha) that assemble either as homodimers or monomers with the domains related by pseudo-two-fold symmetry. At the center of this symmetry is the closely packed LAGLIDADG two-helix bundle that forms the main inter- or intra-molecular contact region between the domains of single- or double-motif proteins, respectively. In this work, we further examine the role of the LAGLIDADG residues involved in the helix-helix interaction. The interchangeability of the LAGLIDADG helix interaction was explored by grafting interfacial residues from the homodimeric I-CreI into the corresponding positions in the monomeric I-DmoI. The resulting LAGLIDADG exchange mutant is partially active, preferring to nick dsDNA rather than making the customary double-strand break. A series of partial revertants within the mutated LAGLIDADG region are shown to restore cleavage activity to varying degrees resulting in one I-DmoI mutant that is more active than wild-type I-DmoI. The phenotype of some of these mutants was reconciled on the basis of similarity to the GxxxG helix interaction found in transmembrane proteins. Additionally, a split variant of I-DmoI was created, demonstrating that the LAGLIDADG helices of I-DmoI are capable of forming and maintaining the protein-protein interface in trans to create an active heterodimer.