Large-scale gene discovery in the pea aphid Acyrthosiphon pisum (Hemiptera)

Aphids are the leading pests in agricultural crops. A large-scale sequencing of 40,904 ESTs from the pea aphid Acyrthosiphon pisum was carried out to define a catalog of 12,082 unique transcripts. A strong AT bias was found, indicating a compositional shift between Drosophila melanogaster and A. pisum. An in silico profiling analysis characterized 135 transcripts specific to pea-aphid tissues (relating to bacteriocytes and parthenogenetic embryos). This project is the first to address the genetics of the Hemiptera and of a hemimetabolous insect.Beatriz Sabater-Muñoz... et al

Generation of redesigned homing endonucleases comprising DNA-binding domains derived from two different scaffolds

Homing endonucleases have become valuable tools for genome engineering. Their sequence recognition repertoires can be expanded by modifying their specificities or by creating chimeric proteins through domain swapping between two subdomains of different homing endonucleases. Here, we show that these two approaches can be combined to create engineered meganucleases with new specificities. We demonstrate the modularity of the chimeric DmoCre meganuclease previously described, by successfully assembling mutants with locally altered specificities affecting both I-DmoI and I-CreI subdomains in order to create active meganucleases with altered specificities. Moreover these new engineered DmoCre variants appear highly specific and present a low toxicity level, similar to I-SceI, and can induce efficient homologous recombination events in mammalian cells. The DmoCre based meganucleases can therefore offer new possibilities for various genome engineering applications

A combinatorial approach to create artificial homing endonucleases cleaving chosen sequences

Meganucleases, or homing endonucleases (HEs) are sequence-specific endonucleases with large (>14 bp) cleavage sites that can be used to induce efficient homologous gene targeting in cultured cells and plants. These findings have opened novel perspectives for genome engineering in a wide range of fields, including gene therapy. However, the number of identified HEs does not match the diversity of genomic sequences, and the probability of finding a homing site in a chosen gene is extremely low. Therefore, the design of artificial endonucleases with chosen specificities is under intense investigation. In this report, we describe the first artificial HEs whose specificity has been entirely redesigned to cleave a naturally occurring sequence. First, hundreds of novel endonucleases with locally altered substrate specificity were derived from I-CreI, a Chlamydomonas reinhardti protein belonging to the LAGLIDADG family of HEs. Second, distinct DNA-binding subdomains were identified within the protein. Third, we used these findings to assemble four sets of mutations into heterodimeric endonucleases cleaving a model target or a sequence from the human RAG1 gene. These results demonstrate that the plasticity of LAGLIDADG endonucleases allows extensive engineering, and provide a general method to create novel endonucleases with tailored specificities

Context dependence between subdomains in the DNA binding interface of the I-CreI homing endonuclease

Homing endonucleases (HE) have emerged as precise tools for achieving gene targeting events. Redesigned HEs with tailored specificities can be used to cleave new sequences, thereby considerably expanding the number of targetable genes and loci. With HEs, as well as with other protein scaffolds, context dependence of DNA/protein interaction patterns remains one of the major limitations for rational engineering of new DNA binders. Previous studies have shown strong crosstalk between different residues and regions of the DNA binding interface. To investigate this phenomenon, we systematically combined mutations from three groups of amino acids in the DNA binding regions of the I-CreI HE. Our results confirm that important crosstalk occurs throughout this interface in I-CreI. Detailed analysis of success rates identified a nearest-neighbour effect, with a more pronounced level of dependence between adjacent regions. Taken together, these data suggest that combinatorial engineering does not necessarily require the identification of separable functional or structural regions, and that groups of amino acids provide acceptable building blocks that can be assembled, overcoming the context dependency of the DNA binding interface. Furthermore, the present work describes a sequential method to engineer tailored HEs, wherein three contiguous regions are individually mutated and assembled to create HEs with engineered specificity

GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts

Genomic projects heavily depend on genome annotations and are limited by the current deficiencies in the published predictions of gene structure and function. It follows that, improved annotation will allow better data mining of genomes, and more secure planning and design of experiments. The purpose of the GeneFarm project is to obtain homogeneous, reliable, documented and traceable annotations for Arabidopsis nuclear genes and gene products, and to enter them into an added-value database. This re-annotation project is being performed exhaustively on every member of each gene family. Performing a family-wide annotation makes the task easier and more efficient than a gene-by-gene approach since many features obtained for one gene can be extrapolated to some or all the other genes of a family. A complete annotation procedure based on the most efficient prediction tools available is being used by 16 partner laboratories, each contributing annotated families from its field of expertise. A database, named GeneFarm, and an associated user-friendly interface to query the annotations have been developed. More than 3000 genes distributed over 300 families have been annotated and are available at http://genoplante-info.infobiogen.fr/Genefarm/. Furthermore, collaboration with the Swiss Institute of Bioinformatics is underway to integrate the GeneFarm data into the protein knowledgebase Swiss-Prot

GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts

Genomic projects heavily depend on genome annotations and are limited by the current deficiencies in the published predictions of gene structure and function. It follows that, improved annotation will allow better data mining of genomes, and more secure planning and design of experiments. The purpose of the GeneFarm project is to obtain homogeneous, reliable, documented and traceable annotations for Arabidopsis nuclear genes and gene products, and to enter them into an added-value database. This re-annotation project is being performed exhaustively on every member of each gene family. Performing a family-wide annotation makes the task easier and more efficient than a gene-by-gene approach since many features obtained for one gene can be extrapolated to some or all the other genes of a family. A complete annotation procedure based on the most efficient prediction tools available is being used by 16 partner laboratories, each contributing annotated families from its field of expertise. A database, named GeneFarm, and an associated user-friendly interface to query the annotations have been developed. More than 3000 genes distributed over 300 families have been annotated and are available at http://genoplante-info.infobiogen.fr/Genefarm/. Furthermore, collaboration with the Swiss Institute of Bioinformatics is underway to integrate the GeneFarm data into the protein knowledgebase Swiss-Pro

Identification of an Element Crucial for the Sub-synaptic Expression of the Acetylcholine Receptor

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