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Arabidopsis genomic information for interpreting wheat EST sequences.

The resources available from Arabidopsis thaliana for interpreting functional attributes of wheat EST are reviewed. A focus for the review is a comparison between wheat EST sequences, generated from developing endosperm tissue, and the complete genomic sequence from Arabidopsis. The available information indicates that not only can tentative annotations be assigned to many wheat genes but also putative or unknown Arabidopsis gene annotations can be improved by comparative genomics.

Amino Acid Sequence↗

Characterization and comparative analysis of the EGLN gene family.

Rat Sm-20 is a homologue of the Caenorhabditis elegans gene egl-9 and has been implicated in the regulation of growth, differentiation and apoptosis in muscle and nerve cells. Null mutants in egl-9 result in a complete tolerance to an otherwise lethal toxin produced by Pseudomonas aeruginosa. This study describes the conserved Egl-Nine (EGLN) gene family of which rat SM-20 and C. elegans Egl-9 are members and characterizes the mouse and human homologues. Each of the human genes (EGLN1, EGLN2 and EGLN3) are of a conserved genomic structure consisting of five coding exons. Phylogenetic analysis and domain organization show that EGLN1 represents the ancestral form of the gene family and that EGLN3 is the human orthologue of rat Sm-20. The previously observed mitochondrial targeting of rat SM-20 is unlikely to be a general feature of the protein family and may be a feature specific to rats. An EGLN gene is unexpectedly found in the genome of P. aeruginosa, a bacterium known to produce a toxin that acts through the Egl-9 protein. The pathogenic bacterium Vibrio cholerae is also shown to have an EGLN gene suggesting that it is an important pathogenicity factor. These results provide new insights into host-pathogen interactions and a basis for further functional characterization of the gene family and resolve discrepancies in annotation between gene family members.

Amino Acid Sequence↗

The WRKY family of transcription factors in rice and Arabidopsis and their origins.

WRKY transcription factors, originally isolated from plants contain one or two conserved WRKY domains, about 60 amino acid residues with the WRKYGQK sequence followed by a C2H2 or C2HC zinc finger motif. Evidence is accumulating to suggest that the WRKY proteins play significant roles in responses to biotic and abiotic stresses, and in development. In this research, we identified 102 putative WRKY genes from the rice genome and compared them with those from Arabidopsis. The WRKY genes from rice and Arabidopsis were divided into three groups with several subgroups on the basis of phylogenies and the basic structure of the WRKY domains (WDs). The phylogenetic trees generated from the WDs and the genes indicate that the WRKY gene family arose during evolution through duplication and that the dramatic amplification of rice WRKY genes in group III is due to tandem and segmental gene duplication compared with those of Arabidopsis. The result suggests that some of the rice WRKY genes in group III are evolutionarily more active than those in Arabidopsis, and may have specific roles in monocotyledonous plants. Further, it was possible to identify the presence of WRKY-like genes in protists (Giardia lamblia and Dictyostelium discoideum) and green algae Chlamydomonas reinhardtii through database research, demonstrating the ancient origin of the gene family. The results obtained by alignments of the WDs from different species and other analysis imply that domain gain and loss is a divergent force for expansion of the WRKY gene family, and that a rapid amplification of the WRKY genes predate the divergence of monocots and dicots. On the basis of these results, we believe that genes encoding a single WD may have been derived from the C-terminal WD of the genes harboring two WDs. The conserved intron splicing positions in the WDs of higher plants offer clues about WRKY gene evolution, annotation, and classification.

Amino Acid Motifs↗

PowerBLAST: a new network BLAST application for interactive or automated sequence analysis and annotation.

As the rate of DNA sequencing increases, analysis by sequence similarity search will need to become much more efficient in terms of sensitivity, specificity, automation potential, and consistency in annotation. PowerBLAST was developed, in part, to address these problems. PowerBLAST includes a number of options for masking repetitive elements and low complexity subsequences. It also has the capacity to restrict the search to any level of NCBI's taxonomy index, thus supporting "comparative genomics" applications. Postprocessing of the BLAST output using the SIM series of algorithms produces optimal, gapped alignments, and multiple alignments when a region of the query sequence matches multiple database sequences. PowerBLAST is capable of processing sequences of any length because it divides long query sequences into overlapping fragments and then merges the results after searching. The results may be viewed graphically, as a textual representation, or as an HTML page with links to GenBank and Entrez. For matching database sequences, annotated features are superimposed on the aligned query sequence in the output, thus greatly increasing the ease of interpretation. Such features may be used for automated annotation of new sequence because PowerBLAST output in ASN.1 form may be "dragged and dropped" into NCBI's Sequin program for sequence annotation and submission. PowerBLAST is capable of analyzing and annotating a 100-kb query in 60 min on NCBI's BLAST server.

Amino Acid Sequence↗

Importing statistical measures into Artemis enhances gene identification in the Leishmania genome project.

BACKGROUND: Seattle Biomedical Research Institute (SBRI) as part of the Leishmania Genome Network (LGN) is sequencing chromosomes of the trypanosomatid protozoan species Leishmania major. At SBRI, chromosomal sequence is annotated using a combination of trained and untrained non-consensus gene-prediction algorithms with ARTEMIS, an annotation platform with rich and user-friendly interfaces. RESULTS: Here we describe a methodology used to import results from three different protein-coding gene-prediction algorithms (GLIMMER, TESTCODE and GENESCAN) into the ARTEMIS sequence viewer and annotation tool. Comparison of these methods, along with the CODONUSAGE algorithm built into ARTEMIS, shows the importance of combining methods to more accurately annotate the L. major genomic sequence. CONCLUSION: An improvised and powerful tool for gene prediction has been developed by importing data from widely-used algorithms into an existing annotation platform. This approach is especially fruitful in the Leishmania genome project where there is large proportion of novel genes requiring manual annotation.

Algorithms↗

Development of a functional genomics platform for Sinorhizobium meliloti: construction of an ORFeome.

The nitrogen-fixing, symbiotic bacterium Sinorhizobium meliloti reduces molecular dinitrogen to ammonia in a specific symbiotic context, supporting the nitrogen requirements of various forage legumes, including alfalfa. Determining the DNA sequence of the S. meliloti genome was an important step in plant-microbe interaction research, adding to the considerable information already available about this bacterium by suggesting possible functions for many of the >6,200 annotated open reading frames (ORFs). However, the predictive power of bioinformatic analysis is limited, and putting the role of these genes into a biological context will require more definitive functional approaches. We present here a strategy for genetic analysis of S. meliloti on a genomic scale and report the successful implementation of the first step of this strategy by constructing a set of plasmids representing 100% of the 6,317 annotated ORFs cloned into a mobilizable plasmid by using efficient PCR and recombination protocols. By using integrase recombination to insert these ORFs into other plasmids in vitro or in vivo (B. L. House et al., Appl. Environ. Microbiol. 70:2806-2815, 2004), this ORFeome can be used to generate various specialized genetic materials for functional analysis of S. meliloti, such as operon fusions, mutants, and protein expression plasmids. The strategy can be generalized to many other genome projects, and the S. meliloti clones should be useful for investigators wanting an accessible source of cloned genes encoding specific enzymes.

Bacterial Proteins↗

Contact-based sequence alignment.

This paper introduces the novel method of contact-based protein sequence alignment, where structural information in the form of contact mutation probabilities is incorporated into an alignment routine using contact-mutation matrices (CAO: Contact Accepted mutatiOn). The contact-based alignment routine optimizes the score of matched contacts, which involves four (two per contact) instead of two residues per match in pairwise alignments. The first contact refers to a real side-chain contact in a template sequence with known structure, and the second contact is the equivalent putative contact of a homologous query sequence with unknown structure. An algorithm has been devised to perform a pairwise sequence alignment based on contact information. The contact scores were combined with PAM-type (Point Accepted Mutation) substitution scores after parameterization of gap penalties and score weights by means of a genetic algorithm. We show that owing to the structural information contained in the CAO matrices, significantly improved alignments of distantly related sequences can be obtained. This has allowed us to annotate eight putative Drosophila IGF sequences. Contact-based sequence alignment should therefore prove useful in comparative modelling and fold recognition.

Algorithms↗

Molecular diversity of alveolates associated with neritic north atlantic radiolarians.

Seven species of polycystine radiolarians and one phaeodarian species were investigated in order to determine the diversity of their associate organisms and their species specificity. Twelve partial 18S ribosomal DNA (rDNA) sequences were obtained showing a high diversity of associates, both within spumellarian and nassellarian radiolarians and among species. Two of the sequences obtained are highly similar to Scrippsiella, a dinoflagellate genus already reported as a symbiont of polycystine radiolarians. Nine of the new 18S rDNA sequences group with various alveolates. Some of these groups include parasites, such as the lethal endoparasite Amoebophrya, while others consist of non-annotated novel organisms found worldwide in various types of marine environments. We also obtained a sequence from a bacillariophytan highly similar to the 18S rDNA of the diatom species Diatoma tenue, which may derive from radiolarian food. Additionally, this is the first study to report on a phaeodarian associate.

Animals↗

SGP-1: prediction and validation of homologous genes based on sequence alignments.

Conventional methods of gene prediction rely on the recognition of DNA-sequence signals, the coding potential or the comparison of a genomic sequence with a cDNA, EST, or protein database. Reasons for limited accuracy in many circumstances are species-specific training and the incompleteness of reference databases. Lately, comparative genome analysis has attracted increasing attention. Several analysis tools that are based on human/mouse comparisons are already available. Here, we present a program for the prediction of protein-coding genes, termed SGP-1 (Syntenic Gene Prediction), which is based on the similarity of homologous genomic sequences. In contrast to most existing tools, the accuracy of depends little on species-specific properties such as codon usage or the nucleotide distribution. may therefore be applied to nonstandard model organisms in vertebrates as well as in plants, without the need for extensive parameter training. In addition to predicting genes in large-scale genomic sequences, the program may be useful to validate gene structure annotations from databases. To this end, SGP-1 output also contains comparisons between predicted and annotated gene structures in HTML format. The program can be accessed via a Web server at http://soft.ice.mpg.de/sgp-1. The source code, written in ANSI C, is available on request from the authors.

Algorithms↗

Functional annotation of proteins identified in human brain during the HUPO Brain Proteome Project pilot study.

The HUPO Brain Proteome Project is an initiative coordinating proteomics studies to characterise human and mouse brain proteomes. Proteins identified in human brain samples during the project's pilot phase were put into biological context through integration with various annotation sources followed by a bioinformatics analysis. The data set was related to the genome sequence via the genes encoding identified proteins including an assessment of splice variant identification as well as an analysis of tissue specificity of the respective transcripts. Proteins were furthermore categorised according to subcellular localisation, molecular function and biological process, grouped into protein families and mapped to biological pathways they are known to act in. Involvement in pathological conditions was examined based on association with entries in the online version of Mendelian Inheritance in Man and an interaction network was derived from curated protein-proteininteraction data. Overall a non-redundant set of 1804 proteins was identified in human brain samples. In the majority of cases splice variants could be unambiguously identified by unique peptides, including matches to several hypothetical transcripts of known as well as predicted genes.

Alternative Splicing↗

Construction and analysis of a profile library characterizing groups of structurally known proteins.

A new sequence motif library StrProf was constructed characterizing the groups of related proteins in the PDB three-dimensional structure database. For a representative member of each protein family, which was identified by cross-referencing the PDB with the PIR superfamily classification, a group of related sequences was collected by the BLAST search against the nonredundant protein sequence database. For every group, the motifs were identified automatically according to the criteria of conservation and uniqueness of pentapeptide patterns and with a dual dynamic programming algorithm. In the StrProf library, motifs are represented by profile matrices rather than consensus patterns to allow more flexible search capabilities. Another dynamic programming algorithm was then developed to search this motif library. When the computationally derived StrProf was compared with PROSITE, which is a manually derived motif library in the best consensus pattern representation, the numbers of identified patterns were comparable. StrProf missed about one third of the PROSITE motifs, but there were also new motifs lacking in PROSITE. The new library was incorporated in SMART (Sequence Motif Analysis and Retrieval Tool), a computer tool designed to help search and annotate biologically important sites in an unknown protein sequence. The client program is available free of charge through the Internet.

Algorithms↗

FISH: a guide to protein-coding DNA sequences in the GenBank database.

FISH (Fast Index Search for Homologous coding sequences) consists of a database and associated software and is intended to function as a directory of protein-coding gene sequences. The FISH index contains descriptions of 22,361 DNA sequences from release 69.0 of the GenBank genetic sequence database. Complete coding sequences are represented numerically with counts of nucleotides and synonymous codons, and with GenBank LOCUS names and short descriptions. The software permits the database to be queried by GenBank LOCUS name, sequence length (expressed as total number of codons), or by comparison with a DNA sequence. In the latter case, the numerical descriptions are compared with simple distance measures in place of actual DNA sequences. The FISH package can be used to rapidly assemble lists of similar coding sequences, without regard to functional annotation or sequence alignments. Typical search times are well under a minute on widely available IBM-compatible microcomputers.

Algorithms↗

Steady-state transposon mutagenesis in inbred maize.

We implement a novel strategy for harnessing the power of high-copy transposons for functional analysis of the maize genome, and report behavioral features of the Mutator system in a uniform inbred background. The unique UniformMu population and database facilitate high-throughput molecular analysis of Mu-tagged mutants and gene knockouts. Key features of the population include: (i) high mutation frequencies (7% independent seed mutations) and moderation of copy number (approximately 57 total Mu elements; 1-2 MuDR copies per plant) were maintained by continuous back-crossing into a phenotypically uniform inbred background; (ii) a bz1-mum9 marker enabled selection of stable lines (loss of MuDR), inhibiting further transpositions in lines selected for molecular analysis; (iii) build-up of mutation load was prevented by screening Mu-active parents to exclude plants carrying pre-existing seed mutations. To create a database of genomic sequences flanking Mu insertions, selected mutant lines were analyzed by sequencing of MuTAIL PCR clone libraries. These sequences were annotated and clustered to facilitate bioinformatic subtraction of ancestral elements and identification of insertions unique to mutant lines. New insertions targeted low-copy, gene-rich sequences, and in silico mapping revealed a random distribution of insertions over the genome. Our results indicate that Mu populations differ markedly in the occurrence of Mu insertion hotspots and the frequency of suppressible mutations. We suggest that controlled MuDR copy number in UniformMu lines is a key determinant of these differences. The public database (http://uniformmu.org; http://endosperm.info) includes pedigree and phenotypic data for over 2000 independent seed mutants selected from a population of 31 548 F2 lines and integrated with analyses of 34 255 MuTAIL sequences.

Breeding↗

Purification, microsequencing and cloning of spinach ATP-dependent phosphofructokinase link sequence and function for the plant enzyme.

Despite its importance in plant metabolism, no sequences of higher plant ATP-dependent phosphofructokinase (EC 2.7.1.11) are annotated in the databases. We have purified the enzyme from spinach leaves 309-fold to electrophoretic homogeneity. The purified enzyme was a homotetramer of approximately 52 kDa subunits with a specific activity of 600 mU x mg(-1) and a Km value for ATP of 81 microm. The purified enzyme was not activated by phosphate, but slightly inhibited instead, suggesting that it was the chloroplast isoform. The inclusion of adenosine 5'-(beta,gamma-imido)triphosphate was conducive to enzyme activity during the purification protocol. The sequences of eight tryptic peptides from the final protein preparation, which did not utilize pyrophosphate as a phosphoryl donor, were determined and an exactly corresponding cDNA was cloned. The sequence of enzymatically active spinach ATP-dependent phosphofructokinase suggests that a large family of genomics-derived higher plant sequences currently annotated in the databases as putative pyrophosphate-dependent phosphofructokinases according to sequence similarity is misannotated with respect to the cosubstrate.

Amino Acid Sequence↗

Building a genome database using an object-oriented approach.

GOBASE is a relational database that integrates data associated with mitochondria and chloroplasts. The most important data in GOBASE, i. e., molecular sequences and taxonomic information, are obtained from the public sequence data repository at the National Center for Biotechnology Information (NCBI), and are validated by our experts. Maintaining a curated genomic database comes with a towering labor cost, due to the shear volume of available genomic sequences and the plethora of annotation errors and omissions in records retrieved from public repositories. Here we describe our approach to increase automation of the database population process, thereby reducing manual intervention. As a first step, we used Unified Modeling Language (UML) to construct a list of potential errors. Each case was evaluated independently, and an expert solution was devised, and represented as a diagram. Subsequently, the UML diagrams were used as templates for writing object-oriented automation programs in the Java programming language.

Databases, Genetic↗

Evolution of the proto-MHC ancestral region: more evidence for the plesiomorphic organisation of human chromosome 9q34 region.

The present day structure of the vertebrate major histocompatibility complex (MHC) and its three paralogous regions has always been a focus of interest. In a recent study, nine human anchor genes located in the MHC region were cloned from a Branchiostoma floridae (amphioxus) cosmid library. The identification and analysis of 31 surrounding genes led to the most probable model of two rounds of en bloc duplication giving rise to these regions. These events were estimated to have occurred after the cephalochordata-craniata divergence [approximately 766 million years ago (Mya)] and before the Gnathostomata radiation (approximately 528 Mya). Furthermore, it was also shown that after this large-scale duplication one of these regions, corresponding to the human 9q33-q34, had retained an ancestral organisation. In the present study, four new cosmids in the amphioxus proto-MHC region were identified by the chromosomal walking technique. These cosmids were sequenced, and their structural annotation was performed, leading to the prediction of eleven genes. Their phylogenetic relationships among species corroborate the results obtained previously and provide more evidence for the plesiomorphic state of the human chromosome 9q33-34 MHC paralogous region.

Animals↗

OMGProm: a database of orthologous mammalian gene promoters.

SUMMARY: Sequence comparisons between human and rodents are increasingly being used for the identification of gene regulatory regions. The effectiveness of such an approach largely depends on the quality and availability of promoter sequences. We developed OMGProm by integrating three data sources: (1) experimentally supported full-length cDNA, promoter and first exon sequences; (2) homology information from HomoloGene and (3) the human and mouse genomic sequences. The current version of OMGProm contains 8550 promoter pairs of 6373 orthologous human and mouse genes, where supporting experimental evidence for transcription start site annotation exists in at least one species.

Animals↗

A defect in a novel Nek-family kinase causes cystic kidney disease in the mouse and in zebrafish.

The murine autosomal recessive juvenile cystic kidney (jck) mutation results in polycystic kidney disease. We have identified in jck mice a mutation in Nek8, a novel and highly conserved member of the Nek kinase family. In vitro expression of mutated Nek8 results in enlarged, multinucleated cells with an abnormal actin cytoskeleton. To confirm that a defect in the Nek8 gene can cause cystic disease, we performed a cross-species analysis: injection of zebrafish embryos with a morpholino anti-sense oligonucleotide corresponding to the ortholog of Nek8 resulted in the formation of pronephric cysts. These results demonstrate that comparative analysis of gene function in different model systems represents a powerful means to annotate gene function.

Amino Acid Sequence↗