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At least 1,189 records · Page 66Linked to original sources

Comparative analysis of expressed sequences in Phytophthora sojae.

Phytophthora sojae (Kaufmann and Gerdemann) is an oomycete that causes stem and root rot on soybean (Glycine max L. Merr) plants. We have constructed three cDNA libraries using mRNA isolated from axenically grown mycelium and zoospores and from tissue isolated from plant hypocotyls 48 h after inoculation with zoospores. A total of 3,035 expressed sequence tags (ESTs) were generated from the three cDNA libraries, representing an estimated 2,189 cDNA transcripts. The ESTs were classified according to putative function based on similarity to known proteins, and were analyzed for redundancy within and among the three source libraries. Distinct expression patterns were observed for each library. By analysis of the percentage G+C content of the ESTs, we estimate that two-thirds of the ESTs from the infected plant library are derived from P. sojae cDNA transcripts. The ESTs originating from this study were also compared with a collection of Phytophthora infestans ESTs and with all other non-human ESTs to assess the similarity of the P. sojae sequences to existing EST data. This collection of cDNA libraries, ESTs, and accompanying annotation will provide a new resource for studies on oomycetes and on soybean responses to pathogen challenge.

DNA, Complementary↗

Systematic evaluation of map quality: human chromosome 22.

Marker positions on nine genetic linkage, radiation hybrid, and integrated maps of human chromosome 22 were compared with their corresponding positions in the completed DNA sequence. The proportion of markers whose map position is <250 kb from their respective sequence positions ranges from 100% to 35%. Several discordant markers were identified, as well as four regions that show common inconsistencies across multiple maps. These shared discordant regions surround duplicated DNA segments and may indicate mapping or assembly errors due to sequence homology. Recombination-rate distributions along the chromosome were also evaluated, with male and female meioses showing significantly different patterns of recombination, including an 8-Mb male recombination desert. The distributions of radiation-induced chromosome breakage for the GB4 and the G3 radiation hybrid panels were also evaluated. Both panels show fluctuations in breakage intensity, with different regions of significantly elevated rates of breakage. These results provide support for the common assumption that radiation-induced breaks are generally randomly distributed. The present studies detail the limitations of these important map resources and should prove useful for clarifying potential problems in the human maps and sequence assemblies, as well as for mapping and sequencing projects in and across other species.

Chromosome Breakage↗

SeqVISTA: a graphical tool for sequence feature visualization and comparison.

BACKGROUND: Many readers will sympathize with the following story. You are viewing a gene sequence in Entrez, and you want to find whether it contains a particular sequence motif. You reach for the browser's "find in page" button, but those darn spaces every 10 bp get in the way. And what if the motif is on the opposite strand? Subsequently, your favorite sequence analysis software informs you that there is an interesting feature at position 13982-14013. By painstakingly counting the 10 bp blocks, you are able to examine the sequence at this location. But now you want to see what other features have been annotated close by, and this information is buried several screenfuls higher up the web page. RESULTS: SeqVISTA presents a holistic, graphical view of features annotated on nucleotide or protein sequences. This interactive tool highlights the residues in the sequence that correspond to features chosen by the user, and allows easy searching for sequence motifs or extraction of particular subsequences. SeqVISTA is able to display results from diverse sequence analysis tools in an integrated fashion, and aims to provide much-needed unity to the bioinformatics resources scattered around the Internet. Our viewer may be launched on a GenBank record by a single click of a button installed in the web browser. CONCLUSION: SeqVISTA allows insights to be gained by viewing the totality of sequence annotations and predictions, which may be more revealing than the sum of their parts. SeqVISTA runs on any operating system with a Java 1.4 virtual machine. It is freely available to academic users at http://zlab.bu.edu/SeqVISTA.

Amino Acid Sequence↗

Compression of nucleic acid and protein sequence data.

This paper describes the application of text compression methods to machine-readable files of nucleic acid and protein sequence data. Two main methods are used to reduce the storage requirements of such files, these being n-gram coding and run-length coding. A Pascal program combining both of these techniques resulted in a compression figure of 74.6% for the GenBank data-base and a program that used only n-gram coding gave a compression figure of 42.8% for the Protein Identification Resource database.

Algorithms↗

Towards pathogenomics: a web-based resource for pathogenicity islands.

Pathogenicity islands (PAIs) are genetic elements whose products are essential to the process of disease development. They have been horizontally (laterally) transferred from other microbes and are important in evolution of pathogenesis. In this study, a comprehensive database and search engines specialized for PAIs were established. The pathogenicity island database (PAIDB) is a comprehensive relational database of all the reported PAIs and potential PAI regions which were predicted by a method that combines feature-based analysis and similarity-based analysis. Also, using the PAI Finder search application, a multi-sequence query can be analyzed onsite for the presence of potential PAIs. As of April 2006, PAIDB contains 112 types of PAIs and 889 GenBank accessions containing either partial or all PAI loci previously reported in the literature, which are present in 497 strains of pathogenic bacteria. The database also offers 310 candidate PAIs predicted from 118 sequenced prokaryotic genomes. With the increasing number of prokaryotic genomes without functional inference and sequenced genetic regions of suspected involvement in diseases, this web-based, user-friendly resource has the potential to be of significant use in pathogenomics. PAIDB is freely accessible at http://www.gem.re.kr/paidb.

Bacteria↗

Construction of a garlic BAC library and chromosomal assignment of BAC clones using the FISH technique.

For molecular and cytogenetic studies, two partial bacterial artificial chromosome (BAC) libraries of the garlic cultivar Allium sativum L. 'Danyang' were constructed using high molecular weight (HMW) garlic DNA, the pBAC1-SACB1 vector, and the pIndigoBAC536 vector. The average insert size of the BAC library was about 90 kb. The sequence compositions of the BAC clones were characterized by Southern hybridization with garlic genomic DNA and a repetitive sequence clone of garlic. Two BAC clones with weak signals (thus implying mostly unique sequences), GBC2-5e and GBC2-4d, were selected for FISH analysis. FISH analysis localized the GBC2-5e (approximately 100 kb) BAC clone on the long arm of garlic chromosome 7. The other BAC clone, GBC2-4d (approximately 110 kb), gave rise to discrete FISH signals on a mid-size early metaphase chromosome. The FISH screening with BAC clones proved to be a useful resource for molecular cytogenetic studies of garlic, and will be useful for further mapping and sequencing studies of important genes of this plant.

Blotting, Southern↗

A human-curated annotation of the Candida albicans genome.

Recent sequencing and assembly of the genome for the fungal pathogen Candida albicans used simple automated procedures for the identification of putative genes. We have reviewed the entire assembly, both by hand and with additional bioinformatic resources, to accurately map and describe 6,354 genes and to identify 246 genes whose original database entries contained sequencing errors (or possibly mutations) that affect their reading frame. Comparison with other fungal genomes permitted the identification of numerous fungus-specific genes that might be targeted for antifungal therapy. We also observed that, compared to other fungi, the protein-coding sequences in the C. albicans genome are especially rich in short sequence repeats. Finally, our improved annotation permitted a detailed analysis of several multigene families, and comparative genomic studies showed that C. albicans has a far greater catabolic range, encoding respiratory Complex 1, several novel oxidoreductases and ketone body degrading enzymes, malonyl-CoA and enoyl-CoA carriers, several novel amino acid degrading enzymes, a variety of secreted catabolic lipases and proteases, and numerous transporters to assimilate the resulting nutrients. The results of these efforts will ensure that the Candida research community has uniform and comprehensive genomic information for medical research as well as for future diagnostic and therapeutic applications.

Journal Article↗

Karyotypic dissection of Hodgkin's disease cell lines reveals ectopic subtelomeres and ribosomal DNA at sites of multiple jumping translocations and genomic amplification.

Although the neoplastic significance of the chromosome changes widespread in Hodgkin's disease (HD) remains obscure, a distinct cytogenetic picture has emerged combining aneuploidy with structural rearrangements clustered at certain breakpoints. Notably absent are the recurrent chromosome translocations which distinguish other hematopoietic neoplasms and serve as clues to underlying oncogene alterations. The paucity of neoplastic cells in HD biopsies hinders detailed chromosome analysis. As an alternative, we investigated a panel of well characterized cell lines by classical and molecular cytogenetics, using single-gene and subtelomeric probes, including three autologous HD examples (HDLM-1/2/3) analyzed by 'spectral karyotyping' - the first complete HD karyotype to be documented. Although complex, most rearrangements in HDLM cells arose in vivo and included few rare but many typical HD breakpoints, notably at the r(ibosomal)DNA regions. Two types of genomic rearrangement involving DNA repeats were conspicuous: insertion and genomic amplification/coamplification of rDNA-the first genomic rDNA rearrangements to be reported in a tumor cell, and the first example of multiple 'jumping translocations' (JT). Of four subtelomeric microsatellite repeats tested in HDLM cells, three exhibited interstitial sites at JT, of which two (at 5qter and 9pter) were respectively associated with deletion of the 5q31-32 myeloid region, and coamplification of a recently described HD-recurrent amplicon at 9p2 together with transcriptionally silent rDNA. Altogether, three out of four HD cell lines carried interstitial 9p subtelomeres and rDNA rearrangements. Taken together, these data suggest tumorigenic rearrangements may be facilitated by 'hitchhiking' along with mobile DNA repeat sequences which may target gene rearrangement at 9p in HD. Southern analysis of parallel rearrangements within rDNA intergenic spacers in HDLM cells highlighted several at, or near, retroposons. As well as validating HD cell lines as cytogenetic models, and resources for identifying genes rearranged in HD, our findings warrant further investigation of the roles of DNA repeat sequences, notably subtelomeric microsatellites, rDNA spacer sequences and retroposons as facilitators and markers of tumor-gene rearrangement.

Base Sequence↗

Drosophila melanogaster: a case study of a model genomic sequence and its consequences.

The sequencing and annotation of the Drosophila melanogaster genome, first published in 2000 through collaboration between Celera Genomics and the Drosophila Genome Projects, has provided a number of important contributions to genome research. By demonstrating the utility of methods such as whole-genome shotgun sequencing and genome annotation by a community "jamboree," the Drosophila genome established the precedents for the current paradigm used by most genome projects. Subsequent releases of the initial genome sequence have been improved by the Berkeley Drosophila Genome Project and annotated by FlyBase, the Drosophila community database, providing one of the highest-quality genome sequences and annotations for any organism. We discuss the impact of the growing number of genome sequences now available in the genus on current Drosophila research, and some of the biological questions that these resources will enable to be solved in the future.

Animals↗

Functional characterization of polymorphisms in the kidney enhancer of the human renin gene.

The renin gene is regulated by an enhancer located 2.6 kb upstream of the transcription start site in the mouse and 11 kb upstream in humans. Despite extensive sequence conservation, the mouse renin enhancer is transcriptionally more active than the human renin enhancer. We report that the mechanism accounting for this is a result of sequence variation in the promoter proximal half-site of a retinoic-acid response element present in the enhancer. This sequence difference also prompted us to search for naturally occurring polymorphisms in the renin enhancer among normal and hypertensive human subjects. We sequenced the kidney enhancer from 90 samples derived from the Coriell Polymorphism Discovery Resource and 95 severely hypertensive Caucasian and African-American individuals. A single relatively frequent polymorphism (7, 2, and 7%, respectively in the Coriell, African-American, and Caucasian) was identified in the enhancer, one nucleotide downstream of the promoter distal half-site of the retinoic-acid response element. This variant was transcriptionally silent in transfection assays performed in renin-expressing As4.1 cells, a model of renal juxtaglomerular cells. A singleton polymorphism in the promoter was also identified in a single African-American individual. This polymorphism was located between binding sites for CBF1 and homeobox D10 but was also transcriptionally silent either in the presence or absence of the enhancer. Our study demonstrates the presence of silent polymorphisms in the renin promoter and enhancer, thus underscoring the critical importance of performing functional analyses before initiating expensive clinical studies seeking association between polymorphisms and complex diseases such as hypertension.

Animals↗

Reference-Free Variant Calling with Local Graph Construction with ska lo (SKA).

The study of genomic variants is increasingly important for public health surveillance of pathogens. Traditional variant-calling methods from whole-genome sequencing data rely on reference-based alignment, which can introduce biases and require significant computational resources. Alignment- and reference-free approaches offer an alternative by leveraging k-mer-based methods, but existing implementations often suffer from sensitivity limitations, particularly in high mutation density genomic regions. Here, we present ska lo, a graph-based algorithm that aims to identify within-strain variants in pathogen whole-genome sequencing data by traversing a colored De Bruijn graph and building variant groups (i.e. sets of variant combinations). Through in silico benchmarking and real-world dataset analyses, we demonstrate that ska lo achieves high sensitivity in single-nucleotide polymorphism (SNP) calls while also enabling the detection of insertions and deletions, as well as SNP positioning on a reference genome for recombination analyses. These findings highlight ska lo as a simple, fast, and effective tool for pathogen genomic epidemiology, extending the range of reference-free variant-calling approaches. ska lo is freely available as part of the SKA program (https://github.com/bacpop/ska.rust).

Polymorphism, Single Nucleotide↗

MACSIMS: multiple alignment of complete sequences information management system.

BACKGROUND: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as genomics, proteomics or transcriptomics. New information management systems are now needed for the collection, validation and analysis of the vast amount of heterogeneous data available. Multiple alignments of complete sequences provide an ideal environment for the integration of this information in the context of the protein family. RESULTS: MACSIMS is a multiple alignment-based information management program that combines the advantages of both knowledge-based and ab initio sequence analysis methods. Structural and functional information is retrieved automatically from the public databases. In the multiple alignment, homologous regions are identified and the retrieved data is evaluated and propagated from known to unknown sequences with these reliable regions. In a large-scale evaluation, the specificity of the propagated sequence features is estimated to be >99%, i.e. very few false positive predictions are made. MACSIMS is then used to characterise mutations in a test set of 100 proteins that are known to be involved in human genetic diseases. The number of sequence features associated with these proteins was increased by 60%, compared to the features available in the public databases. An XML format output file allows automatic parsing of the MACSIM results, while a graphical display using the JalView program allows manual analysis. CONCLUSION: MACSIMS is a new information management system that incorporates detailed analyses of protein families at the structural, functional and evolutionary levels. MACSIMS thus provides a unique environment that facilitates knowledge extraction and the presentation of the most pertinent information to the biologist. A web server and the source code are available at http://bips.u-strasbg.fr/MACSIMS/.

Algorithms↗

The mouse genome.

The house mouse has been used as a privileged model organism since the early days of genetics, and the numerous experiments made with this small mammal have regularly contributed to enrich our knowledge of mammalian biology and pathology, ranging from embryonic development to metabolic disease, histocompatibility, immunology, behavior, and cancer. Over the past two decades, a number of large-scale integrated and concerted projects have been undertaken that will probably open a new era in the genetics of the species. The sequencing of the genome, which will allow researchers to make comparisons with other mammals and identify regions conserved by evolution, is probably the most important project, but many other initiatives, such as the massive production of point or chromosomal mutations associated with comprehensive and standardized phenotyping of the mutant phenotypes, will help annotation of the approximately 25,000 genes packed in the mouse genome. In the same way, and as another consequence of the sequencing, the discovery of many single nucleotide polymorphisms and the development of new tools and resources, like the Collaborative Cross, will contribute to the development of modern quantitative genetics. It is clear that mouse genetics has changed dramatically over the last 10-15 years and its future looks promising.

Animals↗

Columba: an integrated database of proteins, structures, and annotations.

BACKGROUND: Structural and functional research often requires the computation of sets of protein structures based on certain properties of the proteins, such as sequence features, fold classification, or functional annotation. Compiling such sets using current web resources is tedious because the necessary data are spread over many different databases. To facilitate this task, we have created COLUMBA, an integrated database of annotations of protein structures. DESCRIPTION: COLUMBA currently integrates twelve different databases, including PDB, KEGG, Swiss-Prot, CATH, SCOP, the Gene Ontology, and ENZYME. The database can be searched using either keyword search or data source-specific web forms. Users can thus quickly select and download PDB entries that, for instance, participate in a particular pathway, are classified as containing a certain CATH architecture, are annotated as having a certain molecular function in the Gene Ontology, and whose structures have a resolution under a defined threshold. The results of queries are provided in both machine-readable extensible markup language and human-readable format. The structures themselves can be viewed interactively on the web. CONCLUSION: The COLUMBA database facilitates the creation of protein structure data sets for many structure-based studies. It allows to combine queries on a number of structure-related databases not covered by other projects at present. Thus, information on both many and few protein structures can be used efficiently. The web interface for COLUMBA is available at http://www.columba-db.de.

Base Sequence↗

Genome analysis of marine photosynthetic microbes and their global role.

Four recently completed genome projects on marine Cyanobacteria have started the age of comparative genomics for marine microbes. Cyanobacteria are a group of photoautotrophic bacteria that have traditionally been under-represented in studies of complete genome sequences, as have microbes from the marine environment in general. The new genome information is of crucial importance to understanding their role in oceanic primary production, global carbon cycling and functioning of the biosphere. Marine microbes are a still almost untapped resource for the identification of novel beneficial metabolites and activities. The availability of an increasing number of genome sequences will eventually lead to a sustained development of marine biotechnology.

Bacteriophages↗

Common data model for neuroscience data and data model exchange.

OBJECTIVE: Generalizing the data models underlying two prototype neurophysiology databases, the authors describe and propose the Common Data Model (CDM) as a framework for federating a broad spectrum of disparate neuroscience information resources. DESIGN: Each component of the CDM derives from one of five superclasses-data, site, method, model, and reference-or from relations defined between them. A hierarchic attribute-value scheme for metadata enables interoperability with variable tree depth to serve specific intra- or broad inter-domain queries. To mediate data exchange between disparate systems, the authors propose a set of XML-derived schema for describing not only data sets but data models. These include biophysical description markup language (BDML), which mediates interoperability between data resources by providing a meta-description for the CDM. RESULTS: The set of superclasses potentially spans data needs of contemporary neuroscience. Data elements abstracted from neurophysiology time series and histogram data represent data sets that differ in dimension and concordance. Site elements transcend neurons to describe subcellular compartments, circuits, regions, or slices; non-neuroanatomic sites include sequences to patients. Methods and models are highly domain-dependent. CONCLUSIONS: True federation of data resources requires explicit public description, in a metalanguage, of the contents, query methods, data formats, and data models of each data resource. Any data model that can be derived from the defined superclasses is potentially conformant and interoperability can be enabled by recognition of BDML-described compatibilities. Such metadescriptions can buffer technologic changes.

Animals↗

The PRINTS database of protein fingerprints: a novel information resource for computational molecular biology.

PRINTS is a compendium of protein motif fingerprints derived from the OWL composite sequence database. Fingerprints are groups of motifs within sequence alignments whose conserved nature allows them to be used as signatures of family membership. Fingerprints inherently offer improved diagnostic reliability over single motif methods by virtue of the mutual context provided by motif neighbors. To date, 650 fingerprints have been constructed and stored in PRINTS, the size of which has doubled in the last 2 years. The current version, 14.0, encodes 3500 motifs, covering a range of globular and membrane proteins, modular polypeptides, and so on. The database is now accessible via the UCL Bioinformatics Server on http:@ www.biochem.ucl.ac.uk/bsm/dbbrowser/. We describe here progress with the database, its compilation and interrogation software, and its Web interface.

Amino Acid Sequence↗

CSRDB: a small RNA integrated database and browser resource for cereals.

Plant small RNAs (smRNAs), which include microRNAs (miRNAs), short interfering RNAs (siRNAs) and trans-acting siRNAs (ta-siRNAs), are emerging as significant components of epigenetic processes and of gene networks involved in development and in homeostasis. Here we present a bioinformatics resource for cereal crops, the Cereal Small RNA Database (CSRDB), consisting of large-scale datasets of maize and rice smRNA sequences generated by high-throughput pyrosequencing. The smRNA sequences have been mapped to the rice genome and to the available maize genome sequence and these results are presented in two genome browser datasets using the Generic Genome Browser. Potential RNA targets for the smRNAs have been predicted and access to the resulting smRNA/RNA target pair dataset has been made available through a MySQL based relational database. Various ways to access the data are provided including links from the genome browser to the target database. Data linking and integration are the main focus for this interface, and internal as well as external links are present. The resource is available at http://sundarlab.ucdavis.edu/smrnas/ and will be updated as more sequences become available.

Databases, Nucleic Acid↗