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Comparative genomics of nematodes.

Recent transcriptome and genome projects have dramatically expanded the biological data available across the phylum Nematoda. Here we summarize analyses of these sequences, which have revealed multiple unexpected results. Despite a uniform body plan, nematodes are more diverse at the molecular level than was previously recognized, with many species- and group-specific novel genes. In the genus Caenorhabditis, changes in chromosome arrangement, particularly local inversions, are also rapid, with breakpoints occurring at 50-fold the rate in vertebrates. Tylenchid plant parasitic nematode genomes contain several genes closely related to genes in bacteria, implicating horizontal gene transfer events in the origins of plant parasitism. Functional genomics techniques are also moving from Caenorhabditis elegans to application throughout the phylum. Soon, eight more draft nematode genome sequences will be available. This unique resource will underpin both molecular understanding of these most abundant metazoan organisms and aid in the examination of the dynamics of genome evolution in animals.

Animals↗

Isochore chromosome maps of the human genome.

The human genome is a mosaic of isochores, which are long DNA segments (z.Gt;300 kbp) relatively homogeneous in G+C. Human isochores were first identified by density-gradient ultracentrifugation of bulk DNA, and differ in important features, e.g. genes are found predominantly in the GC-richest isochores. Here, we use a reliable segmentation method to partition the longest contigs in the human genome draft sequence into long homogeneous genome regions (LHGRs), thereby revealing the isochore structure of the human genome. The advantages of the isochore maps presented here are: (1) sequence heterogeneities at different scales are shown in the same plot; (2) pair-wise compositional differences between adjacent regions are all statistically significant; (3) isochore boundaries are accurately defined to single base pair resolution; and (4) both gradual and abrupt isochore boundaries are simultaneously revealed. Taking advantage of the wide sample of genome sequence analyzed, we investigate the correspondence between LHGRs and true human isochores revealed through DNA centrifugation. LHGRs show many of the typical isochore features, mainly size distribution, G+C range, and proportions of the isochore classes. The relative density of genes, Alu and long interspersed nuclear element repeats and the different types of single nucleotide polymorphisms on LHGRs also coincide with expectations in true isochores. Potential applications of isochore maps range from the improvement of gene-finding algorithms to the prediction of linkage disequilibrium levels in association studies between marker genes and complex traits. The coordinates for the LHGRs identified in all the contigs longer than 2 Mb in the human genome sequence are available at the online resource on isochore mapping: http://bioinfo2.ugr.es/isochores.

Alu Elements↗

Emerging systems: between vertebrates and arthropods, the Lophotrochozoa.

Novel molecular model organisms for the study of development and regeneration are emerging among the Lophotrochozoa, the third major branch of bilaterian animals. The polychaete Platynereis, the leech Helobdella, the snail Ilyanassa, and several planarians are efficiently accessed for molecular techniques including large-scale whole-mount in situ hybridization screening, RNA interference or morpholino knock-down. Joint efforts include the generation of genomic resources in the form of expressed sequence tag collections and bacterial artificial chromosome libraries. Current research focuses on early pattern formation during cleavage, the emergence and diversification of body segments, and the formation of photoreceptor cells and eyes. Several lophotrochozoan groups (in particular nereid polychaetes) exhibit modes of development, organ design, or body plans that are considered ancestral in many respects. This is also reflected in the level of genes, making these groups ideally suited for developmental comparative studies.

Animals↗

Protein profiling of human pancreatic islets by two-dimensional gel electrophoresis and mass spectrometry.

Completion of the human genome sequence has provided scientists with powerful resources with which to explore the molecular events associated with disease states such as diabetes. Understanding the relative levels of expression of gene products, especially of proteins, and their post-translational modifications will be critical. However, though the pancreatic islets play a key role in glucose homeostasis, global protein expression data in human are decidedly lacking. We here report the two-dimensional protein map and database of human pancreatic islets. A high level of reproducibility was obtained among the gels and a total of 744 protein spots were detected. We have successfully identified 130 spots corresponding to 66 different protein entries and generated a reference map of human islets. The functionally characterized proteins include enzymes, chaperones, cellular structural proteins, cellular defense proteins, signaling molecules, and transport proteins. A number of proteins identified in this study (e.g., annexin A2, elongation factor 1-alpha 2, histone H2B.a/g/k, heat shock protein 90 beta, heat shock 27 kDa protein, cyclophilin B, peroxiredoxin 4, cytokeratins 7, 18, and 19) have not been previously described in the database of mouse pancreatic islets. In addition, altered expression of several proteins, like GRP78, GRP94, PDI, calreticulin, annexin, cytokeratins, profilin, heat shock proteins, and ORP150 have been associated with the development of diabetes. The data presented in this study provides a first-draft reference map of the human islet proteome, that will pave the way for further proteome analysis of pancreatic islets in both healthy and diabetic individuals, generating insights into the pathophysiology of this condition.

Adult↗

Isolation of chromosome-specific paints from high-resolution flow karyotypes of the sheep (Ovis aries).

High-resolution bivariate flow karyotypes were obtained using fibroblast cell lines from a sheep with a normal karyotype (2n = 54), from sheep carrying Robertsonian translocation chromosomes and from sheep-hamster somatic cell hybrids. By taking advantage of the presence of chromosome polymorphisms, translocation chromosomes and sheep-hamster somatic cell hybrids, all sheep chromosomes were isolated by flow sorting. Chromosome-specific paints were generated from each sorted peak using degenerate oligonucleotide-primed polymerase chain reaction (DOP-PCR). The sheep chromosome present in each peak was identified by chromosome-specific microsatellite analysis of the DOP-PCR products and fluorescence in situ hybridization (FISH) onto DAPI-banded sheep metaphase chromosomes. The chromosome-specific DNA obtained in this study can be used for the production of genomic libraries and as a resource for mapping randomly cloned DNA sequences that will greatly aid the construction of genetic and physical maps in the sheep. The chromosome-specific paints will facilitate chromosome identification and contribute to the study of karyotype evolution in the sheep and related species.

Animals↗

BAC representation of two low-copy regions of the genome of Arabidopsis thaliana.

Two regions of Arabidopsis chromosome 4, totalling 4.7 Mb, were assayed for representation in the TAMU and IGF BAC libraries. A directed approach to BAC identification was developed. Gel-purified DNA samples of YACs selected from the YAC-based physical map of chromosome 4 were used to probe high-density colony arrays of the BAC libraries. Strategies were developed that allowed the efficient construction of restriction maps and BAC contigs. Four hundred and sixty-four BACs were mapped, assembled into two complete contigs and used to analyse genomic representation. These BACs provided a mean of 9.4-fold redundant coverage, with a range of 2- to 22-fold. The representation provided by the two libraries showed almost coincident peaks and troughs, with a periodicity of approximately 200 kb. These results demonstrate that, provided both TAMU and IGF libraries are used in their entirety, BACs should provide an excellent resource for both physical mapping and sequencing of the Arabidopsis genome.

Arabidopsis↗

An increased specificity score matrix for the prediction of SF2/ASF-specific exonic splicing enhancers.

Numerous disease-associated point mutations exert their effects by disrupting the activity of exonic splicing enhancers (ESEs). We previously derived position weight matrices to predict putative ESEs specific for four human SR proteins. The score matrices are part of ESEfinder, an online resource to identify ESEs in query sequences. We have now carried out a refined functional SELEX screen for motifs that can act as ESEs in response to the human SR protein SF2/ASF. The test BRCA1 exon under selection was internal, rather than the 3'-terminal IGHM exon used in our earlier studies. A naturally occurring heptameric ESE in BRCA1 exon 18 was replaced with two libraries of random sequences, one seven nucleotides in length, the other 14. Following three rounds of selection for in vitro splicing via internal exon inclusion, new consensus motifs and score matrices were derived. Many winner sequences were demonstrated to be functional ESEs in S100-extract-complementation assays with recombinant SF2/ASF. Motif-score threshold values were derived from both experimental and statistical analyses. Motif scores were shown to correlate with levels of exon inclusion, both in vitro and in vivo. Our results confirm and extend our earlier data, as many of the same motifs are recognized as ESEs by both the original and our new score matrix, despite the different context used for selection. Finally, we have derived an increased specificity score matrix that incorporates information from both of our SF2/ASF-specific matrices and that accurately predicts the exon-skipping phenotypes of deleterious point mutations.

Alternative Splicing↗

The MetaFam Server: a comprehensive protein family resource.

MetaFam is a comprehensive relational database of protein family information. This web-accessible resource integrates data from several primary sequence and secondary protein family databases. By pooling together the information from these disparate sources, MetaFam is able to provide the most complete protein family sets available. Users are able to explore the interrelationships among these primary and secondary databases using a powerful graphical visualization tool, MetaFamView. Additionally, users can identify corresponding sequence entries among the sequence databases, obtain a quick summary of corresponding families (and their sequence members) among the family databases, and even attempt to classify their own unassigned sequences. Hypertext links to the appropriate source databases are provided at every level of navigation. Global family database statistics and information are also provided. Public access to the data is available at http://metafam.ahc.umn.edu/.

Computational Biology↗

Theoretical and practical aspects of the quantification of biodiversity among microorganisms.

The quantification of biodiversity among microorganisms has to address both theoretical and practical aspects. Species concepts are often at variance with those applied in macroorganisms, and satisfactory concepts suitable for general use in bacteria and fungi have yet to be formulated. Molecular approaches have not yet provided a universal solution to this key issue. Quantification in habitats such as soil is difficult as isolation procedures yield only a small and skewed selection of the microorganisms present. Indices of taxonomic or phylogenetic diversity have potential in the quantification of microbial diversity at a range of ranks, but the non-equivalence of ranks and representatives of the taxa detected have to be addressed. Chemical and molecular methods have immense potential in the quantification of microbial diversity in environmental samples; 16S rRNA has shown particular promise with bacteria, but as yet the fungi lack a universal probe. A greater awareness of the limitations of existing approaches and methodologies used by microbiologists is needed, but significant progress can be anticipated as new technologies are developed and become more widely adopted.

Bacteria↗

Long-read sequencing of single cell-derived melanoma subclones reveals divergent and parallel genomic and epigenomic evolutionary trajectories.

Tumor evolution is driven by various mutational processes, ranging from single-nucleotide variants (SNVs) to large structural variants (SVs) to dynamic shifts in DNA methylation. Current short-read sequencing methods struggle to accurately capture the full spectrum of these genomic and epigenomic alterations due to inherent technical limitations. To overcome that, here we introduce an approach for long-read sequencing of single-cell derived subclones, and use it to profile 23 subclones of a mouse melanoma cell line, characterized with distinct growth phenotypes and treatment responses. We develop a computational framework for harmonization and joint analysis of different variant types in the evolutionary context. Uniquely, our framework enables detection of recurrent amplifications of putative driver genes, generated by independent SVs across different lineages, suggesting parallel evolution. In addition, our approach revealed gradual and lineage-specific methylation changes associated with aggressive clonal phenotypes. We also show our set of phylogeny-constrained variant calls along with openly released sequencing data can be a valuable resource for the development of new computational methods.

Journal Article↗

Cross-referencing eukaryotic genomes: TIGR Orthologous Gene Alignments (TOGA).

Comparative genomics promises to rapidly accelerate the identification and functional classification of biologically important human genes. We developed the TIGR Orthologous Gene Alignment (TOGA; ) database to provide a cross-reference between fully and partially sequenced eukaryotic transcribed sequences. Starting with the assembled expressed sequence tag (EST) and gene sequences that comprise the 28 TIGR Gene Indices, we used high-stringency pair-wise sequence searches and a reflexive, transitive closure process to associate sequence-specific best hits, generating 32,652 tentative ortholog groups (TOGs). This has allowed us to identify putative orthologs and paralogs for known genes, as well as those that exist only as uncharacterized ESTs and to provide links to additional information including genome sequence and mapping data. TOGA provides an important new resource for the analysis of gene function in eukaryotes. In addition, an analysis of the most widely represented sequences can begin to provide insight into eukaryotic biological processes.

Algorithms↗

Construction of a 2-Mb resolution BAC microarray for CGH analysis of canine tumors.

Recognition of the domestic dog as a model for the comparative study of human genetic traits has led to major advances in canine genomics. The pathophysiological similarities shared between many human and dog diseases extend to a range of cancers. Human tumors frequently display recurrent chromosome aberrations, many of which are hallmarks of particular tumor subtypes. Using a range of molecular cytogenetic techniques we have generated evidence indicating that this is also true of canine tumors. Detailed knowledge of these genomic abnormalities has the potential to aid diagnosis, prognosis, and the selection of appropriate therapy in both species. We recently improved the efficiency and resolution of canine cancer cytogenetics studies by developing a small-scale genomic microarray comprising a panel of canine BAC clones representing subgenomic regions of particular interest. We have now extended these studies to generate a comprehensive canine comparative genomic hybridization (CGH) array that comprises 1158 canine BAC clones ordered throughout the genome with an average interval of 2 Mb. Most of the clones (84.3%) have been assigned to a precise cytogenetic location by fluorescence in situ hybridization (FISH), and 98.5% are also directly anchored within the current canine genome assembly, permitting direct translation from cytogenetic aberration to DNA sequence. We are now using this resource routinely for high-throughput array CGH and single-locus probe analysis of a range of canine cancers. Here we provide examples of the varied applications of this resource to tumor cytogenetics, in combination with other molecular cytogenetic techniques.

Animals↗

Chromosomal assignment of chicken clone contigs by extending the consensus linkage map.

The bacterial artificial clone-based physical map for chicken plays an important role in the integration of the consensus linkage map and the whole-genome shotgun sequence. It also provides a valuable resource for clone selection within applications such as fluorescent in situ hybridization and positional cloning. However, a substantial number of clone contigs have not yet been assigned to a chromosomal location or have an ambiguous chromosome assignment. In this study, 86 single nucleotide polymorphism markers derived from 86 clones were mapped on the genetic map. These markers added anchoring information for 56 clone contigs and 13 individual clones, covering a total of 57,145 clones.

Animals↗

A population genetic comparison of argali sheep (Ovis ammon) in Mongolia using the ND5 gene of mitochondrial DNA; implications for conservation.

We sequenced 556 bp of the mitochondrial ND5 gene to infer aspects of population structure and to test subspecific designations of argali sheep (Ovis ammon) in Mongolia. Analysis of molecular variance (AMOVA) revealed greater variation within than among putative subspecies and populations, suggesting high levels female-mediated gene flow. Compared with bighorn sheep (O. canadensis) in North America, substantially less differentiation in mitochondrial DNA was found among argali populations over 1200 km than was found among bighorn populations over 250 km. This result is consistent with differences in argali and bighorn life history traits. Argali run for long distances across open terrain in the presence of a threat rather than running up into steep escape terrain like bighorn sheep do. Our results suggest recognizing only one Evolutionary Significant Unit (subspecies) of argali in Mongolia, but they may support recognizing two Management Units, because two regions do exhibit slightly different haplotype frequencies at the ND5 gene of mtDNA.

Analysis of Variance↗

Domestication history in the Medicago sativa species complex: inferences from nuclear sequence polymorphism.

DNA sequence polymorphism carries genealogical information and allows for testing hypotheses on selection and population history, especially through coalescent-based analysis. Understanding the evolutionary forces at work in plant domestication and subsequent selection is of critical importance for the management of genetic resources. In this study, we surveyed DNA sequence diversity at two assumed neutral nuclear loci in the wild-domesticated species complex of alfalfa (Medicago sativa L.). A high level of polymorphism was detected. The domesticated pool contains on average 31% less diversity than the wild pool, but with a high heterogeneity among loci. Coalescent simulations of the domestication process showed that this result cannot be explained by assuming a constant population size but is rather consistent with a demographic bottleneck during domestication. A very low level of divergence was detected between the wild and the domesticated forms as well as between the related subspecies of the M. sativa species complex. However, the originality of the Spanish wild populations, already observed based on mitochondrial DNA polymorphism, was confirmed. These results, together with patterns of intrapopulation polymorphism, suggest that nuclear sequence polymorphism could be a promising tool, complementary to mitochondrial DNA and phenotypic evaluations, to investigate historical demographic and evolutionary processes.

Biological Evolution↗

Mitochondrial DNA phylogeography of Lissotriton boscai (Caudata, Salamandridae): evidence for old, multiple refugia in an Iberian endemic.

In Europe, southern peninsulas served as refugia during cold periods in the Pleistocene, acting both as centres of origin of endemisms and as sources from which formerly glaciated areas were recolonized during interglacial periods. Previous studies have revealed that within the main refugial areas, intraspecific lineages often survived in allopatric refugia. We analysed two mitochondrial markers (nad4, control region, approximately 1.4 kb) in 103 individuals representing the entire distribution of Lissotriton boscai, a newt endemic to the western Iberian Peninsula. We inferred the evolutionary history of the species through phylogenetic, phylogeographic and historical demographic analyses. The results revealed unexpected, deep levels of geographically structured genetic variability. We identified two main evolutionary lineages, each containing three well-supported clades. The first historical split involved populations from central-southwestern coastal Portugal and the ancestor of all the remaining populations around 5.8 million years ago. Both lineages were subsequently fragmented into different population groups between 2.5 and 1.2 million years ago. According to nested clade analysis, at lower hierarchical levels the patterns suggest restricted gene flow with isolation by distance, whereas at higher levels the clades exhibit signatures of contiguous range expansion. Bayesian Skyline Plots show recent bottlenecks, followed by demographic expansions in all lineages. The significant genetic structure found is consistent with long-term survival of populations in allopatric refugia, supporting the 'refugia-within-refugia' scenario for southern European peninsulas. The comparison of our results with other co-distributed species highlights the generality of this hypothesis for the Iberian herpetofauna and suggests that Mediterranean refuges had more relevance for the composition and distribution of present biodiversity patterns than currently acknowledged. We briefly discuss the taxonomic and conservation implications of our results.

Animals↗

Windows .NET Network Distributed Basic Local Alignment Search Toolkit (W.ND-BLAST).

BACKGROUND: BLAST is one of the most common and useful tools for Genetic Research. This paper describes a software application we have termed Windows .NET Distributed Basic Local Alignment Search Toolkit (W.ND-BLAST), which enhances the BLAST utility by improving usability, fault recovery, and scalability in a Windows desktop environment. Our goal was to develop an easy to use, fault tolerant, high-throughput BLAST solution that incorporates a comprehensive BLAST result viewer with curation and annotation functionality. RESULTS: W.ND-BLAST is a comprehensive Windows-based software toolkit that targets researchers, including those with minimal computer skills, and provides the ability increase the performance of BLAST by distributing BLAST queries to any number of Windows based machines across local area networks (LAN). W.ND-BLAST provides intuitive Graphic User Interfaces (GUI) for BLAST database creation, BLAST execution, BLAST output evaluation and BLAST result exportation. This software also provides several layers of fault tolerance and fault recovery to prevent loss of data if nodes or master machines fail. This paper lays out the functionality of W.ND-BLAST. W.ND-BLAST displays close to 100% performance efficiency when distributing tasks to 12 remote computers of the same performance class. A high throughput BLAST job which took 662.68 minutes (11 hours) on one average machine was completed in 44.97 minutes when distributed to 17 nodes, which included lower performance class machines. Finally, there is a comprehensive high-throughput BLAST Output Viewer (BOV) and Annotation Engine components, which provides comprehensive exportation of BLAST hits to text files, annotated fasta files, tables, or association files. CONCLUSION: W.ND-BLAST provides an interactive tool that allows scientists to easily utilizing their available computing resources for high throughput and comprehensive sequence analyses. The install package for W.ND-BLAST is freely downloadable from http://liru.ars.usda.gov/mainbioinformatics.html. With registration the software is free, installation, networking, and usage instructions are provided as well as a support forum.

Algorithms↗

OMERACT 6 Economics Working Group report: a proposal for a reference case for economic evaluation in rheumatoid arthritis.

Standardization of methods for economic evaluation is essential for defining the methodological research agenda that will advance the discipline. Standardization also greatly facilitates the interpretation and comparison of the results of economic analyses. For these reasons, several jurisdictions now require economic evaluation, conducted according to standardized methodological guidelines, as a key ingredient in decision making for reimbursement of health treatments and technologies. The application of these general guidelines, however, can be difficult in the absence of disease-specific information. In the case of rheumatoid arthritis (RA), the recent emergence of innovative, highly effective, but also expensive treatments has created an immediate need to more fully understand the economic implications of RA treatments. With this background, the OMERACT Economics Working Group set out in 1994 to develop an RA-specific reference case for economic evaluation. This report summarizes the OMERACT process leading to specific recommendations on the 12 key elements of a proposed "reference case" for economic evaluation in RA. These elements include: study horizon, duration of therapy, extrapolation beyond trial duration, modeling beyond therapy, synthesis of comparisons where head-to-head trials do not exist, clinical outcome measures, mortality, valuation of health states, resource utilization, discontinuation of therapy, therapeutic sequence, and population risk stratification. Through these efforts, the OMERACT Economics Working Group aims to expedite and enhance the conduct and dissemination of methodological research in economic analyses in the rheumatic diseases.

Arthritis, Rheumatoid↗