webFOG: A web tool to map genomic features onto genes

A large number of new genomic features are being discovered using high throughput techniques. The next challenge is to automatically map them to the reference genome for further analysis and functional annotation. We have developed a tool that can be used to map important genomic features to the latest version of the human genome and also to annotate new features. These genomic features could be of many different source types, including miRNAs, microarray primers or probes, Chip-on-Chip data, CpG islands and SNPs to name a few. A standalone version and web interface for the tool can be accessed through: http://populationhealth.qimr.edu.au/cgi-bin/webFOG/index.cgi. The project details and source code is also available at http://www.bioinformatics.org/webfog.     

Analysis of gene expression data using self-organizing maps.

DNA microarray technologies together with rapidly increasing genomic sequence information is leading to an explosion in available gene expression data. Currently there is a great need for efficient methods to analyze and visualize these massive data sets. A self-organizing map (SOM) is an unsupervised neural network learning algorithm which has been successfully used for the analysis and organization of large data files. We have here applied the SOM algorithm to analyze published data of yeast gene expression and show that SOM is an excellent tool for the analysis and visualization of gene expression profiles.     

The Arabidopsis TAC Position Viewer: a high‐resolution map of transformation‐competent artificial chromosome (TAC) clones aligned with the Arabidopsis thaliana Columbia‐0 genome

We present a high‐resolution map of genomic transformation‐competent artificial chromosome (TAC) clones extending over all Arabidopsis thaliana (Arabidopsis) chromosomes. The Arabidopsis genomic TAC clones have been valuable genetic tools. Previously, we constructed an Arabidopsis genomic TAC library consisting of more than 10 000 TAC clones harboring large genomic DNA fragments extending over the whole Arabidopsis genome. Here, we determined 13 577 end sequences from 6987 Arabidopsis TAC clones and mapped 5937 TAC clones to precise locations, covering approximately 90% of the Arabidopsis chromosomes. We present the large‐scale data set of TAC clones with high‐resolution mapping information as a Java application tool, the Arabidopsis TAC Position Viewer, which provides ready‐to‐go transformable genomic DNA clones corresponding to certain loci on Arabidopsis chromosomes. The TAC clone resources will accelerate genomic DNA cloning, positional walking, complementation of mutants and DNA transformation for heterologous gene expression.     

InterStoreDB:A Generic Integration Resource for Genetic and Genomic Data

Associating phenotypic traits and quantitative trait loci (QTL) to causative regions of the underlying genome is a key goal in agricultural research.InterStoreDB is a suite of integrated databases designed to assist in this process.The individual databases are species independent and generic in design,providing access to curated datasets relating to plant populations,phenotypic traits,genetic maps,marker loci and QTL,with links to functional gene annotation and genomic sequence data.Each component database provides access to associated metadata,including data provenance and parameters used in analyses,thus providing users with information to evaluate the relative worth of any associations identified.The databases include CropStoreDB,for management of population,genetic map,QTL and trait measurement data,SeqStoreDB for sequence-related data and AlignStoreDB,which stores sequence alignment information,and allows navigation between genetic and genomic datasets.Genetic maps are visualized and compared using the CMAP tool,and functional annotation from sequenced genomes is provided via an EnsEMBL-based genome browser.This framework facilitates navigation of the multiple biological domains involved in genetics and genomics research in a transparent manner within a single portal.We demonstrate the value of InterStoreDB as a tool for Brassica research.InterStoreDB is available from:http://www.interstoredb.org     

Toward integration of comparative genetic, physical, diversity, and cytomolecular maps for grasses and grains, using the sorghum genome as a foundation

The small genome of sorghum (Sorghum bicolor L. Moench.) provides an important template for study of closely related large-genome crops such as maize (Zea mays) and sugarcane (Saccharum spp.), and is a logical complement to distantly related rice (Oryza sativa) as a "grass genome model." Using a high-density RFLP map as a framework, a robust physical map of sorghum is being assembled by integrating hybridization and fingerprint data with comparative data from related taxa such as rice and using new methods to resolve genomic duplications into locus-specific groups. By taking advantage of allelic variation revealed by heterologous probes, the positions of corresponding loci on the wheat (Triticum aestivum), rice, maize, sugarcane, and Arabidopsis genomes are being interpolated on the sorghum physical map. Bacterial artificial chromosomes for the small genome of rice are shown to close several gaps in the sorghum contigs; the emerging rice physical map and assembled sequence will further accelerate progress. An important motivation for developing genomic tools is to relate molecular level variation to phenotypic diversity. "Diversity maps," which depict the levels and patterns of variation in different gene pools, shed light on relationships of allelic diversity with chromosome organization, and suggest possible locations of genomic regions that are under selection due to major gene effects (some of which may be revealed by quantitative trait locus mapping). Both physical maps and diversity maps suggest interesting features that may be integrally related to the chromosomal context of DNA-progress in cytology promises to provide a means to elucidate such relationships. We seek to provide a detailed picture of the structure, function, and evolution of the genome of sorghum and its relatives, together with molecular tools such as locus-specific sequence-tagged site DNA markers and bacterial artificial chromosome contigs that will have enduring value for many aspects of genome analysis.     

Effect of storage and processing on plasmid, yeast and plant genomic DNA stability in juice from genetically modified oranges

Recombinant DNA technology is an important tool in the development of plant varieties with new favourable features. There is strong opposition towards this technology due to the potential risk of horizontal gene transfer between genetically modified plant material and food-associated bacteria, especially if genes for antibiotic resistance are involved. Since horizontal transfer efficiency depends on size and length of homologous sequences, we investigated the effect of conditions required for orange juice processing on the stability of DNA from three different origins: plasmid DNA, yeast genomic DNA and endogenous genomic DNA from transgenic sweet orange (C. sinensis L. Osb.). Acidic orange juice matrix had a strong degrading effect on plasmid DNA which becomes apparent in a conformation change from supercoiled structure to nicked, linear structure within 5h of storage at 4 degrees C. Genomic yeast DNA was degraded during exposure to acidic orange juice matrix within 4 days, and also the genomic DNA of C. sinensis suffered degradation within 2 days of storage as indicated by amplification results from transgene markers. Standard pasteurization procedures affected DNA integrity depending on the method and time used. Our data show that the current standard industrial procedures to pasteurize orange juice as well as its acidic nature causes a strong degradation of both yeast and endogenous genomic DNA below sizes reported to be suitable for horizontal gene transfer.     

TreeSeq,a Fast and Intuitive Tool for Analysis of Whole Genome and Metagenomic Sequence Data

Next-generation sequencing is not yet commonly used in clinical laboratories because of a lack of simple and intuitive tools. We developed a software tool (TreeSeq) with a quaternary tree search structure for the analysis of sequence data. This permits rapid searches for sequences of interest in large datasets. We used TreeSeq to screen a gut microbiota metagenomic dataset and a whole genome sequencing (WGS) dataset of a strain of Klebsiella pneumoniae for antibiotic resistance genes and compared the results with BLAST and phenotypic resistance determination. TreeSeq was more than thirty times faster than BLAST and accurately detected resistance gene sequences in complex metagenomic data and resistance genes corresponding with the phenotypic resistance pattern of the Klebsiella strain. Resistance genes found by TreeSeq were visualized as a gene coverage heat map, aiding in the interpretation of results. TreeSeq brings analysis of metagenomic and WGS data within reach of clinical diagnostics.     

BGVD:An Integrated Database for Bovine Sequencing Variations and Selective Signatures

Next-generation sequencing has yielded a vast amount of cattle genomic data for global characterization of population genetic diversity and identification of genomic regions under natural and artificial selection. However, efficient storage, querying, and visualization of such large datasets remain challenging. Here, we developed a comprehensive database, the Bovine Genome Variation Database (BGVD). It provides six main functionalities: gene search, variation search, genomic signature search, Genome Browser, alignment search tools, and the genome coordinate conversion tool. BGVD contains information on genomic variations comprising ~60.44 M SNPs, ~6.86 M indels, 76,634 CNV regions, and signatures of selective sweeps in 432 samples from modern cattle worldwide. Users can quickly retrieve distribution patterns of these variations for 54 cattle breeds through an interactive source of breed origin map, using a given gene symbol or genomic region for any of the three versions of the bovine reference genomes (ARS-UCD1.2, UMD3.1.1, and Btau 5.0.1). Signals of selection sweep are displayed as Manhattan plots and Genome Browser tracks. To further investigate and visualize the relationships between variants and signatures of selection, the Genome Browser integrates all variations, selection data, and resources, from NCBI, the UCSC Genome Browser, and Animal QTLdb. Collectively, all these features make the BGVD a useful archive for in-depth data mining and analyses of cattle biology and cattle breeding on a global scale. BGVD is publicly available at http://animal.nwsuaf.edu.cn/BosVar.     

Comparative mapping between humans and pigs: localization of 58 anchorage markers (TOASTs) by use of porcine somatic cell and radiation hybrid panels

To increase the number of Type I markers that are directly informative for comparative mapping, 58 anchorage markers, TOASTs (Traced Orthologous Amplified Sequence Tags), were mapped in pig. With specific consensus primers, 76 TOASTs were tested in pig: 50 were regionally localized in pig on a somatic cell hybrid panel (SCHP), and 51 were mapped on the whole genome, INRA/University of Minnesota porcine Radiation Hybrid panel (IMpRH). Comparison of marker positions on RH and cytogenetic maps indicated general concordance except for two chromosomal regions. For RH mapping, all markers, apart from one, were significantly linked (LOD > 4.8) to a marker of the first-generation radiation hybrid map. Localization of new markers on the initial map is necessary for drawing a framework map as shown for Chromosome Sscr 14. The addition of four TOASTs has enabled us to propose an improved map, using a threshold likelihood ratio of 1000/1. At the whole-genome level, this work significantly increased (by 50%) the number of precisely mapped genes on the porcine RH map and confirmed that the IMpRH panel is a valuable tool for high-resolution gene mapping in pig. Porcine PCR products were sequenced and compared with human sequences to verify their identity. Most of the localizations made it possible to either confirm or refine the previous comparative data between humans and pigs obtained through heterologous chromosomal painting or gene mapping. Moreover, the use of TOASTs in mapping studies appears to be a complement to other strategies using CATS, human ESTs, or heterologous FISH with BACs which had already been applied to improve the gene density of comparative genomic maps for mammals. Received: 15 March 2000 / Accepted: 27 July 2000     

The Homeodomain Resource: sequences, structures and genomic information.

The Homeodomain Resource is a comprehensive collection of sequence, structure and genomic information on the homeodomain protein family. Available through the Resource are both full-length and domain-only sequence data, as well as X-ray and NMR structural data for proteins and protein-DNA complexes. Also available is information on human genetic diseases and disorders in which proteins from the homeodomain family play an important role; genomic information includes relevant gene symbols, cytogenetic map locations, and specific mutation data. Search engines are provided to allow users to easily query the component databases and assemble specialized data sets. The Homeodomain Resource is available through the World Wide Web at http://genome.nhgri.nih.gov/homeodomain     

A linkage map of the zebra finch Taeniopygia guttata provides new insights into avian genome evolution

Passeriformes are the largest order of birds and one of the most widely studied groups in evolutionary biology and ecology. Until recently genomic tools in passerines relied on chicken genomic resources. Here we report the construction and analysis of a whole-genome linkage map for the zebra finch (Taeniopygia guttata) using a 354-bird pedigree. The map contains 876 SNPs dispersed across 45 linkage groups and we found only a few instances of interchromosomal rearrangement between the zebra finch and the chicken genomes. Interestingly, there was a greater than expected degree of intrachromosomal rearrangements compared to the chicken, suggesting that gene order is not conserved within avian chromosomes. At 1068 cM the map is approximately only one quarter the length of the chicken linkage map, providing further evidence that the chicken has an unusually high recombination rate. Male and female linkage-map lengths were similar, suggesting no heterochiasmy in the zebra finch. This whole-genome map is the first for any passerine and a valuable tool for the zebra finch genome sequence project and for studies of quantitative trait loci.     

BlastXtract--a new way of exploring translated searches

SUMMARY: Searches of translated, unannotated genomic DNA sequences against protein databases is a useful early-stage method for discovering protein homologues encoded by the sequence, but generates huge amounts of output data that quickly become impregnable. BlastXtract is a web-based tool for managing and visualizing results from large translated BLAST and FastA searches. It combines the speed and storage benefits of relational database management systems with an easy-to-use graphical navigation map, and greatly facilitates the early exploration of genomic sequence. AVAILABILITY: BlastXtract can be downloaded from http://bioinfo.ucc.ie/blastxtract/.     

Physical and radiation hybrid mapping of canine chromosome 12, in a region corresponding to human chromosome 6p12-q12

The positional cloning of the hypocretin receptor 2, the gene for autosomal recessive canine narcolepsy, has led to the development of a physical map spanning a large portion of canine chromosome 12 (CFA12), in a region corresponding to human chromosome 6p12-q13. More than 40 expressed sequence tags (ESTs) were used in homology search experiments, together with chromosome walking, to build both physical and radiation hybrid maps of the CFA12 13-21 region. The resulting map of bacterial artificial chromosome ends, ESTs, and microsatellite markers represents the longest continuous high-density map of the dog genome reported to date. These data further establish the dog as a system for studying disease genes of interest to human populations and highlight feasible approaches for positional cloning of disease genes in organisms where genomic resources are limited.     

myKaryoView: a light-weight client for visualization of genomic data

The Distributed Annotation System (DAS) is a protocol for easy sharing and integration of biological annotations. In order to visualize feature annotations in a genomic context a client is required. Here we present myKaryoView, a simple light-weight DAS tool for visualization of genomic annotation. myKaryoView has been specifically configured to help analyse data derived from personal genomics, although it can also be used as a generic genome browser visualization. Several well-known data sources are provided to facilitate comparison of known genes and normal variation regions. The navigation experience is enhanced by simultaneous rendering of different levels of detail across chromosomes. A simple interface is provided to allow searches for any SNP, gene or chromosomal region. User-defined DAS data sources may also be added when querying the system. We demonstrate myKaryoView capabilities for adding user-defined sources with a set of genetic profiles of family-related individuals downloaded directly from 23andMe. myKaryoView is a web tool for visualization of genomic data specifically designed for direct-to-consumer genomic data that uses publicly available data distributed throughout the Internet. It does not require data to be held locally and it is capable of rendering any feature as long as it conforms to DAS specifications. Configuration and addition of sources to myKaryoView can be done through the interface. Here we show a proof of principle of myKaryoView's ability to display personal genomics data with 23andMe genome data sources. The tool is available at: http://mykaryoview.com.     

The scanning probe microscope as a novel genomic analysis tool

We have developed a novel and efficient genomic analysis tool that combines scanning probe microscopy (SPM) and image processing with molecular biology techniques to accelerate genomic research. To examine the correlation between chromosome volume and DNA content, we scanned human metaphase chromosome sets with an atomic force microscope to examine the chromosome volume distribution. We found that the chromosome volume distribution agreed with DNA length distribution (obtained from a public database), and that the short arm to long arm volume ratio showed good agreement with the genomic position of the centromere. We were also able to predict the genomic position of an arbitrary gene marker with high accuracy by combining a scanning near-field optical/atomic force microscope and image processing techniques using fluorescence in situ hybridization. Thus, a novel SPM-based system developed here will be an effective tool to rapidly and accurately map DNA markers and construct physical map, which contributes to the advancement of genomic science.     

Linkage of amelogenin (Amel) to the distal portion of the mouse X chromosome.

Amelogenins are hydrophobic, proline-rich proteins that are the primary biosynthetic products of ameloblasts. These cells are responsible for the formation of tooth enamel, and amelogenins play an important role in the process of biomineralization. A cDNA, corresponding to the mouse 26-kDa amelogenin, has been molecularly cloned and sequenced. Southern blot analysis of genomic DNA from the mouse using this cDNA as a probe indicates that there is only one mouse amelogenin (Amel) gene. This paper describes restriction site variation for the Amel gene that we have identified between C57BL/6 and M. spretus and the segregation of that variation as an X-chromosome gene. The position of the amelogenin locus (Amel) relative to the loci for alpha-galactosidase (Ags), proteolipoprotein (Plp), and the random genomic probe DXWas31 has been determined. Amel is established as: (1) the most distal locus in the genetic map of the mouse X chromosome, (2) lying proximal to the X:Y pairing region, and (3) being restricted to the mouse X chromosome.