Rearranged gene order between pig and human in a quantitative trait loci region on SSC3

A quantitative trait locus (QTL) for ovulation rate on chromosome 3 that peaks at 36 cM has been identified in a Meishan-White composite resource population with an additive effect of 2.2 corpora lutea. As part of an effort to identify the responsible gene(s), typing of additional genes on the INRA-University of Minnesota porcine radiation hybrid (IMpRH) map of SSC3 and comparative analysis of gene order was conducted. We placed 52 known genes and expressed sequence tags, two BAC-end sequences and one microsatellite (SB42) on a framework map that fills gaps on previous RH maps. Data were analysed for two-point and multipoint linkage with the IMpRH mapping tool and were submitted to the IMpRH database (http://imprh.toulouse.inra.fr/). Gene order was confirmed for 42 loci residing in the QTL region (spanning c. 17 Mb of human sequence) by using the high-resolution IMpRH2 panel. Carthagène (http://www.inra.fr/internet/departments/MIA/T/CarthaGene) was used to estimate multipoint marker distance and order using all public markers on SSC3 in the IMpRH database and those typed in this study. For the high-resolution map, only data for markers typed in both panels were used. Comparative analysis of human and porcine maps identified conservation of gene order for SSC3q and multiple blocks of conserved segments for SSC3p, which included six distinct segments of HSA7 and two segments of HSA16. The results of this study allow significant refinement of the SSC3p region that contains an ovulation rate QTL.     

Generation and characterization of a 12,000-rad radiation hybrid panel for fine mapping in pig

We have constructed a 12,000-rad porcine whole-genome radiation hybrid panel to complement the first generation 7,000-rad panel (IMpRH) and allow higher resolution mapping studies both in specific areas of interest and on the whole genome. We analyzed 243 hybrid clones on the basis of their marker retention frequency to produce a final panel of 90 hybrid clones with an average retention frequency of 35.4%. The resolution of this 12,000-rad panel (IMNpRH2) was compared to the resolution of the 7,000-rad panel (IMpRH) by constructing framework maps in the 2.4-Mb region of porcine chromosome 15 containing the acid meat RN gene. In this region, two-point analysis was used to estimate RH distances and demonstrates their reliability with the estimation of physical distances. This study demonstrates that the 12,000-rad panel constitutes a powerful tool for constructing high-resolution maps. Indeed, the resolution of IMNpRH2 (12-14 kb/cR(12,000)) is two to three times more than that of IMpRH (35-37 kb/cR(7,000)). As expected, the increase in the radiation dose allows an increase of the mapping resolution in terms of kb/cR with the same suppleness of use for mapping experiments. In addition the RH map constructed in the region investigated proved to be more homogeneous on IMNpRH2 than on IMpRH.     

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     

Contribution to high-resolution mapping in pigs with 101 type I markers and progress in comparative map between humans and pigs

Abstract In the frame of the European program GenetPig, we localized on the Pig map 105 coding sequences (type I markers) from different origins, using INRA-University of Minnesota porcine Radiation Hybrid Panel (IMpRH, 101 markers) and somatic cell hybrid panel (SCHP, 93 markers, of which only four were not also mapped using IMpRH). Thus, we contributed to the improvement of the porcine high-resolution map, and we complemented the integration between the RH and cytogenetic maps. IMpRH tools allowed us to map 101 new markers relatively to reference markers of the first generation radiation hybrid map. Ninety out of 101 markers are linked to an already mapped marker with a LOD score greater than 4.8. Seventy-eight markers were informative for comparative mapping. Comparison of marker positions on the RH map with those obtained on the cytogenetic map or those expected by Human-Pig comparative map data suggested to us to be cautious with markers linked with a LOD lower than 6. These results allowed us to specify chromosomal fragments well conserved between humans and pigs and also to suggest new correspondences (Sscr1-Hsap3, Sscr9-Hsap9, Sscr13-Hsap11, Sscr15-Hsap6) confirmed by FISH on pig chromosomes. We examined in more detail the comparative map between Hsap12 and Sscr5 considering gene order, which suggests that rearrangements have occurred within the conserved synteny.     

In the QTL region surrounding porcine MHC, gene order is conserved with human genome

On the porcine genome, the region surrounding the Major Histocompatibility Complex, also called Swine Leukocyte Antigens (SLA), is of particular interest not only owing to itq role in the control of immune response, but also because of its influence on many traits such as growth, fatness, and meat quality. To help in the identification of responsible genes, detailed comparative maps of the MHC region in mammalian species and powerful mapping tools allowing accurate ordering of genes and markers in this region are needed. In this report, we describe the use of the recently developed IMpRH radiation hybrid panel, to construct a higher density radiation hybrid map of swine Sscr 7p-q12, containing 23 additional loci. Our results show that the gene order is conserved between the two MHC-containing regions, even if an inversion is observed above the QTL region in the region containing DEK, SCA1, and EDN1 genes. The framework map produced shows that the IMpRH panel permits the ordering of genes and markers in the three MHC classes and would thus allow accurate localization of ESTs and candidate genes.     

GelScape: a web-based server for interactively annotating, manipulating, comparing and archiving 1D and 2D gel images

GelScape is a web-based tool that permits facile, interactive annotation, comparison, manipulation and storage of protein gel images. It uses Java applet-servlet technology to allow rapid, remote image handling and image processing in a platform-independent manner. It supports many of the features found in commercial, stand-alone gel analysis software including spot annotation, spot integration, gel warping, image resizing, HTML image mapping, image overlaying as well as the storage of gel image and gel annotation data in compliance with Federated Gel Database requirements.     

The GMOD Drupal bioinformatic server framework

MOTIVATION: Next-generation sequencing technologies have led to the widespread use of -omic applications. As a result, there is now a pronounced bioinformatic bottleneck. The general model organism database (GMOD) tool kit (http://gmod.org) has produced a number of resources aimed at addressing this issue. It lacks, however, a robust online solution that can deploy heterogeneous data and software within a Web content management system (CMS). RESULTS: We present a bioinformatic framework for the Drupal CMS. It consists of three modules. First, GMOD-DBSF is an application programming interface module for the Drupal CMS that simplifies the programming of bioinformatic Drupal modules. Second, the Drupal Bioinformatic Software Bench (biosoftware_bench) allows for a rapid and secure deployment of bioinformatic software. An innovative graphical user interface (GUI) guides both use and administration of the software, including the secure provision of pre-publication datasets. Third, we present genes4all_experiment, which exemplifies how our work supports the wider research community. Conclusion: Given the infrastructure presented here, the Drupal CMS may become a powerful new tool set for bioinformaticians. The GMOD-DBSF base module is an expandable community resource that decreases development time of Drupal modules for bioinformatics. The biosoftware_bench module can already enhance biologists' ability to mine their own data. The genes4all_experiment module has already been responsible for archiving of more than 150 studies of RNAi from Lepidoptera, which were previously unpublished. Availability and implementation: Implemented in PHP and Perl. Freely available under the GNU Public License 2 or later from http://gmod-dbsf.googlecode.com.     

Assignment of 280 swine genomic inserts including 31 microsatellites from BAC clones to the swine RH map (IMpRH map)

A precise genetic map containing anonymous markers and genes is indispensable for the efficient selection of candidate gene(s) responsible for quantitative trait loci (QTL) traits. For this purpose, a first version of a radiation hybrid cell (RH) map has been constructed by using the INRA-University of Minnesota RH panel for 757 markers (IMpRH) (Hawken et al. 1999, Mamm. Genome 10: 824–830). In this study, 280 swine genomic fragments in BAC clones were assigned to the IMpRH map; 255 BAC clones were successfully linked to first-generation linkage groups (LOD > 4.8). The remaining 25 clones could not be mapped, because their lod-scores to the closest markers in the first generation map were less than 4.8. In addition, 16 BAC clones, mapped to swine Chromosome (Chr) 1 by IMpRH mapping, were subjected to isolation of microsatellites (MSs). Thirty-one MSs were isolated from 15 BAC clones, and 24 of 31 (77%) MSs derived from 14 clones were found to be polymorphic. We also mapped both termini of 12 BAC clones to the IMpRH map, in order to measure resolution of the IMpRH map; the resolution was found to range from 8 kb/centiRay to more than 126 kb/centiRay depending on the region. Received: 21 June 2001 / Accepted: 28 September 2001     

Directed isolation and mapping of microsatellites from swine Chromosome 1q telomeric region through microdissection and RH mapping

Several quantitative trait loci (QTLs) (vertebrate number, birth weight, age at puberty, growth rate, gestation length, and backfat depth) have been independently mapped to the distal region of swine Chromosome (SSC) 1q in several resource populations. In order to improve the map resolution and refine these QTLs more precisely on SSC1q, we have isolated and mapped additional microsatellites (ms), using chromosome microdissection and radiation hybrid (RH) mapping. Five copies of the telomeric region of SSC1q were microdissected from metaphase spreads and pooled. The chromosomal fragment DNA was randomly amplified by using degenerate oligonucleotide primed polymerase chain reaction (DOP-PCR), enriched for ms, and subcloned into a PCR vector. Screening of subsequent clones with ms probes identified 23 unique ms sequences. Fifteen of these (65%) were subjected to radiation hybrid (RH) mapping by using the INRA-University of Minnesota porcine RH panel (IMpRH); and the remaining eight were not suited for the RH mapping. Twelve microsatellites were assigned to SSC1q telomeric region of IMpRH map (LOD >6), and three remain unlinked (LOD <6). Out of the 15 microsatellite markers, 9 were polymorphic in NIAI reference population based on the Meishan and G?ttingen miniature pig. In summary, we have used microdissection and radiation hybrid mapping to clone and map 12 new microsatellites to the swine gene map to increase the resolution of SSC1q in the region of known QTLs. Received: 19 December 2000 / Accepted: 28 February 2001     

An improved version of the DNA Methylation database (MethDB)

Cytosine methylation is a characteristic property of prokaryotic and eukaryotic genomes. In the latter, it is indispensable for a healthy development of the organism and uncontrolled changes in the distribution of 5-methylcytosine (5mC) have been linked to severe disorders, in particular cancer. The growing scientific interest in DNA methylation has led to a considerable amount of data about this epigenetic phenomenon. In order to make these data readily available, we have established a dedicated database. The DNA Methylation database (MethDB) is currently the only public database for DNA methylation (http://www.methdb.net). This constantly growing database has become a key resource in the field of DNA methylation research. The database contains currently methylation patterns, profiles and total methylation content data for 46 species, 160 tissues and 72 phenotypes coming from a total of 6667 experiments (as of September 4, 2002). About 14% of the data have not been published elsewhere. These data can be conveniently searched and represented in different ways. Recently, we have included an on-line submission tool that permits the scientific public to directly enter new data into MethDB.     

A physical map of large segments of pig Chromosome 7q11–q14: comparative analysis with human Chromosome 6p21

The aim of this study was to establish a porcine physical map along the chromosome SSC7q by construction of BAC contigs between microsatellites Sw1409 and S0102. The SLA class II contig, located on SSC7q, was lengthened. Four major BAC contigs and 10 short contigs span a region equivalent to 800 cR measured by IMpRH7000 mapping. The BAC contigs were initiated by PCR screening with primers derived from human orthologous segments, extended by chromosome walking, and controlled and oriented by RH mapping with the two available panels, IMpRH7000Rad and IMNpRH12000Rad. The location of 43 genes was revealed by sequenced segments, either from BAC ends or PCR products from BAC clones. The 220 BAC end sequences (BES) were also used to analyze the different marks of evolution. Comparative mapping analysis between pigs and humans demonstrated that the gene organization on HSA6p21 and on SSC7p11 and q11-q14 segments was conserved during evolution, with the exception of long fragments of HSA6p12 which shuffled and spliced the SLA extended class II region. Additional punctual variations (unique gene insertion/deletion) were observed, even within conserved segments, revealing the evolutionary complexity of this region. In addition, 18 new polymorphic microsatellites have been selected in order to cover the entire SSC7p11-q14 region.     

Gene Class expression: analysis tool of Gene Ontology terms with gene expression data

Serial analysis of gene expression (SAGE) technology produces large sets of interesting genes that are difficult to analyze directly. Bioinformatics tools are needed to interpret the functional information in these gene sets. We present an interactive web-based tool, called Gene Class, which allows functional annotation of SAGE data using the Gene Ontology (GO) database. This tool performs searches in the GO database for each SAGE tag, making associations in the selected GO category for a level selected in the hierarchy. This system provides user-friendly data navigation and visualization for mapping SAGE data onto the gene ontology structure. This tool also provides graphical visualization of the percentage of SAGE tags in each GO category, along with confidence intervals and hypothesis testing.     

iProphet: multi-level integrative analysis of shotgun proteomic data improves peptide and protein identification rates and error estimates

The combination of tandem mass spectrometry and sequence database searching is the method of choice for the identification of peptides and the mapping of proteomes. Over the last several years, the volume of data generated in proteomic studies has increased dramatically, which challenges the computational approaches previously developed for these data. Furthermore, a multitude of search engines have been developed that identify different, overlapping subsets of the sample peptides from a particular set of tandem mass spectrometry spectra. We present iProphet, the new addition to the widely used open-source suite of proteomic data analysis tools Trans-Proteomics Pipeline. Applied in tandem with PeptideProphet, it provides more accurate representation of the multilevel nature of shotgun proteomic data. iProphet combines the evidence from multiple identifications of the same peptide sequences across different spectra, experiments, precursor ion charge states, and modified states. It also allows accurate and effective integration of the results from multiple database search engines applied to the same data. The use of iProphet in the Trans-Proteomics Pipeline increases the number of correctly identified peptides at a constant false discovery rate as compared with both PeptideProphet and another state-of-the-art tool Percolator. As the main outcome, iProphet permits the calculation of accurate posterior probabilities and false discovery rate estimates at the level of sequence identical peptide identifications, which in turn leads to more accurate probability estimates at the protein level. Fully integrated with the Trans-Proteomics Pipeline, it supports all commonly used MS instruments, search engines, and computer platforms. The performance of iProphet is demonstrated on two publicly available data sets: data from a human whole cell lysate proteome profiling experiment representative of typical proteomic data sets, and from a set of Streptococcus pyogenes experiments more representative of organism-specific composite data sets.     

Mapping by sequencing the Pneumocystis genome using the ordering DNA sequences V3 tool

A bioinformatics tool called ODS3 has been created for mapping by sequencing. The tool allows the creation of integrated genomic maps from genetic, physical mapping, and sequencing data and permits an integrated genome map to be stored, retrieved, viewed, and queried in a stand-alone capacity, in a client/server relationship with the Fungal Genome Database (FGDB), and as a web-browsing tool for the FGDB. In that ODS3 is programmed in Java, the tool promotes platform independence and supports export of integrated genome-mapping data in the extensible markup language (XML) for data interchange with other genome information systems. The tool ODS3 is used to create an initial integrated genome map of the AIDS-related fungal pathogen, Pneumocystis carinii. Contig dynamics would indicate that this physical map is approximately 50% complete with approximately 200 contigs. A total of 10 putative multigene families were found. Two of these putative families were previously characterized in P. carinii, namely the major surface glycoproteins (MSGs) and HSP70 proteins; three of these putative families (not previously characterized in P. carinii) were found to be similar to families encoding the HSP60 in Schizosaccharomyces pombe, the heat-shock psi protein in S. pombe, and the RNA synthetase family (i.e., MES1) in Saccharomyces cerevisiae. Physical mapping data are consistent with the 16S, 5.8S, and 26S rDNA genes being single copy in P. carinii. No other fungus outside this genus is known to have the rDNA genes in single copy.     

The alpha/beta fold family of proteins database and the cholinesterase gene server ESTHER.

ESTHER (for esterases, alpha/betahydrolase enzyme and relatives) is a database of sequences phylogenetically related to cholinesterases. These sequences define a homogeneous group of enzymes (carboxylesterases, lipases and hormone-sensitive lipases) sharing a similar structure of a central beta-sheet surrounded by alpha-helices. Among these proteins a wide range of functions can be found (hydrolases, adhesion molecules, hormone precursors). The purpose of ESTHER is to help comparison of structures and functions of members of the family. Since the last release, new features have been added to the server. A BLAST comparison tool allows sequence homology searches within the database sequences. New sections are available: kinetics and inhibitors of cholinesterases, fasciculin-acetylcholinesterase interaction and a gene structure review. The mutation analysis compilation has been improved with three-dimensional images. A mailing list has been created.     

A first-generation EST RH comparative map of the porcine and human genome

We have constructed a first-generation EST radiation hybrid comparative map of the porcine genome by assigning 1058 markers to the IMpRH7000 panel. Chromosomal localization was determined with a 2pt LOD of 4.8 for 984 markers, using the IMpRH mapping tool. Annotated ESTs represent 46.2% or 489 of the markers. Marker distribution was not stochastic and ranged from 0.41 for SSC8 to 1.77 for SSC12, respectively. Two hundred fifty-one markers assigned to the physical map of the pig did not find a homologous sequence in V22 of the human genome assembly, indicative of gaps in the assembled human genome sequence. The comparative porcine/human map covers 3290 MB, or 98.3% of the presumed size of the human genome. However, 60 breakpoints were identified between chromosomes, as well as 90 micro-rearrangements within synteny groups. Six porcine chromosomes—SSC2, 5, 6, 7, 12, and 14—correspond to the three gene-richest human chromosomes, HSA17, 19, and 22, and show above average marker density. Porcine Chrs 1, 8, 11, and X display a low DNA/marker ratio and correspond to the 'genome deserts' on HSA 18, 4, 13, and X.     

GRIMM: genome rearrangements web server

SUMMARY: Genome Rearrangements In Man and Mouse (GRIMM) is a tool for analyzing rearrangements of gene orders in pairs of unichromosomal and multichromosomal genomes, with either signed or unsigned gene data. Although there are several programs for analyzing rearrangements in unichromosomal genomes, this is the first to analyze rearrangements in multichromosomal genomes. GRIMM also provides a new algorithm for analyzing comparative maps for which gene directions are unknown. AVAILABILITY: A web server, with instructions and sample data, is available at http://www-cse.ucsd.edu/groups/bioinformatics/GRIMM.     

CRH_Server: an online comparative and radiation hybrid mapping server for the canine genome

SUMMARY: CRH_Server is an on line Comparative and Radiation Hybrid mapping Server dedicated to canine genomics. CRH_Server allows users to compute their own RH data using the current canine RH map, and allows comparative dog/human mapping analyses. Finally, it suggests multiple options for storage and queries of the dog RH database. AVAILABILITY: http://idefix.univ-rennes1.fr:8080/Dogs/rh-server.html. SUPPLEMENTARY INFORMATION: All information is available at http://idefix.univ-rennes1.fr:8080/Dogs/help_rh-server.html.