			Home About us Contact

Genome Sequence Information (genome + sequence_information)

Distribution by Scientific Domains

Life Sciences	75%

Selected Abstracts

Piloting the zebrafish genome browser

DEVELOPMENTAL DYNAMICS, Issue 3 2006
Anthony DiBiase
Abstract This correspondence is a primer for the zebrafish research community on zebrafish tracks available in the UCSC Genome Browser at http://genome.ucsc.edu based on Sanger's Zv4 assembly. A primary capability of this facility is comparative informatics between humans (as well as many other model organisms) and zebrafish. The zebrafish genome sequencing project has played important roles in mutant mapping and cloning, and comparative genomic research projects. This easy-to-use genome browser aims to display and download useful genome sequence information for zebrafish mutant mapping and cloning projects. Its user-friendly interface expedites annotation of the zebrafish genome sequence. Developmental Dynamics 235:747,753, 2006. © 2005 Wiley-Liss, Inc. [source]

Assessing the impact of transcriptomics, proteomics and metabolomics on fungal phytopathology

MOLECULAR PLANT PATHOLOGY, Issue 5 2009
KAR-CHUN TAN
SUMMARY Peer-reviewed literature is today littered with exciting new tools and techniques that are being used in all areas of biology and medicine. Transcriptomics, proteomics and, more recently, metabolomics are three of these techniques that have impacted on fungal plant pathology. Used individually, each of these techniques can generate a plethora of data that could occupy a laboratory for years. When used in combination, they have the potential to comprehensively dissect a system at the transcriptional and translational level. Transcriptomics, or quantitative gene expression profiling, is arguably the most familiar to researchers in the field of fungal plant pathology. Microarrays have been the primary technique for the last decade, but others are now emerging. Proteomics has also been exploited by the fungal phytopathogen community, but perhaps not to its potential. A lack of genome sequence information has frustrated proteomics researchers and has largely contributed to this technique not fulfilling its potential. The coming of the genome sequencing era has partially alleviated this problem. Metabolomics is the most recent of these techniques to emerge and is concerned with the non-targeted profiling of all metabolites in a given system. Metabolomics studies on fungal plant pathogens are only just beginning to appear, although its potential to dissect many facets of the pathogen and disease will see its popularity increase quickly. This review assesses the impact of transcriptomics, proteomics and metabolomics on fungal plant pathology over the last decade and discusses their futures. Each of the techniques is described briefly with further reading recommended. Key examples highlighting the application of these technologies to fungal plant pathogens are also reviewed. [source]

A workflow to increase the detection rate of proteins from unsequenced organisms in high-throughput proteomics experiments

PROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue 23 2007
Jonas Grossmann
Abstract We present and evaluate a strategy for the mass spectrometric identification of proteins from organisms for which no genome sequence information is available that incorporates cross-species information from sequenced organisms. The presented method combines spectrum quality scoring, de novo sequencing and error tolerant BLAST searches and is designed to decrease input data complexity. Spectral quality scoring reduces the number of investigated mass spectra without a loss of information. Stringent quality-based selection and the combination of different de novo sequencing methods substantially increase the catalog of significant peptide alignments. The de novo sequences passing a reliability filter are subsequently submitted to error tolerant BLAST searches and MS-BLAST hits are validated by a sampling technique. With the described workflow, we identified up to 20% more groups of homologous proteins in proteome analyses with organisms whose genome is not sequenced than by state-of-the-art database searches in an Arabidopsis thaliana database. We consider the novel data analysis workflow an excellent screening method to identify those proteins that evade detection in proteomics experiments as a result of database constraints. [source]

Detailed characterization of the porcine MC4R gene in relation to fatness and growth

ANIMAL GENETICS, Issue 4 2009
B. Fan
Summary In contrast to the human MC4R gene, where multiple variants have been described, several of which are associated with appetite and obesity, few MC4R variants have been reported in the pig. The most interesting polymorphism reported to date in the pig is p.Asp298Asn, which is significantly associated with variation in growth and fatness traits in most breeds and crosses. However, some reports have seemingly failed to confirm this association. The discrepancy of p.Asp298Asn associations in some pig populations suggested that further discovery of SNPs in MC4R would be useful. Utilizing the recently released pig genome sequence information, we obtained the whole MC4R genome sequence and detected five additional SNPs, a variable (CA)n repeat and a C indel in the ISU Berkshire × Yorkshire pig resource family. Linkage disequilibrium (LD) analysis revealed that the additional five SNPs were not in strong LD with p.Asp298Asn, but single marker association analysis indicated that they were significantly (P < 0.05) associated with fatness measures and very highly significantly (P < 0.0001) associated with average daily gain on test (ADGTEST). Three major haplotypes were identified and the subsequent association analyses suggested that the two non-synonymous SNPs had different effects, e.g. p.Arg236His influenced back fat and growth on test while p.Asp298Asn was primarily associated with variation in growth rate in this population. An interaction effect between these two SNPs was found for ADGTEST, which may partly explain some of the previous discrepancies reported for MC4R in different pig populations. Examination of the p.Arg236His polymorphism in populations where the effect of p.Asp298Asn is limited is warranted. [source]