12 research outputs found

    A comparative map viewer integrating genetic maps for Brassica and Arabidopsis

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    Background: Molecular genetic maps provide a means to link heritable traits with underlying genome sequence variation. Several genetic maps have been constructed for Brassica species, yet to date, there has been no simple means to compare this information or to associate mapped traits with the genome sequence of the related model plant, Arabidopsis. Description: We have developed a comparative genetic map database for the viewing, comparison and analysis of Brassica and Arabidopsis genetic, physical and trait map information. This web- based tool allows users to view and compare genetic and physical maps, search for traits and markers, and compare genetic linkage groups within and between the amphidiploid and diploid Brassica genomes. The inclusion of Arabidopsis data enables comparison between Brassica maps that share no common markers. Analysis of conserved syntenic blocks between Arabidopsis and collated Brassica genetic maps validates the application of this system. This tool is freely available over the internet on http://bioinformatics.pbcbasc.latrobe.edu.au/cmap. Conclusion: This database enables users to interrogate the relationship between Brassica genetic maps and the sequenced genome of A. thaliana, permitting the comparison of genetic linkage groups and mapped traits and the rapid identification of candidate genes

    SSRPrimer and SSR Taxonomy Tree: Biome SSR discovery

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    Simple sequence repeat (SSR) molecular genetic markers have become important tools for a broad range of applications such as genome mapping and genetic diversity studies. SSRs are readily identified within DNA sequence data and PCR primers can be designed for their amplification. These PCR primers frequently cross amplify within related species. We report a web-based tool, SSR Primer, that integrates SPUTNIK, an SSR repeat finder, with Primer3, a primer design program, within one pipeline. On submission of multiple FASTA formatted sequences, the script screens each sequence for SSRs using SPUTNIK. Results are then parsed to Primer3 for locus specific primer design. We have applied this tool for the discovery of SSRs within the complete GenBank database, and have designed PCR amplification primers for over 13 million SSRs. The SSR Taxonomy Tree server provides web-based searching and browsing of species and taxa for the visualisation and download of these SSR amplification primers. These tools are available at

    BASC: an integrated bioinformatics system for Brassica research

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    The BASC system provides tools for the integrated mining and browsing of genetic, genomic and phenotypic data. This public resource hosts information on Brassica species supporting the Multinational Brassica Genome Sequencing Project, and is based upon five distinct modules, ESTDB, Microarray, MarkerQTL, CMap and EnsEMBL. ESTDB hosts expressed gene sequences and related annotation derived from comparison with GenBank, UniRef and the genome sequence of Arabidopsis. The Microarray module hosts gene expression information related to genes annotated within ESTDB. MarkerQTL is the most complex module and integrates information on genetic markers, maps, individuals, genotypes and traits. Two further modules include an Arabidopsis EnsEMBL genome viewer and the CMap comparative genetic map viewer for the visualization and integration of genetic and genomic data. The database is accessible at

    Comparison of transcription of multiple genes at three developmental stages of the plant pathogen Sclerotinia sclerotiorum

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    The ascomycete Sclerotinia sclerotiorum is a plant pathogen with a very broad host range. In order to identify and characterize genes involved in S. sclerotiorum infection of Brassica napus (canola), expressed sequence tags (ESTs) were examined from libraries prepared from three tissues: complex appressorium (infection cushions), mycelia grown on agar and lesions formed on leaves of B. napus. A high proportion of genes (68%) had not been previously reported for S. sclerotiorum in public gene or EST databases. The types of novel genes identified in the infection cushion library highlights the functional specificity of these structures and similarities to appressoria in other fungal pathogens. Quantitative real-time PCR was used to analyse tissue specificity and timing of transcription of genes with best matches to MAS3 (appressoria-associated protein from Magnaporthe grisea), cellobiohydrolase I, oxaloacetate acetylhydrolase, metallothionein, pisatin demethylase, and an unknown gene with orthologs in fungal pathogens but not in saprophytic fungi
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