Transcriptome and methylome profiling reveals relics of genome dominance in the mesopolyploid Brassica oleracea.

Background: Brassica oleracea is a valuable vegetable species that has contributed to human health and nutrition for hundreds of years and comprises multiple distinct cultivar groups with diverse morphological and phytochemical attributes. In addition to this phenotypic wealth, B. oleracea offers unique insights into polyploid evolution, as it results from multiple ancestral polyploidy events and a final Brassiceae-specific triplication event.

Plant database resources at The Institute for Genomic Research.

With the completion of the genome sequences of the model plants Arabidopsis and rice, and the continuing sequencing efforts of other economically important crop plants, an unprecedented amount of genome sequence data is now available for large-scale genomics studies and analyses, such as the identification and discovery of novel genes, comparative genomics, and functional genomics. Efficient utilization of these large data sets is critically dependent on the ease of access and organization of the data. The plant databases at The Institute for Genomic Research (TIGR) have been set up to maintain various data types including genomic sequence, annotation and analyses, expressed transcript assemblies and analyses, and gene expression profiles from microarray studies.

The TIGR Plant Transcript Assemblies database.

The TIGR Plant Transcript Assemblies (TA) database (http://plantta.tigr.org) uses expressed sequences collected from the NCBI GenBank Nucleotide database for the construction of transcript assemblies.

Databases and information integration for the Medicago truncatula genome and transcriptome.

An international consortium is sequencing the euchromatic genespace of Medicago truncatula. Extensive bioinformatic and database resources support the marker-anchored bacterial artificial chromosome (BAC) sequencing strategy. Existing physical and genetic maps and deep BAC-end sequencing help to guide the sequencing effort, while EST databases provide essential resources for genome annotation as well as transcriptome characterization and microarray design.