Genome SEGE: a database for 'intronless' genes in eukaryotic genomes

Area of Science:

• Genomics
• Bioinformatics
• Evolutionary Biology

Background:

• Publicly available eukaryotic genome data include both intron-containing and intronless genes.
• Intronless genes are valuable for comparative genomics and evolutionary studies.
• Existing databases like SEGE, derived from GenBank, suffer from data redundancy and heterogeneity, hindering research.

Purpose of the Study:

• To construct Genome SEGE, a curated database of intronless genes from completely sequenced eukaryotic genomes.
• To provide representative and high-quality datasets for comparative genomics and evolutionary research.
• To overcome the limitations of GenBank-derived data for biological investigations.

Main Methods:

• Extraction of eukaryotic intronless genes from nine fully sequenced genomes (four unicellular, five multicellular).
• Inclusion of data subsets for intronless pseudogenes.
• Development of a web server with search functionality, including pre-computed PROSITE motifs linked to InterPro.

Main Results:

• Genome SEGE offers a unique service providing representative intronless gene datasets from complete genomes.
• The database details the distribution and length of intronless genes across different genomes.
• Data is available for download, including subsets for pseudogenes.

Conclusions:

• Genome SEGE provides a valuable, curated resource for comparative genomics and evolutionary studies.
• The database facilitates bio-computational analysis and may aid in re-examination and re-annotation of genome data.
• This resource addresses the need for reliable, representative gene sets in genomic research.