COGEME
COGEME (Comparative Genomics for Eukaryotic Microbes) provides a database of 57,727 unique expressed sequence tags (ESTs) from 15 phytopathogenic and 3 saprophytic fungal species to support comparative genomic analyses that identify genetic differences related to fungal pathogenicity.
Key Features:
- Extensive EST collection: The database contains 57,727 unique ESTs derived from 15 phytopathogenic and 3 saprophytic fungal species.
- Comparative genomic analysis: Integrates EST data with completed fungal genome sequences to enable investigation of genetic similarities and differences between pathogenic and non‑pathogenic fungi.
- Functional gene group identification: Facilitates identification of functional gene groups enriched in phytopathogenic fungi that may correspond to virulence factors or pathogenic mechanisms.
- Obligate biotroph divergence: EST analysis indicates that the obligate biotroph Blumeria graminis f. sp. hordei shares fewer sequences with filamentous ascomycetes and contains a higher proportion of uncharacterized unique sequences.
Scientific Applications:
- Pathogen research: Enables exploration of the molecular basis of fungal pathogenicity and host interaction by identifying candidate genes associated with disease.
- Genomic comparisons: Supports comparative genomics studies contrasting gene expression profiles between phytopathogenic and saprophytic species.
- Functional genomics: Assists discovery of potential antifungal targets by highlighting functional groups of genes enriched in phytopathogens.
Methodology:
Comparative analyses integrate EST data with completed fungal genome sequences to assess genetic similarities and differences and to identify conserved and unique gene sequences across species.
Topics
Collections
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 9/11/2015
- Last Updated:
- 11/24/2024
Operations
Publications
SOANES DM, TALBOT NJ. Comparative genomic analysis of phytopathogenic fungi using expressed sequence tag (EST) collections. Molecular Plant Pathology. 2005;7(1):61-70. doi:10.1111/j.1364-3703.2005.00317.x. PMID:20507428.
PMID: 20507428