PHOG: a database of supergenomes built from proteome complements

Area of Science:

• Comparative genomics
• Evolutionary biology
• Bioinformatics

Background:

• Orthologs and paralogs are fundamental concepts in comparative genomics.
• Current methods for identifying these gene relationships often lack automation and rigorous evolutionary grounding.

Purpose of the Study:

• To develop a fully automated procedure for resolving orthologous and paralogous relationships.
• To establish a robust evolutionary framework for gene relationship identification.
• To create a comprehensive database of Phylogenetic Orthologous Groups (PHOGs).

Main Methods:

• Developed an automated procedure to generate clusters of orthologous groups (PHOGs) at each taxonomic tree node.
• Constructed an 'ancestral' sequence for each cluster from multiple gene alignments.
• Applied the procedure to 50 species across bacteria, archaea, and eukaryotes.

Main Results:

• Successfully generated a tree of orthologous groups.
• Obtained 51,367 PHOGs at the root node of the taxonomy tree.
• Demonstrated the ability to process numerous genomes automatically.

Conclusions:

• The PHOG database enables automated reconstruction of orthologous and paralogous relationships using a rigorous evolutionary approach.
• This database serves as a valuable resource for comparative genomics research.
• The method is scalable to any number of sequenced genomes.