CladeOScope: functional interactions through the prism of clade-wise co-evolution

Area of Science:

• Genomics
• Evolutionary Biology
• Bioinformatics

Background:

• Phylogenetic profiling (PP) is used to map co-evolved genes and infer functional relationships.
• Current PP methods analyzing all eukaryotes may miss clade-specific co-evolutionary signals.
• Understanding eukaryotic gene co-evolution remains incomplete.

Purpose of the Study:

• To test the hypothesis that 'Clades' (branches of the tree of life) harbor unique co-evolutionary signals.
• To demonstrate that integrating clade-specific information improves gene function prediction.
• To develop a method for modular co-evolution analysis across eukaryotic genomes.

Main Methods:

• Analysis of 1028 eukaryotic genomes across 66 clades.
• Application of the novel 'CladeOScope' phylogenetic profiling method.
• Examination of co-evolution patterns in the non-homologous end joining and UFM1 pathways.

Main Results:

• Co-evolutionary signals are often scattered and clade-specific, not universally detectable.
• Functionally related genes exhibit co-evolution within specific parts of the eukaryotic tree.
• Clades are complementary in identifying functional gene interactions within pathways.
• Distinct co-evolution patterns were observed for the non-homologous end joining and UFM1 pathways in specific clades.

Conclusions:

• Modular co-evolution analysis across clades is crucial for a comprehensive understanding of gene function and interactions.
• The 'CladeOScope' method enhances the detection of local co-evolutionary signals.
• This approach offers a novel perspective on eukaryotic gene co-evolution and functional inference.