title: Trees on networks: resolving statistical patterns of phylogenetic similarities among interacting proteins.
abstract: BACKGROUND
  Phylogenies capture the evolutionary ancestry linking extant species. Correlations and similarities among a set of species are mediated by and need to be understood in terms of the phylogenic tree. In a similar way it has been argued that biological networks also induce correlations among sets of interacting genes or their protein products.
  
  
  RESULTS
  We develop suitable statistical resampling schemes that can incorporate these two potential sources of correlation into a single inferential framework. To illustrate our approach we apply it to protein interaction data in yeast and investigate whether the phylogenetic trees of interacting proteins in a panel of yeast species are more similar than would be expected by chance.
  
  
  CONCLUSIONS
  While we find only negligible evidence for such increased levels of similarities, our statistical approach allows us to resolve the previously reported contradictory results on the levels of co-evolution induced by protein-protein interactions. We conclude with a discussion as to how we may employ the statistical framework developed here in further functional and evolutionary analyses of biological networks and systems.
authors.affiliation: Centre for Bioinformatics, Imperial College, London, UK.
authors.forename: William P
authors.initials: WP
authors.lastname: Kelly
authors.forename: Michael P H
authors.initials: MP
authors.lastname: Stumpf
mesh_terms: D001686:Biological Phenomena; D002965:Classification / Q000379:methods; D030562:Databases, Protein; D019143:Evolution, Molecular; D015233:Models, Statistical; D010802:Phylogeny; D025941:Protein Interaction Mapping / Q000379:methods*; D011506:Proteins / Q000235:genetics*; D012441:Saccharomyces cerevisiae / Q000235:genetics
chemical_list: D011506:Proteins