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.
journal_name
BMC Bioinformaticsjournal_title
BMC bioinformaticsauthors
Kelly WP,Stumpf MPdoi
10.1186/1471-2105-11-470subject
Has Abstractpub_date
2010-09-20 00:00:00pages
470issn
1471-2105pii
1471-2105-11-470journal_volume
11pub_type
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