Phylogenomics of Orthologous Protein Families in Prokaryotes: Comparison of Evolutionary Profiles
The sequence similarity relationships between the members of a protein family contain information on its evolutionary history, such as the relative time of horizontal transfer events, and the differential acceleration or deceleration of evolution in particular organisms in response
to selective pressures. This paper presents a quantitative representation and comparison of evolutionary profiles of proteins, and finds correlations between evolutionary profile similarities and evolutionary or functional links between proteins. Using a dataset of 84 orthologous protein families
ubiquitous in prokaryotes, we obtain the evolutionary profile of each family as a vector of inter-sequence distances. We then compare the family-specific evolutionary vectors and quantitate the evolutionary similarity between families. Two primary methods for vector comparison were used, namely
the angle between vectors and correlation distance between vectors. Both approaches are powerful enough to recognize known evolutionary similarities, and yield similar inter-family relationships, but they also display important differences. These differences are shown to exist because the
two methods recognize different aspects of the evolutionary profile. The inter-vector angle is an effective measure of the difference in the overall form of phylogenetic trees even in cases where the topology of the tree is not well-defined, whereas the correlation distance is especially effective
in recognizing similarities in topology. When the protein families are clustered based on either the angle or the correlation distance between them, the cluster dendrogram shows a core cluster consisting of ancient protein families with the standard phylogeny. In addition, evolutionary profile
comparison also detects plausible evolutionary similarities between unannotated proteins and proteins of known function. For instance, the bacterial yjeF gene and the ygjD/ydiE gene are both predicted to be involved in cell envelope biogenesis. In summary, we describe quantitative comparisons
of protein family specific evolutionary profiles, and illustrate their power in detecting broader evolutionary trends and specific functional relationships between proteins.
Keywords: Comparative bioinformatics; functional motifs; phylogenetic methods; prokaryotic evolution; sequence profiles
Document Type: Research Article
Publication date: 01 April 2014
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