title: The effect of paralogous lineages on the application of reconciliation analysis by cophylogeny mapping.
abstract: Paralogy defines similarity caused by duplication rather than common descent and is well known in the case of paralogous gene copies within a single genome. The term is here extended to paralogous lineages of associates within a single host. The phylogenies of four genera within the Herpesviridae were reconciled with host phylogenies using cophylogenetic mapping. The observed correspondence for each pair of phylogenies was evaluated through randomization of the viral phylogeny and demonstrated to be greater than expected by chance. A simulation study was then carried out to assess the influence of paralogous lineages on the efficacy of reconciliation analysis. Combining viral taxa from different genera that infected common hosts introduced incongruence into the cophylogenies and reduced both the minimum and maximum observed number of codivergence events relative to the initial analysis of orthologous clades. However, at an average sample size this did not alter the fundamental significance of observed correspondence. With smaller sample sizes, the number of orthologous taxa selected at random from the pool of taxa was reduced. False-negative results then increased in proportion from 0.02 to 0.33. These results demonstrated that reconciliation analysis is robust under conditions of paralogy at "normal" sample sizes but is adversely affected by a combination of paralogy and low sample size. Consideration of phylogenies for Papillomavirus, Atadenovirus, and Mastadenovirus suggest that paralogous lineages may be a widespread phenomenon among DNA viruses and that duplication irrespective of host speciation is an important cause of viral diversification.
authors.affiliation: Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, United Kingdom. Andrew.Jackson@zoo.ox.ac.uk
authors.forename: Andrew
authors.initials: A
authors.lastname: Jackson
mesh_terms: D000818:Animals; D002965:Classification / Q000379:methods*; D003198:Computer Simulation; D030561:Databases, Nucleic Acid; D019143:Evolution, Molecular; D006564:Herpesviridae / Q000235:genetics*; D006801:Humans; D016013:Likelihood Functions; D008322:Mammals / Q000235:genetics* / Q000821:virology; D008957:Models, Genetic; D010802:Phylogeny; D018401:Sample Size; D013045:Species Specificity; D013559:Symbiosis