Literature DB >> 15805015

The effect of paralogous lineages on the application of reconciliation analysis by cophylogeny mapping.

Andrew Jackson1.   

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.

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Year:  2005        PMID: 15805015     DOI: 10.1080/10635150590905911

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  7 in total

1.  The first complete papillomavirus genome characterized from a marsupial host: a novel isolate from Bettongia penicillata.

Authors:  Mark D Bennett; Andrea Reiss; Hans Stevens; Elisabeth Heylen; Marc Van Ranst; Adrian Wayne; Michael Slaven; Jennifer N Mills; Kristin S Warren; Amanda J O'Hara; Philip K Nicholls
Journal:  J Virol       Date:  2010-03-03       Impact factor: 5.103

2.  Phylogeny and evolution of papillomaviruses based on the E1 and E2 proteins.

Authors:  Ignacio G Bravo; Angel Alonso
Journal:  Virus Genes       Date:  2006-08-22       Impact factor: 2.332

3.  Using time-structured data to estimate evolutionary rates of double-stranded DNA viruses.

Authors:  Cadhla Firth; Andrew Kitchen; Beth Shapiro; Marc A Suchard; Edward C Holmes; Andrew Rambaut
Journal:  Mol Biol Evol       Date:  2010-04-02       Impact factor: 16.240

4.  Introducing TreeCollapse: a novel greedy algorithm to solve the cophylogeny reconstruction problem.

Authors:  Benjamin Drinkwater; Michael A Charleston
Journal:  BMC Bioinformatics       Date:  2014-12-08       Impact factor: 3.169

5.  Isolation of three novel rat and mouse papillomaviruses and their genomic characterization.

Authors:  Eric Schulz; Marc Gottschling; Rainer G Ulrich; Dania Richter; Eggert Stockfleth; Ingo Nindl
Journal:  PLoS One       Date:  2012-10-15       Impact factor: 3.240

6.  Different papillomaviruses have different repertoires of transcription factor binding sites: convergence and divergence in the upstream regulatory region.

Authors:  Santiago García-Vallvé; José R Iglesias-Rozas; Angel Alonso; Ignacio G Bravo
Journal:  BMC Evol Biol       Date:  2006-03-09       Impact factor: 3.260

7.  Identification and isolation of a novel herpesvirus in a captive mob of eastern grey kangaroos (Macropus giganteus).

Authors:  Joseph A Smith; James F X Wellehan; Roman M Pogranichniy; April L Childress; Jennifer A Landolfi; Karen A Terio
Journal:  Vet Microbiol       Date:  2007-11-23       Impact factor: 3.293

  7 in total

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