Phylogenetic analysis of polyomaviruses based on their complete genomes

, Zhou, Li-Qian, Chu, K, Li, C, & (2008) Phylogenetic analysis of polyomaviruses based on their complete genomes. In Kellenberger, P (Ed.) The Proceedings of the Fourth International Conference on Natural Computation (ICNC 2008). IEE Computer Society, United States, pp. 80-84.

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Description

Perez-Losada et al. [1] analyzed 72 complete genomes corresponding to nine mammalian (67 strains) and 2 avian (5 strains) polyomavirus species using maximum likelihood and Bayesian methods of phylogenetic inference. Because some data of 2 genomes in their work are now not available in GenBank, in this work, we analyze the phylogenetic relationship of the remaining 70 complete genomes corresponding to nine mammalian (65 strains) and two avian (5 strains) polyomavirus species using a dynamical language model approach developed by our group (Yu et al., [26]). This distance method does not require sequence alignment for deriving species phylogeny based on overall similarities of the complete genomes. Our best tree separates the bird polyomaviruses (avian polyomaviruses and goose hemorrhagic polymaviruses) from the mammalian polyomaviruses, which supports the idea of splitting the genus into two subgenera. Such a split is consistent with the different viral life strategies of each group. In the mammalian polyomavirus subgenera, mouse polyomaviruses (MPV), simian viruses 40 (SV40), BK viruses (BKV) and JC viruses (JCV) are grouped as different branches as expected. The topology of our best tree is quite similar to that of the tree constructed by Perez-Losada et al.

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6 citations in Scopus
3 citations in Web of Science®
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ID Code: 30522
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
ORCID iD:
Anh, Voorcid.org/0000-0003-2463-2099
Measurements or Duration: 5 pages
Keywords: Complete Genomes, Correlation Distance, Dynamical Language Model, Phylogeny of Polyomaviruses
DOI: 10.1109/ICNC.2008.297
ISBN: 978-0-7695-3304-9/08
Pure ID: 33577544
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Research Centres > Australian Research Centre for Aerospace Automation
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 12 Feb 2010 12:38
Last Modified: 03 Mar 2024 10:18