Phylogenetic analysis of polyomaviruses based on their complete genomes


Autoria(s): Anh, Vo; Chu, K; Li, C; Yu, Zu-Guo; Zhou, Li-Qian
Contribuinte(s)

Kellenberger, P

Data(s)

2008

Resumo

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.

Identificador

http://eprints.qut.edu.au/30522/

Publicador

IEE Computer Society

Relação

DOI:10.1109/ICNC.2008.297

Anh, Vo, Chu, K, Li, C, Yu, Zu-Guo, & Zhou, Li-Qian (2008) Phylogenetic analysis of polyomaviruses based on their complete genomes. In Kellenberger, P (Ed.) Natural Computation, 2008. ICNC '08. Fourth International Conference on, IEE Computer Society, China, Shandong, Jinan, pp. 80-84.

Direitos

Copyright © 2008 IEEE

Fonte

Faculty of Science and Technology

Palavras-Chave #010402 Biostatistics #060102 Bioinformatics #Phylogeny of Polyomaviruses, Complete Genomes, Dynamical Language Model, Correlation Distance
Tipo

Conference Paper