Literature DB >> 7490773

Molecular evolution of the hepatitis B virus genome.

Z Yang1, I J Lauder, H J Lin.   

Abstract

The hepatitis B virus (HBV) has a circular DNA genome of about 3,200 base pairs. Economical use of the genome with overlapping reading frames may have led to severe constraints on nucleotide substitutions along the genome and to highly variable rates of substitution among nucleotide sites. Nucleotide sequences from 13 complete HBV genomes were compared to examine such variability of substitution rates among sites and to examine the phylogenetic relationships among the HBV variants. The maximum likelihood method was employed to fit models of DNA sequence evolution that can account for the complexity of the pattern of nucleotide substitution. Comparison of the models suggests that the rates of substitution are different in different genes and codon positions; for example, the third codon position changes at a rate over ten times higher than the second position. Furthermore, substantial variation of substitution rates was detected even after the effects of genes and codon positions were corrected; that is, rates are different at different sites of the same gene or at the same codon position. Such rates after the correction were also found to be positively correlated at adjacent sites, which indicated the existence of conserved and variable domains in the proteins encoded by the viral genome. A multiparameter model validates the earlier finding that the variation in nucleotide conservation is not random around the HBV genome. The test for the existence of a molecular clock suggests that substitution rates are more or less constant among lineages. The phylogenetic relationships among the viral variants were examined. Although the data do not seem to contain sufficient information to resolve the details of the phylogeny, it appears quite certain that the serotypes of the viral variants do not reflect their genetic relatedness.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7490773     DOI: 10.1007/bf00175817

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  34 in total

1.  Statistical tests of models of DNA substitution.

Authors:  N Goldman
Journal:  J Mol Evol       Date:  1993-02       Impact factor: 2.395

2.  CONFIDENCE LIMITS ON THE MAXIMUM-LIKELIHOOD ESTIMATE OF THE HOMINOID TREE FROM MITOCHONDRIAL-DNA SEQUENCES.

Authors:  Masami Hasegawa; Hirohisa Kishino
Journal:  Evolution       Date:  1989-05       Impact factor: 3.694

3.  Unbiased estimation of the rates of synonymous and nonsynonymous substitution.

Authors:  W H Li
Journal:  J Mol Evol       Date:  1993-01       Impact factor: 2.395

4.  Relative efficiencies of the maximum-likelihood, neighbor-joining, and maximum-parsimony methods when substitution rate varies with site.

Authors:  Y Tateno; N Takezaki; M Nei
Journal:  Mol Biol Evol       Date:  1994-03       Impact factor: 16.240

5.  Maximum-likelihood estimation of phylogeny from DNA sequences when substitution rates differ over sites.

Authors:  Z Yang
Journal:  Mol Biol Evol       Date:  1993-11       Impact factor: 16.240

6.  Substitution rate variation among sites in hypervariable region 1 of human mitochondrial DNA.

Authors:  J Wakeley
Journal:  J Mol Evol       Date:  1993-12       Impact factor: 2.395

7.  Estimating the pattern of nucleotide substitution.

Authors:  Z Yang
Journal:  J Mol Evol       Date:  1994-07       Impact factor: 2.395

8.  A likelihood approach for comparing synonymous and nonsynonymous nucleotide substitution rates, with application to the chloroplast genome.

Authors:  S V Muse; B S Gaut
Journal:  Mol Biol Evol       Date:  1994-09       Impact factor: 16.240

9.  A codon-based model of nucleotide substitution for protein-coding DNA sequences.

Authors:  N Goldman; Z Yang
Journal:  Mol Biol Evol       Date:  1994-09       Impact factor: 16.240

Review 10.  A new method for estimating synonymous and nonsynonymous rates of nucleotide substitution considering the relative likelihood of nucleotide and codon changes.

Authors:  W H Li; C I Wu; C C Luo
Journal:  Mol Biol Evol       Date:  1985-03       Impact factor: 16.240

View more
  10 in total

Review 1.  Role of viruses in human evolution.

Authors:  Linda M Van Blerkom
Journal:  Am J Phys Anthropol       Date:  2003       Impact factor: 2.868

2.  Assessing the impact of secondary structure and solvent accessibility on protein evolution.

Authors:  N Goldman; J L Thorne; D T Jones
Journal:  Genetics       Date:  1998-05       Impact factor: 4.562

Review 3.  Combination chemotherapy for hepatitis B virus: the path forward?

Authors:  T Shaw; S Locarnini
Journal:  Drugs       Date:  2000-09       Impact factor: 9.546

4.  An Evaluation of Different Partitioning Strategies for Bayesian Estimation of Species Divergence Times.

Authors:  Konstantinos Angelis; Sandra Álvarez-Carretero; Mario Dos Reis; Ziheng Yang
Journal:  Syst Biol       Date:  2018-01-01       Impact factor: 15.683

5.  On the Need for New Measures of Phylogenomic Support.

Authors:  Robert C Thomson; Jeremy M Brown
Journal:  Syst Biol       Date:  2022-06-16       Impact factor: 9.160

6.  Comparative analysis of hepatitis C virus phylogenies from coding and non-coding regions: the 5' untranslated region (UTR) fails to classify subtypes.

Authors:  Peter T Hraber; William Fischer; William J Bruno; Thomas Leitner; Carla Kuiken
Journal:  Virol J       Date:  2006-12-14       Impact factor: 4.099

7.  Identification of a DNA Damage Response and Repair-Related Gene-Pair Signature for Prognosis Stratification Analysis in Hepatocellular Carcinoma.

Authors:  Yi Chen; Mengjia Huang; Junkai Zhu; Li Xu; Wenxuan Cheng; Xiaofan Lu; Fangrong Yan
Journal:  Front Pharmacol       Date:  2022-04-05       Impact factor: 5.988

8.  Resolving ambiguity in the phylogenetic relationship of genotypes A, B, and C of hepatitis B virus.

Authors:  Yueming Jiang; Minxian Wang; Hongxiang Zheng; Wei R Wang; Li Jin; Yungang He
Journal:  BMC Evol Biol       Date:  2013-06-11       Impact factor: 3.260

Review 9.  A biologist's guide to Bayesian phylogenetic analysis.

Authors:  Fabrícia F Nascimento; Mario Dos Reis; Ziheng Yang
Journal:  Nat Ecol Evol       Date:  2017-09-21       Impact factor: 15.460

10.  Phylogeography of the marine pathogen, Vibrio vulnificus, revealed the ancestral scenarios of its evolution.

Authors:  Naiel Bisharat; Yael Koton; James D Oliver
Journal:  Microbiologyopen       Date:  2020-08-10       Impact factor: 3.139

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.