Title |
Bayesian Coalescent Analysis Reveals a High Rate of Molecular Evolution in GB Virus C
|
---|---|
Published in |
Journal of Molecular Evolution, March 2008
|
DOI | 10.1007/s00239-008-9087-3 |
Pubmed ID | |
Authors |
Camila M. Romano, Paolo M. de A. Zanotto, Edward C. Holmes |
Abstract |
GB virus C/hepatitis G (GBV-C) is an RNA virus of the family Flaviviridae. Despite replicating with an RNA-dependent RNA polymerase, some previous estimates of rates of evolutionary change in GBV-C suggest that it fixes mutations at the anomalously low rate of approximately 10(-7) nucleotide substitution per site, per year. However, these estimates were largely based on the assumption that GBV-C and its close relative GBV-A (New World monkey GB viruses) codiverged with their primate hosts over millions of years. Herein, we estimated the substitution rate of GBV-C using the largest set of dated GBV-C isolates compiled to date and a Bayesian coalescent approach that utilizes the year of sampling and so is independent of the assumption of codivergence. This revealed a rate of evolutionary change approximately four orders of magnitude higher than that estimated previously, in the range of 10(-2) to 10(-3) sub/site/year, and hence in line with those previously determined for RNA viruses in general and the Flaviviridae in particular. In addition, we tested the assumption of host-virus codivergence in GBV-A by performing a reconciliation analysis of host and virus phylogenies. Strikingly, we found no statistical evidence for host-virus codivergence in GBV-A, indicating that substitution rates in the GB viruses should not be estimated from host divergence times. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Chile | 1 | 3% |
Unknown | 27 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 34% |
Student > Ph. D. Student | 5 | 17% |
Lecturer > Senior Lecturer | 2 | 7% |
Student > Doctoral Student | 1 | 3% |
Student > Bachelor | 1 | 3% |
Other | 6 | 21% |
Unknown | 4 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 52% |
Biochemistry, Genetics and Molecular Biology | 4 | 14% |
Immunology and Microbiology | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Engineering | 1 | 3% |
Other | 0 | 0% |
Unknown | 7 | 24% |