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Parvovirus B19 is a common human pathogen maintained by horizontal transmission between acutely infected individuals. However, B19 virus can also be detected in tissues throughout the life of the host, although little is understood about the nature of such persistence. In the current study, we created large VP1/2 sequence data sets of plasma- and tissue (autopsy)-derived variants of B19 virus with known sample dates to compare the rates of sequence change in exogenous virus populations with those in persistently infected individuals. By using linear regression and likelihood-based methods (such as the BEAST program), we found that plasma-derived B19 virus showed a substitution rate of 4 x 10(-4) and an unconstrained (synonymous)-substitution rate of 18 x 10(-4) per site per year, several times higher than previously estimated and within the range of values for mammalian RNA viruses. The underlying high mutation frequency implied by these substitution rates may enable rapid adaptive changes that are more commonly ascribed to RNA virus populations. These revised estimates predict that the last common ancestor for currently circulating genotype 1 variants of B19 virus existed around 1956 to 1959, fitting well with previous analyses of the B19 virus "bioportfolio" that support a complete cessation of genotype 2 infections and their replacement by genotype 1 infections in the 1960s. In contrast, the evolution of B19 virus amplified from tissue samples was best modeled by using estimated dates of primary infection rather than sample dates, consistent with slow or absent sequence change during persistence. Determining what epidemiological or biological factors led to such a complete and geographically extensive population replacement over this short period is central to further understanding the nature of parvovirus evolution.

Original publication

DOI

10.1128/JVI.00471-08

Type

Journal article

Journal

J Virol

Publication Date

07/2008

Volume

82

Pages

6427 - 6433

Keywords

Base Sequence, Cluster Analysis, Evolution, Molecular, Genetic Variation, Humans, Likelihood Functions, Linear Models, Models, Genetic, Molecular Sequence Data, Mutation, Parvoviridae Infections, Parvovirus B19, Human, Phylogeny, Selection, Genetic, Sequence Analysis, DNA