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Updated: Jun 14, 2026

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
Published on: June 16, 2011
Using time-structured data to estimate evolutionary rates of double-stranded DNA viruses.
Cadhla Firth1, Andrew Kitchen, Beth Shapiro
1Department of Biology, The Pennsylvania State University, USA. cbf2118@columbia.edu
Double-stranded DNA viruses may evolve faster than previously assumed, challenging long-held theories of host-virus codivergence. New methods using time-structured data allow for more accurate evolutionary rate estimations, revealing potential for rapid viral evolution.
Area of Science:
- Virology
- Evolutionary Biology
- Genomics
Background:
- Double-stranded DNA (dsDNA) viruses are typically considered to evolve slowly due to long-term codivergence with hosts.
- Estimates of dsDNA virus evolutionary rates often rely on the unverified assumption of host-virus codivergence.
Purpose of the Study:
- To estimate dsDNA virus evolutionary rates independently of the host-virus codivergence assumption.
- To investigate the evolutionary dynamics of human dsDNA viruses using time-structured sequence data.
Main Methods:
- Bayesian phylogenetic analysis of temporally structured sequence data.
- Estimation of nucleotide substitution rates for seven human dsDNA viruses, including variola virus (VARV) and herpes simplex virus-1.
- Utilized synthetic datasets to validate the methodology for estimating evolutionary rates.
Main Results:
- Variola virus (VARV) exhibits an evolutionary rate of approximately 1 x 10^-5 substitutions/site/year, comparable to many RNA viruses.
- Estimating evolutionary rates for many other dsDNA viruses remains challenging.
- Time-structured analyses can accurately estimate dsDNA virus substitution rates with sufficient data length and sampling depth.
Conclusions:
- Some dsDNA viruses may evolve at rates approaching those of RNA viruses.
- This finding has significant implications for understanding the evolutionary history and emergence potential of dsDNA viruses.
- The study demonstrates a robust method for estimating viral evolutionary rates independent of host codivergence.
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