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Rates of evolutionary change in viruses: patterns and determinants
Nature Reviews Geneticsvolume 9, pages267–276 (2008)Cite this article
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Key Points
Viral mutation rates vary over five orders of magnitude, whereas viral substitution rates vary over six orders of magnitude.
Instead of simplifying the differences by stating that RNA viruses mutate faster than DNA viruses owing to differences in polymerase fidelity, it seems more likely that small viruses mutate faster than large viruses irrespective of the nucleic acid of their genome.
Single-stranded DNA (ssDNA) and double-stranded DNA (dsDNA) viruses have non-overlapping ranges of mutation and substitution rates, with ssDNA viruses behaving more like RNA viruses. However, there are currently no good estimates of substitution rate for dsRNA viruses.
There are several sources of mutation in addition to polymerase error. These include host antiviral enzymes, spontaneous chemical reactions and environmental mutagens such as ultraviolet irradiation.
Various processes shape the evolution of mutation rates in viruses, although more research is needed to determine their precise contribution, and whether and how natural selection has acted to optimize these rates.
Coalescent methods that use serially sampled data represent a powerful way to estimate substitution rates from rapidly evolving RNA and ssDNA viruses.
Abstract
Understanding the factors that determine the rate at which genomes generate and fix mutations provides important insights into key evolutionary mechanisms. We review our current knowledge of the rates of mutation and substitution, as well as their determinants, in RNA viruses, DNA viruses and retroviruses. We show that the high rate of nucleotide substitution in RNA viruses is matched by some DNA viruses, suggesting that evolutionary rates in viruses are explained by diverse aspects of viral biology, such as genomic architecture and replication speed, and not simply by polymerase fidelity.
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References
Baer, C. F., Miyamoto, M. M. & Denver, D. R. Mutation rate variation in multicellular eukaryotes: causes and consequences.Nature Rev. Genet.8, 619–631 (2007).
Drake, J. W., Charlesworth, B., Charlesworth, D. & Crow, J. F. Rates of spontaneous mutation.Genetics.148, 1667–1686 (1998).
Li, W.-H.Molecular Evolution (Sinauer Associates, Inc., Sunderland, Massachusetts, 1997).
Posada, D., Crandall, K. A. & Holmes, E. C. Recombination in evolutionary genomics.Annu. Rev. Genet.36, 75–97 (2002).
Philippe, H. & Douady, C. J. Horizontal gene transfer and phylogenetics.Curr. Opin. Microbiol.6, 498–505 (2003).
Clark, A. G. et al. Evolution of genes and genomes on theDrosophila phylogeny.Nature450, 203–218 (2007).
Drummond, A. J., Pybus, O. G., Rambaut, A., Forsberg, R. & Rodrigo, A. G. Measurably evolving populations.Trends Ecol. Evol.18, 481–488 (2003).
Gibbs, A. J., Calisher, C. H. & García-Arenal, F.Molecular Basis of Virus Evolution (Cambridge University Press, New York, 1995).
Domingo, E. & Holland, J. J. RNA virus mutations and fitness for survival.Annu. Rev. Microbiol.51, 151–178 (1997).
Drake, J. W. Rates of spontaneous mutation among RNA viruses.Proc. Natl Acad. Sci. USA90, 4171–4175 (1993).This paper was the first comprehensive survey of rates of mutation in RNA viruses.
Drake, J. W. & Hwang, C. B. C. On the mutation rate of herpes simplex virus type 1.Genetics.170, 969–970 (2005).
Raney, J. L., Delongchamp, R. R. & Valentine, C. R. Spontaneous mutant frequency and mutation spectrum for gene A of φX174 grown inE. coli.Environ. Mol. Mutag.44, 119–127 (2004).
Flint, S. J., Enquist, L. W., Racaniello, V. R. & Skalka, A. M.Principles of Virology Molecular Biology, Pathogenesis and Control of Animal Viruses (ASM, Washington, 2004).
Garcia-Diaz, M. & Bebenek, K. Multiple functions of DNA polymerases.Crit. Rev. Plant Sci.26, 105–122 (2007).
Jung, A. et al. Multiply infected spleen cells in HIV patients.Nature418, 144 (2002).
Bonhoeffer, S., Holmes, E. C. & Nowak, M. A. Causes of HIV diversity.Nature376, 125 (1995).
Walsh, C. P. & Xu, G. L. Cytosine methylation and DNA repair.Curr. Topics Microbiol. Immunol.301, 283–315 (2006).
Mangeat, B. et al. Broad antiretroviral defence by human APOBEC3G through lethal editing of nascent reverse transcripts.Nature424, 99–103 (2003).
Caride, E. et al. Sexual transmission of HIV-1 isolate showing G–A hypermutation.J. Clin. Virol.23, 179–189 (2002).
Frederico, L. A., Kunkel, T. A. & Shaw, B. R. A sensitive genetic assay for the detection of cytosine deamination — determination of rate constants and the activation energy.Biochemistry.29, 2532–2537 (1990).
Xia, X. & Yuen, K. Y. Differential selection and mutation between dsDNA and ssDNA phages shape the evolution of their genomic at percentage.BMC Genet.6, 20 (2005).
Pita, J. S., De Miranda, J. R., Schneider, W. L. & Roossinck, M. J. Environment determines fidelity for an RNA virus replicase.J. Virol.81, 9072–9077 (2007).This paper describes an experimental test ofin vivo rates of mutation caused by insertions and deletions. The study comprises a powerful comparison of RdRp fidelity of viruses that infect pepper and tobacco plants.
Schrag, S. J., Rota, P. A. & Bellini, W. J. Spontaneous mutation rate of measles virus: direct estimation based on mutations conferring monoclonal antibody resistance.J. Virol.73, 51–54 (1999).
Bull, J. J., Sanjuan, R. & Wilke, C. O. Theory of lethal mutagenesis for viruses.J. Virol.81, 2930–2939 (2007).
Drake, J. W., Bebenek, A., Kissling, G. E. & Peddada, S. Clusters of mutations from transient hypermutability.Proc. Natl Acad. Sci. USA102, 12849–12854 (2005).
Drake, J. W. Mutations in clusters and showers.Proc. Natl Acad. Sci. USA104, 8203–8204 (2007).
Drake, J. W. Too many mutants with multiple mutations.Crit. Rev. Biochem. Mol. Biol.42, 247–258 (2007).
Pathak, V. K. & Temin, H. M. 5-azacytidine and RNA secondary structure increase the retrovirus mutation rate.J. Virol.66, 3093–3100 (1992).
Hudson, R. E., Bergthorsson, U., Roth, J. R. & Ochman, H. Effect of chromosome location on bacterial mutation rates.Mol. Biol. Evol.19, 85–92 (2002).
Chao, L., Rang, C. U. & Wong, L. E. Distribution of spontaneous mutants and inferences about the replication mode of the RNA bacteriophage φ6.J. Virol.76, 3276–3281 (2002).
French, R. & Stenger, D. C. Evolution of wheat streak mosaic virus: dynamics of population growth within plants may explain limited variation.Annu. Rev. Phytopathol.41, 199–214 (2003).
Jenkins, G. M., Rambaut, A., Pybus, O. G. & Holmes, E. C. Rates of molecular evolution in RNA viruses: a quantitative phylogenetic analysis.J. Mol. Evol.54, 156–165 (2002).This paper describes a large-scale comparative analysis of the rates of nucleotide substitution in RNA viruses, with the caveat that this study pre-dates the use of more sophisticated analytical techniques.
Hanada, K., Suzuki, Y. & Gojobori, T. A large variation in the rates of synonymous substitution for RNA viruses and its relationship to a diversity of viral infection and transmission modes.Mol. Biol. Evol.21, 1074–1080 (2004).
Chare, E. R. & Holmes, E. C. Selection pressures in the capsid genes of plant RNA viruses reflect mode of transmission.J. Gen. Virol.85, 3149–3157 (2004).
Holmes, E. C. Error thresholds and the constraints to RNA virus evolution.Trends Microbiol.11, 543–546 (2003).
Woelk, C. H. & Holmes, E. C. Reduced positive selection in vector-borne RNA viruses.Mol. Biol. Evol.19, 2333–2336 (2002).
Weaver, S. C. & Barrett, A. D. Transmission cycles, host range, evolution and emergence of arboviral disease.Nature Rev. Microbiol.2, 789–801 (2004).
Berry, I. M. et al. Unequal evolutionary rates in the human immunodeficiency virus type 1 (HIV-1) pandemic: the evolutionary rate of HIV-1 slows down when the epidemic rate increases.J. Virol.81, 10625–10635 (2007).
Nielsen, R. & Yang, Z. Likelihood models for detecting positively selected amino acid sites and applications to the HIV-1 envelope gene.Genetics.148, 929–936 (1998).
Li, B. et al. Rapid reversion of sequence polymorphisms dominates early human immunodeficiency virus type 1 evolution.J. Virol.81, 193–201 (2007).
Switzer, W. M. et al. Ancient co-speciation of simian foamy viruses and primates.Nature434, 376–380 (2005).This study revealed that SFVs co-diverged with their primate hosts over many millions of years, leading to the inference that SFV evolves more slowly than any other RNA virus.
Salemi, M. et al. Different population dynamics of human T-cell lymphotropic virus type II in intravenous drug users compared with endemically infected tribes.Proc. Natl Acad. Sci. USA96, 13253–13258 (1999).This paper is an important example of how different transmission routes (for example, needle-sharing versus mother-to child transmission) can markedly affect the rate of nucleotide substitution.
Vandamme, A. M., Bertazzoni, U. & Salemi, M. Evolutionary strategies of human T-cell lymphotropic virus type II.Gene261, 171–180 (2000).
Lemey, P., Pybus, O. G., Van Dooren, S. & Vandamme, A. M. A Bayesian statistical analysis of human T-cell lymphotropic virus evolutionary rates.Infect. Genet. Evol.5, 291–298 (2005).
Suzuki, Y. et al. Slow evolutionary rate of GB virus C/hepatitis G virus.J. Mol. Evol.48, 383–389 (1999).
Plyusnin, A. & Morzunov, S. P. Virus evolution and genetic diversity of hantaviruses and their rodent hosts.Curr. Topics Microbiol. Immunol.256, 47–75 (2001).
García-Arenal, F., Fraile, A. & Malpica, J. M. Variability and genetic structure of plant virus populations.Annu. Rev. Phytopathol.39, 157–186 (2001).
Charrel, R. N., De Micco, P. & De Lamballerie, X. Phylogenetic analysis of GB viruses A and C: Evidence for cospeciation between virus isolates and their primate hosts.J. Gen. Virol.80, 2329–2335 (1999).
Hughes, A. L. & Friedman, R. Evolutionary diversification of protein-coding genes of hantaviruses.Mol. Biol. Evol.17, 1558–1568 (2000).
Charleston, M. A. & Robertson, D. L. Preferential host switching by primate lentiviruses can account for phylogenetic similarity with the primate phylogeny.Syst. Biol.51, 528–535 (2002).
Rodríguez-Cerezo, E., Elena, S. F., Moya, A. & García-Arenal, F. High genetic stability in natural populations of the plant RNA virus tobacco mild green mosaic virus.J. Mol. Evol.32, 328–332 (1991).
Kim, T. et al. Molecular analysis of quasispecies of Kyuri green mottle mosaic virus.Virus Res.110, 161–167 (2005).
Marco, C. F. & Aranda, M. A. Genetic diversity of a natural population of Cucurbit yellow stunting disorder virus.J. Gen. Virol.86, 815–822 (2005).
Fraile, A. et al. A century of tobamovirus evolution in an Australian population ofNicotiana glauca.J. Virol.71, 8316–8320 (1997).
Li, H. Y. & Roossinck, M. J. Genetic bottlenecks reduce population variation in an experimental RNA virus population.J. Virol.78, 10582–10587 (2004).
Fargette, D. et al. Rice yellow mottle virus, an RNA plant virus, evolves as rapidly as most RNA animal viruses.J. Virol. 16 Jan 2008 (doi:10.1128/JVI.02506-07).
McGeoch, D. J. & Gatherer, D. Integrating reptilian herpesviruses into the familyHerpesviridae.J. Virol.79, 725–731 (2005).
Bernard, H. U. Coevolution of papillomaviruses with human populations.Trends Microbiol.2, 140–143 (1994).
Pavesi, A. Utility of JC polyomavirus in tracing the pattern of human migrations dating to prehistoric times.J. Gen. Virol.86, 1315–1326 (2005).
Hatwell, J. N. & Sharp, P. M. Evolution of human polyomavirus JC.J. Gen. Virol.81, 1191–1200 (2000).
Shackelton, L. A. & Holmes, E. C. Phylogenetic evidence for the rapid evolution of human B19 erythrovirus.J. Virol.80, 3666–3669 (2006).
Ge, L. M., Zhang, J. T., Zhou, X. P. & Li, H. Y. Genetic structure and population variability of tomato yellow leaf curl China virus.J. Virol.81, 5902–5907 (2007).
Lopez-Bueno, A., Villarreal, L. P. & Almendral, J. M. Parvovirus variation for disease: a difference with RNA viruses?Curr. Topics Microbiol. Immunol.299, 349–370 (2006).
Isnard, M., Granier, M., Frutos, R., Reynaud, B. & Peterschmitt, M. Quasispecies nature of three maize streak virus isolates obtained through different modes of selection from a population used to assess response to infection of maize cultivars.J. Gen. Virol.79, 3091–3099 (1998).
Drake, J. W. A constant rate of spontaneous mutation in DNA-based microbes.Proc. Natl Acad. Sci. USA88, 7160–7164 (1991).This study was the first comprehensive survey of rates of mutation among DNA viruses. It predicts that smaller DNA viruses should have higher mutation rates per nucleotide.
Harrison, B. D. & Robinson, D. J. Natural genomic and antigenic variation in whitefly-transmitted geminiviruses (begomoviruses).Annu. Rev. Phytopathol.37, 369–398 (1999).
Hino, S. & Miyata, H. Torque teno virus (TTV): current status.Rev. Med. Virol.17, 45–57 (2007).
Shackelton, L. A., Parrish, C. R., Truyen, U. & Holmes, E. C. High rate of viral evolution associated with the emergence of carnivore parvovirus.Proc. Natl Acad. Sci. USA102, 379–384 (2005).
Umemura, T., Tanaka, Y., Kiyosawa, K., Alter, H. J. & Shih, J. W.-K. Observation of positive selection within hypervariable regions of a newly identified DNA virus (SEN virus).FEBS Lett.510, 171–174 (2002).
Duffy, S. & Holmes, E. C. Phylogenetic evidence for rapid rates of molecular evolution in the single-stranded DNA begomovirus Tomato yellow leaf curl virus (TYLCV).J. Virol.82, 957–965 (2008).
Eyre-Walker, A. & Keightley, P. D. The distribution of fitness effects of new mutations.Nature Rev. Genet.8, 610–618 (2007).
Sanjuan, R., Moya, A. & Elena, S. F. The distribution of fitness effects caused by single-nucleotide substitutions in an RNA virus.Proc. Natl Acad. Sci. USA101, 8396–8401 (2004).
Sasaki, A. & Nowak, M. A. Mutation landscapes.J. Theor. Biol.224, 241–247 (2003).
Kamp, C., Wilke, C. O., Adami, C. & Bornholdt, S. Viral evolution under the pressure of an adaptive immune system: optimal mutation rates for viral escape.Complexity.8, 28–33 (2003).
Drake, J. W. Spontaneous mutation.Annu. Rev. Genet.25, 125–146 (1991).
Anderson, J. P., Daifuku, R. & Loeb, L. A. Viral error catastrophe by mutagenic nucleosides.Annu. Rev. Microbiol.58, 183–205 (2004).
Mansky, L. M. & Cunningham, K. S. Virus mutators and antimutators: roles in evolution, pathogenesis and emergence.Trends Genet.16, 512–517 (2000).
Pfeiffer, J. K. & Kirkegaard, K. A single mutation in poliovirus RNA-dependent RNA polymerase confers resistance to mutagenic nucleotide analogs via increased fidelity.Proc. Natl Acad. Sci. USA100, 7289–7294 (2003).
Sniegowski, P. D., Gerrish, P. J., Johnson, T. & Shaver, A. The evolution of mutation rates: separating causes from consequences.Bioessays.22, 1057–1066 (2000).
Vignuzzi, M., Stone, J. K. & Andino, R. Ribavirin and lethal mutagenesis of poliovirus: molecular mechanisms, resistance and biological implications.Virus Res.107, 173–181 (2005).
Furio, V., Moya, A. & Sanjuan, R. The cost of replication fidelity in an RNA virus.Proc. Natl Acad. Sci. USA102, 10233–10237 (2005).
Graci, J. D. et al. Lethal mutagenesis of poliovirus mediated by a mutagenic pyrimidine analogue.J. Virol.81, 11256–11266 (2007).
Elena, S. F., Carrasco, P., Daros, J. A. & Sanjuan, R. Mechanisms of genetic robustness in RNA viruses.EMBO Rep.7, 168–173 (2006).This paper is a useful discussion of how genetic robustness is defined, measured and achieved in RNA viruses.
Ewald, P. W. Evolution of mutation rate and virulence among human retroviruses.Philos. Trans. R. Soc. Lond., B, Biol. Sci.346, 333–341 (1994).
Crotty, S., Cameron, C. E. & Andino, R. RNA virus error catastrophe: direct molecular test by using ribavirin.Proc. Natl Acad. Sci. USA98, 6895–6900 (2001).This study was an important test of the hypothesis that increasing the mutation rate of an RNA virus (with the application of an antiviral drug) can result in viral extinction, probably owing to error catastrophe and/or lethal mutagenesis.
Mansky, L. M. & Bernard, L. C. 3′-azido-3′-deoxythymidine (AZT) and AZT-resistant reverse transcriptase can increase thein vivo mutation rate of human immunodeficiency virus type 1.J. Virol.74, 9532–9539 (2000).
Summers, J. & Litwin, S. Examining the theory of error catastrophe.J. Virol.80, 20–26 (2006).
Eigen, M.Steps Towards Life (Oxford University Press, Oxford, 1996).
Codoner, F. M., Daros, J. A., Sole, R. V. & Elena, S. F. The fittest versus the flattest: experimental confirmation of the quasispecies effect with subviral pathogens.PLoS Pathog.2, e136 (2006).
Elena, S. F. & Sanjuán, R. Adaptive value of high mutation rates of RNA viruses: separating causes from consequences.J. Virol.79, 11555–11558 (2005).
Kuiken, T. et al. Host species barriers to influenza virus infections.Science312, 394–397 (2006).
Kunkel, T. A. DNA replication fidelity.J. Biol. Chem.279, 16895–16898 (2004).
Arguello-Astorga, G. R., Ascencia-Ibáñez, J. T., Dallas, M. B., Orozco, B. M. & Hanley-Bowdoin, L. High-frequency reversion of geminivirus replication protein mutants during infection.J. Virol.81, 11005–11015 (2007).
Gutierrez, C. Geminivirus DNA replication.Cell. Mol. Life Sci.56, 313–329 (1999).
Chen, Y. et al. Analysis of 15 novel full-length BK virus sequences from three individuals: Evidence of a high intra-strain genetic diversity.J. Gen. Virol.85, 2651–2663 (2004).
Shackelton, L. A., Rambaut, A., Pybus, O. G. & Holmes, E. C. JC virus evolution and its association with human populations.J. Virol.80, 9928–9933 (2006).
Ghedin, E. et al. Large-scale sequencing of human influenza reveals the dynamic nature of viral genome evolution.Nature437, 1162–1166 (2005).
Edwards, R. A. & Rohwer, F. Viral metagenomics.Nature Rev. Microbiol.3, 504–510 (2005).
Lukashov, V. V. & Goudsmit, J. Recent evolutionary history of human immunodeficiency virus type 1 subtype B: reconstruction of epidemic onset based on sequence distances to the common ancestor.J. Mol. Evol.54, 680–691 (2002).
Rambaut, A. Estimating the rate of molecular evolution: incorporating non-contemporaneous sequences into maximum likelihood phylogenies.Bioinformatics.16, 395–399 (2000).
Drummond, A. J. & Rambaut, A. BEAST: Bayesian evolutionary analysis by sampling trees.BMC Evol. Biol.7, 214 (2007).
Drummond, A. J., Ho, S. Y. W., Phillips, M. J. & Rambaut, A. Relaxed phylogenetics and dating with confidence.PLoS Biol.4, 699–710 (2006).This is an important methodological paper showing how rates of nucleotide substitution and times to common ancestry can be estimated from serially sampled data sets such as those from RNA viruses and ssDNA viruses.
Malpica, J. M. et al. The rate and character of spontaneous mutation in an RNA virus.Genetics.162, 1505–1511 (2002).
Aulicino, P. C., Holmes, E. C., Rocco, C., Mangano, A. & Sen, L. Extremely rapid spread of human immunodeficiency virus type 1 BF recombinants in Argentina.J. Virol.81, 427–429 (2007).
Davis, P. L. et al. Phylogeography, population dynamics, and molecular evolution of European bat lyssaviruses.J. Virol.79, 10487–10497 (2005).
Acknowledgements
This work was supported by a National Science Foundation grant, DBI 06-03070, to S.D. We thank A. Rambaut for his comments.
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Department of Biology, Center for Infectious Disease Dynamics, Mueller Laboratory, The Pennsylvania State University, University Park, 16802, Pennsylvania, USA
Siobain Duffy, Laura A. Shackelton & Edward C. Holmes
Fogarty International Center, National Institutes of Health, Bethesda, 20892, Maryland, USA
Edward C. Holmes
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FURTHER INFORMATION
Glossary
- Generation time
The time between rounds of production of viral progeny, including any time required for virions to seek a susceptible host cell, followed by adsorption and infection of the susceptible cell, then viral replication and release.
- Coalescent
A population genetic theory that links the divergence times of a phylogenetic tree of individuals sampled from the same population with the demographic history (that is, rates of population growth and decline) of that population.
- Positive selection
The fixation of advantageous alleles as a result of differential reproductive success.
- Hypermutation
The long stretches of nucleotide transitions observed in RNA virus sequences (first noticed in human immunodeficiency virus with G-to-A transitions). This term can also be used to describe an elevated mutation rate of any kind, not necessarily in a run of adjacent nucleotides.
- Amber mutaton reversion
The change of an amber stop codon (UAG) within a gene to a codon for an amino acid. This typically restores protein function in a gene that had been purposefully selected to contain an amber nonsense mutation as a genetic marker.
- Stamping machine
Linear stamping machine replication is when the single virus that initiates an infection is the direct parent of all progeny genomes. That is, the parental genome (or its single complement) is the template for the semi-conservative replication of all the genomes that are produced in an infected cell. As there is only one template within the cell, progeny genomes accumulate linearly over time.
- Geometric genome replication
A mode of viral replication in which the progeny genomes that are replicated early during infection can become templates for further genome replication. As the infection progresses, the number of templates for semi-conservative replication increases, and progeny genomes can be produced at an exponential, or geometric, rate.
- Effective population size
The smallest theoretical population size that can evolve in the same way as the actual population under study. It is strongly influenced by population bottlenecks, such as those that occur during transmission of viruses between hosts, and therefore is often smaller than the total population size.
- Linear regression
The estimation of a first-order relationship between two variables (for example, number of nucleotide substitutions and time), which involves fitting the best straight line to the data.
- Constant molecular clock
The idea that nucleotide substitutions accumulate at a fixed (constant) rate over time, and that this can be used to estimate divergence times between sequences.
- Maximum likelihood
A statistical method that selects the hypothesis (for example, the phylogenetic tree) that has the highest probability of explaining the data, under a specific model.
- Bayesian Markov chain Monte Carlo
(MCMC). Bayesian methods incorporate prior information in assessing the probability of model parameters. Because the prior distribution (the users' belief about the probabilities of different parameter values before the data have been analysed) can have a large affect on the posterior distribution (the results) it must be chosen carefully. MCMC methods allow sampling from the posterior distribution to get an estimate of the distribution.
- Relaxed molecular clock
A form of molecular clock in which rates of nucleotide substitution are allowed to vary among lineages.
- Purifying selection
The purging of deleterious alleles as a result of differential reproductive success.
- Cytotoxic T-lymphocyte
An antigen-specific T-cell of the vertebrate immune system that recognizes and destroys virus-infected cells.
- Co-divergence
The parallel diversification or speciation of a parasite and its host, which is inferred when there is strong congruence between the phylogenetic trees of the host and parasite, and similar divergence times of corresponding nodes on the phylogenies.
- Population bottleneck
The smallest size of a viral population at any point in viral propagation. A common bottleneck for viral populations occurs during transmission between hosts, when the population size can be as small as one virus or as large as several million virions.
- Error threshold
The theoretical limit to the mutation rate of viruses, beyond which too many errors accumulate and populations of the virus become extinct. It is used to explain why it is difficult to generate RNA viruses with much higher mutation rates than those observed in natural isolates, and why RNA viruses have constrained genome sizes.
- Burst size
The (average) number of progeny viruses produced from a single infected cell. This is more straightforward to measure for obligately lytic viruses than for viruses that can integrate into their host genomes.
- Robustness
The constancy of a phenotype in the face of changing environments or changing genetics (mutations). Current research indicates that robustness is a trait that is under selection in viruses, and changes in viral robustness can be observed in laboratory experimental evolution.
- Fitness landscape
A metaphorical contour map of the varied fitness values that are experienced by different genotypes of an organism. As a genotype moves through genotype space, it can climb to a higher fitness peak, or stumble down to a less-fit genotype.
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Duffy, S., Shackelton, L. & Holmes, E. Rates of evolutionary change in viruses: patterns and determinants.Nat Rev Genet9, 267–276 (2008). https://doi.org/10.1038/nrg2323
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