| Literature DB >> 25063907 |
Darren J Obbard1, Gytis Dudas2.
Abstract
Although viral infection and antiviral defence are ubiquitous, genetic data are currently unavailable from the vast majority of animal phyla-potentially biasing our overall perspective of the coevolutionary process. Rapid adaptive evolution is seen in some insect antiviral genes, consistent with invertebrate-virus 'arms-race' coevolution, but equivalent signatures of selection are hard to detect in viruses. We find that, despite the large differences in vertebrate, invertebrate, and plant immune responses, comparison of viral evolution fails to identify any difference among these hosts in the impact of positive selection. The best evidence for invertebrate-virus coevolution is currently provided by large-effect polymorphisms for host resistance and/or viral evasion, as these often appear to have arisen and spread recently, and can be favoured by virus-mediated selection.Entities:
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Year: 2014 PMID: 25063907 PMCID: PMC4199324 DOI: 10.1016/j.coviro.2014.07.002
Source DB: PubMed Journal: Curr Opin Virol ISSN: 1879-6257 Impact factor: 7.090
Figure 1Constraint and positive selection in the protein-coding sequences of 40 RNA viruses infecting vertebrates, invertebrates, or plants. Plots illustrate the distribution of estimated dN-dS for all codons in the complete coding sequence of each virus (insects yellow, plants green and vertebrates red; median and 95th percentiles are marked; dN = dS implies neutrality). The dN-dS summary statistic is used in place of dN/dS because estimates are more stable and tend to be closer to Gaussian in their distribution. Grey boxes indicate the 95% credible interval for each category mean, estimated using a Generalised Linear Mixed Model (GLMM). Coloured circles indicate the number of positively selected codons (PSCs), that is, those estimated to have dN > dS at a posterior probability of 0.8 (pale circles: max = 55 min = 1) or 0.9 (dark circles: max = 25 min = 0). A GLMM found no significant difference between host types in the median viral dN–dS (likely to reflect overall constraint) or in the number of PSCs (likely to reflect the impact of positive selection). Note that the number of PSCs did not correlate with the total number of codons. Viruses were chosen to encompass a wide phylogenetic distribution, and were included if ≥20 complete genomes were available (≥16 complete genomes for invertebrates). If >100 genomes were available, the data were down-sampled at random to 100 sequences. Selection was inferred using FUBAR [71] from the HyPhy package [72] on a 20 × 20 grid with 10 independent MCMC chains each providing 1000 subsamples from the posterior (each 5 × 108 steps after 5 × 108 burn-in steps). Codons were only included if the effective sample size from the posterior was ≥100. Overlapping reading frames were excluded and recombination breakpoints were inferred using GARD [73] before FUBAR analysis. GLMMs were fitted using MCMCglmm [74], with host as a fixed effect and viral family as a random effect. A Gaussian distribution was assumed for median dN–dS values, while the number of PSCs was assumed to be Poisson distributed. Significance was assessed by examination of the credibility intervals.