Article
A trade-off between neutrality and adaptability limits the optimization of viral quasispecies
Centro de Astrobiología, INTA-CSIC, Ctra. de Ajalvir km. 4, 28850 Torrejón de Ardoz, Madrid, Spain
Journal of Theoretical Biology
DOI:10.1016/j.jtbi.2009.07.034
pp.148-155
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Citations (0)
- Cited In (2)
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Article: Severe hindrance of viral infection propagation in spatially extended hosts.
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ABSTRACT: The production of large progeny numbers affected by high mutation rates is a ubiquitous strategy of viruses, as it promotes quick adaptation and survival to changing environments. However, this situation often ushers in an arms race between the virus and the host cells. In this paper we investigate in depth a model for the dynamics of a phenotypically heterogeneous population of viruses whose propagation is limited to two-dimensional geometries, and where host cells are able to develop defenses against infection. Our analytical and numerical analyses are developed in close connection to directed percolation models. In fact, we show that making the space explicit in the model, which in turn amounts to reducing viral mobility and hindering the infective ability of the virus, connects our work with similar dynamical models that lie in the universality class of directed percolation. In addition, we use the fact that our model is a multicomponent generalization of the Domany-Kinzel probabilistic cellular automaton to employ several techniques developed in the past in that context, such as the two-site approximation to the extinction transition line. Our aim is to better understand propagation of viral infections with mobility restrictions, e.g., in crops or in plant leaves, in order to inspire new strategies for effective viral control.PLoS ONE 01/2011; 6(8):e23358. · 4.09 Impact Factor -
Article: Viral Evolution and Adaptation as a Multivariate Branching Process
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ABSTRACT: In the present paper we analyze the problem of adaptation and evolution of RNA virus populations, by defining the basic stochastic model as a multivariate branching process. The defined stochastic process turns out to be well suited to describe several aspects of RNA viral populations. We show that in the absence of beneficial forces the model is exactly solvable. As a result it is possible to prove several key results directly related to known typical properties of these systems. Moreover, new insights on the dynamics of evolving virus populations can be foreseen.10/2011;
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Keywords
appropriate strategy
asymptotic growth rate
circulating quasispecies
constant environments
deleterious effect
environment perturbed
error rate
essential
fluctuating environments
minority virus
mutation-selection equilibrium
neutrality facilitates population optimization
population diversity
population size
populations evolving
quasispecies evolves
quasispecies replication
scenario
simple model
Theoretical studies