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Dissecting Host-virus Interaction in Lytic Replication of a Model Herpesvirus
Published on: October 7, 2011
Cycles, chaos, and evolution in virus cultures: a model of defective interfering particles
1Laboratory of Mathematical Biology, National Institute for Medical Research, London, United Kingdom.
Abstract:
Defective interfering particles (DIP) are spontaneous deletion mutants of viruses that replicate at the expense of the parent virus. DIP have complex effects on the growth of viruses in vitro, including the establishment of persistent infection, cyclical variation in virus titer, eradication of replicating virus, and rapid evolution of the virus. We show here that a simple mathematical model, based only on experimental observations, can explain all of the major effects of DIP on the population dynamics of virus growth. The variation in virus titer caused by DIP has many features that are characteristic of deterministic chaos: it follows that the quantitative effects of DIP are intrinsically unpredictable beyond a short time. We conclude (i) that other factors, such as temperature-sensitive virus mutants or interferons, need not be invoked to explain the complex effects of DIP; and (ii) that dominantly interfering viruses should only be used with great caution for therapeutic purposes, since their effects are, in principle, unpredictable.
Insights
Defective interfering particles (DIP) can cause unpredictable virus population dynamics. A mathematical model explains these complex effects, suggesting caution when using interfering viruses therapeutically.
Area of Science:
- Virology
- Mathematical Biology
- Chaos Theory
Background:
- Defective interfering particles (DIP) are viral deletion mutants that impact parent virus replication.
- DIP exhibit complex in vitro effects, including persistent infections, titer fluctuations, viral eradication, and rapid evolution.
Purpose of the Study:
- To explain the complex effects of DIP on virus population dynamics using a mathematical model.
- To demonstrate that DIP-induced variations in virus titer exhibit characteristics of deterministic chaos.
Main Methods:
- Development of a simple mathematical model based on experimental observations of DIP and virus interactions.
- Analysis of the model to explain the population dynamics of virus growth in the presence of DIP.
Main Results:
- The mathematical model successfully explains major effects of DIP on virus population dynamics.
- Virus titer variations induced by DIP display characteristics of deterministic chaos, indicating inherent unpredictability.
- The model's findings suggest DIP effects are not dependent on factors like temperature-sensitive mutants or interferons.
Conclusions:
- Complex viral dynamics attributed to DIP can be explained by a simple mathematical model.
- The unpredictable nature of DIP effects necessitates caution in their therapeutic applications.
- Interfering viruses should be used cautiously due to their intrinsically unpredictable quantitative effects.
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