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We use mathematical/computational models to investigate the evolution of drug resistance in viruses and bacteria. The models are used in part for parameter inference and in part for simulation. Most of this work is carried out in close collaboration with experimentalists and clinicians.
Key publications:
The evolutionary benefit of sexual reproduction/recombination remains one of the major unsolved problems in evolution. Our interest in the evolution of recombination started with our attempts to obtain a better understanding of the role of recombination in HIV for the evolution of drug resistance. It turned out that HIV is an interesting model system to study the evolution of recombination in a more general context. Currently we study the evolution of recombination modifiers and the maintenance of sex in to test various leading hypotheses for the evolutionary origin and maintenance of sex.
Key publications:
Populations evolve on complex fitness landscapes. Currently little is known about the generic properties of realistic fitness landscapes. We have recently investigated the evolution of sexual reproduction/recombination on complex fitness landscapes. Ongoing work focuses on reconstructing good approximations for realistic fitness landscapes from experimental data.
Key
publications:
Misevic, D, Kouyos, RD,
Bonhoeffer, S
Predicting the Evolution of Sex on Complex Fitness
Landscapes
PLOS COMPUTATIONAL BIOLOGY (2009) 5:-
Abstract
As more and more genetic data on pathogens are becoming available, we are developing and applying phylogenetic approaches to infer critical parameters of infectious disease epidemiology.
Key
publications:
Kouyos, RD et al
Predicting the Evolution of Sex on Complex Fitness
Landscapes
JOURNAL OF INFECTIOUS DISEASE, in press
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