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We develop population genetic models to describe and analyse how populations evolve to adapt to a new environment. A key goal is to understand the factors that shape the pathways along which evolution can proceed and thus ultimately determine the predictability of the evolutionary process. Applications derive mostly from the field of experimental evolution, in particular the evolution of drug resistance in microbes.

Selected publications

  1. Hwang S, Park S C, Krug J (2017). Genotypic complexity of Fisher’s geometric model. Genetics 206:1049-1079
  2. de Visser J A G M, Krug J (2014). Empirical fitness landscapes and the predictability of evolution. Nature Reviews Genetics 15: 480-490
  3. Szendro I G, Franke J, de Visser J A G M, Krug J (2013). Predictability of evolution depends nonmonotonically on population size. Proc. Natl. Acad. Sci. USA 110: 571-576
  4. Franke J, Klözer A, de Visser J A G M, Krug J (2011). Evolutionary accessibility of mutational pathways. PLOS Computational Biology 7: e1002134
  5. Park S C, Krug J (2007). Clonal interference in large populations. Proc. Natl. Acad. Sci. USA 104: 18135-18140