Evolutionary graph theory on rugged fitness landscapes
The paper develops a theory to model evolutionary dynamics on rugged fitness landscapes in heterogeneous population structures and applies it to bone marrow stem cell niches.
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The paper develops a theory to model evolutionary dynamics on rugged fitness landscapes in heterogeneous population structures and applies it to bone marrow stem cell niches.
This paper shows how higher-order network motifs can tune fixation times without affecting fixation probabilities in structured populations, enabling continuous control over evolutionary rates in optimization problems.
Y. P. Kuo, C. Nombela-Arrieta, O. Carja
The paper develops a theory of evolutionary dynamics on complex spatial structures, showing that network topology and mixing patterns influence mutation fixation probabilities and suppress selection in stem cell niches.