Deterministic and stochastic regimes of asexual evolution on rugged fitness landscapes

Simple item page
dc.creatorJain, Kavita
dc.creatorKrug, Joachim
dc.date2006-06-19
dc.date2006-11-30
dc.date.accessioned2026-07-07T07:53:17Z
dc.date.available2026-07-07T07:53:17Z
dc.descriptionWe study the adaptation dynamics of an initially maladapted asexual population with genotypes represented by binary sequences of length $L$. The population evolves in a maximally rugged fitness landscape with a large number of local optima. We find that whether the evolutionary trajectory is deterministic or stochastic depends on the effective mutational distance $d_{\mathrm{eff}}$ upto which the population can spread in genotype space. For $d_{\mathrm{eff}}=L$, the deterministic quasispecies theory operates while for $d_{\mathrm{eff}} < 1$, the evolution is completely stochastic. Between these two limiting cases, the dynamics are described by a local quasispecies theory below a crossover time $T_{\times}$ while above $T_{\times}$, the population gets trapped at a local fitness peak and manages to find a better peak either via stochastic tunneling or double mutations. In the stochastic regime $d_\mathrm{eff} < 1$, we identify two subregimes associated with clonal interference and uphill adaptive walks, respectively. We argue that our findings are relevant to the interepretation of evolution experiments with microbial populations.
dc.descriptionRevised version, to appear in Genetics. Note on the role of selection in defining d_eff added; new figure 4 included
dc.identifierhttps://arxiv.org/abs/q-bio/0606025
dc.identifierhttp://arxiv.org/abs/q-bio/0606025
dc.identifierGenetics 175, 1275 (2007)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/126197
dc.subjectPopulations and Evolution
dc.subjectStatistical Mechanics
dc.titleDeterministic and stochastic regimes of asexual evolution on rugged fitness landscapes
dc.typetext

Files

Collections

arXiv