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20232026
most citedEvolutionary accessibility of random and structured fitness landscapes

9 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.PE2026

Epistatic strength, modularity, and locus heterogeneity shape the number of local optima in fitness landscapes

Mahan Ghafari, Alejandro Castro Cabrera, Alejandro Lage-Castellanos +3

Fitness landscapes provide a quantitative framework for understanding how natural selection shapes evolutionary trajectories. A central feature of these landscapes is their number…

q-bio.PE2026

Simple sign epistasis and evolutionary detours in fitness landscapes

Paolo Ribeca, Alejandro Castro, Alejandro Lage-Castellanos +8

In epistatic fitness landscapes, the fitness effect of a mutation depends on the genetic background and may even switch between deleterious and beneficial depending on the presence…

q-bio.PE2026

Evolution as fitness landscape navigation: concepts, measures, and emerging questions

Malvika Srivastava, Claudia Bank, Joachim Krug +1

Fitness landscapes are mappings between genotypes, phenotypes, and fitness that shape evolution. In recent years, empirical work and theoretical models have greatly advanced our un…

q-bio.PE2025★ 3 cited

Complexity and accessibility of random landscapes

Sakshi Pahujani, Joachim Krug

These notes introduce probabilistic landscape models defined on high-dimensional discrete sequence spaces. The models are motivated primarily by fitness landscapes in evolutionary…

q-bio.PE2023★ 9 cited

Evolutionary accessibility of random and structured fitness landscapes

Joachim Krug, Daniel Oros

Biological evolution can be conceptualized as a search process in the space of gene sequences guided by the fitness landscape, a mapping that assigns a measure of reproductive valu…