activity
19992020
most citedDuplication-divergence model of protein interaction network

179 citations · 877 across the 27 of their papers we have counts for

collaborators

28 papers

q-bio.PE2020

Boom-bust population dynamics can increase diversity in evolving competitive communities

Michael Doebeli, Eduardo Cancino Jaque, Iaroslav Ispolatov

The processes and mechanisms underlying the origin and maintenance of biological diversity have long been of central importance in ecology and evolution. The competitive exclusion…

q-bio.PE2019★ 11 cited

Competition-driven evolution of organismal complexity

Iaroslav Ispolatov, Evgeniia Alekseeva, Michael Doebeli

Non-uniform rates of morphological evolution and evolutionary increases in organismal complexity, captured in metaphors like "adaptive zones", "punctuated equilibrium" and "blunder…

q-bio.PE2018

A note on the complexity of evolutionary dynamics in a classic consumer-resource model

Iaroslav Ispolatov, Michael Doebeli

We study how the complexity of evolutionary dynamics in the classic MacArthur consumer-resource model depends on resource uptake and utilization rates. The traditional assumption i…

q-bio.PE2017★ 66 cited

Optimal number of spacers in CRISPR arrays

Alexander Martynov, Konstantin Severinov, Yaroslav Ispolatov

We estimate the number of spacers in a CRISPR array of a bacterium which maximizes its protection against a viral attack. The optimality follows from a competition between two tren…

q-bio.PE2017★ 42 cited

Diversity and coevolutionary dynamics in high-dimensional phenotype spaces

Michael Doebeli, Iaroslav Ispolatov

We study macroevolutionary dynamics by extending microevolutionary competition models to long time scales. It has been shown that for a general class of competition models, gradual…

q-bio.PE2015★ 28 cited

Individual-Based models for adaptive diversification in high-dimensional phenotype spaces

Iaroslav Ispolatov, Vaibhav Madhok, Michael Doebeli

Most theories of evolutionary diversification are based on equilibrium assumptions: they are either based on optimality arguments involving static fitness landscapes, or they assum…