2,759 research outputs found
Red Queen Coevolution on Fitness Landscapes
Species do not merely evolve, they also coevolve with other organisms.
Coevolution is a major force driving interacting species to continuously evolve
ex- ploring their fitness landscapes. Coevolution involves the coupling of
species fit- ness landscapes, linking species genetic changes with their
inter-specific ecological interactions. Here we first introduce the Red Queen
hypothesis of evolution com- menting on some theoretical aspects and empirical
evidences. As an introduction to the fitness landscape concept, we review key
issues on evolution on simple and rugged fitness landscapes. Then we present
key modeling examples of coevolution on different fitness landscapes at
different scales, from RNA viruses to complex ecosystems and macroevolution.Comment: 40 pages, 12 figures. To appear in "Recent Advances in the Theory and
Application of Fitness Landscapes" (H. Richter and A. Engelbrecht, eds.).
Springer Series in Emergence, Complexity, and Computation, 201
Fluctuation Domains in Adaptive Evolution
We derive an expression for the variation between parallel trajectories in
phenotypic evolution, extending the well known result that predicts the mean
evolutionary path in adaptive dynamics or quantitative genetics. We show how
this expression gives rise to the notion of fluctuation domains - parts of the
fitness landscape where the rate of evolution is very predictable (due to
fluctuation dissipation) and parts where it is highly variable (due to
fluctuation enhancement). These fluctuation domains are determined by the
curvature of the fitness landscape. Regions of the fitness landscape with
positive curvature, such as adaptive valleys or branching points, experience
enhancement. Regions with negative curvature, such as adaptive peaks,
experience dissipation. We explore these dynamics in the ecological scenarios
of implicit and explicit competition for a limiting resource
Spatial gene drives and pushed genetic waves
Gene drives have the potential to rapidly replace a harmful wild-type allele
with a gene drive allele engineered to have desired functionalities. However,
an accidental or premature release of a gene drive construct to the natural
environment could damage an ecosystem irreversibly. Thus, it is important to
understand the spatiotemporal consequences of the super-Mendelian population
genetics prior to potential applications. Here, we employ a reaction-diffusion
model for sexually reproducing diploid organisms to study how a locally
introduced gene drive allele spreads to replace the wild-type allele, even
though it possesses a selective disadvantage . Using methods developed by
N. Barton and collaborators, we show that socially responsible gene drives
require , a rather narrow range. In this "pushed wave" regime, the
spatial spreading of gene drives will be initiated only when the initial
frequency distribution is above a threshold profile called "critical
propagule", which acts as a safeguard against accidental release. We also study
how the spatial spread of the pushed wave can be stopped by making gene drives
uniquely vulnerable ("sensitizing drive") in a way that is harmless for a
wild-type allele. Finally, we show that appropriately sensitized drives in two
dimensions can be stopped even by imperfect barriers perforated by a series of
gaps
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