Rugged Fitness Landscape

The affinity between an antibody and an antigen is given by the generalized nk model gnk model derived from the nk model originally introduced to model a rugged fitness landscape 82 95 and.

Rugged fitness landscape. In smooth landscapes with a single peak each mutation has a fixed effect on fitness fig. Jain and krug 2007 a limiting situation that is often referred to as the house of cards hoc landscape kingman 1978. The effect of traits on organism fitness is dependent on the environment so we can see how b unimodal and c rugged multimodal fitness landscapes appear along an environmental gradient. On a rugged landscape the adaptive walk can become trapped by local fitness optima.

The bottom right is more rugged than the bottom left. A fitness landscape with many local peaks surrounded by deep valleys is called rugged. This last assumption implies that the fitness landscape underlying the adaptive process is maximally rugged with many local maxima and minima kauffman and levin 1987. Thus the landscape is rugged with multiple peaks.

Conceptually this function can be. A rugged fitness landscape can or more precisely should differ from research that assumes underlying decomposability. These models assume that the community weighted mean trait value in a community is a function of the environment. 1 a whereas in rugged landscapes with multiple peaks fig.

The smooth landscape depicted on the top is not un epistatic. If all genotypes have the same replication rate on the other hand a fitness landscape is said to be flat. Fitness functions and landscapes a fitness function serves to map a set of attributes into a single value that is indicative of the de sirability of the particular combination. The ruggedness of the fitness landscape is a measure of the prevalence of fitness interactions among genes.

1 b the effect of each mutation can depend on the other mutations an individual has. An evolving population typically climbs uphill in the fitness landscape by a series of small genetic changes until in the infinite time limit a local optimum is reached. The bottom right is more rugged than the bottom left. There is epistasis interaction between gene or mutations as can be seen if you imagine moving from the bottom left corner to either neighboring corner.

There is epistasis interaction between gene or mutations as can be seen if you imagine moving from the bottom left corner to the either neighboring corner.