Nora S. Martin

The paper introduces a synthetic non-deterministic genotype-phenotype map that captures key features observed in biophysical models, highlighting the role of non-linearities in GP maps.

The paper uses a simplified Rough Mount Fuji model to show that adaptive walks on multi-peaked fitness landscapes can reach high-ranking peaks due to specific landscape features.

The paper predicts fitness landscape ruggedness and navigability using genotype-phenotype map properties like neutral component sizes and evolvability.

The paper analyzes RNA secondary structures to determine if they show signs of positive selection, finding they are mostly random but shaped by developmental bias.

The paper shows that developmental bias, not natural selection, drives the evolutionary trend towards simpler leaf shapes in angiosperms.

The paper shows that non-Poissonian bursts in phenotypic variation arrival rates significantly impact adaptive dynamics, more than fitness differences.