Map between a coding space (genotype), and another space, called the phenotype. These appear, for instance, in Evolution.

See MMathPhys oral presentation

Distribution of genotype network sizes in sequence-to-structure genotype–phenotype maps – Structural properties of genotype–phenotype maps

The structure of the genotype-phenotype map strongly constraints the evolution of non-coding RNA – Genetic Correlations Greatly Increase Mutational Robustness and Can Both Reduce and Enhance Evolvability

Types of GP relation

• Genetic dominance – Mode of inheritance. Traditional picture applies only sometimes, to traits called Mendelian traits. Modern picture shows it can all be much more complicated: partial dominance, pleiotropy, etc.
• Pleiotropy. Genes that affect many traits.
• Epistasis. Gene whose effect depends on other genes.

Structure of the GP map

Genotype–phenotype mapping and the end of the ‘genes as blueprint’ metaphor

Distribution of genotype network sizes in sequence-to-structure genotype–phenotype maps

Developmental encoding or indirect encoding: you encode the instructions to build the system (by Morphogenesis), instead of the system itself (direct encoding). See Neuroevolution: Direct and Indirect Encoding of Networks. Comparing direct and developmental encoding schemes in artificial evolution

Genotype-phenotype maps - Stadler Ideas extending standard topology to explore the spaces defined by GPMs

Evolving scalable and modular adaptive networks with Developmental Symbolic Encoding Ideas of evolvable GPMs, evolving evolvability, etc.

Effects

Bias in GP maps

Simplicity bias

Related concepts

Basin of attraction

Network topology of neutral networks

Topological Structure of the Space of Phenotypes: The Case of RNA Neutral Networks