A set of adaptive mutations affect only a small number of phenotypes that matter in the evolution condition, and yet contain substantial latent functional diversity revealed in distant environments.

Multivariate genotype-phenotype mapping enables quantification of pathway and process-level effects on complex phenotypes and predicts phenotypic effects of novel mutations.

The phenotype of a gene regulatory network depends both qualitatively and quantitatively on the local genetic context of its individual components and cannot necessarily be predicted solely from network's topology.

An inferred mechanistic model that connects sequence (genotype) to function (constitutive gene expression phenotype) for any random sequence in Escherichia coli reveals the structure of constitutive promoters and how they evolve.

Nearly a thousand diverse adaptive mutants converge into a handful of groups for which fitness responds the same way to environmental change.

Heritable variation in the benefit maize plants receive from arbuscular mycorrhizal fungi supports the feasibility of breeding crops to optimize use of this ancient symbiosis.

A bulk barcoded quantitative trait locus approach increases the power and resolution of genotype-phenotype mapping in yeast, revealing that the genetic architecture of 18 complex traits is highly polygenic, and is characterized by widespread epistatic interactions and pleiotropic effects.

A map of the genetic variants affecting chromatin accessibility in 1000 individuals from 10 diverse populations reveals how cis-regulatory variants impact transcription and disease.

Enzyme evolution is reversible on a structural and functional (phenotypic) level, but through a different mutational pathway that leads to genotypic incompatibility with the ancestor.