H3-G34R, V, and W oncohistonesin fission yeast cause differential K36 modification, DNA damage sensitivity and genome stability outcomes, highlighting the need for a thorough evaluation of distinct mutations.

A computational model of the neuronal network that recognizes mating signals reveals network properties that support and constrain behavioral diversity in a species group.

Eukaryotic pathogens, like Cryptococcus deuterogattii, can use elevated mutation rates to more rapidly adapt to stresses, such as drug challenges, but at the cost of lower fitness in less stressful environments.

Increasing the intra-species phenotypic diversity of a plant-beneficial bacterium effectively improves probiotic consortium functioning and plant growth promotion in agricultural systems.

An experimentally constrained model shows that Escherichia coli faces fitness trade-offs in chemotaxis behaviors, and that adaptation of phenotypic diversity through altered gene regulation permits populations to resolve these trade-offs.

Noise in a signaling network comprising thousands of molecules shapes diversity across cell populations and generates giant temporal fluctuations at the single-cell level.

In a minimalistic, generic model of competitive communities in which evolution is constrained by life-history trade-offs, stable biodiversity emerges with species adapted to different functional niches.

Genetic variation can have multiple effects on different phenotypic traits in organisms living in the natural environment.

Genome-wide association studies on a diallel yeast panel revealed the relevance of low-frequency variants on the phenotypic diversity and consequently on the missing heritability at a population-scale.

Experimental evolution shows that when selection acts on two traits constrained by a trade-off, the direction of phenotypic evolution depends on the environment.