The evolution of clonal multicellular life cycles, whose growth is constrained by competition, may lead to coexistence or multistability between several life cycles while evolutionarily stable strategies can be inferred from the analysis of a model with unconstrained growth.

Rapidly diversifying biotic interactions decouple the dynamics of nearly identical strains.

A variant of SELEX introduced here to induce abiotic evolution in a molecular system enables to observe and study speciation, the nature of fitness, and the interplay between use of resources and interactions between individuals.

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.

Diverse histories of viral exposure, for example in individuals of different age, makes viral evolution less predictable with features of adaptive and neutral evolution.

Offspring of plants selected at low and high plant diversity differently respond to global change drivers (nitrogen enrichment, drought), as reflected by their biomass production and trait expression, whereby plant-soil interactions play a significant role in these processes.

Artificial selection on communities drives the evolution of interactions and establishes community-level inheritance.

Analysis of microbial communities in floral nectar shows that it is possible to identify an overarching factor that governs the eco-evolutionary dynamics of priority effects across multiple levels of biological organization.

Seasonal variation in resources causes opposing episodes of selection on body size, which interact with density dependence to influence population dynamics.

The time is right to study biological function without stripping systems of their essential eco-evolutionary context.