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

Evolutionary trade-offs enhance efficacy of antibiotic therapy by constraining bacterial adaptation in dependence of drug order and trade-off effect size.

Caenorhabditis elegans egg-laying behaviour shows pronounced variation in natural populations, making it a promising model to investigate the microevolution of a simple neural circuit.

A theoretical model that considers the diversity of collateral effects among drug resistance mutations provides insights into the development of robust sequential antibiotic treatments.

A unified framework for cell lineage statistics enables quantification of fitness landscapes and selection strength for any cellular lineage traits in a model-independent manner, and reveals the contributions of growth heterogeneity to population growth in diverse experimental model 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.

Gene duplication is a useful strategy to reduce intrinsic noise in gene expression, which can provide a selective advantage in scenarios of cost-benefit analysis of expression.

Analysis of epidemiological data reveals that viral loads in newly HIV-1 infected individuals in Uganda have declined for two decades, and evolutionary modelling shows that attenuation of the virus explains this decline.

Fungi that produce mushrooms have a unique life cycle with two haploid nuclei, instead of a diploid nucleus, this allows additional matings and selection at the level of the nucleus, even with a fitness trade-off.

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.