A mathematical model predicts the precise conditions for natural selection to favor the evolution of non-reproductive workers in insect colonies with haplodiploid genetics.

A study that models the evolution of drug resistance in tumors reveals that drugs are more effective when given in combination than sequentially, and that cure is much more likely when the drugs target different pathways.

Evolutionary graph theory solves the longstanding puzzle of why diverse infectious diseases and cancers show similar (approximately lognormal) distributions of their incubation periods.

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.

Experiments and mathematical modelling show that rare nitrogen fixing symbionts invade a population dominated by non-fixing bacteria across plant generations, above a threshold of a combination of ecological factors.

Environmental heterogeneity can dramatically reduce the efficacy of selection and alter the neutral evolutionary dynamics in microbial range expansions.

Each dengue serotype contains moderate antigenic diversity, and population immunity drives clade turnover in a hyperendemic population.

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

Whole genome deep sequencing of many longitudinally sampled HIV-1 populations reveals that reversions towards ancestral HIV-1 genome sequences occur throughout the course of infection.

A description of evolution that is based on birth-death processes, and in which fitness is at most a derived quantity, is advocated.