Strains of the bacterium Pseudomonas aeruginosa that use secondary metabolism to make surfactants and change the surface tension of the liquid that surrounds them do so only if they can first meet their primary metabolic needs.

Shearing in fluid flow induces or enhances budding dispersal in microbial populations, resulting in stronger cooperative behavior.

A novel computation tool for microbial community modeling predicts the evolution and diversification of E. coli in laboratory evolution experiments and gives insight into the underlying metabolic processes.

Phylogenomics reveals the timeline over which marine bacteria and archaea colonized the oceans and shows the geological context of their diversification.

High-resolution simulations of evolving microbial populations reveal that microscopic epistasis slows the rate of adaptation, while clonal interference can either speed it up or leave it fixed.

From public microbial genomes, VirSorter revealed 12,498 viral genome sequences that expand the map of the global virosphere and whose analyses improve understanding of viral taxonomy, evolution and virus-host interactions.

Phenotypic heterogeneity at the single-cell level of cellulosomal machinery biosynthesis suggests a division-of-labor strategy as revealed by the nanoscale mechanistic and ecological investigation of in situ structure and distribution of cellulosomes on bacteria while interacting with the cellulosic substrate.

The genome of Thermovibrio ammonificans encodes ancestral pathways (e.g., hydrogen oxidation) and more recently acquired ones (e.g., nitrate reduction) and a hybrid pathway for CO₂ fixation.

Homologous recombination rates tend to be highest in the most conserved parts of bacterial genomes.

Multiobjective artificial selection methods from evolutionary computing show promise for improving directed evolution outcomes when selecting for multiple traits of interest.