A novel bioinformatic pipeline predicts diverse pyoverdine structures and receptor groups with high accuracy, revealing significant hidden diversity in siderophores systems across Pseudomonas genomes.

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.

Reconstruction of transmission pathways of methicillin-resistant Staphylococcus aureus using multiple genomes per host reveals great variation in the size of the transmission bottleneck and limited evidence for body site/phylogeny association.

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

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

Bactabolize is a pipeline for rapid and scalable production of accurate bacterial strain-specific metabolic models and growth phenotype predictions.

A smart combination of machine learning and high-throughput data generation of bacterial population dynamics successfully leads to an intriguing finding of the differentiation in decision-making components for bacterial growth.

Resident members of natural bacterial communities limit the growth of non-resident bacteria primarily by increasing overall community growth.

The number and effects of mutations leading to full drug resistance crucially determine treatment failure probability and should be used to inform antimicrobial treatment strategies with regard to avoidance of resistance emergence.

A novel species-sorting experiment finds that phylogenetically and functionally distinct microbial communities emerge under different temperature conditions due to the resuscitation of latent diversity.