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.

An open-source python package for phenotype analyses provides a versatile, modular and user-friendly solution to determine complementary fitness-related traits from large-scale assays of microbial colonies.

Three-dimensional fluorescence imaging of microbial eukaryotes in environmental samples allows accurate automated taxonomic profiling and quantitative data about ultrastructures and interactions of organisms.

A multiphase hydrodynamic theory reveals that the dynamics of colony expansion in microbial swarms and biofilms are limited by the constraints of water and nutrient availability.

Two optically transparent substrates enable the exploration of the ecophysiology and spatiotemporal organization and activities of bacteria and fungi within heterogeneous soil-like environments.

High-throughput sequencing has been used to analyze the microbiome of mouse corpses over a period of 48 days, and to provide an accurate estimate of the time since death.

In a consumer-resource model obeying the physical requirement of flux conservation, metabolic competition between microbes yields consortia of cell types that collectively resist invasion via optimal use of resources.

With mathematical modeling being an important source of insight for microbial communities, we may need to move beyond commonly-used pairwise models that do not capture microbial interactions.

This comprehensive transcriptomic resource of dormant and replicating malaria liver parasites highlights the dearth of pathways that operate in the hypnozoites and the need to investigate druggability (i.e. selectivity and safety) of core pathways in malaria parasites.

Gut microbial signatures of domestication parallel those of industrialization, implicating shared ecological drivers.