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 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.
To understand how regeneration works across the different scales of living systems, we first need to identify the essential components underlying this process.
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.
Host characteristics drive the assembly of similar communities within the convergently evolved and geographically distant pitcher ecosystems of carnivorous pitcher plants.
A model of purely competitive ecological dynamics is shown to be equivalent to adaptive evolution of a single individual, suggesting a new way to formalize the "superorganism" metaphor.
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.
Environmental heterogeneity can dramatically reduce the efficacy of selection and alter the neutral evolutionary dynamics in microbial range expansions.
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.
