Modeling microbial interactions in synthetic communities offers insights into environmental processes.
Scientists develop a multimodal imaging approach to study microbe–semiconductor biohybrids at the single-cell to single-molecule level.
By collecting the locations of 1,000-plus chloroplast-associated proteins, the atlas offers insights into protein functions and chloroplast organization.
Scientists find the key to engineering plant signaling to allow colonization by beneficial fungi.
Scientists discover unexploited biosynthetic pathways and redesign them to produce useful bioproducts in a wide range of microbes.
Study points to traits and genes in controlling the root microbiome of switchgrass, a biofuel feedstock and native North American prairie grass.
A new strategy makes the stable introduction of new traits simple for newly discovered bacteria.
The National Microbiome Data Collaborative’s community learning program trains early-career researchers.
Snekmer allows scientists to use rapid prototyping to better understand the function of proteins in microbes.
Viruses may have unanticipated consequences for ecosystem responses to climate change
Researchers demonstrate a real-world large-scale application of deep neural network models for discovering novel protein-protein interactions.
Researchers use particle-resolved model simulations to quantify errors in simulations’ simplified optical properties.
