Siderophore synthetase-receptor gene coevolution reveals habitat- and pathogen-specific bacterial iron interaction networks.

Bacterial social interactions play crucial roles in various ecological, medical, and biotechnological contexts. However, predicting these interactions from genome sequences is notoriously difficult. Here, we developed bioinformatic tools to predict whether secreted iron-scavenging siderophores stimulate or inhibit the growth of community members.

Metabolites limiting predator growth wane with prey biodiversity.

Predator-prey interactions are a major driver of microbiome dynamics, but remain difficult to predict. While several prey traits potentially impact resistance to predation, their effects in a multispecies context remain unclear. Here, we leverage synthetic bacterial communities of varying complexity to identify traits driving palatability for nematodes, a main consumer of bacteria in soil.

Deletion of ACC Deaminase in Symbionts Converts the Host Plant From Water Waster to Water Saver.

Increasing drought events coupled with dwindling water reserves threaten global food production and security. This issue is exacerbated by the use of crops that overconsume water, undermining yield. We show here that microorganisms naturally associated with plant roots can undermine efficient water use, whereas modified bacteria can enhance it.

Inoculum effect of cefiderocol against NDM-1 producing Escherichia coli in vitro and in a murine model of peritonitis.

Introduction: Cefiderocol is a siderophore cephalosporin active in vitro against carbapenemase-producing Enterobacterales, including New Delhi metallo-β-lactamases (NDM-1). A significant impact of the size of bacterial inoculum on its efficacy has been described in vitro, the clinical impact of which is unclear. Here, we analyse the inoculum effect of cefiderocol against E.

Feature sequence-based genome mining uncovers the hidden diversity of bacterial siderophore pathways.

Microbial secondary metabolites are a rich source for pharmaceutical discoveries and play crucial ecological functions. While tools exist to identify secondary metabolite clusters in genomes, precise sequence-to-function mapping remains challenging because neither function nor substrate specificity of biosynthesis enzymes can accurately be predicted. Here, we developed a knowledge-guided bioinformatic pipeline to solve these issues.