Jiqi Shao

The paper develops a framework to trace siderophore biosynthesis to primary metabolism and applies it to identify metabolic differences between beneficial and pathogenic bacteria.

The paper develops a functional-space framework to analyze siderophore biosynthesis across bacteria, revealing ecological drivers over phylogenetic constraints.

The paper develops a co-evolution algorithm to predict bacterial iron interaction networks based on siderophore synthetase-receptor gene pairs across Pseudomonas genomes, revealing habitat- and pathogen-specific interactions.

The paper develops a bioinformatic pipeline to predict bacterial siderophore structures and receptors from genome sequences, revealing significant diversity in pyoverdines and their receptors.

The paper shows that moderate cheating in microbial communities supports biodiversity by creating self-sustaining exploitation cycles, while excessive cheating leads to system collapse.