UC San Diego

Specialized metabolites produced by pathogens such as Pseudomonas aeruginosa play multiple roles such as signaling molecules in biosynthesis and chemical communications, virulence factors, or functional molecules in order to develop antibiotic resistance. The characterization and quantitative analysis of the specialized metabolites production would help us study the virulence of pathogens, or the chemical responses of bacteria under antibiotic treatment. Also, metabolomics study of the specialized metabolites production in large scale of P.aeruginosa samples collected from multiple patients at different time frame would guide us to understand the dynamic change of metabolomics profiles of different P.aeruginosa strains. Here we use two mass spectrometry techniques and an advanced mass spectrometry data analysis tool molecular networking to dereplicate and quantitatively compare different levels of specialized metabolites production from various cystic fibrosis related pathogen P.aeruginosa strains and the chemical responses of P.aeruginosa under different levels of antibiotic treatment