(120g) Multidimensional Resource Allocation Predicts Contrarian Reverse Diauxie Phenotype in Pseudomonas Aeruginosa
AIChE Annual Meeting
2022
2022 Annual Meeting
Food, Pharmaceutical & Bioengineering Division
Computational and systems biology tools for metabolic engineering and cell characterization
Monday, November 14, 2022 - 2:18pm to 2:36pm
Pseudomonas aeruginosa is a globally-distributed bacterium with many industrial applications and often found in medical infections. The bacterium does not utilize a classic diauxie phenotype, as defined by model microorganisms, nor does it follow common systems biology assumptions including preferential consumption of glucose with an âoverflowâ metabolism. Despite these contradictions, P. aeruginosa is competitive in many, disparate environments underscoring knowledge gaps in microbial ecology and systems biology. Physiological, omics, and in silico analyses were used to quantify the P. aeruginosa carbon catabolite repression strategy known as âreverse diauxieâ. An ecological basis of reverse diauxie was identified using a genome-scale, metabolic model interrogated with in vitro omics data. Reverse diauxie preference for lower energy, nonfermentable carbon sources, such as acetate or succinate over glucose, was predicted using a multidimensional strategy which minimized resource investment into central metabolism while completely oxidizing substrates. Application of a common, in silico optimization criterion, which maximizes growth rate, did not predict the reverse diauxie phenotypes. This study quantifies P. aeruginosametabolic strategies foundational to its wide distribution, usefulness as a biocatalyst, and virulence including its potential for mutualistic interactions with microorganisms found commonly in the environment and in medical infections.