Pseudomonas aeruginosa reverse diauxie is a multidimensional, optimized, resource utilization strategy

Abstract

Pseudomonas aeruginosa is a globally-distributed bacterium often found in medical infections. The opportunistic pathogen uses a different, carbon catabolite repression (CCR) strategy than many, model microorganisms. It does not utilize a classic diauxie phenotype, nor does it follow common systems biology assumptions including preferential consumption of glucose with an ‘overflow’ 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 CCR strategy known as ‘reverse diauxie’. 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. aeruginosa metabolic strategies foundational to its wide distribution and virulence including its potentially, mutualistic interactions with microorganisms found commonly in the environment and in medical infections.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 14, 2021
Source ID
10.1038/s41598-020-80522-8

Entities

People

  • Kristopher A Hunt
  • Luke Hanley
  • Michael A Henson
  • Ross P Carlson
  • S. Lee Mcgill
  • Yeni Yung

Organizations

  • Army Research Office
  • National Institutes of Health

Tags

Fields of Study

  • Biology

Readers

  • Microbial Pathology
  • Molecular Genetics
  • Theoretical Analysis.

Technology Areas

  • Biotechnology