An integrated network analysis reveals that nitric oxide reductase prevents metabolic cycling of nitric oxide by Pseudomonas aeruginosa
Journal article, 2017

Nitric oxide (NO) is a chemical weapon within the arsenal of immune cells, but is also generated endogenously by different bacteria. Pseudomonas aeruginosa are pathogens that contain an NO-generating nitrite (NO2 ) reductase (NirS), and NO has been shown to influence their virulence. Interestingly, P. aeruginosa also contain NO dioxygenase (Fhp) and nitrate (NO3 (-)) reductases, which together with NirS provide the potential for NO to be metabolically cycled (NO -> NO3 (-)-> NO2 (-)-> NO). Deeper understanding of NO metabolism in P. aeruginosa will increase knowledge of its pathogenesis, and computational models have proven to be useful tools for the quantitative dissection of NO biochemical networks. Here we developed such a model for P. aeruginosa and confirmed its predictive accuracy with measurements of NO, O-2, NO2 (-), and NO3 (-) in mutant cultures devoid of Fhp or NorCB (NO reductase) activity. Using the model, we assessed whether NO was metabolically cycled in aerobic P. aeruginosa cultures. Calculated fluxes indicated a bottleneck at NO3 (-), which was relieved upon O-2 depletion. As cell growth depleted dissolved O-2 levels, NO3 (-) was converted to NO2 (-) at near-stoichiometric levels, whereas NO2 (-) consumption did not coincide with NO or NO3 (-) accumulation. Assimilatory NO2 reductase (NirBD) or NorCB activity could have prevented NO cycling, and experiments with Delta nirB,Delta nirS, and Delta norC showed that NorCB was responsible for loss of flux from the cycle. Collectively, this work provides a computational tool to analyze NO metabolism in P. aeruginosa, and establishes that P. aeruginosa use NorCB to prevent metabolic cycling of NO.

Oscillations

Kinetic model

Fhp

Metabolic cycle

NO reductase

Denitrification

Author

Jonathan Robinson

Princeton University

J. M. Jaslove

Rutgers Robert Wood Johnson Medical School

Princeton University

A. M. Murawski

Princeton University

C. H. Fazen

Princeton University

M. P. Brynildsen

Princeton University

Metabolic Engineering

1096-7176 (ISSN) 1096-7184 (eISSN)

Vol. 41 67-81

Subject Categories

Condensed Matter Physics

DOI

10.1016/j.ymben.2017.03.006

PubMed

28363762

More information

Latest update

6/3/2019 2