@article{3022, keywords = {Gene Expression Regulation, Bacterial, Repressor Proteins, Escherichia coli, Protein Kinases, Membrane Proteins, Escherichia coli Proteins, Catalysis, Oxygen, Bacterial Outer Membrane Proteins, Aerobiosis, Nitric Oxide, Oxygenases, Inactivation, Metabolic}, author = {Sarah Sacco and Kristin Adolfsen and Mark Brynildsen}, title = {An integrated network analysis identifies how ArcAB enables metabolic oscillations in the nitric oxide detoxification network of Escherichia coli.}, abstract = {

The virulences of many pathogens depend on their abilities to detoxify the immune antimicrobial nitric oxide (NO{\textbullet}). The functions of bacterial NO{\textbullet} detoxification machinery depend on oxygen (O ), with O inhibiting some enzymes, whereas others use it as a substrate. Previously, Escherichia coli NO{\textbullet} detoxification was found to be highly attenuated under microaerobic conditions and metabolic oscillations were observed. The oscillations in [NO{\textbullet}] and [O ] were found to result from the inhibitory action of NO{\textbullet} on aerobic respiration, the catalytic inactivation of NO{\textbullet} by Hmp (an NO{\textbullet} dioxygenase), and an imbalanced competition for O between Hmp and cytochrome terminal oxidase activity. Here the authors investigated the role of the ArcAB two component system (TCS) in microaerobic NO{\textbullet} detoxification. The authors observed that wild-type, ΔarcA, and ΔarcB had comparable initial NO{\textbullet} clearance times; however, the mutant cultures failed to exhibit [NO{\textbullet}] and [O ] oscillations. Using an approach that employed experimentation and computational modeling, the authors found that the loss of oscillations in ΔarcA was due to insufficient induction of cytochrome bd-I expression. Collectively, these results establish ArcAB as a TCS that influences NO{\textbullet} detoxification in E. coli within the physiologically-relevant microaerobic regime.

}, year = {2017}, journal = {Biotechnol J}, volume = {12}, month = {2017 Aug}, issn = {1860-7314}, doi = {10.1002/biot.201600570}, language = {eng}, }