Homeostatic control of nitric oxide (NO) at nanomolar concentrations in denitrifying bacteria – modelling and experimental determination of NO reductase kinetics in vivo in Paracoccus denitrificans

Journal Article (2016)
Author(s)

Junaid Hassan (Norwegian University of Life Sciences (NMBU))

Linda L. Bergaust (Norwegian University of Life Sciences (NMBU))

Lars Molstad (Norwegian University of Life Sciences (NMBU))

Simon De Vries (TU Delft - BT/Biocatalysis)

Lars R. Bakken (Norwegian University of Life Sciences (NMBU))

Research Group
BT/Biocatalysis
DOI related publication
https://doi.org/10.1111/1462-2920.13129
More Info
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Publication Year
2016
Language
English
Research Group
BT/Biocatalysis
Issue number
9
Volume number
18
Pages (from-to)
2964-2978

Abstract

Homeostatic control of nitric oxide (NO) at nanomolar concentrations appears common among denitrifying bacteria, often ascribed to synchronized expression of nitrite and nitric oxide reductase (Nir and Nor). We questioned whether this is sufficient: using the reported substrate affinities for cytochrome cd1 nitrite reductase (cNor), our model of batch cultures of Paracoccus denitrificans predicted NO concentrations orders of magnitude higher than measured. We rejected a hypothesis that the homeostatic control is due to a negative feedback by NO on the activity of NirS because the inclusion of such feedback resulted in too slow anaerobic growth and N2 production. We proceeded by determining the kinetic parameters for cNor in vivo by a carefully designed experiment, allowing the estimation of NO concentration at the cell surface while anoxic cultures depleted low headspace doses of NO. With the new parameters for cNor kinetics in vivo {v = vmax/[1 + K2/(NO) + K1 × K2/(NO)2]; vmax = 3.56 fmol NO cell−1 h−1, K1 < 1 nM, and K2 = 34 nM}, the model predicted NO concentrations close to that measured. Thus, enzyme kinetics alone can explain the observed NO homeostasis. Determinations of enzyme kinetic parameters in vivo are not trivial but evidently required to understand and model NO kinetics in denitrifying organisms in soils and aquatic environments.

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