Diversity and evolution of nitric oxide reduction
Abstract
Nitrogen is an essential element for life, with the availability of fixed nitrogen limiting productivity in many ecosystems. The return of oxidized nitrogen species to the atmospheric N₂ pool is predominately catalyzed by microbial denitrification (NO₃⁻ → NO₂⁻ → NO → N₂O → N₂). Incomplete denitrification can produce N2O as a terminal product, leading to an increase in atmospheric N₂O, a potent greenhouse and ozone depleting gas. The production of N₂O is catalyzed by nitric oxide reductase (NOR) members of the heme-copper oxidoreductase (HCO) superfamily. Here we propose that a number of uncharacterized HCO families perform nitric oxide reduction and demonstrate that an enzyme from Rhodothermus marinus, belonging to one of these families does perform nitric oxide reduction. These families have novel active-site structures and several have conserved proton channels, suggesting that they might be able to couple nitric oxide reduction to energy conservation. They also exhibit broad phylogenetic and environmental distributions, expanding the diversity of microbes that can perform denitrification. Phylogenetic analyses of the HCO superfamily demonstrate that nitric oxide reductases evolved multiple times independently from oxygen reductases, suggesting that complete denitrification evolved after aerobic respiration.
Additional Information
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. Version 1 - October 15, 2021; Version 2 - November 10, 2021. We would like to thank NIH for funding this research (Grant # , Principle Investigator: Dr. Robert Gennis). We thank Sylvia Choi for providing pure ba3 oxygen reductase from Thermus thermophilus to use as a control for oxygen reductase assays and for heme extraction, Lici Schurig-Briccio for guidance in performing nitric oxide reductase assays with the Clark Electrode and Peter Yau at the University of Illinois' Mass spectrometric facility for protein identification. We thank Alon Philosof and Connor Skennerton for valuable discussions on bioinformatics analysis. A portion of this research was performed under the Facilities Integrating Collaborations for User Science (FICUS) initiative (award 503546 to R.H.) and used resources at the DOE Joint Genome Institute and the Environmental Molecular Sciences Laboratory, which are DOE Office of Science User Facilities. Both facilities are sponsored by the Office of Biological and Environmental Research and operated under Contract Nos. DE-AC02-05CH11231 (JGI) and DE-AC05-76RL01830 (EMSL). The authors declare no competing interests.Attached Files
Submitted - 2021.10.15.464467v2.full.pdf
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Additional details
- Eprint ID
- 111708
- DOI
- 10.1101/2021.10.15.464467
- Resolver ID
- CaltechAUTHORS:20211102-192525571
- NIH
- Department of Energy (DOE)
- DE-AC02-05CH11231
- Department of Energy (DOE)
- DE-AC05-76RL01830
- Created
-
2021-11-02Created from EPrint's datestamp field
- Updated
-
2021-11-11Created from EPrint's last_modified field