Diversity and evolution of nitric oxide reduction in bacteria and archaea

We thank the NIH for funding support (grant# U12AB123456 to PI: R.B.G.). This research was also supported by funding from the Agouron Institute (W.W.F. and J.H.) and by the Community Science Project 507064 (PI: R.H.) under the Joint Genome Institute (https://ror.org/04xm1d337), which is a Department of Energy (DOE) Office of Science User Facility. Resources were also used at Office of Biological and Environmental Research of the US Department of Energy Atmospheric System Research Program Interagency Agreement grant DE-AC02-05CH11231 (JGI). Resources were used at Office of Biological and Environmental Research of the United States Department of Energy Atmospheric System Research Program Interagency Agreement grant DE-AC05-76RL01830 Environmental Molecular Sciences Laboratory (EMSL). We thank Sylvia Choi for providing pure ba₃ oxygen reductase from T. thermophilus to use as a control for oxygen reductase assays and for heme extraction, Paige Sheridan for providing purified qNOR from Persephonella marina, Lici Schurig-Briccio for guidance in performing NOR 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. Finally, we would like to thank our reviewers for their valuable comments that led to the improvement of this manuscript.

All the protein accession numbers used for generation of trees in this study, as well as associated phylogenetic trees and multiple sequence alignments are included in the supporting information. The Hidden Markov Models (HMMs) used for identification of HCO sequences can be found at https://github.com/ranjani-m/HCO (67).