Preprints
https://doi.org/10.1101/2025.10.28.685123
https://doi.org/10.1101/2025.10.28.685123
25 Mar 2026
 | 25 Mar 2026
Status: this preprint is open for discussion and under review for Biogeosciences (BG).

Global pattern of nitrogen metabolism in marine prokaryotes

Alexandre Schickele, Hadrien Savioz, Nicolas Gruber, Lionel Guidi, Jean-Olivier Irisson, and Meike Vogt

Abstract. The ocean nitrogen cycle is driven by an ensemble of metabolic processes sustaining marine ecosystems and ocean productivity. However, the spatial distribution and environmental drivers of its major pathways, i.e., nitrogen fixation, denitrification, assimilatory and dissimilatory nitrate reduction to ammonium (ANRA, DNRA), and nitrification are not well known. Furthermore, the taxonomic composition of the prokaryotes supporting each pathway remain incompletely understood. Leveraging newly assembled global marine metagenomic datasets and a state-of-the-art machine learning framework, we inferred the global biogeography of the genomic potential for key metabolic pathways of the marine nitrogen cycle. This was achieved using a multi-output regression of gene read counts against environmental climatologies. Our results reveal distinct biogeographic patterns of genomic potential: anaerobic or light-inhibited pathways are enriched in high-latitude regions, eastern boundary upwelling systems, and deeper ocean layers, while nitrogen fixation and ANRA dominate in oligotrophic gyres. These patterns are consistent with known metabolic strategies, model-based estimates, and underlying taxonomy. Indeed, we identify that Cyanobacteria associate primarily with aerobic, biosynthetic pathways, while Gammaproteobacteria and Nitrososphaeria encode for nitrogen transformations related to energy requirements. By coupling microbial community composition with genome-level information, our approach advances understanding of the microbial foundations of nitrogen transformation pathways and offers new insights on underrepresented processes into biogeochemical models. We highlight the growing value of omic data to better understand marine ecosystem function in relation to environmental gradients and community composition, and their use as a potential observation-based alternative or complement to biogeochemical models.

Share
Alexandre Schickele, Hadrien Savioz, Nicolas Gruber, Lionel Guidi, Jean-Olivier Irisson, and Meike Vogt

Status: open (until 06 May 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Alexandre Schickele, Hadrien Savioz, Nicolas Gruber, Lionel Guidi, Jean-Olivier Irisson, and Meike Vogt

Interactive computing environment

Data and code to map the genomic potential for nitrogen metabolism in prokaryotes A. Schickele et al. https://doi.org/10.5281/zenodo.17407277

Alexandre Schickele, Hadrien Savioz, Nicolas Gruber, Lionel Guidi, Jean-Olivier Irisson, and Meike Vogt
Metrics will be available soon.
Latest update: 25 Mar 2026
Download
Short summary
By regulating the ocean nitrogen cycle, microbial plankton recycle nutrients and sustain productivity. Using global genetic data, we mapped where prokaryotes have the potential to carry out key nitrogen transformations. We show that this potential is structured by metabolic requirements, and environmental factors such as oxygen and nutrients concentrations. This reveals how microbial communities shape nitrogen processes and provides new insights to better represent them in global ocean models.
Share