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Phyloecology of nitrate ammonifiers and their importance relative to denitrifiers in global terrestrial biomes

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  • Aurélien Saghaï

    (Swedish University of Agricultural Sciences, Department of Forest Mycology and Plant Pathology)

  • Grace Pold

    (Swedish University of Agricultural Sciences, Department of Forest Mycology and Plant Pathology)

  • Christopher M. Jones

    (Swedish University of Agricultural Sciences, Department of Forest Mycology and Plant Pathology)

  • Sara Hallin

    (Swedish University of Agricultural Sciences, Department of Forest Mycology and Plant Pathology)

Abstract

Nitrate ammonification is important for soil nitrogen retention. However, the ecology of ammonifiers and their prevalence compared with denitrifiers, being competitors for nitrate, are overlooked. Here, we screen 1 million genomes for nrfA and onr, encoding ammonifier nitrite reductases. About 40% of ammonifier assemblies carry at least one denitrification gene and show higher potential for nitrous oxide production than consumption. We then use a phylogeny-based approach to recruit gene fragments of nrfA, onr and denitrification nitrite reductase genes (nirK, nirS) in 1861 global terrestrial metagenomes. nrfA outnumbers the nearly negligible onr counts in all biomes, but denitrification genes dominate, except in tundra. Random forest modelling teases apart the influence of the soil C/N on nrfA-ammonifier vs denitrifier abundance, showing an effect of nitrate rather than carbon content. This study demonstrates the multiple roles nitrate ammonifiers play in nitrogen cycling and identifies factors ultimately controlling the fate of soil nitrate.

Suggested Citation

  • Aurélien Saghaï & Grace Pold & Christopher M. Jones & Sara Hallin, 2023. "Phyloecology of nitrate ammonifiers and their importance relative to denitrifiers in global terrestrial biomes," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-44022-3
    DOI: 10.1038/s41467-023-44022-3
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    References listed on IDEAS

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    1. Hanqin Tian & Rongting Xu & Josep G. Canadell & Rona L. Thompson & Wilfried Winiwarter & Parvadha Suntharalingam & Eric A. Davidson & Philippe Ciais & Robert B. Jackson & Greet Janssens-Maenhout & Mic, 2020. "A comprehensive quantification of global nitrous oxide sources and sinks," Nature, Nature, vol. 586(7828), pages 248-256, October.
    2. Daniel W. Apley & Jingyu Zhu, 2020. "Visualizing the effects of predictor variables in black box supervised learning models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(4), pages 1059-1086, September.
    3. Frederick A Matsen IV & Steven N Evans, 2013. "Edge Principal Components and Squash Clustering: Using the Special Structure of Phylogenetic Placement Data for Sample Comparison," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-15, March.
    4. Oliver Einsle & Albrecht Messerschmidt & Petra Stach & Gleb P. Bourenkov & Hans D. Bartunik & Robert Huber & Peter M. H. Kroneck, 1999. "Structure of cytochrome c nitrite reductase," Nature, Nature, vol. 400(6743), pages 476-480, July.
    5. R. L. Thompson & L. Lassaletta & P. K. Patra & C. Wilson & K. C. Wells & A. Gressent & E. N. Koffi & M. P. Chipperfield & W. Winiwarter & E. A. Davidson & H. Tian & J. G. Canadell, 2019. "Acceleration of global N2O emissions seen from two decades of atmospheric inversion," Nature Climate Change, Nature, vol. 9(12), pages 993-998, December.
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