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Disentangling microbial networks across pelagic zones in the tropical and subtropical global ocean

Author

Listed:
  • Ina M. Deutschmann

    (Institute of Marine Sciences (ICM), CSIC)

  • Erwan Delage

    (Nantes Université, CNRS UMR 6004, LS2N
    Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE)

  • Caterina R. Giner

    (Institute of Marine Sciences (ICM), CSIC)

  • Marta Sebastián

    (Institute of Marine Sciences (ICM), CSIC)

  • Julie Poulain

    (Université Paris-Saclay)

  • Javier Arístegui

    (Universidad de Las Palmas de Gran Canaria, ULPGC)

  • Carlos M. Duarte

    (King Abdullah University of Science and Technology (KAUST), Red Sea Research Center (RSRC))

  • Silvia G. Acinas

    (Institute of Marine Sciences (ICM), CSIC)

  • Ramon Massana

    (Institute of Marine Sciences (ICM), CSIC)

  • Josep M. Gasol

    (Institute of Marine Sciences (ICM), CSIC)

  • Damien Eveillard

    (Nantes Université, CNRS UMR 6004, LS2N
    Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE)

  • Samuel Chaffron

    (Nantes Université, CNRS UMR 6004, LS2N
    Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans GOSEE)

  • Ramiro Logares

    (Institute of Marine Sciences (ICM), CSIC)

Abstract

Microbial interactions are vital in maintaining ocean ecosystem function, yet their dynamic nature and complexity remain largely unexplored. Here, we use association networks to investigate possible ecological interactions in the marine microbiome among archaea, bacteria, and picoeukaryotes throughout different depths and geographical regions of the tropical and subtropical global ocean. Our findings reveal that potential microbial interactions change with depth and geographical scale, exhibiting highly heterogeneous distributions. A few potential interactions were global, meaning they occurred across regions at the same depth, while 11-36% were regional within specific depths. The bathypelagic zone had the lowest proportion of global associations, and regional associations increased with depth. Moreover, we observed that most surface water associations do not persist in deeper ocean layers despite microbial vertical dispersal. Our work contributes to a deeper understanding of the tropical and subtropical global ocean interactome, which is essential for addressing the challenges posed by global change.

Suggested Citation

  • Ina M. Deutschmann & Erwan Delage & Caterina R. Giner & Marta Sebastián & Julie Poulain & Javier Arístegui & Carlos M. Duarte & Silvia G. Acinas & Ramon Massana & Josep M. Gasol & Damien Eveillard & S, 2024. "Disentangling microbial networks across pelagic zones in the tropical and subtropical global ocean," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-44550-y
    DOI: 10.1038/s41467-023-44550-y
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    References listed on IDEAS

    as
    1. Edward F. DeLong, 2009. "The microbial ocean from genomes to biomes," Nature, Nature, vol. 459(7244), pages 200-206, May.
    2. Dennis A. Hansell & Craig A. Carlson, 1998. "Deep-ocean gradients in the concentration of dissolved organic carbon," Nature, Nature, vol. 395(6699), pages 263-266, September.
    3. Felix Milke & Jens Meyerjürgens & Meinhard Simon, 2023. "Ecological mechanisms and current systems shape the modular structure of the global oceans’ prokaryotic seascape," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    4. Kevin McCann & Alan Hastings & Gary R. Huxel, 1998. "Weak trophic interactions and the balance of nature," Nature, Nature, vol. 395(6704), pages 794-798, October.
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