Metaproteomic analysis decodes trophic interactions of microorganisms in the dark ocean.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
30 Jul 2024
Historique:
received: 14 07 2023
accepted: 24 07 2024
medline: 31 7 2024
pubmed: 31 7 2024
entrez: 30 7 2024
Statut: epublish

Résumé

Proteins in the open ocean represent a significant source of organic matter, and their profiles reflect the metabolic activities of marine microorganisms. Here, by analyzing metaproteomic samples collected from the Pacific, Atlantic and Southern Ocean, we reveal size-fractionated patterns of the structure and function of the marine microbiota protein pool in the water column, particularly in the dark ocean (>200 m). Zooplankton proteins contributed three times more than algal proteins to the deep-sea community metaproteome. Gammaproteobacteria exhibited high metabolic activity in the deep-sea, contributing up to 30% of bacterial proteins. Close virus-host interactions of this taxon might explain the dominance of gammaproteobacterial proteins in the dissolved fraction. A high urease expression in nitrifiers suggested links between their dark carbon fixation and zooplankton urea production. In summary, our results uncover the taxonomic contribution of the microbiota to the oceanic protein pool, revealing protein fluxes from particles to the dissolved organic matter pool.

Identifiants

pubmed: 39080340
doi: 10.1038/s41467-024-50867-z
pii: 10.1038/s41467-024-50867-z
doi:

Substances chimiques

Bacterial Proteins 0
Proteome 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6411

Subventions

Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : I5942-N
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : P34304-B
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : TAI534
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : P35248
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : P35619-B
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : P28781-B21
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : AP3558721
Organisme : National Science Foundation (NSF)
ID : OCE 1634009

Informations de copyright

© 2024. The Author(s).

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Auteurs

Zihao Zhao (Z)

Department of Functional and Evolutionary Ecology, Bio-Oceanography and Marine Biology Unit, University of Vienna, Vienna, Austria. zihao.zhao@univie.ac.at.

Chie Amano (C)

Department of Functional and Evolutionary Ecology, Bio-Oceanography and Marine Biology Unit, University of Vienna, Vienna, Austria.

Thomas Reinthaler (T)

Department of Functional and Evolutionary Ecology, Bio-Oceanography and Marine Biology Unit, University of Vienna, Vienna, Austria.

Federico Baltar (F)

Department of Functional and Evolutionary Ecology, Bio-Oceanography and Marine Biology Unit, University of Vienna, Vienna, Austria.
Shanghai Engineering Research Center of Hadal Science and Technology, College of Marine Sciences, Shanghai Ocean University, Shanghai, China.

Mónica V Orellana (MV)

Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA, USA.
Institute for Systems Biology, Seattle, WA, USA.

Gerhard J Herndl (GJ)

Department of Functional and Evolutionary Ecology, Bio-Oceanography and Marine Biology Unit, University of Vienna, Vienna, Austria. gerhard.herndl@univie.ac.at.
NIOZ, Department of Marine Microbiology and Biogeochemistry, Royal Netherlands Institute for Sea Research, Utrecht University, Den Burg, The Netherlands. gerhard.herndl@univie.ac.at.
Environmental & Climate Research Hub, University of Vienna, Vienna, Austria. gerhard.herndl@univie.ac.at.

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