Evidence map›Paper›PMID 42063510›Full record

ArticleFrontiers in microbiology2026

Widespread deep-sea microorganisms in subseafloor geochemical cycling.

Renee L Hageman, Sven Le Moine Bauer, Ingunn H Thorseth, Jo Brendryen, Tor Einar Møller, Réka Böröcz, Hannah R Babel, Bjarte Hannisdal, Steffen Leth Jørgensen

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Renee L HagemanCentre for Deep Sea Research, Department of Earth Science, University of Bergen, Bergen, Norway.
Sven Le Moine BauerCentre for Deep Sea Research, Department of Earth Science, University of Bergen, Bergen, Norway.
Ingunn H ThorsethCentre for Deep Sea Research, Department of Earth Science, University of Bergen, Bergen, Norway.
Jo BrendryenCentre for Deep Sea Research, Department of Earth Science, University of Bergen, Bergen, Norway.
Tor Einar MøllerCentre for Deep Sea Research, Department of Earth Science, University of Bergen, Bergen, Norway.
Réka BöröczCentre for Deep Sea Research, Department of Earth Science, University of Bergen, Bergen, Norway.
Hannah R BabelCentre for Deep Sea Research, Department of Earth Science, University of Bergen, Bergen, Norway.
Bjarte HannisdalCentre for Deep Sea Research, Department of Earth Science, University of Bergen, Bergen, Norway.
Steffen Leth JørgensenCentre for Deep Sea Research, Department of Earth Science, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The subseafloor biosphere is one of the largest ecosystems on Earth, hosting dense populations of microbial cells. Microbial activity is critical to the Earth's geochemical cycles of major elements such as carbon and nitrogen. Despite a growing knowledge of subseafloor microbial diversity, the function and environmental significance of the many uncharacterized lineages remain elusive, along with their importance to the Earth's geochemical cycles. Identification of key microorganisms involved in the cycling of major elements is needed for advancing our understanding of how deep-sea sedimentary microbes influence global climate. Here we use the machine learning technique decision tree to identify which microbial families in deep-sea sediments correlate with geochemical variability in oxygen, nitrate, ammonium, and divalent manganese. We analyzed 1,114 deep-sea sediment samples from 60 sites at water depths ranging from 1,050-10,902 m located along the Arctic Mid-Ocean Ridge (20), the Western North Atlantic Gyre (3), the mid-Atlantic ridge (2), the North-West Pacific Ocean (14), the South China Sea (10), and the South Pacific Ocean (11). Decision tree rule mining revealed deep-sea sedimentary microbial families that likely contribute to subseafloor ecosystem functioning worldwide through four main metabolic pathways: aerobic nitrification, facultative anaerobic heterotrophy, anaerobic ammonium oxidation, and anaerobic heterotrophy. These families may thus be relevant targets for cultivation experiments, representation of functional groups in Earth system models, and monitoring of environmental change in deep-sea sediments caused by environmental perturbations (e.g., deep-sea mining and declining ocean oxygen concentrations).

Indexed as

deep-sea sedimentsenvironmental changeenvironmental monitoringenvironmental perturbationsmicrobial communityredox gradientwidespread microorganisms

Identifiers

PMID42063510
PMCPMC13127444

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.