Evidence map›Paper›PMID 40034844›Full record

ArticleFEMS microbes2024

Size fractionation informs microbial community composition and interactions in the eastern tropical North Pacific Ocean.

Madeleine A Thompson, David L Valentine, Xuefeng Peng

Abstract read
In one paragraph

Article in FEMS microbes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Environmental Adaptation Strategies of Deep-Sea Fungi.Journal of fungi (Basel, Switzerland) · 2026
    Review
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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

3 authors.

Madeleine A ThompsonSchool of Earth, Ocean, and Environment, University of South Carolina, Columbia, SC 29201, United States.ORCID https://orcid.org/0000-0003-1550-1505
David L ValentineMarine Science Institute, University of California, Santa Barbara, CA 93106, United States.
Xuefeng PengSchool of Earth, Ocean, and Environment, University of South Carolina, Columbia, SC 29201, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine microorganisms are drivers of biogeochemical cycles in the world's oceans, including oxygen minimum zones (OMZs). Using a metabarcoding survey of the 16S rRNA gene, we investigated prokaryotic communities, as well as their potential interactions with fungi, at the coastal, offshore, and peripheral OMZ of the eastern tropical North Pacific. Water samples were collected along a vertical oxygen gradient, and large volumes were filtered through three size fractions, 0.22, 2, and 22 µm. The changes in community composition along the oxygen gradient were driven by Planctomycetota, Bacteroidota, Verrucomicrobiota, and Gammaproteobacteria; most are known degraders of marine polysaccharides and usually associated with the large particle-associated (LPA) community. The relative abundance of Nitrososphaerota, Alphaproteobacteria, Actinomycetota, and Nitrospinota was high in free-living and small particle-associated (SPA) communities. Network analyses identified putative interactions between fungi and prokaryotes in the particle-associated fractions, which have been largely overlooked in the ocean. In the SPAnetwork analysis, fungal amplicon sequence variants (ASVs) had exclusively negative connections with SAR11 nodes. In the LPA network analysis, fungal ASVs displayed both negative and positive connections with Pseudomonadota, SAR324, and Thermoplasmatota. Our findings demonstrate the utility of three-stage size-fractioned filtration in providing novel insights into marine microbial ecology.

Indexed as

community compositionfungi–bacteria interactionsmetabarcodingnetwork analysisoxygen minimum zonesize fractionation

Identifiers

PMID40034844
PMCPMC11873797

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Registered trials

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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.