Evidence map›Paper›PMID 39073401›Full record

ArticleMicrobiology (Reading, England)2024

Diversity and structure of the deep-sea sponge microbiome in the equatorial Atlantic Ocean.

Sam E Williams, Gilda Varliero, Miguel Lurgi, James E M Stach, Paul R Race, Paul Curnow

Abstract read
In one paragraph

Article in Microbiology (Reading, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  6. bioRxiv : the preprint server for biology · 2025
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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

6 authors.

Sam E WilliamsSchool of Biochemistry, University of Bristol, University Walk, Bristol, BS8 1TD, UK.
Gilda VarlieroRhizosphere Processes Group, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland.
Miguel LurgiDepartment of Biosciences, Swansea University, Singleton Park, Swansea, SA2 8PP, UK.
James E M StachSchool of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Paul R RaceSchool of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Paul CurnowSchool of Biochemistry, University of Bristol, University Walk, Bristol, BS8 1TD, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sponges (phylum Porifera) harbour specific microbial communities that drive the ecology and evolution of the host. Understanding the structure and dynamics of these communities is emerging as a primary focus in marine microbial ecology research. Much of the work to date has focused on sponges from warm and shallow coastal waters, while sponges from the deep ocean remain less well studied. Here, we present a metataxonomic analysis of the microbial consortia associated with 23 individual deep-sea sponges. We identify a high abundance of archaea relative to bacteria across these communities, with certain sponge microbiomes comprising more than 90 % archaea. Specifically, the archaeal family Nitrosopumilaceae is prolific, comprising over 99 % of all archaeal reads. Our analysis revealed that sponge microbial communities reflect the host sponge phylogeny, indicating a key role for host taxonomy in defining microbiome composition. Our work confirms the contribution of both evolutionary and environmental processes to the composition of microbial communities in deep-sea sponges.

Indexed as

ArchaeaBacteriaMicrobiotaPhylogenyPoriferaAnimalsAtlantic OceanBiodiversityRNA, Ribosomal, 16SSeawaterRNA, Ribosomal, 16S16S rRNA gene analysisdeep seametataxonomicsmicrobiomePoriferasponge

Identifiers

PMID39073401
PMCPMC11286294

What OpenQuestion holds

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LicenceCC BY
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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.