Evidence map›Paper›PMID 41540059›Full record

ArticleScientific data2026

Global deep-sea hydrothermal deposit metagenomes and metagenome-assembled genomes over time and space.

Emily St John, Anna-Louise Reysenbach

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

2 authors.

Emily St JohnCenter for Life in Extreme Environments, Portland State University, Portland, OR, 97201, USA.
Anna-Louise ReysenbachCenter for Life in Extreme Environments, Portland State University, Portland, OR, 97201, USA. reysenbacha@pdx.edu.

Funding

National Science Foundation DEB-2409507
6 · The paper itself

Abstract

Actively venting high temperature deep-sea hydrothermal vent deposits along tectonic spreading centers and in backarc basins harbor a rich diversity of thermophilic Bacteria and Archaea, many of which have no representatives in cultivation nor any genomic representation in databases. Here, in order to produce a global-scale time series metagenomic resource for studying the microbial functional and genomic diversity in these high temperature ecosystems, we obtained 70 metagenomes from collections across spatial and temporal gradients from 21 different vent fields spanning 16 years (1993-2009). The dataset (Deep-Sea Hydrothermal Vent dataset (DSV70)) includes 3.56 Tbp of raw DNA sequence reads, that have been assembled to produce 7,422 medium- to high-quality (based on CheckM2) metagenome-assembled genomes (MAGs) of Bacteria (6,063 MAGs) and Archaea (1,359 MAGs). Collectively, this DSV70 dataset and the published 40 metagenomes from more recent deep-sea collections (2004 to 2018), represent a valuable resource for exploring the functional and phylogenomic diversity of the deep-sea hydrothermal microbiomes, and provide many reference genomes for studies in the taxonomy and systematics of poorly studied microbial lineages. Further, with the interest in mining the mineral resources at deep-sea vents, the DSV70 provides a genomic legacy for monitoring impacts on the microbial communities in these systems.

Indexed as

ArchaeaHydrothermal VentsMetagenomeBacteriaGenome, Archaeal

Identifiers

PMID41540059
PMCPMC12920610

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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.