Evidence map›Paper›PMID 40781093›Full record

ArticleScientific data2025

Metagenomes and 1,313 metagenome-assembled genomes from a northern Gulf of Mexico coastal time series.

Conner Y Kojima, Michael W Henson, Jordan T Coelho, V Celeste Lanclos, David Bañuelas, J Cameron Thrash

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Conner Y KojimaDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA.
Michael W HensonDepartment of Biological Sciences, Northern Illinois University, DeKalb, Illinois, USA.
Jordan T CoelhoDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA.
V Celeste LanclosDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA.
David BañuelasDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA.
J Cameron ThrashDepartment of Biological Sciences, University of Southern California, Los Angeles, California, USA. thrash@usc.edu.ORCID 0000-0003-0896-9986

Funding

National Science Foundation (NSF) OCE-1931113Simons Foundation Simons Investigator in Aquatic Microbial Ecology AwardUSC | Wrigley Institute for Environmental Studies, University of Southern California (USC Wrigley Institute for Environmental Studies) Faculty Innovation Research Award
6 · The paper itself

Abstract

Coastal and estuarine systems are hotspots of microbial diversity, activity, and biogeochemical cycling. Despite their importance, we have few comprehensive datasets of microbial populations across space and time from these ecosystems. To improve our understanding of these systems, we generated metagenomes averaging 46 M reads per sample (nearly 389 Gbp total) from four coastal/estuarine locations in the northern Gulf of Mexico across seven timepoints spanning nine months. Using standard methodology combined with a unique assembly and binning approach called subtractive iterative assembly (SIA), we generated 1,313 non-redundant metagenome-assembled genomes (MAGs) with 5% contamination or less and at least 75% completeness. We produced approximately a third of the MAGs through SIA. Actinobacteria and Proteobacteria were represented most. We recovered MAGs of great ecological significance including SAR11, Marine Group I (Thaumarcheaota), Marine Group II Euryarchaeota, SAR324, and Asgardarchaeota. We describe both our methodology using the SIA approach as well as the 28 metagenomes and 1,313 MAGs that provide a rich spatiotemporal dataset with which to study coastal and estuarine microbiology.

Indexed as

MetagenomeWater MicrobiologyGulf of America

Identifiers

PMID40781093
PMCPMC12334582

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.