Evidence map›Paper›PMID 41568968›Full record

ArticleApplied and environmental microbiology2026

Microbial community dynamics over large spatial and environmental gradients in a subtropical ocean basin.

Sean R Anderson, Katherine Silliman, Leticia Barbero, Fabian A Gomez, Beth A Stauffer, Astrid Schnetzer, Christopher R Kelble, Luke R Thompson

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2026. 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

8 authors.

Sean R AndersonDepartment of Biological Sciences, University of New Hampshire, Durham, New Hampshire, USA.ORCID 0000-0003-3096-1120
Katherine SillimanNational Oceanic and Atmospheric Administration, Atlantic Oceanographic and Meteorological Laboratory, Ocean Chemistry and Ecosystems Division, Miami, Florida, USA.
Leticia BarberoNational Oceanic and Atmospheric Administration, Atlantic Oceanographic and Meteorological Laboratory, Ocean Chemistry and Ecosystems Division, Miami, Florida, USA.
Fabian A GomezNorthern Gulf Institute, Mississippi State University, Starkville, Mississippi, USA.
Beth A StaufferSchool of Biological Sciences, University of Louisiana at Lafayette, Lafayette, Louisiana, USA.
Astrid SchnetzerMarine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, North Carolina, USA.
Christopher R KelbleNational Oceanic and Atmospheric Administration, Atlantic Oceanographic and Meteorological Laboratory, Ocean Chemistry and Ecosystems Division, Miami, Florida, USA.
Luke R ThompsonNational Oceanic and Atmospheric Administration, Atlantic Oceanographic and Meteorological Laboratory, Ocean Chemistry and Ecosystems Division, Miami, Florida, USA.ORCID 0000-0002-3911-1280

Funding

Cooperative Institute for Marine and Atmospheric Studies, University of Miami NA20OAR4320472National Science Foundation OCE-2019589NOAA Research NA16OAR4320199NOAA Research NA21OAR4320190Ocean Acidification Program 20708Ocean Acidification Program 21392
6 · The paper itself

Abstract

Microbes are fundamental to ocean ecosystem function, yet they remain understudied across broad spatial and environmental scales in dynamic regions like the Gulf of America/Gulf of Mexico (GOM). We employed DNA metabarcoding to characterize prokaryotes (16S V4-V5) and protists (18S V9) across 51 stations, spanning 16 inshore-offshore transects and three depths. Cluster analysis revealed three clusters corresponding to depth zones that integrated vertical and horizontal sampling: photic zone (inshore near surface-bottom and offshore surface), deep chlorophyll maximum (offshore), and aphotic zone (offshore near bottom). We applied group-specific generalized additive models (GAMs) to log-transformed abundance data of major taxa in the photic zone, identifying key environmental factors that explained 42%-82% of the variation in abundance. SAR11 and SAR86 were positively associated with temperature and dissolved inorganic carbon, while cyanobacterial genera (

Indexed as

BacteriaMicrobiotaSeawaterDNA Barcoding, TaxonomicEcosystemGulf of AmericaRNA, Ribosomal, 16SRNA, Ribosomal, 16Senvironmental driversgeneralized additive modelsindicator analysismetabarcodingmicrobesprokaryotesprotistsspatial dynamics

Identifiers

PMID41568968
PMCPMC12915303

What OpenQuestion holds

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Read underepoch 390

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.