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

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Title: Microbial community dynamics over large spatial and environmental gradients in a subtropical ocean basin.
Authors: Anderson, Sean R.1,2 seanceltics34@gmail.com, Silliman, Katherine3,4, Barbero, Leticia3,5, Gomez, Fabian A.4,6, Stauffer, Beth A.7, Schnetzer, Astrid8, Kelble, Christopher R.3, Thompson, Luke R.3,4 luke.thompson@noaa.gov
Source: Applied & Environmental Microbiology. Feb2026, Vol. 92 Issue 2, p1-30. 30p.
Subjects: Microbial communities, Prokaryotes, Genetic barcoding, Statistical models, Protista
Geographic Terms: Gulf of Mexico
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 (Prochlorococcus and Synechococcus) were differently impacted by nutrients, salinity, and pH in ways that often followed their expected ecological niches. Representatives of protist parasites (Syndiniales) and grazers (Sagenista) showed group-specific nonlinear associations with salinity, oxygen, nutrients, and temperature. Using GAMs, we expanded the spatial resolution of DNA sampling and predicted surface log abundances at 84 cruise sites lacking amplicon data. Indicator analysis was performed with sequence-level data, revealing several protists that were indicative of more acidic waters and the absence of any significant prokaryote indicators. Our results provide the first basin-scale survey of microbes in the GOM and highlight the need for coordinated omics and environmental sampling to improve predictions of microbial responses to changing conditions. [ABSTRACT FROM AUTHOR]
Copyright of Applied & Environmental Microbiology is the property of American Society for Microbiology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Microbial community dynamics over large spatial and environmental gradients in a subtropical ocean basin.
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  Data: <searchLink fieldCode="AR" term="%22Anderson%2C+Sean+R%2E%22">Anderson, Sean R.</searchLink><relatesTo>1,2</relatesTo><i> seanceltics34@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Silliman%2C+Katherine%22">Silliman, Katherine</searchLink><relatesTo>3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Barbero%2C+Leticia%22">Barbero, Leticia</searchLink><relatesTo>3,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Gomez%2C+Fabian+A%2E%22">Gomez, Fabian A.</searchLink><relatesTo>4,6</relatesTo><br /><searchLink fieldCode="AR" term="%22Stauffer%2C+Beth+A%2E%22">Stauffer, Beth A.</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Schnetzer%2C+Astrid%22">Schnetzer, Astrid</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Kelble%2C+Christopher+R%2E%22">Kelble, Christopher R.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Thompson%2C+Luke+R%2E%22">Thompson, Luke R.</searchLink><relatesTo>3,4</relatesTo><i> luke.thompson@noaa.gov</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+%26+Environmental+Microbiology%22">Applied & Environmental Microbiology</searchLink>. Feb2026, Vol. 92 Issue 2, p1-30. 30p.
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  Data: <searchLink fieldCode="DE" term="%22Microbial+communities%22">Microbial communities</searchLink><br /><searchLink fieldCode="DE" term="%22Prokaryotes%22">Prokaryotes</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+barcoding%22">Genetic barcoding</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+models%22">Statistical models</searchLink><br /><searchLink fieldCode="DE" term="%22Protista%22">Protista</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Gulf+of+Mexico%22">Gulf of Mexico</searchLink>
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  Label: Abstract
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  Data: 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 (Prochlorococcus and Synechococcus) were differently impacted by nutrients, salinity, and pH in ways that often followed their expected ecological niches. Representatives of protist parasites (Syndiniales) and grazers (Sagenista) showed group-specific nonlinear associations with salinity, oxygen, nutrients, and temperature. Using GAMs, we expanded the spatial resolution of DNA sampling and predicted surface log abundances at 84 cruise sites lacking amplicon data. Indicator analysis was performed with sequence-level data, revealing several protists that were indicative of more acidic waters and the absence of any significant prokaryote indicators. Our results provide the first basin-scale survey of microbes in the GOM and highlight the need for coordinated omics and environmental sampling to improve predictions of microbial responses to changing conditions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Applied & Environmental Microbiology is the property of American Society for Microbiology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1128/aem.01889-25
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      – Code: eng
        Text: English
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        PageCount: 30
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      – SubjectFull: Microbial communities
        Type: general
      – SubjectFull: Prokaryotes
        Type: general
      – SubjectFull: Genetic barcoding
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      – SubjectFull: Statistical models
        Type: general
      – SubjectFull: Protista
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      – SubjectFull: Gulf of Mexico
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      – TitleFull: Microbial community dynamics over large spatial and environmental gradients in a subtropical ocean basin.
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              Text: Feb2026
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              Y: 2026
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