gomecc

DNA sampling in the Gulf of America/Mexico (GOM) on GOMECC-4

This repository has QIIME 2 compatible files, metadata, R Markdown files, and all other input files needed for analysis and figure generation for the following manuscript:

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, and Luke R. Thompson, (2025)

1. Summary

Microbes form the foundation of ocean food webs, and are sensitive to changes in their surrounding environment. However, the effects of changing abiotic factors on diverse marine microbes remains unclear, in large part due to a lack of spatial sampling of microbes and environmental variables in many ocean basins, including the GOM. In this study, we collected DNA samples at the basin scale in the GOM as part of the fourth Gulf of Mexico and East Coast Carbon (GOMECC-4) cruise that sailed in the summer-fall of 2021. DNA samples were collected at 51 sites along 16 inshore-offshore transects and up to three depths per site that reflected the surface, deep chlorophyll maximum, and near bottom (481 total filters). DNA metabarcoding captured prokaryotes (16S V4-V5) and protists (18S V9) at previously unresolved spatial scales. Generalized additive models were used to reveal the effects of carbonate chemistry parameters, temperature, oxygen, salinity, and nutrients on group-specific log abundance in the photic zone. Model results for SAR11 and SAR86 indicated a positive association with temperaure and dissolved inorganic carbon, while models for major cyanobacterial genera (Prochlorococcus and Synechococcus) were differently influenced by nutrients, salinity, and pH that often were in line with expected ecological niches. Elsewhere, enigmatic protist parasites (Syndiniales) and grazers (Sagenista) exhibited non-linear associations with salinity, oxygen, nutrients, and temperature. At the sequence level, picoeukaryotes like Ostreococcus sp. and Gephyrocapsa huxleyi were found to be indicator taxa of less buffered waters in the GOM at this time. These results set the stage for future omics data collection in the GOM, with sustained sampling efforts being important to accurately predict microbial responses to ocean change.

2. Bioinformatics

Code for 16S and 18S datasets are available in the code folder.

3. R data analysis and visualization

Code is available as markdown files for 16S and 18S datasets. Raw markdown files are also in the code folder.

This work was funded in part through the NOAA Ocean Acidification Program (OAP) ROR #02bfn4816 under project numbers 21392 (Thompson) and 20708 (Barbero) and by awards NA16OAR4320199 and NA21OAR4320190 to the Northern Gulf Institute from NOAA’s Office of Oceanic and Atmospheric Research, U.S. Department of Commerce. This research was carried out in part under the auspices of the Cooperative Institute for Marine and Atmospheric Studies (CIMAS) and NOAA, cooperative agreement NA20OAR4320472.

Disclaimer

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