*May need to re-work* This study investigated the microbiota associated with sea urchin gut content, sediment, and surrounding seawater using high-throughput sequencing of bacterial (16S rRNA), fungal (ITS), and eukaryotic (18S rRNA) gene markers. Data analyses is still ongoing. Sequences and associated metadata were deposited in QIITA (study ID 15616). Downstream analysis in QIIME2 included demultiplexing, quality trimming, DADA2 denoising, and taxonomic classification using the Greengen...
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This dataset is one of multiple datasets from a study investigating sea urchins and associated water and sediment samples from four shallow reef ecosystems in coastal waters surrounding Puerto Rico. All analyses were conducted by the PRINBRE Metabolomics Research Core at the University of Puerto Rico, Medical Sciences Campus, in collaboration with marine biologists from the Institute of Tropical Ecosystem Studies. The study is part of a broader initiative to integrate marine ecology with chemical ecology and metabolomics.
This dataset presents data from investigations of the microbiota associated with sea urchin gut content, sediment, and surrounding seawater using high-throughput sequencing of bacterial (16S rRNA), fungal (ITS), and eukaryotic (18S rRNA) gene markers.
This paper presents the open-source software package DADA2 for modeling and correcting Illumina-sequenced amplicon errors (https://github.com/benjjneb/dada2). DADA2 infers sample sequences exactly and resolves differences of as little as 1 nucleotide.
Qiita (canonically pronounced cheetah) is an entirely open-source microbial study management platform.
Godoy-Vitorino, F., Kardas, E., Ruiz-Diaz, C. P., Toledo-Hernandez, C., Rodriguez-Barreras, R., Chorna, N. (2025). Microbiome data 16S rRNA results for sea urchin gut content, sediment, and surrounding seawater from sampled collected in 2023 from four locations along the coast of Puerto Rico. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-10-10 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/986537 [access date]
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This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.