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High-throughput amplicon sequencing datasets of coastal sediments from three locations of the Gulf of Mexico, USA

We present high-throughput amplicon sequence (HTS) datasets of the purified microbial metacommunity DNA of coastal surface sediments from Portersville Bay (PVB) (n = 3), Bayou La Batre (BLB) (n = 3), and Mobile Bay (MOB) (n = 3) of the U.S. Gulf of Mexico (U.S. Gulf Coast). The PVB samples were coll...

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Detalles Bibliográficos
Autores principales: Green, George B.H., DePaola, Angelo, Linville, Jason G., Morrow, Casey D., Bej, Asim K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898592/
https://www.ncbi.nlm.nih.gov/pubmed/36747985
http://dx.doi.org/10.1016/j.dib.2023.108895
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author Green, George B.H.
DePaola, Angelo
Linville, Jason G.
Morrow, Casey D.
Bej, Asim K.
author_facet Green, George B.H.
DePaola, Angelo
Linville, Jason G.
Morrow, Casey D.
Bej, Asim K.
author_sort Green, George B.H.
collection PubMed
description We present high-throughput amplicon sequence (HTS) datasets of the purified microbial metacommunity DNA of coastal surface sediments from Portersville Bay (PVB) (n = 3), Bayou La Batre (BLB) (n = 3), and Mobile Bay (MOB) (n = 3) of the U.S. Gulf of Mexico (U.S. Gulf Coast). The PVB samples were collected from the oyster aquaculture Shellevator™ system; the BLB samples were from locations on the shoreline adjacent to wild oysters attached to rocks and likely polluted from sewage and possibly chemical contamination from boats, shipyards, and seafood processing facilities; and MOB samples were adjacent to aquaculture oysters in bottom cages. The amplicons of the V4 hypervariable segment of the 16S rRNA gene from each sample were sequenced on an Illumina MiSeq to generate these HTS datasets. The raw sequences were quality-checked, demultiplexed into FASTQ files, denoised using DADA2, and subsampled. Then, the FASTA formatted sequences were assigned the taxonomic ids to amplicon sequence variants (ASVs) against the silva-138–99-nb-classifier using the Quantitative Insights Into Microbial Ecology (QIIME2 v2022.2). The applicability of the HTS datasets was confirmed by microbial taxa analysis at the phylum level using the "qiime taxa collapse" command. All HTS datasets are available through the BioSample Submission Portal under the BioProject ID PRJNA876773 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA876773).
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spelling pubmed-98985922023-02-05 High-throughput amplicon sequencing datasets of coastal sediments from three locations of the Gulf of Mexico, USA Green, George B.H. DePaola, Angelo Linville, Jason G. Morrow, Casey D. Bej, Asim K. Data Brief Data Article We present high-throughput amplicon sequence (HTS) datasets of the purified microbial metacommunity DNA of coastal surface sediments from Portersville Bay (PVB) (n = 3), Bayou La Batre (BLB) (n = 3), and Mobile Bay (MOB) (n = 3) of the U.S. Gulf of Mexico (U.S. Gulf Coast). The PVB samples were collected from the oyster aquaculture Shellevator™ system; the BLB samples were from locations on the shoreline adjacent to wild oysters attached to rocks and likely polluted from sewage and possibly chemical contamination from boats, shipyards, and seafood processing facilities; and MOB samples were adjacent to aquaculture oysters in bottom cages. The amplicons of the V4 hypervariable segment of the 16S rRNA gene from each sample were sequenced on an Illumina MiSeq to generate these HTS datasets. The raw sequences were quality-checked, demultiplexed into FASTQ files, denoised using DADA2, and subsampled. Then, the FASTA formatted sequences were assigned the taxonomic ids to amplicon sequence variants (ASVs) against the silva-138–99-nb-classifier using the Quantitative Insights Into Microbial Ecology (QIIME2 v2022.2). The applicability of the HTS datasets was confirmed by microbial taxa analysis at the phylum level using the "qiime taxa collapse" command. All HTS datasets are available through the BioSample Submission Portal under the BioProject ID PRJNA876773 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA876773). Elsevier 2023-01-11 /pmc/articles/PMC9898592/ /pubmed/36747985 http://dx.doi.org/10.1016/j.dib.2023.108895 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Green, George B.H.
DePaola, Angelo
Linville, Jason G.
Morrow, Casey D.
Bej, Asim K.
High-throughput amplicon sequencing datasets of coastal sediments from three locations of the Gulf of Mexico, USA
title High-throughput amplicon sequencing datasets of coastal sediments from three locations of the Gulf of Mexico, USA
title_full High-throughput amplicon sequencing datasets of coastal sediments from three locations of the Gulf of Mexico, USA
title_fullStr High-throughput amplicon sequencing datasets of coastal sediments from three locations of the Gulf of Mexico, USA
title_full_unstemmed High-throughput amplicon sequencing datasets of coastal sediments from three locations of the Gulf of Mexico, USA
title_short High-throughput amplicon sequencing datasets of coastal sediments from three locations of the Gulf of Mexico, USA
title_sort high-throughput amplicon sequencing datasets of coastal sediments from three locations of the gulf of mexico, usa
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898592/
https://www.ncbi.nlm.nih.gov/pubmed/36747985
http://dx.doi.org/10.1016/j.dib.2023.108895
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