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

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          Abstract

          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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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            DADA2: High resolution sample inference from Illumina amplicon data

            We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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              Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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                Author and article information

                Contributors
                Journal
                Data Brief
                Data Brief
                Data in Brief
                Elsevier
                2352-3409
                11 January 2023
                April 2023
                11 January 2023
                : 47
                : 108895
                Affiliations
                [a ]Department of Biology, The University of Alabama at Birmingham, Birmingham, AL 35294, United States
                [b ]DePe Oysters, LLC, Coden, AL 36523, United States
                [c ]Department of Criminal Justice, The University of Alabama at Birmingham, Birmingham, AL 35294, United States
                [d ]Department of Cell, Developmental and Integrative Biology, The University of Alabama at Birmingham, Birmingham, AL 35294, United States
                Author notes
                [* ]Corresponding author. abej@ 123456uab.edu
                [** ]Co-Corresponding author. caseym@ 123456uab.edu
                [1]

                Former address: Department of Biology, The University of Alabama at Birmingham, Birmingham, AL 35294, United States.

                Article
                S2352-3409(23)00013-6 108895
                10.1016/j.dib.2023.108895
                9898592
                aef94509-2e7f-40a3-ac5a-d222fc97f838
                © 2023 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 3 October 2022
                : 22 December 2022
                : 6 January 2023
                Categories
                Data Article

                metagenome,qiime2,illumina,16s rrna gene,oysters,sediment,u.s. gulf coast

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