Green George B H, DePaola Angelo, Linville Jason G, Morrow Casey D, Bej Asim K
Department of Biology, The University of Alabama at Birmingham, Birmingham, AL 35294, United States.
DePe Oysters, LLC, Coden, AL 36523, United States.
Data Brief. 2023 Jan 11;47:108895. doi: 10.1016/j.dib.2023.108895. eCollection 2023 Apr.
We present high-throughput amplicon sequence (HTS) datasets of the purified microbial metacommunity DNA of coastal surface sediments from Portersville Bay (PVB) ( = 3), Bayou La Batre (BLB) ( = 3), and Mobile Bay (MOB) ( = 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).
我们展示了来自美国墨西哥湾(美国墨西哥湾沿岸)波特斯维尔湾(PVB)(n = 3)、拉巴特湾(BLB)(n = 3)和莫比尔湾(MOB)(n = 3)沿海表层沉积物中纯化的微生物群落DNA的高通量扩增子序列(HTS)数据集。PVB样本是从牡蛎养殖Shellevator™系统中采集的;BLB样本来自与附着在岩石上的野生牡蛎相邻的海岸线位置,可能受到污水污染,也可能受到来自船只、造船厂和海鲜加工设施的化学污染;MOB样本来自底部网箱中养殖牡蛎附近。在Illumina MiSeq上对每个样本的16S rRNA基因V4高变区的扩增子进行测序,以生成这些HTS数据集。对原始序列进行质量检查、解复用为FASTQ文件、使用DADA2去噪并进行二次抽样。然后,使用微生物生态学定量洞察(QIIME2 v2022.2),将FASTA格式的序列与silva - 138 - 99 - nb - 分类器比对,为扩增子序列变体(ASV)分配分类学ID。使用“qiime taxa collapse”命令在门水平上进行微生物分类群分析,证实了HTS数据集的适用性。所有HTS数据集可通过生物样本提交门户在生物项目ID PRJNA876773下获取(https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA876773)。