High-throughput amplicon sequencing datasets of the metacommunity DNA of the gut microbiota of naturally occurring and laboratory aquaculture green sea urchins Lytechinus variegatus

Joseph A Hakim; Casey D Morrow; Stephen A Watts; Asim K Bej

doi:10.1016/j.dib.2019.104405

High-throughput amplicon sequencing datasets of the metacommunity DNA of the gut microbiota of naturally occurring and laboratory aquaculture green sea urchins Lytechinus variegatus

Data Brief. 2019 Aug 20:26:104405. doi: 10.1016/j.dib.2019.104405. eCollection 2019 Oct.

Authors

Joseph A Hakim¹, Casey D Morrow², Stephen A Watts¹, Asim K Bej¹

Affiliations

¹ Department of Biology, The University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, USA.
² Department of Cell, Developmental and Integrative Biology, The University of Alabama at Birmingham, 1918 University Blvd., Birmingham, AL 35294, USA.

Abstract

We present high-throughput amplicon sequence (HTS) datasets of the microbial metacommunity DNA of the gut tissue and the gut digesta of naturally occurring (n = 3) and laboratory aquaculture (n = 2) green sea urchins, Lytechinus variegatus. The HTS datasets were generated on an Illumina MiSeq by targeting the amplicons of the V4 region of the 16S rRNA gene. After the raw sequences were quality checked and filtered, 88% of the sequence reads were subjected to bioinformatics analyses to generate operation taxonomic units (OTUs), which were then verified for saturation by using rarefaction analysis at a 3% sequence variation. Further, the OTUs were randomly subsampled to the minimum sequence count values. Then, the FASTA-formatted representative sequences of the microbiota were assigned taxonomic identities through multiple databases using the SILVA ACT: Alignment, Classification and Tree Service (www.arb-silva.de/aligner). The HTS datasets of this metagenome can be accessed from the BioSample Submission Portal (https://www.ncbi.nlm.nih.gov/bioproject/) under the BioProject IDs PRJNA291441 and PRJNA326427.

Keywords: Arcobacter; Echinoderm; MiSeq; PhyloToAST; QIIME.

Abstract

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