High-throughput amplicon sequencing datasets of the metacommunity DNA of the gut microbiota of Zebrafish Danio rerio fed diets with differential quantities of protein and fat contents

George B H Green; Michael B Williams; Sophie B Chehade; Casey D Morrow; Stephen A Watts; Asim K Bej

doi:10.1016/j.dib.2022.108313

High-throughput amplicon sequencing datasets of the metacommunity DNA of the gut microbiota of Zebrafish Danio rerio fed diets with differential quantities of protein and fat contents

Data Brief. 2022 May 23:42:108313. doi: 10.1016/j.dib.2022.108313. eCollection 2022 Jun.

Authors

George B H Green¹, Michael B Williams¹, Sophie B Chehade¹, 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, United States of America.
² Department of Cell, Developmental and Integrative Biology, The University of Alabama at Birmingham, 1918 University Blvd., Birmingham, AL 35294, United States of America.

Abstract

In this paper, we present high-throughput amplicon sequence (HTS) datasets of the gut microbiota of male and female Zebrafish Danio rerio fed diets consisting of sub-optimal and above-optimal quantities of proteins and fats. The HTS datasets were generated using an Illumina MiSeq targeting the V4 hypervariable segment of the 16S rRNA gene. The raw sequence reads were quality checked, demultiplexed into FASTQ files, denoised using DADA2 (q2-dada2 denoise-paired), and subsampled. Taxonomic ids were then assigned to amplicon sequence variants (ASVs) against the silva-138-99-nb-classifier for taxonomic output using the Quantitative Insights Into Microbial Ecology (QIIME2 v2021.4). The resultant taxa list was generated at the phylum level to confirm the applicability of the HTS dataset using the "qiime taxa collapse" command. These HTS datasets of the metagenome can be accessed through the BioSample Submission Portal (https://www.ncbi.nlm.nih.gov/bioproject/) under the BioProject IDs PRJNA772302 and PRJNA772305.

Keywords: Animal model; Animal nutrition; High-throughput sequencing; Laboratory-formulated diet; Metagenome; QIIME2.