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
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 hy...
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Elsevier
2022-06-01
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author | George B. H. Green Michael B. Williams Sophie B. Chehade Casey D. Morrow Stephen A. Watts Asim K. Bej |
author_facet | George B. H. Green Michael B. Williams Sophie B. Chehade Casey D. Morrow Stephen A. Watts Asim K. Bej |
author_sort | George B. H. Green |
collection | DOAJ |
description | 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. |
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language | English |
last_indexed | 2024-04-12T13:21:08Z |
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spelling | doaj.art-df119dcadca849f7a393285a90655d452022-12-22T03:31:28ZengElsevierData in Brief2352-34092022-06-0142108313High-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 contentsGeorge B. H. Green0Michael B. Williams1Sophie B. Chehade2Casey D. Morrow3Stephen A. Watts4Asim K. Bej5Department of Biology, The University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, United States of AmericaDepartment of Biology, The University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, United States of AmericaDepartment of Biology, The University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, United States of AmericaDepartment of Cell, Developmental and Integrative Biology, The University of Alabama at Birmingham, 1918 University Blvd., Birmingham, AL 35294, United States of AmericaDepartment of Biology, The University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, United States of America; Corresponding authors.Department of Biology, The University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, United States of America; Corresponding authors.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.http://www.sciencedirect.com/science/article/pii/S2352340922005157MetagenomeAnimal nutritionQIIME2High-throughput sequencingAnimal modelLaboratory-formulated diet |
spellingShingle | George B. H. Green Michael B. Williams Sophie B. Chehade Casey D. Morrow Stephen A. Watts Asim K. Bej 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 in Brief Metagenome Animal nutrition QIIME2 High-throughput sequencing Animal model Laboratory-formulated diet |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Metagenome Animal nutrition QIIME2 High-throughput sequencing Animal model Laboratory-formulated diet |
url | http://www.sciencedirect.com/science/article/pii/S2352340922005157 |
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