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South China Sea (SCS) sediments MiSeq 16S rRNA gene sequencing (archaeal 16S rRNA gene)

ABSTRACT: MiSeq 16S rRNA gene (archaeal 16S rRNA gene) sequences of 12 SCS sediments

PROVIDER: PRJEB11900 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	ERR1146990.fastq.gz	Fastqsanger.gz
	ERR1146991.fastq.gz	Fastqsanger.gz
	ERR1146992.fastq.gz	Fastqsanger.gz
	ERR1146993.fastq.gz	Fastqsanger.gz
	ERR1146994.fastq.gz	Fastqsanger.gz

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South China Sea (SCS) sediments MiSeq 16S rRNA gene sequencing (archaeal 16S rRNA gene)

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Project description:Purpose: This study aims to compare and analyze the differences in bacterial community composition in fecal samples from mice treated with Control(DW), Vancomycin (VAN), Ampicillin (AMP), Neomycin (NEO), Metronidazole (MET), and a combination of all antibiotics (ALL, VANM) using 16S rRNA sequencing. Methods: Each antibiotics treated mice's fecal samples were collected and stored -80'c until analyzation. DNA was extracted using the NucleoSpin DNA Stool Kit (MACHEREY-NAGEL) following the manufacturer’s protocol. Metagenomic sequencing was performed on an Illumina MiSeq platform (Illumina), targeting the V3 and V4 regions of the 16S rRNA gene according to the manufacturer's instructions. PCR products were purified using AMPure XP beads, and sequencing adapters were added using the Nextera XT Index Kit (Illumina). The library was further purified with AMPure XP beads and quantified using automated electrophoresis with the TapeStation System (Agilent). Sequencing was performed using the MiSeq v3 reagent kit (Illumina), following the manufacturer’s protocol. Results: QIIME2 (v2023.02) was used to process and analyze 16S rRNA gene amplicon sequencing data, from sequence preprocessing to taxonomic classification. Paired-end sequences were merged and quality-filtered using Deblur. The resulting amplicon sequence variants (ASVs) were used for downstream analyses. Conclusions: Our study presents a comparative analysis of bacterial community composition in fecal samples from antibiotic-treated mice. We observed that microbiota composition varied distinctly depending on the type of antibiotic administered.

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