虾青素宏基因组

Data description This dataset comprises shotgun metagenomic sequencing of fecal microbiota from three groups of mice (n=8/group): Control (wild-type+normal diet，CON), Model (ApoE⁻/⁻+high-fat diet,HFD), and ASTH (ApoE⁻/⁻+high-fat diet+30 mg/kg AST,M_AST). All animals were maintained on respective diets for 16 weeks. DNA was extracted using FastPure Fecal DNA Isolation Kit, libraries constructed with NEXTFLEX® Rapid DNA-Seq Kit, and sequenced on Illumina NovaSeq™ X Plus (paired-end). Raw data were filtered with fastp (v0.23.0), assembled with Megahit (v1.1.2), ORFs predicted with Prodigal (v2.6.3), and annotated against NR and KEGG databases using Diamond (v2.0.13). Notable findings ASTH restored microbial richness and diversity (Chao1/Shannon) to near-normal levels, significantly reduced the elevated Firmicutes/Bacteroidota ratio in Model mice, and altered community structure (PCoA/NMDS). LEfSe identified 11 key differential genera (LDA>4): ASTH enriched beneficial genera (Bacteroides, Alistipes, Duncaniella, Muribaculum) while suppressing pro-inflammatory Ileibacterium and Faecalibaculum. KEGG annotation revealed enriched pathways including amino acid biosynthesis, carbon metabolism, phosphotransferase system, and SCFA synthesis (butyrate/propionate). Data usage and interpretation This dataset enables independent validation of taxonomic findings, exploration of microbial metabolic pathways (SCFA synthesis, lipid/bile acid metabolism), secondary analyses (strain-level variation, resistance genes), meta-analyses across dietary intervention studies, and generation of hypotheses for targeted metabolomics to verify functional predictions. Submitted files This dataset contains the following files and directories generated from the metagenomic analysis pipeline. Only files from steps 1, 2, 3, 4, 5, 6, and 8 (as numbered in the pipeline) are included. 1. rawdata/ – Raw sequencing data and quality statistics (base_info.txt, reads.rawData.stat.xls). 2. QC_Stat/ – Post‑QC data statistics (reads.cleanData.stat.xls). 3. rm_host/ – Statistics of reads after removal of mouse host sequences (stat.list.txt). 4. assemble/ – Assembly results, including contig sequences per sample (*.contig.fa.tar.gz) and assembly metrics (assembly.stat.xls). 5. predict/ – Gene prediction results, including ORF sequences per sample (*.metagene.more.100.fna.tar.gz) and prediction statistics (genePredict_stat.xls). 6. geneset/ – Non‑redundant gene catalog and abundance tables (core results): Gene sequences: gene.uniGeneset.fa.zip (nucleotide) and gene.uniGeneset.faa (protein). Abundance tables: TPM.xls, RPKM.xls, reads_number.xls, etc. (choose according to the intended analysis). 8. taxonomy_function_annotation/ – Taxonomic and functional annotations: Taxonomy_annotation/NR/: NR‑based taxonomic annotation (gene_nr_anno.xls, tax_*.xls for each taxonomic level). anno_overview.xls: summary of annotation results. All .tar.gz and .zip archives must be decompressed before use.