Functional Annotation Dataset of Gut Microbiome MAGs from HIV-infected Individuals

A total of 656 MAGs were annotated using Prokka[44] for gene prediction. The resulting protein sequences were then functionally annotated using both KofamScan[45] and eggNOG-mapper v2.0[46]. Outputs from the two tools were merged to generate a comprehensive functional annotation file (Supplementary Data 1). This file served as the basis for downstream functional analyses and metabolic potential assessments, enabling the identification of MAG-specific roles within the gut microbiome, lineage-specific metabolic pathways, and their potential associations with host status or community structure.

本研究利用Prokka[44]完成656个宏基因组组装基因组（Metagenome-Assembled Genomes，MAGs）的基因预测与注释。随后，分别通过KofamScan[45]与eggNOG-mapper v2.0[46]对所得蛋白质序列开展功能注释，并将两款工具的输出结果进行合并，生成一份综合性功能注释文件（补充数据1）。该文件可作为后续功能分析与代谢潜能评估的核心依据，用于鉴定肠道微生物组中MAG的特异性功能角色、谱系特异性代谢通路，以及其与宿主状态或微生物群落结构的潜在关联。