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<p>Understanding the human gut microbiome requires comprehensive genomic catalogues, yet many lack geographic diversity and contain medium-quality metagenome-assembled genomes (MAGs) missing up to 50% of genomic regions, potentially distorting functional insights. Here we describe an enhanced Human Reference Gut Microbiome (HRGM2) resource, a catalogue of near-complete MAGs (≥90% completeness, ≤5% contamination) and isolate genomes. HRGM2 comprises 155,211 non-redundant near-complete genomes from 4,824 prokaryotic species across 41 countries, representing a 66% increase in genome count and a 50% boost in species diversity compared to the Unified Human Gastrointestinal Genome catalogue. It enabled improved DNA-based species profiling, resolution of strain heterogeneity and survey of the human gut resistome. The exclusive use of these genomes improved metabolic capacity assessment, enabling high-confidence, automated genome-scale metabolic models of the entire microbiota and revealing disease-associated microbial metabolic interactions. This resource will facilitate reliable functional insights into gut microbiomes.</p>

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A human gut metagenome-assembled genome catalogue spanning 41 countries supports genome-scale metabolic models

  • 期刊论文

  • 发表日期：

    2025年12月4日

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  • Junyeong Ma,
  • Nayeon Kim,
  • Jun Hyung Cha,
  • Wonjong Kim,
  • Chan Yeong Kim,
  • Yong-ho Lee,
  • Han Sang Kim,
  • Yoon Dae Han,
  • Dongeun Yong,
  • Eugene Han,
  • Sunmo Yang,
  • Samuel Beck,
  • Insuk Lee

摘要

Understanding the human gut microbiome requires comprehensive genomic catalogues, yet many lack geographic diversity and contain medium-quality metagenome-assembled genomes (MAGs) missing up to 50% of genomic regions, potentially distorting functional insights. Here we describe an enhanced Human Reference Gut Microbiome (HRGM2) resource, a catalogue of near-complete MAGs (≥90% completeness, ≤5% contamination) and isolate genomes. HRGM2 comprises 155,211 non-redundant near-complete genomes from 4,824 prokaryotic species across 41 countries, representing a 66% increase in genome count and a 50% boost in species diversity compared to the Unified Human Gastrointestinal Genome catalogue. It enabled improved DNA-based species profiling, resolution of strain heterogeneity and survey of the human gut resistome. The exclusive use of these genomes improved metabolic capacity assessment, enabling high-confidence, automated genome-scale metabolic models of the entire microbiota and revealing disease-associated microbial metabolic interactions. This resource will facilitate reliable functional insights into gut microbiomes.