Evidence map›Paper›PMID 41345261›Full record

SynthesisNature microbiology2026

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

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 and 3 more

Abstract readDatasetMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Nature microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Goals in Nutrition Science 2025-2030.Frontiers in nutrition · 2026
    Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Junyeong Ma *Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-2069-3783
Nayeon Kim *Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
Jun Hyung ChaDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
Wonjong KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
Chan Yeong KimMolecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0868-9872
Yong-Ho LeeDepartment of Internal Medicine, Institute for Endocrine Research, Institute for Innovation in Digital Healthcare (IIDH), Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-6219-4942
Han Sang KimYonsei Cancer Center, Division of Medical Oncology, Department of Internal Medicine, Graduate School of Medicine, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yoon Dae HanDivision of Colorectal Surgery, Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Dongeun YongDepartment of Laboratory Medicine, Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Republic of Korea.
Eugene HanDivision of Endocrinology, Internal Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea.
Sunmo YangDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
Samuel BeckDepartment of Dermatology, Center for Aging Research, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA, USA.
Insuk LeeDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea. insuklee@yonsei.ac.kr.ORCID http://orcid.org/0000-0003-3146-6180

Funding

National Research Foundation of Korea (NRF) 2022M3A9F3016364National Research Foundation of Korea (NRF) 2022R1A2C1092062
6 · The paper itself

Abstract

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.

Indexed as

ArchaeaBacteriaGastrointestinal MicrobiomeMetagenomeAgedColorectal NeoplasmsCrohn DiseaseDatasets as TopicDrug Resistance, BacterialFemaleGenes, BacterialHumansMaleMiddle AgedMolecular Sequence AnnotationPhylogeny

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.