Evidence map›Paper›PMID 39230075›Full record

ArticleGut microbes

MRGM: an enhanced catalog of mouse gut microbial genomes substantially broadening taxonomic and functional landscapes.

Nayeon Kim, Chan Yeong Kim, Junyeong Ma, Sunmo Yang, Dong Jin Park, Sang-Jun Ha, Peter Belenky, Insuk Lee

Abstract read
In one paragraph

Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Nayeon KimDepartment of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul, Republic of Korea.ORCID 0009-0008-5307-2637
Chan Yeong KimDepartment of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul, Republic of Korea.
Junyeong MaDepartment of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul, Republic of Korea.
Sunmo YangDepartment of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul, Republic of Korea.
Dong Jin ParkDepartment of Biochemistry, College of Life Science & Biotechnology, Yonsei University, Seoul, Republic of Korea.
Sang-Jun HaDepartment of Biochemistry, College of Life Science & Biotechnology, Yonsei University, Seoul, Republic of Korea.
Peter BelenkyDepartment of Molecular Microbiology and Immunology, Brown University, Providence, RI, USA.ORCID 0000-0002-1682-945X
Insuk LeeDepartment of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul, Republic of Korea.

Funding

Relating impacts of antibiotics on the gut metabolome and microbiome to host physiology and weight.R01DK125382 · NIDDK · BROWN UNIVERSITY · PI BELENKY, PETER · 2020 to 2024
$2.7M
NIDDK NIH HHS R01 DK125382
6 · The paper itself

Abstract

Mouse gut microbiome research is pivotal for understanding the human gut microbiome, providing insights into disease modeling, host-microbe interactions, and the dietary influence on the gut microbiome. To enhance the translational value of mouse gut microbiome studies, we need detailed and high-quality catalogs of mouse gut microbial genomes. We introduce the Mouse Reference Gut Microbiome (MRGM), a comprehensive catalog with 42,245 non-redundant mouse gut bacterial genomes across 1,524 species. MRGM marks a 40% increase in the known taxonomic diversity of mouse gut microbes, capturing previously underrepresented lineages through refined genome quality assessment techniques. MRGM not only broadens the taxonomic landscape but also enriches the functional landscape of the mouse gut microbiome. Using deep learning, we have elevated the Gene Ontology annotation rate for mouse gut microbial proteins from 3.2% with orthology to 60%, marking an over 18-fold increase. MRGM supports both DNA- and marker-based taxonomic profiling by providing custom databases, surpassing previous catalogs in performance. Finally, taxonomic and functional comparisons between human and mouse gut microbiota reveal diet-driven divergences in their taxonomic composition and functional enrichment. Overall, our study highlights the value of high-quality microbial genome catalogs in advancing our understanding of the co-evolution between gut microbes and their host.

Indexed as

BacteriaGastrointestinal MicrobiomeGenome, BacterialAnimalsDietHumansMicePhylogenyGut microbiomemetagenome-assembled genomesmouse gut microbiomereference microbiome

Identifiers

PMID39230075
PMCPMC11376411

What OpenQuestion holds

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LicenceCC BY
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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.