Evidence map›Paper›PMID 39526369›Full record

ArticleNucleic acids research2025

The mOTUs online database provides web-accessible genomic context to taxonomic profiling of microbial communities.

Marija Dmitrijeva, Hans-Joachim Ruscheweyh, Lilith Feer, Kang Li, Samuel Miravet-Verde, Anna Sintsova, Daniel R Mende, Georg Zeller, Shinichi Sunagawa

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

9 authors.

Marija DmitrijevaDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, 8093 Zürich, Switzerland.
Hans-Joachim RuscheweyhDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, 8093 Zürich, Switzerland.
Lilith FeerDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, 8093 Zürich, Switzerland.
Kang LiDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, 8093 Zürich, Switzerland.
Samuel Miravet-VerdeDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, 8093 Zürich, Switzerland.
Anna SintsovaDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, 8093 Zürich, Switzerland.
Daniel R MendeMedical Microbiology and Infection Prevention (MMI), Amsterdam University Medical Center, 1105AZ Amsterdam, The Netherlands.
Georg ZellerStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.ORCID 0000-0003-1429-7485
Shinichi SunagawaDepartment of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, 8093 Zürich, Switzerland.ORCID 0000-0003-3065-0314

Funding

ETH ZurichEuropean Molecular Biology LaboratoryEuropean Research Council 101118531Federal Ministry of Education and Research 031A537BHuman Frontier Science Program LT0050/2023-LNCCR 51NF40_180575Swiss National Science FoundationSwiss National Science Foundation 205321_184955
6 · The paper itself

Abstract

Determining the taxonomic composition (taxonomic profiling) is a fundamental task in studying environmental and host-associated microbial communities. However, genome-resolved microbial diversity on Earth remains undersampled, and accessing the genomic context of taxa detected during taxonomic profiling remains a challenging task. Here, we present the mOTUs online database (mOTUs-db), which is consistent with and interfaces with the mOTUs taxonomic profiling tool. It comprises 2.83 million metagenome-assembled genomes (MAGs) and 919 090 single-cell and isolate genomes from 124 295 species-level taxonomic units. In addition to being one of the largest prokaryotic genome resources to date, all MAGs in the mOTUs-db were reconstructed de novo in 117 902 individual samples by abundance correlation of scaffolds across multiple samples for improved quality metrics. The database complements the Genome Taxonomy Database, with over 50% of its species-level taxonomic groups being unique. It also offers interactive querying, enabling users to explore and download genomes at various taxonomic levels. The mOTUs-db is accessible at https://motus-db.org.

Indexed as

Databases, GeneticInternetMetagenomeMicrobiotaBacteriaGenome, BacterialGenomicsMetagenomicsPhylogenySoftware

Identifiers

PMID39526369
PMCPMC11701688

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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.