Evidence map›Paper›PMID 41933201›Full record

ArticleNature microbiology2026

Unbinned contigs expand known diversity in the global microbiome.

Vishnu Prasoodanan Pk, Oleksandr M Maistrenko, Anthony Fullam, Daniel R Mende, Ece Kartal, Luis Pedro Coelho, Anja Spang, Peer Bork, Thomas S B Schmidt

Erratum issuedAbstract read
In one paragraph

Article in Nature microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Vishnu Prasoodanan Pk *APC Microbiome and School of Medicine, University College Cork, Cork, Ireland.
Oleksandr M Maistrenko *Department of Marine Microbiology and Biogeochemistry, Royal Netherlands Institute for Sea Research, Texel, the Netherlands.ORCID http://orcid.org/0000-0003-1961-7548
Anthony FullamMolecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0884-8124
Daniel R MendeHuman Biology-Microbiome-Quantum Research Center (WPI-Bio2Q), Keio University, Tokyo, Japan.ORCID http://orcid.org/0000-0001-6831-4557
Ece KartalInstitute for Computational Biomedicine, Faculty of Medicine, University of Heidelberg, Heidelberg, Germany.
Luis Pedro CoelhoCentre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology, Translational Research Institute, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-9280-7885
Anja SpangDepartment of Marine Microbiology and Biogeochemistry, Royal Netherlands Institute for Sea Research, Texel, the Netherlands.ORCID http://orcid.org/0000-0002-6518-8556
Peer BorkMolecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Thomas S B SchmidtAPC Microbiome and School of Medicine, University College Cork, Cork, Ireland. sebastian.schmidt@ucc.ie.ORCID http://orcid.org/0000-0001-8587-4177

Funding

Department of Education and Training | Australian Research Council (ARC) FT230100724EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 947317 (ASymbEL)Science Foundation Ireland (SFI) 12/RC/2273-P2 (APC Microbiome)
6 · The paper itself

Abstract

The ongoing census of microbial life is hampered by disparate sampling across Earth's habitats, challenges in isolating uncultivated organisms, limited resolution in taxonomic marker gene amplicons and incomplete recovery of metagenome-assembled genomes. Here we quantify discoverable Bacterial and Archaeal diversity in a comprehensive, curated cross-habitat dataset of 92,187 publicly available metagenomes. Clustering 502 million sequences of 130 marker genes, we predict ~705,000 Bacterial and ~27,000 Archaeal species-level clades, the vast majority of which were hidden among unbinned contigs. We estimate that ten and 145 previously undescribed Archaeal and Bacterial phyla, respectively, are discoverable in this dataset. We identify soils and aquatic environments as hotspots of discoverable lineages, but predict that undescribed taxa remain abundant across all habitats. Finally, we show that prokaryotic diversity appears to arise within common evolutionary patterns, as clade size distributions follow power laws, consistently across the Tree of Life.

Indexed as

ArchaeaBacteriaBiodiversityMicrobiotaGenetic VariationMetagenomePhylogenySoil Microbiology

Identifiers

PMID41933201
PMCPMC13171631

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.