Evidence map›Paper›PMID 40707831›Full record

ArticleNature microbiology2025

Genome-resolved long-read sequencing expands known microbial diversity across terrestrial habitats.

Mantas Sereika, Aaron James Mussig, Chenjing Jiang, Kalinka Sand Knudsen, Thomas Bygh Nymann Jensen, Francesca Petriglieri, Yu Yang, Vibeke Rudkjøbing Jørgensen, Francesco Delogu, Emil Aarre Sørensen and 4 more

Abstract read
In one paragraph

Article in Nature microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. The Indoor Microbiome: Sampling, Analysis and Emerging Trends.Environmental microbiology reports · 2026
    Pooled it
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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

14 authors.

Mantas SereikaCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0001-7568-1080
Aaron James MussigAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-9988-0866
Chenjing JiangCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.
Kalinka Sand KnudsenCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.
Thomas Bygh Nymann JensenCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0001-5815-5468
Francesca PetriglieriCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.
Yu YangCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.
Vibeke Rudkjøbing JørgensenCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.
Francesco DeloguCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.
Emil Aarre SørensenCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.
Per Halkjær NielsenCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-6402-1877
Caitlin Margaret SingletonCenter for Microbial Communities, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0001-9688-8208
Philip HugenholtzAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0001-5386-7925
Mads AlbertsenCenter for Microbial Communities, Aalborg University, Aalborg, Denmark. ma@bio.aau.dk.ORCID http://orcid.org/0000-0002-6151-190X

Funding

Villum Fonden (Villum Foundation) 130690Villum Fonden (Villum Foundation) 50093
6 · The paper itself

Abstract

The emergence of high-throughput, long-read DNA sequencing has enabled recovery of microbial genomes from environmental samples at scale. However, expanding the terrestrial microbial genome catalogue has been challenging due to the enormous complexity of these environments. Here we performed deep, long-read Nanopore sequencing of 154 soil and sediment samples collected during the Microflora Danica project, yielding genomes of 15,314 previously undescribed microbial species, recovered using our custom mmlong2 workflow. The recovered microbial genomes span 1,086 previously uncharacterized genera and expand the phylogenetic diversity of the prokaryotic tree of life by 8%. The long-read assemblies also enabled the recovery of thousands of complete ribosomal RNA operons, biosynthetic gene clusters and CRISPR-Cas systems. Furthermore, the incorporation of the recovered genomes into public genomic databases substantially improved species-level classification rates for soil and sediment metagenomic datasets. These findings demonstrate that long-read sequencing allows cost-effective recovery of high-quality microbial genomes from highly complex ecosystems, which remain an untapped source of biodiversity.

Indexed as

BacteriaBiodiversityGenome, BacterialSoil MicrobiologyEcosystemGeologic SedimentsHigh-Throughput Nucleotide SequencingMetagenomeMetagenomicsNanopore SequencingPhylogenySequence Analysis, DNA

Identifiers

PMID40707831
PMCPMC12313526

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.