Evidence map›Paper›PMID 40954296›Full record

ArticleNature methods2025

De novo discovery of conserved gene clusters in microbial genomes with Spacedust.

Ruoshi Zhang, Milot Mirdita, Johannes Söding

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Exploring the protein universe with distant similarity detection methods.Protein science : a publication of the Protein Society · 2026
    Review
  6. Synteny plot quality control with SyntenyQC.Bioinformatics (Oxford, England) · 2025
    Article
  7. Article
  8. Review
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

3 authors.

Ruoshi ZhangQuantitative and Computational Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.ORCID http://orcid.org/0000-0002-1982-4793
Milot MirditaSchool of Biological Sciences, Seoul National University, Seoul, Republic of Korea.
Johannes SödingQuantitative and Computational Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany. soeding@mpinat.mpg.de.ORCID http://orcid.org/0000-0001-9642-8244

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) CompLifeSci project horizontal4metaNational Research Foundation of Korea (NRF) RS-2023- 00250470
6 · The paper itself

Abstract

Metagenomics has revolutionized environmental and human-associated microbiome studies. However, the limited fraction of proteins with known biological processes and molecular functions presents a major bottleneck. In prokaryotes and viruses, evolution favors keeping genes participating in the same biological processes colocalized as conserved gene clusters. Conversely, conservation of gene neighborhood indicates functional association. Here we present Spacedust, a tool for systematic, de novo discovery of conserved gene clusters. To find homologous protein matches, Spacedust uses fast and sensitive structure comparison with Foldseek. Partially conserved clusters are detected using novel clustering and order conservation P values. We demonstrate Spacedust's sensitivity with an all-versus-all analysis of 1,308 bacterial genomes, identifying 72,843 conserved gene clusters containing 58% of the 4.2 million genes. It recovered 95% of antiviral defense system clusters annotated by the specialized tool PADLOC. Spacedust's high sensitivity and speed will facilitate the annotation of large numbers of sequenced bacterial, archaeal and viral genomes.

Indexed as

Computational BiologyGenome, MicrobialMetagenomicsMultigene FamilySoftwareAlgorithmsConserved SequenceCRISPR-Cas SystemsGenome, BacterialMetagenome

Identifiers

PMID40954296
PMCPMC12510874

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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.