Evidence map›Paper›PMID 34155373›Full record

ArticleNature microbiology2021

A standardized archaeal taxonomy for the Genome Taxonomy Database.

Christian Rinke, Maria Chuvochina, Aaron J Mussig, Pierre-Alain Chaumeil, Adrián A Davín, David W Waite, William B Whitman, Donovan H Parks, Philip Hugenholtz

Abstract read
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In one paragraph

Article in Nature microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 253 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
253citing 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

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

  1. Pooled it
  2. Diversity of electron-bifurcating COScience advances · 2026
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  3. Dissection ofmBio · 2026
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  5. Taxonomic revision of the genusInternational journal of systematic and evolutionary microbiology · 2026
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  6. Article
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  8. Article
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  10. Article
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  13. Article
  14. Review
  15. Article
  16. ZipStrain Enables Rapid and Precise Strain-Resolved Metagenomics.bioRxiv : the preprint server for biology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

193 more citing papers are in PubMed but not listed here.

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.

Christian RinkeAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia. c.rinke@uq.edu.au.ORCID http://orcid.org/0000-0003-4632-1187
Maria ChuvochinaAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Aaron J MussigAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-9988-0866
Pierre-Alain ChaumeilAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
Adrián A DavínAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.
David W WaiteSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
William B WhitmanDepartment of Microbiology, University of Georgia, Athens, GA, USA.ORCID http://orcid.org/0000-0003-1229-0423
Donovan H ParksAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0001-6662-9010
Philip HugenholtzAustralian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Australia. p.hugenholtz@uq.edu.au.ORCID http://orcid.org/0000-0001-5386-7925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accrual of genomic data from both cultured and uncultured microorganisms provides new opportunities to develop systematic taxonomies based on evolutionary relationships. Previously, we established a bacterial taxonomy through the Genome Taxonomy Database. Here, we propose a standardized archaeal taxonomy that is derived from a 122-concatenated-protein phylogeny that resolves polyphyletic groups and normalizes ranks based on relative evolutionary divergence. The resulting archaeal taxonomy, which forms part of the Genome Taxonomy Database, is stable for a range of phylogenetic variables including marker gene selection, inference methods, corrections for rate heterogeneity and compositional bias, tree rooting scenarios and expansion of the genome database. Rank normalization is shown to robustly correct for substitution rates varying up to 30-fold using simulated datasets. Taxonomic curation follows the rules of the International Code of Nomenclature of Prokaryotes while taking into account proposals to formally recognize the rank of phylum and to use genome sequences as type material. This taxonomy is based on 2,392 archaeal genomes, 93.3% of which required one or more changes to their existing taxonomy, mainly owing to incomplete classification. We identify 16 archaeal phyla and reclassify 3 major monophyletic units from the former Euryarchaeota and one phylum that unites the Thaumarchaeota-Aigarchaeota-Crenarchaeota-Korarchaeota (TACK) superphylum into a single phylum.

Indexed as

Databases, GeneticGenome, ArchaealArchaeaEvolution, MolecularGenomicsPhylogenyReference Standards

Identifiers

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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.