The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
A standardized archaeal taxonomy for the Genome Taxonomy Database
Open accessAbstract
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. Resolving widespread incomplete and uneven archaeal classifications is achieved by a rank-normalized genome-based taxonomy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
Katoh, K., & Standley, D. M. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst010 · Cited by 46,209
IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies
Nguyen, L.-T., Schmidt, H. A., von Haeseler, A., & Minh, B. Q. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msu300 · Cited by 26,046
FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Price, M. N., Dehal, P. S., & Arkin, A. P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009490 · Cited by 14,894
Parks, D. H., Imelfort, M., Skennerton, C. T., Hugenholtz, P., & Tyson, G. W. (2015) · Genome Research · doi:10.1101/gr.186072.114 · Cited by 12,496
Self-citationTowards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya.
Woese, C. R., Kandler, O., & Wheelis, M. L. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.12.4576 · Cited by 6,128
Interactive Tree Of Life (iTOL) v4: recent updates and new developments
Letunic, I., & Bork, P. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz239 · Cited by 5,925
GTDB-Tk: a toolkit to classify genomes with the Genome Taxonomy Database
Chaumeil, P.-A., Mussig, A. J., Hugenholtz, P., & Parks, D. H. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btz848 · Cited by 5,259
Self-citationMcDonald, D., Price, M. N., Goodrich, J., Nawrocki, E. P., DeSantis, T. Z., Probst, A., Andersen, G. L., Knight, R., & Hugenholtz, P. (2012) · The ISME Journal · doi:10.1038/ismej.2011.139 · Cited by 5,064
Self-citationPhylogenetic structure of the prokaryotic domain: The primary kingdoms
Woese, C. R., & Fox, G. E. (1977) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.74.11.5088 · Cited by 4,131
A standardized bacterial taxonomy based on genome phylogeny substantially revises the tree of life
Parks, D. H., Chuvochina, M., Waite, D. W., Rinke, C., Skarshewski, A., Chaumeil, P.-A., & Hugenholtz, P. (2018) · Nature Biotechnology · doi:10.1038/nbt.4229 · Cited by 3,603
Self-citation
Cited by
Parks, D. H., Chuvochina, M., Rinke, C., Mussig, A. J., Chaumeil, P.-A., & Hugenholtz, P. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab776 · Cited by 2,402
Self-citationA genome-scale phylogeny of the kingdom Fungi
Li, Y., Steenwyk, J. L., Chang, Y., Wang, Y., James, T. Y., Stajich, J. E., Spatafora, J. W., Groenewald, M., Dunn, C. W., Hittinger, C. T., et al. (2021) · Current Biology · doi:10.1016/j.cub.2021.01.074 · Cited by 365
An estimate of the deepest branches of the tree of life from ancient vertically evolving genes
Moody, E. R., Mahendrarajah, T. A., Dombrowski, N., Clark, J. W., Petitjean, C., Offre, P., Szöllősi, G. J., Spang, A., & Williams, T. A. (2022) · eLife · doi:10.7554/elife.66695 · Cited by 95
ATP synthase evolution on a cross-braced dated tree of life
Mahendrarajah, T. A., Moody, E. R. R., Schrempf, D., Szánthó, L. L., Dombrowski, N., Davín, A. A., Pisani, D., Donoghue, P. C. J., Szöllősi, G. J., Williams, T. A., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42924-w · Cited by 86
“6 – 10).”
BackgroundMethodInfluentialSelf-citationMicrobial hitchhikers harbouring antimicrobial-resistance genes in the riverine plastisphere
Zadjelovic, V., Wright, R. J., Borsetto, C., Quartey, J., Cairns, T. N., Langille, M. G. I., Wellington, E. M. H., & Christie-Oleza, J. A. (2023) · Microbiome · doi:10.1186/s40168-023-01662-3 · Cited by 87
Metadata
- Authors
- Rinke, C., Chuvochina, M., Mussig, A. J., Chaumeil, P.-A., Davín, A. A., Waite, D. W., Whitman, W. B., Parks, D. H., & Hugenholtz, P.
- Venue
- Nature Microbiology
- Published
- 2021-06-21
- Volume
- 6
- Issue
- 7
- Pages
- 946-959
- ISSN
- 2058-5276 (ISSN-L)
- OpenAlex
- W3176930333
- Cited by
- 485
- References
- 79
- FWCI
- 20.86
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A standardized archaeal taxonomy for the Genome Taxonomy Database. https://app.cochat.ai/papers/10.1038/s41564-021-00918-8
- The paper
- Rinke, C., Chuvochina, M., Mussig, A. J., Chaumeil, P.-A., Davín, A. A., Waite, D. W., Whitman, W. B., Parks, D. H., & Hugenholtz, P. (2021). A standardized archaeal taxonomy for the Genome Taxonomy Database. Nature Microbiology. https://doi.org/10.1038/s41564-021-00918-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.