The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Genomic Expansion of Domain Archaea Highlights Roles for Organisms from New Phyla in Anaerobic Carbon Cycling
Open accessAbstract
Background Archaea represent a significant fraction of Earth's biodiversity, yet they remain much less well understood than Bacteria. Gene surveys, a few metagenomic studies, and some single-cell sequencing projects have revealed numerous little-studied archaeal phyla. Certain lineages appear to branch deeply and may be part of a major phylum radiation. The structure of this radiation and the physiology of the organisms remain almost unknown. Results We used genome-resolved metagenomic analyses to investigate the diversity, genomes sizes, metabolic capacities, and potential roles of Archaea in terrestrial subsurface biogeochemical cycles. We sequenced DNA from complex sediment and planktonic consortia from an aquifer adjacent to the Colorado River (USA) and reconstructed the first complete genomes for Archaea using cultivation-independent methods. To provide taxonomic context, we analyzed an additional 151 newly sampled archaeal sequences. We resolved two new phyla within a major, apparently deep-branching group of phyla (a superphylum). The organisms have small genomes, and metabolic predictions indicate that their primary contributions to Earth's biogeochemical cycles involve carbon and hydrogen metabolism, probably associated with symbiotic and/or fermentation-based lifestyles. Conclusions The results dramatically expand genomic sampling of the domain Archaea and clarify taxonomic designations within a major superphylum. This study, in combination with recently published work on bacterial phyla lacking cultivated representatives, reveals a fascinating phenomenon of major radiations of organisms with small genomes, novel proteome composition, and strong interdependence in both domains.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Trees visualized at https://itol.embl.de/itol.cgiusing Netwick files from Hug et al. (2016) concatenated ribosomal proteins in place of 16S rRNA genes (Fig. 3B) indicate that a large radiation of predominantly uncultured mesophilic taxa, which are comprised of potentially symbiotic organisms with small cells and genomes and are referred to as the bacterial candidate phyla radiation (CPR) and the”
From The Emergence of Life (2019) · cites this paper as Castelle et al. 2015
Citations
Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662
A Simple, Fast, and Accurate Algorithm to Estimate Large Phylogenies by Maximum Likelihood
Guindon, S., & Gascuel, O. (2003) · Systematic Biology · doi:10.1080/10635150390235520 · Cited by 16,923
RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models
Stamatakis, A. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl446 · Cited by 15,582
tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence
Lowe, T. M., & Eddy, S. R. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.5.955 · Cited by 11,200
MUSCLE: a multiple sequence alignment method with reduced time and space complexity
Edgar, R. C. (2004) · BMC Bioinformatics · doi:10.1186/1471-2105-5-113 · Cited by 9,119
Pruesse, E., Quast, C., Knittel, K., Fuchs, B. M., Ludwig, W., Peplies, J., & Glöckner, F. O. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm864 · Cited by 6,682
Pfam: the protein families database
Finn, R. D., Bateman, A., Clements, J., Coggill, P., Eberhardt, R. Y., Eddy, S. R., Heger, A., Hetherington, K., Holm, L., Mistry, J., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1223 · Cited by 6,148
Towards 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
Cited by
Sorted by citations
A new view of the tree of life
Hug, L. A., Baker, B. J., Anantharaman, K., Brown, C. T., Probst, A. J., Castelle, C. J., Butterfield, C. N., Hernsdorf, A. W., Amano, Y., Ise, K., et al. (2016) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.48 · Cited by 2,039
Self-citationRecovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life
Parks, D. H., Rinke, C., Chuvochina, M., Chaumeil, P.-A., Woodcroft, B. J., Evans, P. N., Hugenholtz, P., & Tyson, G. W. (2017) · Nature Microbiology · doi:10.1038/s41564-017-0012-7 · Cited by 1,882
Programmed DNA destruction by miniature CRISPR-Cas14 enzymes
Harrington, L. B., Burstein, D., Chen, J. S., Páez-Espino, D., Ma, E., Witte, I. P., Cofsky, J. C., Kyrpides, N. C., Banfield, J. F., & Doudna, J. A. (2018) · Science · doi:10.1126/science.aav4294 · Cited by 1,243
Self-citationAsgard archaea illuminate the origin of eukaryotic cellular complexity
Zaremba-Niedzwiedzka, K., Caceres, E. F., Saw, J. H., Bäckström, D., Juzokaite, L., Vancaester, E., Seitz, K. W., Anantharaman, K., Starnawski, P., Kjeldsen, K. U., et al. (2017) · Nature · doi:10.1038/nature21031 · Cited by 1,226
Self-citationUnusual biology across a group comprising more than 15% of domain Bacteria
Brown, C. T., Hug, L. A., Thomas, B. C., Sharon, I., Castelle, C. J., Singh, A., Wilkins, M. J., Wrighton, K. C., Williams, K. H., & Banfield, J. F. (2015) · Nature · doi:10.1038/nature14486 · Cited by 1,216
Self-citation
Metadata
- Authors
- Castelle, C. J., Wrighton, K. C., Thomas, B. C., Hug, L. A., Brown, C. T., Wilkins, M. J., Frischkorn, K. R., Tringe, S. G., Singh, A., Markillie, L. M., Taylor, R. C., Williams, K. H., & Banfield, J. F.
- Affiliations
- University of California, Berkeley (US)
- The Ohio State University (US)
- Lamont-Doherty Earth Observatory (US)
- Joint Genome Institute (US)
- Pacific Northwest National Laboratory (US)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Banfield, Jillian F.
- ORCID
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 25
- Issue
- 6
- Pages
- 690-701
- ISSN
- 0960-9822 (ISSN-L)
- OpenAlex
- W2117349822
- Cited by
- 536
- References
- 72
- Citations by year
- 2026: 19 · 2025: 22 · 2024: 29 · 2023: 38 · 2022: 52 · 2021: 59 · 2020: 64 · 2019: 54 · 2018: 65 · 2017: 60 · 2016: 57 · 2015: 14
- FWCI
- 59.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 381 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Current Biology (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- US Department of Energy (DOE), Office of Science, Office of Biological and Environmental Research (DE-AC02-05CH11231, DE-SC0004918)
- US DOE Joint Genome Institute, a DOE Office of Science User Facility (DE-AC02-05CH11231)
- DOE Office of Biological and Environmental Research
- US DOE (DE-AC06-76RLO 1830)
- Natural Sciences and Engineering Research Council of Canada postdoctoral fellowship
- Topics
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Environmental Science › Environmental Chemistry › Methane Hydrates and Related Phenomena
- Keywords
- genome-resolved metagenomics, fermentation, aquifer sediments, archaeal diversity
- MeSH terms
- Anaerobiosis, Archaea, Models, Biological, Models, Genetic, Phylogeny, Genome, Archaeal, Biodiversity, Metagenomics, Carbon Cycle
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