The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
An environmental bacterial taxon with a large and distinct metabolic repertoire
Open accessAbstract
Cultivated bacteria such as actinomycetes are a highly useful source of biomedically important natural products. However, such ‘talented’ producers represent only a minute fraction of the entire, mostly uncultivated, prokaryotic diversity. The uncultured majority is generally perceived as a large, untapped resource of new drug candidates, but so far it is unknown whether taxa containing talented bacteria indeed exist. Here we report the single-cell- and metagenomics-based discovery of such producers. Two phylotypes of the candidate genus ‘Entotheonella’ with genomes of greater than 9 megabases and multiple, distinct biosynthetic gene clusters co-inhabit the chemically and microbially rich marine sponge Theonella swinhoei. Almost all bioactive polyketides and peptides known from this animal were attributed to a single phylotype. ‘Entotheonella’ spp. are widely distributed in sponges and belong to an environmental taxon proposed here as candidate phylum ‘Tectomicrobia’. The pronounced bioactivities and chemical uniqueness of ‘Entotheonella’ compounds provide significant opportunities for ecological studies and drug discovery. Single-cell- and metagenomics-based study reveals two members of the candidate genus ‘Entotheonella’, symbionts of the marine sponge Theonella swinhoei; distinct biosynthetic gene clusters that account for most of the bioactive polyketides and peptides known from T. swinhoei are shown to be attributable to a single member of the T. swinhoei Y microbiome. Almost all drugs and drug candidates from bacteria are produced by a few groups of metabolically rich organisms. That leaves the unculturable — or uncultivated — microbial majority as a largely untapped resource. Here Jörn Piel and colleagues report the use of single-cell and metagenomic analysis to identify two potential 'environmental factories', both members of the candidate genus Entotheonella and symbionts of the chemically rich marine sponge Theonella swinhoei. Importantly they find that the genomes of both microbes encode multiple distinct biosynthetic gene clusters that together account for most of the bioactive polyketides and peptides previously thought to be produced by the sponge host. This discovery identifies Entotheonella and members of the newly proposed phylum Tectomicrobia as a 'biochemically talented' phylum on a par with the actinomycetes.
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
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
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
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
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
The RAST Server: Rapid Annotations using Subsystems Technology
Aziz, R. K., Bartels, D., Best, A. A., DeJongh, M., Disz, T., Edwards, R. A., Formsma, K., Gerdes, S., Glass, E. M., Kubal, M., et al. (2008) · BMC Genomics · doi:10.1186/1471-2164-9-75 · Cited by 11,729
Accelerated Profile HMM Searches
Eddy, S. R. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002195 · Cited by 6,975
ARB: a software environment for sequence data
Ludwig, W. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh293 · Cited by 6,702
Pruesse, E., Quast, C., Knittel, K., Fuchs, B. M., Ludwig, W., Peplies, J., & Glockner, F. O. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm864 · Cited by 6,668
Complete genome sequence of the model actinomycete Streptomyces coelicolor A3(2)
Bentley, S. D., Chater, K. F., Cerdeño-Tárraga, A.-M., Challis, G. L., Thomson, N. R., James, K. D., Harris, D. E., Quail, M. A., Kieser, H., Harper, D., et al. (2002) · Nature · doi:10.1038/417141a · Cited by 3,233
Bioactive Microbial Metabolites: A Personal View
Bérdy, J. (2005) · The Journal of Antibiotics · doi:10.1038/ja.2005.1 · Cited by 3,170
Cited by
Fast and sensitive protein alignment using DIAMOND
Buchfink, B., Xie, C., & Huson, D. H. (2015) · Nature Methods · doi:10.1038/nmeth.3176 · Cited by 14,201
Natural products as sources of new drugs from 1981 to 2014
Newman, D. J., & Cragg, G. M. (2016) · Journal of Natural Products · doi:10.1021/acs.jnatprod.5b01055 · Cited by 5,858
Wang, M., Carver, J. J., Phelan, V. V., Sanchez, L. M., Garg, N., Peng, Y., Nguyen, D. D., Watrous, J., Kapono, C. A., Luzzatto-Knaan, T., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3597 · Cited by 4,629
Self-citationAntibiotics: past, present and future
Hutchings, M. I., Truman, A. W., & Wilkinson, B. (2019) · Current Opinion in Microbiology · doi:10.1016/j.mib.2019.10.008 · Cited by 2,370
Discovery of microbial natural products by activation of silent biosynthetic gene clusters
Rutledge, P. J., & Challis, G. L. (2015) · Nature Reviews Microbiology · doi:10.1038/nrmicro3496 · Cited by 986
Metadata
- Authors
- Wilson, M. C., Mori, T., Rückert, C., Uria, A. R., Helf, M. J., Takada, K., Gernert, C., Steffens, U. A. E., Heycke, N., Schmitt, S., Rinke, C., Helfrich, E. J. N., Brachmann, A. O., Gurgui, C., Wakimoto, T., Kracht, M., Crüsemann, M., Hentschel, U., Abe, I., Matsunaga, S., Kalinowski, J., Takeyama, H., & Piel, J.
- Venue
- Nature
- Published
- 2014-01-29
- Volume
- 506
- Issue
- 7486
- Pages
- 58-62
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2007404630
- Cited by
- 606
- References
- 61
- FWCI
- 60.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: An environmental bacterial taxon with a large and distinct metabolic repertoire. https://app.cochat.ai/papers/10.1038/nature12959
- The paper
- Wilson, M. C., Mori, T., Rückert, C., Uria, A. R., Helf, M. J., Takada, K., Gernert, C., Steffens, U. A. E., Heycke, N., Schmitt, S., Rinke, C., Helfrich, E. J. N., Brachmann, A. O., Gurgui, C., Wakimoto, T., Kracht, M., Crüsemann, M., Hentschel, U., Abe, I., . . . Piel, J. (2014). An environmental bacterial taxon with a large and distinct metabolic repertoire. Nature. https://doi.org/10.1038/nature12959
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.