The DOI matches its Crossref record.
Isolating "Uncultivable" Microorganisms in Pure Culture in a Simulated Natural Environment
Abstract
The majority (>99%) of microorganisms from the environment resist cultivation in the laboratory. Ribosomal RNA analysis suggests that uncultivated organisms are found in nearly every prokaryotic group, and several divisions have no known cultivable representatives. We designed a diffusion chamber that allowed the growth of previously uncultivated microorganisms in a simulated natural environment. Colonies of representative marine organisms were isolated in pure culture. These isolates did not grow on artificial media alone but formed colonies in the presence of other microorganisms. This observation may help explain the nature of microbial uncultivability.
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
Cited by
Persister cells, dormancy and infectious disease
Lewis, K. (2007) · Nature Reviews Microbiology · doi:10.1038/nrmicro1557 · Cited by 2,052
Self-citationOral multispecies biofilm development and the key role of cell–cell distance
Kolenbrander, P. E., Palmer, R. J., Periasamy, S., & Jakubovics, N. S. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2381 · Cited by 1,309
Microbial degradation of organophosphorus compounds
Singh, B. K., & Walker, A. (2006) · FEMS Microbiology Reviews · doi:10.1111/j.1574-6976.2006.00018.x · Cited by 1,013
Daniel, R. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1160 · Cited by 862
Zengler, K., Toledo, G., Rappé, M., Elkins, J., Mathur, E. J., Short, J. M., & Keller, M. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.252630999 · Cited by 796
Discovery of novel metabolites from marine actinomycetes
Lam, K. S. (2006) · Current Opinion in Microbiology · doi:10.1016/j.mib.2006.03.004 · Cited by 539
Shah, I. M., Laaberki, M.-H., Popham, D. L., & Dworkin, J. (2008) · Cell · doi:10.1016/j.cell.2008.08.039 · Cited by 489
Actinomycetes: Still a source of novel antibiotics
Genilloud, O. (2017) · Natural Product Reports · doi:10.1039/c7np00026j · Cited by 465
Marine crude-oil biodegradation: a central role for interspecies interactions
McGenity, T. J., Folwell, B. D., McKew, B. A., & Sanni, G. O. (2012) · Aquatic Biosystems · doi:10.1186/2046-9063-8-10 · Cited by 430
Construction of microbial consortia for microbial degradation of complex compounds
Cao, Z., Yan, W., Ding, M., & Yuan, Y. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.1051233 · Cited by 274
Biotechnological basis of microbial consortia for the removal of pesticides from the environment
Bhatt, P., Bhatt, K., Sharma, A., Zhang, W., Mishra, S., & Chen, S. (2021) · Critical Reviews in Biotechnology · doi:10.1080/07388551.2020.1853032 · Cited by 248
Past, present and future applications of flow cytometry in aquatic microbiology
Wang, Y., Hammes, F., De Roy, K., Verstraete, W., & Boon, N. (2010) · Trends in Biotechnology · doi:10.1016/j.tibtech.2010.04.006 · Cited by 247
Black Queen evolution: the role of leakiness in structuring microbial communities
Morris, J. J. (2015) · Trends in Genetics · doi:10.1016/j.tig.2015.05.004 · Cited by 207
Shock, E. L., Holland, M., Meyer-Dombard, D., Amend, J. P., Osburn, G. R., & Fischer, T. P. (2010) · Geochimica et Cosmochimica Acta · doi:10.1016/j.gca.2009.08.036 · Cited by 156
Confronting the challenges of natural product-based antifungal discovery
Roemer, T., Xu, D., Singh, S. B., Parish, C. A., Harris, G., Wang, H., Davies, J. E., & Bills, G. F. (2011) · Chemistry & Biology · doi:10.1016/j.chembiol.2011.01.009 · Cited by 147
The Impact of Intratumoral and Gastrointestinal Microbiota on Systemic Cancer Therapy
Cogdill, A. P., Gaudreau, P. O., Arora, R., Gopalakrishnan, V., & Wargo, J. A. (2018) · Trends in Immunology · doi:10.1016/j.it.2018.09.007 · Cited by 98
Rocha-Martin, J., Harrington, C., Dobson, A., & O'Gara, F. (2014) · Marine Drugs · doi:10.3390/md12063516 · Cited by 84
Advances in microbial ecosystem concepts and their consequences for ruminant agriculture
Edwards, J. E., Huws, S. A., Kim, E. J., Lee, M. R. F., Kingston-Smith, A. H., & Scollan, N. D. (2008) · animal · doi:10.1017/s1751731108002164 · Cited by 75
Metadata
- Authors
- Kaeberlein, T., Lewis, K., & Epstein, S. S.
- Venue
- Science
- Published
- 2002-05-10
- Volume
- 296
- Issue
- 5570
- Pages
- 1127-1129
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2091113559
- Cited by
- 1,237
- References
- 0
- FWCI
- 36.17
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.