The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Matching phylogeny and metabolism in the uncultured marine bacteria, one cell at a time
Open accessAbstract
The identification of predominant microbial taxa with specific metabolic capabilities remains one the biggest challenges in environmental microbiology, because of the limits of current metagenomic and cell culturing methods. We report results from the direct analysis of multiple genes in individual marine bacteria cells, demonstrating the potential for high-throughput metabolic assignment of yet-uncultured taxa. The protocol uses high-speed fluorescence-activated cell sorting, whole-genome multiple displacement amplification (MDA), and subsequent PCR screening. A pilot library of 11 single amplified genomes (SAGs) was constructed from Gulf of Maine bacterioplankton as proof of concept. The library consisted of five flavobacteria, one sphingobacterium, four alphaproteobacteria, and one gammaproteobacterium. Most of the SAGs, apart from alphaproteobacteria, were phylogenetically distant from existing isolates, with 88–97% identity in the 16S rRNA gene sequence. Thus, single-cell MDA provided access to the genomic material of numerically dominant but yet-uncultured taxonomic groups. Two of five flavobacteria in the SAG library contained proteorhodopsin genes, suggesting that flavobacteria are among the major carriers of this photometabolic system. The puf M and nas A genes were detected in some 100-cell MDA products but not in SAGs, demonstrating that organisms containing bacteriochlorophyll and assimilative nitrate reductase constituted <1% of the sampled bacterioplankton. Compared with metagenomics, the power of our approach lies in the ability to detect metabolic genes in uncultured microorganisms directly, even when the metabolic and phylogenetic markers are located far apart on the chromosome.
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
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
PHYLIP-Phylogeny inference package (Version 3.2)
Felsenstein, J. (1989) · Cladistics · Cited by 17,682
Nucleic acid techniques in bacterial systematics
Stackebrandt, E. S., & Goodfellow, M. (1991) · Wiley eBooks · Cited by 9,460
Multiple sequence alignment with the Clustal series of programs
Chenna, R. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg500 · Cited by 4,875
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
Rusch, D. B., Halpern, A. L., Sutton, G., Heidelberg, K. B., Williamson, S., Yooseph, S., Wu, D., Eisen, J. A., Hoffman, J. M., Remington, K., et al. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050077 · Cited by 2,060
Comparative Metagenomics of Microbial Communities
Tringe, S. G., von Mering, C., Kobayashi, A., Salamov, A. A., Chen, K., Chang, H. W., Podar, M., Short, J. M., Mathur, E. J., Detter, J. C., et al. (2005) · Science · doi:10.1126/science.1107851 · Cited by 1,689
Bacterial Rhodopsin: Evidence for a New Type of Phototrophy in the Sea
Béjà, O., Aravind, L., Koonin, E. V., Suzuki, M. T., Hadd, A., Nguyen, L. P., Jovanovich, S. B., Gates, C. M., Feldman, R. A., Spudich, J. L., et al. (2000) · Science · doi:10.1126/science.289.5486.1902 · Cited by 1,532
Comprehensive human genome amplification using multiple displacement amplification
Dean, F. B., Hosono, S., Fang, L., Wu, X., Faruqi, A. F., Bray-Ward, P., Sun, Z., Zong, Q., Du, Y., Du, J., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.082089499 · Cited by 1,467
Cole, J. R. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg039 · Cited by 1,429
Cited by
The Genome Standards Consortium, Bowers, R. M., Kyrpides, N. C., Stepanauskas, R., Harmon-Smith, M., Doud, D., Reddy, T. B. K., Schulz, F., Jarett, J., Rivers, A. R., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.3893 · Cited by 2,624
Self-citationMetagenomic discovery of biomass-degrading genes and genomes from cow rumen
Hess, M., Sczyrba, A., Egan, R., Kim, T.-W., Chokhawala, H., Schroth, G., Luo, S., Clark, D. S., Chen, F., Zhang, T., et al. (2011) · Science · doi:10.1126/science.1200387 · Cited by 1,319
Potential for Chemolithoautotrophy Among Ubiquitous Bacteria Lineages in the Dark Ocean
Swan, B. K., Martinez-Garcia, M., Preston, C. M., Sczyrba, A., Woyke, T., Lamy, D., Reinthaler, T., Poulton, N. J., Masland, E. D. P., Gomez, M. L., et al. (2011) · Science · doi:10.1126/science.1203690 · Cited by 567
Self-citationSingle-Cell Genomics Reveals Hundreds of Coexisting Subpopulations in Wild Prochlorococcus
Kashtan, N., Roggensack, S. E., Rodrigue, S., Thompson, J. W., Biller, S. J., Coe, A., Ding, H., Marttinen, P., Malmstrom, R. R., Stocker, R., et al. (2014) · Science · doi:10.1126/science.1248575 · Cited by 537
Self-citationPrevalent genome streamlining and latitudinal divergence of planktonic bacteria in the surface ocean
Swan, B. K., Tupper, B., Sczyrba, A., Lauro, F. M., Martinez-Garcia, M., González, J. M., Luo, H., Wright, J. J., Landry, Z. C., Hanson, N. W., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1304246110 · Cited by 406
Self-citation
Metadata
- Authors
- Stepanauskas, R., & Sieracki, M. E.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-05-22
- Volume
- 104
- Issue
- 21
- Pages
- 9052-9057
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2125458111
- Cited by
- 285
- References
- 48
- FWCI
- 17.34
- 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: Matching phylogeny and metabolism in the uncultured marine bacteria, one cell at a time. https://app.cochat.ai/papers/10.1073/pnas.0700496104
- The paper
- Stepanauskas, R., & Sieracki, M. E. (2007). Matching phylogeny and metabolism in the uncultured marine bacteria, one cell at a time. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0700496104
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.