The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Expression patterns reveal niche diversification in a marine microbial assemblage
Open accessAbstract
Resolving the ecological niches of coexisting marine microbial taxa is challenging due to the high species richness of microbial communities and the apparent functional redundancy in bacterial genomes and metagenomes. Here, we generated over 11 million Illumina reads of protein-encoding transcripts collected from well-mixed southeastern US coastal waters to characterize gene expression patterns distinguishing the ecological roles of hundreds of microbial taxa sharing the same environment. The taxa with highest in situ growth rates (based on relative abundance of ribosomal protein transcripts) were typically not the greatest contributors to community transcription, suggesting strong top-down ecological control, and their diverse transcriptomes indicated roles as metabolic generalists. The taxa with low in situ growth rates typically had low diversity transcriptomes dominated by specialized metabolisms. By identifying protein-encoding genes with atypically high expression for their level of conservation, unique functional roles of community members emerged related to substrate use (such as complex carbohydrates, fatty acids, methanesulfonate, taurine, tartrate, ectoine), alternative energy-conservation strategies (proteorhodopsin, AAnP, V-type pyrophosphatases, sulfur oxidation, hydrogen oxidation) and mechanisms for negotiating a heterogeneous environment (flagellar motility, gliding motility, adhesion strategies). On average, the heterotrophic bacterioplankton dedicated 7% of their transcriptomes to obtaining energy by non-heterotrophic means. This deep sequencing of a coastal bacterioplankton transcriptome provides the most highly resolved view of bacterioplankton niche dimensions yet available, uncovering a spectrum of unrecognized ecological strategies.
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
New substrates for TonB-dependent transport: do we only see the ‘tip of the iceberg’?
Schauer, K., Rodionov, D. A., & de Reuse, H. (2008) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2008.04.012 · Cited by 360
Cited by
The reconstruction of 2,631 draft metagenome-assembled genomes from the global oceans
Tully, B. J., Graham, E. D., & Heidelberg, J. F. (2018) · Scientific Data · doi:10.1038/sdata.2017.203 · Cited by 508
Žifčáková, L., Větrovský, T., Howe, A., & Baldrian, P. (2016) · Environmental Microbiology · doi:10.1111/1462-2920.13026 · Cited by 406
Moran, M. A., Satinsky, B., Gifford, S. M., Luo, H., Rivers, A., Chan, L.-K., Meng, J., Durham, B. P., Shen, C., Varaljay, V. A., et al. (2013) · The ISME Journal · doi:10.1038/ismej.2012.94 · Cited by 353
Self-citationGrowth Rates of Microbes in the Oceans
Kirchman, D. L. (2016) · Annual Review of Marine Science · doi:10.1146/annurev-marine-122414-033938 · Cited by 285
Present and Future of Culturing Bacteria
Overmann, J., Abt, B., & Sikorski, J. (2017) · Annual Review of Microbiology · doi:10.1146/annurev-micro-090816-093449 · Cited by 282
Metadata
- Authors
- Gifford, S. M., Sharma, S., Booth, M., & Moran, M. A.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-08-30
- Volume
- 7
- Issue
- 2
- Pages
- 281-298
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W2017221574
- Cited by
- 200
- References
- 1
- FWCI
- 14.47
- 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: Expression patterns reveal niche diversification in a marine microbial assemblage. https://app.cochat.ai/papers/10.1038/ismej.2012.96
- The paper
- Gifford, S. M., Sharma, S., Booth, M., & Moran, M. A. (2013). Expression patterns reveal niche diversification in a marine microbial assemblage. The ISME Journal. https://doi.org/10.1038/ismej.2012.96
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.