The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Comparative day/night metatranscriptomic analysis of microbial communities in the North Pacific subtropical gyre
Abstract
Summary: Metatranscriptomic analyses of microbial assemblages (< 5 μm) from surface water at the Hawaiian Ocean Time‐Series (HOT) revealed community‐wide metabolic activities and day/night patterns of differential gene expression. Pyrosequencing produced 75 558 putative mRNA reads from a day transcriptome and 75 946 from a night transcriptome. Taxonomic binning of annotated mRNAs indicated that Cyanobacteria contributed a greater percentage of the transcripts (54% of annotated sequences) than expected based on abundance (35% of cell counts and 21% 16S rRNA of libraries), and may represent the most actively transcribing cells in this surface ocean community in both the day and night. Major heterotrophic taxa contributing to the community transcriptome included α ‐Proteobacteria (19% of annotated sequences, most of which were SAR11‐related) and γ ‐Proteobacteria (4%). The composition of transcript pools was consistent with models of prokaryotic gene expression, including operon‐based transcription patterns and an abundance of genes predicted to be highly expressed. Metabolic activities that are shared by many microbial taxa (e.g. glycolysis, citric acid cycle, amino acid biosynthesis and transcription and translation machinery) were well represented among the community transcripts. There was an overabundance of transcripts for photosynthesis, C1 metabolism and oxidative phosphorylation in the day compared with night, and evidence that energy acquisition is coordinated with solar radiation levels for both autotrophic and heterotrophic microbes. In contrast, housekeeping activities such as amino acid biosynthesis, membrane synthesis and repair, and vitamin biosynthesis were overrepresented in the night transcriptome. Direct sequencing of these environmental transcripts has provided detailed information on metabolic and biogeochemical responses of a microbial community to solar forcing.
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
Archaea predominate among ammonia-oxidizing prokaryotes in soils
Leininger, S., Urich, T., Schloter, M., Schwark, L., Qi, J., Nicol, G. W., Prosser, J. I., Schuster, S. C., & Schleper, C. (2006) · Nature · doi:10.1038/nature04983 · Cited by 2,497
SAR11 clade dominates ocean surface bacterioplankton communities
Morris, R. M., Rappé, M. S., Connon, S. A., Vergin, K. L., Siebold, W. A., Carlson, C. A., & Giovannoni, S. J. (2002) · Nature · doi:10.1038/nature01240 · Cited by 1,129
Cited by
Interaction and signalling between a cosmopolitan phytoplankton and associated bacteria
Amin, S. A., Hmelo, L. R., van Tol, H. M., Durham, B. P., Carlson, L. T., Heal, K. R., Morales, R. L., Berthiaume, C. T., Parker, M. S., Djunaedi, B., et al. (2015) · Nature · doi:10.1038/nature14488 · Cited by 1,125
Self-citationThe core gut microbiome, energy balance and obesity
Turnbaugh, P. J., & Gordon, J. I. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.174136 · Cited by 993
Specialized metabolites from the microbiome in health and disease
Sharon, G., Garg, N., Debelius, J., Knight, R., Dorrestein, P. C., & Mazmanian, S. K. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.10.016 · Cited by 544
Chapter 12: Human Microbiome Analysis
Morgan, X. C., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002808 · Cited by 496
Molecular microbiology methods for environmental diagnosis
Bouchez, T., Blieux, A. L., Dequiedt, S., Domaizon, I., Dufresne, A., Ferreira, S., Godon, J. J., Hellal, J., Joulian, C., Quaiser, A., et al. (2016) · Environmental Chemistry Letters · doi:10.1007/s10311-016-0581-3 · Cited by 121
Metadata
- Authors
- Poretsky, R. S., Hewson, I., Sun, S., Allen, A. E., Zehr, J. P., & Moran, M. A.
- Venue
- Environmental Microbiology
- Publisher
- Wiley
- Published
- 2009-05-31
- Volume
- 11
- Issue
- 6
- Pages
- 1358-1375
- ISSN
- 1462-2912 (ISSN-L)
- 1462-2920
- OpenAlex
- W2141561400
- Cited by
- 313
- References
- 2
- FWCI
- 35.29
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Comparative day/night metatranscriptomic analysis of microbial communities in the North Pacific subtropical gyre. https://app.cochat.ai/papers/10.1111/j.1462-2920.2008.01863.x
- The paper
- Poretsky, R. S., Hewson, I., Sun, S., Allen, A. E., Zehr, J. P., & Moran, M. A. (2009). Comparative day/night metatranscriptomic analysis of microbial communities in the North Pacific subtropical gyre. Environmental Microbiology. https://doi.org/10.1111/j.1462-2920.2008.01863.x
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.