The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Metatranscriptomic Approach to Analyze the Functional Human Gut Microbiota
Open accessAbstract
The human gut is the natural habitat for a large and dynamic bacterial community that has a great relevance for health. Metagenomics is increasing our knowledge of gene content as well as of functional and genetic variability in this microbiome. However, little is known about the active bacteria and their function(s) in the gastrointestinal tract. We performed a metatranscriptomic study on ten healthy volunteers to elucidate the active members of the gut microbiome and their functionality under conditions of health. First, the microbial cDNAs obtained from each sample were sequenced using 454 technology. The analysis of 16S transcripts showed the phylogenetic structure of the active microbial community. Lachnospiraceae, Ruminococcaceae, Bacteroidaceae, Prevotellaceae, and Rickenellaceae were the predominant families detected in the active microbiota. The characterization of mRNAs revealed a uniform functional pattern in healthy individuals. The main functional roles of the gut microbiota were carbohydrate metabolism, energy production and synthesis of cellular components. In contrast, housekeeping activities such as amino acid and lipid metabolism were underrepresented in the metatranscriptome. Our results provide new insights into the functionality of the complex gut microbiota in healthy individuals. In this RNA-based survey, we also detected small RNAs, which are important regulatory elements in prokaryotic physiology and pathogenicity.
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
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
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
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058 · cited 1×
“and comparison of microbial community composition between different environments [9,14,17,19,20,21,22,23,24,25,26,27,28].”
BackgroundHuman gut microbiota in obesity and after gastric bypass
Zhang, H., DiBaise, J. K., Zuccolo, A., Kudrna, D., Braidotti, M., Yu, Y., Parameswaran, P., Crowell, M. D., Wing, R., Rittmann, B. E., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812600106 · Cited by 1,880
Comparative metagenomics revealed commonly enriched gene sets in human gut microbiomes
Kurokawa, K., Itoh, T., Kuwahara, T., Oshima, K., Toh, H., Toyoda, A., Takami, H., Morita, H., Sharma, V. K., Srivastava, T. P., et al. (2007) · DNA Research · doi:10.1093/dnares/dsm018 · Cited by 869
Zoetendal, E. G., von Wright, A., Vilpponen-Salmela, T., Ben-Amor, K., Akkermans, A. D. L., & de Vos, W. M. (2002) · Applied and Environmental Microbiology · doi:10.1128/aem.68.7.3401-3407.2002 · Cited by 868
Daniel, R. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1160 · Cited by 862
Cited by
Gut microbiota functions: metabolism of nutrients and other food components
Rowland, I., Gibson, G., Heinken, A., Scott, K., Swann, J., Thiele, I., & Tuohy, K. (2018) · European Journal of Nutrition · doi:10.1007/s00394-017-1445-8 · Cited by 2,878
“[118] performed a metatranscriptomic analysis of faecal microbiota from 10 healthy subjects.”
BackgroundBacteria as vitamin suppliers to their host: A gut microbiota perspective
LeBlanc, J. G., Milani, C., de Giori, G. S., Sesma, F., van Sinderen, D., & Ventura, M. (2013) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2012.08.005 · Cited by 1,613
Manichanh, C., Borruel, N., Casellas, F., & Guarner, F. (2012) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2012.152 · Cited by 1,160
Hemarajata, P., & Versalovic, J. (2013) · Therapeutic Advances in Gastroenterology · doi:10.1177/1756283x12459294 · Cited by 1,083
Intestinal microbiota in functional bowel disorders: a Rome foundation report
Simrén, M., Barbara, G., Flint, H. J., Spiegel, B. M. R., Spiller, R. C., Vanner, S., Verdu, E. F., Whorwell, P. J., & Zoetendal, E. G. (2013) · Gut · doi:10.1136/gutjnl-2012-302167 · Cited by 939
Metadata
- Authors
- Gosalbes, M. J., Durbán, A., Pignatelli, M., Abellan, J. J., Jiménez-Hernández, N., Pérez-Cobas, A. E., Latorre, A., & Moya, A.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-03-08
- Volume
- 6
- Issue
- 3
- Pages
- e17447
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1970472465
- Cited by
- 378
- References
- 9
- FWCI
- 13.05
- Type
- journal article
- Language
- en
- Open access
- gold
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: Metatranscriptomic Approach to Analyze the Functional Human Gut Microbiota. https://app.cochat.ai/papers/10.1371/journal.pone.0017447
- The paper
- Gosalbes, M. J., Durbán, A., Pignatelli, M., Abellan, J. J., Jiménez-Hernández, N., Pérez-Cobas, A. E., Latorre, A., & Moya, A. (2011). Metatranscriptomic Approach to Analyze the Functional Human Gut Microbiota. PLoS ONE. https://doi.org/10.1371/journal.pone.0017447
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.
