The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Massive parallel 16S rRNA gene pyrosequencing reveals highly diverse fecal bacterial and fungal communities in healthy dogs and cats: Fecal microbiota in dogs and cats using pyrosequencing
Open accessAbstract
This study evaluated the fecal microbiota of 12 healthy pet dogs and 12 pet cats using bacterial and fungal tag-encoded FLX-Titanium amplicon pyrosequencing. A total of 120,406 pyrosequencing reads for bacteria (mean 5017) and 5359 sequences (one pool each for dogs and cats) for fungi were analyzed. Additionally, group-specific 16S rRNA gene clone libraries for Bifidobacterium spp. and lactic acid-producing bacteria (LAB) were constructed. The most abundant bacterial phylum was Firmicutes, followed by Bacteroidetes in dogs and Actinobacteria in cats. The most prevalent bacterial class in dogs and cats was Clostridia, dominated by the genera Clostridium (clusters XIVa and XI) and Ruminococcus. At the genus level, 85 operational taxonomic units (OTUs) were identified in dogs and 113 OTUs in cats. Seventeen LAB and eight Bifidobacterium spp. were detected in canine feces. Ascomycota was the only fungal phylum detected in cats, while Ascomycota, Basidiomycota, Glomeromycota, and Zygomycota were identified in dogs. Nacaseomyces was the most abundant fungal genus in dogs; Saccharomyces and Aspergillus were predominant in cats. At the genus level, 33 different fungal OTUs were observed in dogs and 17 OTUs in cats. In conclusion, this study revealed a highly diverse bacterial and fungal microbiota in canine and feline feces.
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
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
Dethlefsen, L., Huse, S., Sogin, M. L., & Relman, D. A. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060280 · Cited by 2,361
Human 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
Dowd, S. E., Callaway, T. R., Wolcott, R. D., Sun, Y., McKeehan, T., Hagevoort, R. G., & Edrington, T. S. (2008) · BMC Microbiology · doi:10.1186/1471-2180-8-125 · Cited by 1,121 · cited 3×
“Bacterial and fungal tag-encoded FLX-Titanium amplicon pyrosequencing (bTEFAP and fTEFAP) and data processing were performed at the Research and Testing Laboratory (Lubbock, TX) as described previously (Dowd et al., 2008).”
MethodInfluentialKassinen, A., Krogius-Kurikka, L., Mäkivuokko, H., Rinttilä, T., Paulin, L., Corander, J., Malinen, E., Apajalahti, J., & Palva, A. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.04.005 · Cited by 1,002
Cited by
The Gastrointestinal Microbiome: A Review
Barko, P. C., McMichael, M. A., Swanson, K. S., & Williams, D. A. (2018) · Journal of Veterinary Internal Medicine · doi:10.1111/jvim.14875 · Cited by 750
Dietary effects on human gut microbiome diversity
Xu, Z., & Knight, R. (2015) · British Journal Of Nutrition · doi:10.1017/s0007114514004127 · Cited by 456
Minamoto, Y., Otoni, C. C., Steelman, S. M., Büyükleblebici, O., Steiner, J. M., Jergens, A. E., & Suchodolski, J. S. (2015) · Gut Microbes · doi:10.1080/19490976.2014.997612 · Cited by 340
Self-citationDrivers of Microbiome Biodiversity: A Review of General Rules, Feces, and Ignorance
Reese, A. T., & Dunn, R. R. (2018) · mBio · doi:10.1128/mbio.01294-18 · Cited by 325
Davinic, M., Fultz, L. M., Acosta-Martinez, V., Calderón, F. J., Cox, S. B., Dowd, S. E., Allen, V. G., Zak, J. C., & Moore-Kucera, J. (2012) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2011.11.012 · Cited by 290
Self-citation
Metadata
- Authors
- Handl, S., Dowd, S. E., Garcia-Mazcorro, J. F., Steiner, J. M., & Suchodolski, J. S.
- Venue
- FEMS Microbiology Ecology
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-02-14
- Volume
- 76
- Issue
- 2
- Pages
- 301-310
- ISSN
- 0168-6496 (ISSN-L)
- OpenAlex
- W1748662539
- Cited by
- 442
- References
- 5
- FWCI
- 12.23
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Massive parallel 16S rRNA gene pyrosequencing reveals highly diverse fecal bacterial and fungal communities in healthy dogs and cats: Fecal microbiota in dogs and cats using pyrosequencing. https://app.cochat.ai/papers/10.1111/j.1574-6941.2011.01058.x
- The paper
- Handl, S., Dowd, S. E., Garcia-Mazcorro, J. F., Steiner, J. M., & Suchodolski, J. S. (2011). Massive parallel 16S rRNA gene pyrosequencing reveals highly diverse fecal bacterial and fungal communities in healthy dogs and cats: Fecal microbiota in dogs and cats using pyrosequencing. FEMS Microbiology Ecology. https://doi.org/10.1111/j.1574-6941.2011.01058.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.
