The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Phylogenetic and gene-centric metagenomics of the canine intestinal microbiome reveals similarities with humans and mice
Open accessAbstract
This study is the first to use a metagenomics approach to characterize the phylogeny and functional capacity of the canine gastrointestinal microbiome. Six healthy adult dogs were used in a crossover design and fed a low-fiber control diet (K9C) or one containing 7.5% beet pulp (K9BP). Pooled fecal DNA samples from each treatment were subjected to 454 pyrosequencing, generating 503 280 (K9C) and 505 061 (K9BP) sequences. Dominant bacterial phyla included the Bacteroidetes/Chlorobi group and Firmicutes, both of which comprised ∼35% of all sequences, followed by Proteobacteria (13–15%) and Fusobacteria (7–8%). K9C had a greater percentage of Bacteroidetes, Fusobacteria and Proteobacteria, whereas K9BP had greater proportions of the Bacteroidetes/Chlorobi group and Firmicutes. Archaea were not altered by diet and represented ∼1% of all sequences. All archaea were members of Crenarchaeota and Euryarchaeota, with methanogens being the most abundant and diverse. Three fungi phylotypes were present in K9C, but none in K9BP. Less than 0.4% of sequences were of viral origin, with >99% of them associated with bacteriophages. Primary functional categories were not significantly affected by diet and were associated with carbohydrates; protein metabolism; DNA metabolism; cofactors, vitamins, prosthetic groups and pigments; amino acids and derivatives; cell wall and capsule; and virulence. Hierarchical clustering of several gastrointestinal metagenomes demonstrated phylogenetic and metabolic similarity between dogs, humans and mice. More research is required to provide deeper coverage of the canine microbiome, evaluate effects of age, genetics or environment on its composition and activity, and identify its role in gastrointestinal disease.
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“Recent research has shown the microbiome to be critical to health in humans (The Integrative Human Microbiome Project Research Network Consortium, 2014), and this understanding has been extended to other species (Swanson et al., 2011).”
From Microbiomes in Canidae (2021) · cites this paper as Swanson et al., 2011
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An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Finding Groups in Data: An Introduction to Cluster Analysis
Kaufman, L., & Rousseeuw, P. J. (1990) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316801 · Cited by 7,344 · cited 1×
“Wards minimum variance clustering was performed using unscaled Manhattan distances according to the procedure described in the study by Kaufman and Rousseeuw, (1990).”
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
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
Efflux-mediated antimicrobial resistance
Poole, K. (2005) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dki171 · Cited by 1,082
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
Fei, L., Meredith A. J., H., Yvonne, S., & Johanna W., L. (2009) · The Journal of Nutrition · doi:10.3945/jn.109.108191 · Cited by 181
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How informative is the mouse for human gut microbiota research?
Nguyen, T. L. A., Vieira-Silva, S., Liston, A., & Raes, J. (2015) · Disease Models & Mechanisms · doi:10.1242/dmm.017400 · Cited by 1,334
Functional diversity within the simple gut microbiota of the honey bee
Engel, P., Martinson, V. G., & Moran, N. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202970109 · Cited by 874
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
Self-citationIncorporation of therapeutically modified bacteria into gut microbiota inhibits obesity
Chen, Z., Guo, L., Zhang, Y., L. Walzem, R., Pendergast, J. S., Printz, R. L., Morris, L. C., Matafonova, E., Stien, X., Kang, L., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci72517 · Cited by 277
Distinctly altered gut microbiota in the progression of liver disease
Xie, G., Wang, X., Liu, P., Wei, R., Chen, W., Rajani, C., Hernandez, B. Y., Alegado, R., Dong, B., Li, D., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.8466 · Cited by 219
Metadata
- Authors
- Swanson, K. S., Dowd, S. E., Suchodolski, J. S., Middelbos, I. S., Vester, B. M., Barry, K. A., Nelson, K. E., Torralba, M., Henrissat, B., Coutinho, P. M., Cann, I. K. O., White, B. A., & Fahey, G. C.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-10-21
- Volume
- 5
- Issue
- 4
- Pages
- 639-649
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W2066158909
- Cited by
- 420
- References
- 7
- FWCI
- 6.03
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Swanson, K. S., Dowd, S. E., Suchodolski, J. S., Middelbos, I. S., Vester, B. M., Barry, K. A., Nelson, K. E., Torralba, M., Henrissat, B., Coutinho, P. M., Cann, I. K. O., White, B. A., & Fahey, G. C. (2011). Phylogenetic and gene-centric metagenomics of the canine intestinal microbiome reveals similarities with humans and mice. The ISME Journal. https://doi.org/10.1038/ismej.2010.162
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