The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome reveals forage specific glycoside hydrolases
Open accessAbstract
The complex microbiome of the rumen functions as an effective system for the conversion of plant cell wall biomass to microbial protein, short chain fatty acids, and gases. As such, it provides a unique genetic resource for plant cell wall degrading microbial enzymes that could be used in the production of biofuels. The rumen and gastrointestinal tract harbor a dense and complex microbiome. To gain a greater understanding of the ecology and metabolic potential of this microbiome, we used comparative metagenomics (phylotype analysis and SEED subsystems-based annotations) to examine randomly sampled pyrosequence data from 3 fiber-adherent microbiomes and 1 pooled liquid sample (a mixture of the liquid microbiome fractions from the same bovine rumens). Even though the 3 animals were fed the same diet, the community structure, predicted phylotype, and metabolic potentials in the rumen were markedly different with respect to nutrient utilization. A comparison of the glycoside hydrolase and cellulosome functional genes revealed that in the rumen microbiome, initial colonization of fiber appears to be by organisms possessing enzymes that attack the easily available side chains of complex plant polysaccharides and not the more recalcitrant main chains, especially cellulose. Furthermore, when compared with the termite hindgut microbiome, there are fundamental differences in the glycoside hydrolase content that appear to be diet driven for either the bovine rumen (forages and legumes) or the termite hindgut (wood).
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Cites
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
Evolution of mammals and their gut microbes
Ley, R. E., Hamady, M., Lozupone, C., Turnbaugh, P. J., Ramey, R. R., Bircher, J. S., Schlegel, M. L., Tucker, T. A., Schrenzel, M. D., Knight, R., et al. (2008) · Science · doi:10.1126/science.1155725 · Cited by 3,747
An ecological and evolutionary perspective on human–microbe mutualism and disease
Dethlefsen, L., McFall-Ngai, M., & Relman, D. A. (2007) · Nature · doi:10.1038/nature06245 · Cited by 1,660
Functional metagenomic profiling of nine biomes
Dinsdale, E. A., Edwards, R. A., Hall, D., Angly, F., Breitbart, M., Brulc, J. M., Furlan, M., Desnues, C., Haynes, M., Li, L., et al. (2008) · Nature · doi:10.1038/nature06810 · Cited by 980
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Cited by
Microbial degradation of complex carbohydrates in the gut
Flint, H. J., Scott, K. P., Duncan, S. H., Louis, P., & Forano, E. (2012) · Gut Microbes · doi:10.4161/gmic.19897 · Cited by 2,331
Metagenomic discovery of biomass-degrading genes and genomes from cow rumen
Hess, M., Sczyrba, A., Egan, R., Kim, T.-W., Chokhawala, H., Schroth, G., Luo, S., Clark, D. S., Chen, F., Zhang, T., et al. (2011) · Science · doi:10.1126/science.1200387 · Cited by 1,319
Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants.
Shabat, S. K. B., Sasson, G., Doron-Faigenboim, A., Durman, T., Yaacoby, S., Berg Miller, M. E., White, B. A., Shterzer, N., & Mizrahi, I. (2016) · The ISME Journal · doi:10.1038/ismej.2016.62 · Cited by 823
Self-citationMicrobiota and Host Nutrition across Plant and Animal Kingdoms
Hacquard, S., Garrido-Oter, R., González, A., Spaepen, S., Ackermann, G., Lebeis, S., McHardy, A. C., Dangl, J. L., Knight, R., Ley, R., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.04.009 · Cited by 779
Wooley, J. C., Godzik, A., & Friedberg, I. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000667 · Cited by 688
Metadata
- Authors
- Brulc, J. M., Antonopoulos, D. A., Berg Miller, M. E., Wilson, M. K., Yannarell, A. C., Dinsdale, E. A., Edwards, R. E., Frank, E. D., Emerson, J. B., Wacklin, P., Coutinho, P. M., Henrissat, B., Nelson, K. E., & White, B. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-02-10
- Volume
- 106
- Issue
- 6
- Pages
- 1948-1953
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2047341547
- Cited by
- 754
- References
- 4
- FWCI
- 106.77
- Type
- journal article
- Language
- en
- Open access
- green
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- Brulc, J. M., Antonopoulos, D. A., Berg Miller, M. E., Wilson, M. K., Yannarell, A. C., Dinsdale, E. A., Edwards, R. E., Frank, E. D., Emerson, J. B., Wacklin, P., Coutinho, P. M., Henrissat, B., Nelson, K. E., & White, B. A. (2009). Gene-centric metagenomics of the fiber-adherent bovine rumen microbiome reveals forage specific glycoside hydrolases. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0806191105
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