The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Genetic determinants of in vivo fitness and diet responsiveness in multiple human gut Bacteroides
Open accessAbstract
Diet shapes host and gut microbe fitness: The human gut microbiota is hugely diverse, with many strain variants having a multiplicity of effects on host metabolism and immunity. To define some of these functions, Wu et al. made libraries of mutants of Bacteroides species known for their capacity to process otherwise intractable dietary fiber. Germ-free mice colonized with defined gut microbiota communities containing the mutants were fed specific diets containing different ratios of fat and fiber. Genes, strains, and species were identified that were associated with specific metabolic pathways. The community responses to dietary shifts were manipulated in an attempt to characterize species for their probiotic or therapeutic potential. Science , this issue 10.1126/science.aac5992 >
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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
progressiveMauve: Multiple Genome Alignment with Gene Gain, Loss and Rearrangement
Darling, A. E., Mau, B., & Perna, N. T. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011147 · Cited by 3,848
The Long-Term Stability of the Human Gut Microbiota
Faith, J. J., Guruge, J. L., Charbonneau, M., Subramanian, S., Seedorf, H., Goodman, A. L., Clemente, J. C., Knight, R., Heath, A. C., Leibel, R. L., et al. (2013) · Science · doi:10.1126/science.1237439 · Cited by 2,058
Self-citationA Genomic View of the Human- Bacteroides thetaiotaomicron Symbiosis
Xu, J., Bjursell, M. K., Himrod, J., Deng, S., Carmichael, L. K., Chiang, H. C., Hooper, L. V., & Gordon, J. I. (2003) · Science · doi:10.1126/science.1080029 · Cited by 1,353
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Sonnenburg, J. L., Xu, J., Leip, D. D., Chen, C.-H., Westover, B. P., Weatherford, J., Buhler, J. D., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1109051 · Cited by 1,184
Self-citationA Catalog of Reference Genomes from the Human Microbiome
The Human Microbiome Jumpstart Reference Strains Consortium, Nelson, K. E., Weinstock, G. M., Highlander, S. K., Worley, K. C., Creasy, H. H., Wortman, J. R., Rusch, D. B., Mitreva, M., Sodergren, E., et al. (2010) · Science · doi:10.1126/science.1183605 · Cited by 702
RegPrecise 3.0–a resource for genome-scale exploration of transcriptional regulation in bacteria
Novichkov, P. S., Kazakov, A. E., Ravcheev, D. A., Leyn, S. A., Kovaleva, G. Y., Sutormin, R. A., Kazanov, M. D., Riehl, W., Arkin, A. P., Dubchak, I., et al. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-745 · Cited by 451
Self-citationAntimicrobial peptide resistance mediates resilience of prominent gut commensals during inflammation
Cullen, T. W., Schofield, W. B., Barry, N. A., Putnam, E. E., Rundell, E. A., Trent, M. S., Degnan, P. H., Booth, C. J., Yu, H., & Goodman, A. L. (2015) · Science · doi:10.1126/science.1260580 · Cited by 395
Gnotobiotic mouse model of phage–bacterial host dynamics in the human gut
Reyes, A., Wu, M., McNulty, N. P., Rohwer, F. L., & Gordon, J. I. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1319470110 · Cited by 355
Self-citationKashyap, P. C., Marcobal, A., Ursell, L. K., Smits, S. A., Sonnenburg, E. D., Costello, E. K., Higginbottom, S. K., Domino, S. E., Holmes, S. P., Relman, D. A., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1306070110 · Cited by 285
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Cited by
You are what you eat: Diet, health and the gut microbiota
Zmora, N., Suez, J., & Elinav, E. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0061-2 · Cited by 1,792
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Bäumler, A. J., & Sperandio, V. (2016) · Nature · doi:10.1038/nature18849 · Cited by 1,420
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Arnold, B. J., Huang, I.-T., & Hanage, W. P. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00650-4 · Cited by 869
An insider's perspective: Bacteroides as a window into the microbiome
Wexler, A. G., & Goodman, A. L. (2017) · Nature Microbiology · doi:10.1038/nmicrobiol.2017.26 · Cited by 641
Gut microbiota, obesity and diabetes
Patterson, E., Ryan, P. M., Cryan, J. F., Dinan, T. G., Ross, R. P., Fitzgerald, G. F., & Stanton, C. (2016) · Postgraduate Medical Journal · doi:10.1136/postgradmedj-2015-133285 · Cited by 552
Metadata
- Authors
- Wu, M., McNulty, N. P., Rodionov, D. A., Khoroshkin, M. S., Griffin, N. W., Cheng, J., Latreille, P., Kerstetter, R. A., Terrapon, N., Henrissat, B., Osterman, A. L., & Gordon, J. I.
- Venue
- Science
- Published
- 2015-10-02
- Volume
- 350
- Issue
- 6256
- Pages
- aac5992-aac5992
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1945011216
- Cited by
- 245
- References
- 10
- FWCI
- 9.26
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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