The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
High-throughput diversity and functionality analysis of the gastrointestinal tract microbiota
Open accessAbstract
The human gastrointestinal (GI) tract microbiota plays a pivotal role in our health. For more than a decade a major input for describing the diversity of the GI tract microbiota has been derived from the application of small subunit ribosomal RNA (SSU rRNA)-based technologies. These not only provided a phylogenetic framework of the GI tract microbiota, the majority of which has not yet been cultured, but also advanced insights into the impact of host and environmental factors on the microbiota community structure and dynamics. In addition, it emerged that GI tract microbial communities are host and GI tract location-specific. This complicates establishing relevant links between the host’s health and the presence or abundance of specific microbial populations and argues for the implementation of novel high-throughput technologies in studying the diversity and functionality of the GI tract microbiota. Here, we focus on the recent developments and applications of phylogenetic microarrays based on SSU rRNA sequences and metagenomics approaches exploiting rapid sequencing technologies in unravelling the secrets of our GI tract microbiota.
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Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
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
Towards a natural system of organisms: proposal for the domains Archaea, Bacteria, and Eucarya.
Woese, C. R., Kandler, O., & Wheelis, M. L. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.12.4576 · Cited by 6,128
Woese, C. R. (1987) · Microbiological Reviews · doi:10.1128/mr.51.2.221-271.1987 · Cited by 5,042
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
Development of the Human Infant Intestinal Microbiota
Palmer, C., Bik, E. M., DiGiulio, D. B., Relman, D. A., & Brown, P. O. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050177 · Cited by 2,877
Reduced diversity of faecal microbiota in Crohn’s disease revealed by a metagenomic approach
Manichanh, C., Rigottier-Gois, L., Bonnaud, E., Gloux, K., Pelletier, E., Frangeul, L., Nalin, R., Jarrin, C., Chardon, P., Marteau, P., et al. (2006) · Gut · doi:10.1136/gut.2005.073817 · Cited by 2,277
Akkermansia muciniphila gen. nov., sp. nov., a human intestinal mucin-degrading bacterium
Derrien, M., Vaughan, E. E., Plugge, C. M., & de Vos, W. M. (2004) · International Journal of Systematic and Evolutionary Microbiology · doi:10.1099/ijs.0.02873-0 · Cited by 2,094
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
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Enterotypes of the human gut microbiome
MetaHIT Consortium (additional members), Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, T., Mende, D. R., Fernandes, G. R., Tap, J., Bruls, T., et al. (2011) · Nature · doi:10.1038/nature09944 · Cited by 7,548
Self-citationGut microbiome and health: mechanistic insights
de Vos, W. M., Tilg, H., Van Hul, M., & Cani, P. D. (2022) · Gut · doi:10.1136/gutjnl-2021-326789 · Cited by 2,388
Self-citationComposition, variability, and temporal stability of the intestinal microbiota of the elderly
Claesson, M. J., Cusack, S., O'Sullivan, O., Greene-Diniz, R., de Weerd, H., Flannery, E., Marchesi, J. R., Falush, D., Dinan, T., Fitzgerald, G., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000097107 · Cited by 1,754
Dysbiosis of the gut microbiota in disease
Carding, S., Verbeke, K., Vipond, D. T., Corfe, B. M., & Owen, L. J. (2015) · Microbial Ecology in Health & Disease · doi:10.3402/mehd.v26.26191 · Cited by 1,710
Through Ageing, and Beyond: Gut Microbiota and Inflammatory Status in Seniors and Centenarians
Biagi, E., Nylund, L., Candela, M., Ostan, R., Bucci, L., Pini, E., Nikkïla, J., Monti, D., Satokari, R., Franceschi, C., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010667 · Cited by 1,483
Metadata
- Authors
- Zoetendal, E. G., Rajilić-Stojanović, M., & de Vos, W. M.
- Venue
- Gut
- Publisher
- BMJ
- Published
- 2008-10-21
- Volume
- 57
- Issue
- 11
- Pages
- 1605-1615
- ISSN
- 0017-5749 (ISSN-L)
- 1468-3288
- OpenAlex
- W2165003751
- Cited by
- 673
- References
- 14
- FWCI
- 17.74
- Type
- journal article
- Language
- en
- Open access
- green
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