The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Metagenomics: Genomic Analysis of Microbial Communities
Abstract
▪ Abstract Uncultured microorganisms comprise the majority of the planet's biological diversity. Microorganisms represent two of the three domains of life and contain vast diversity that is the product of an estimated 3.8 billion years of evolution. In many environments, as many as 99% of the microorganisms cannot be cultured by standard techniques, and the uncultured fraction includes diverse organisms that are only distantly related to the cultured ones. Therefore, culture-independent methods are essential to understand the genetic diversity, population structure, and ecological roles of the majority of microorganisms. Metagenomics, or the culture-independent genomic analysis of an assemblage of microorganisms, has potential to answer fundamental questions in microbial ecology. This review describes progress toward understanding the biology of uncultured Bacteria, Archaea, and viruses through metagenomic analyses.
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Cites
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
Community structure and metabolism through reconstruction of microbial genomes from the environment
Tyson, G. W., Chapman, J., Hugenholtz, P., Allen, E. E., Ram, R. J., Richardson, P. M., Solovyev, V. V., Rubin, E. M., Rokhsar, D. S., & Banfield, J. F. (2004) · Nature · doi:10.1038/nature02340 · Cited by 2,417
Zengler, K., Toledo, G., Rappé, M., Elkins, J., Mathur, E. J., Short, J. M., & Keller, M. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.252630999 · Cited by 796
Wolf, Y. I., Aravind, L., Grishin, N. V., & Koonin, E. V. (1999) · Genome Research · doi:10.1101/gr.9.8.689 · Cited by 410
Phylogenetic analysis of ribosomal RNA operons from uncultivated coastal marine bacterioplankton
Suzuki, M. T., Béjà, O., Taylor, L. T., & DeLong, E. F. (2001) · Environmental Microbiology · doi:10.1046/j.1462-2920.2001.00198.x · Cited by 167
Cited by
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
Davis, N. M., Proctor, D. M., Holmes, S. P., Relman, D. A., & Callahan, B. J. (2018) · Microbiome · doi:10.1186/s40168-018-0605-2 · Cited by 3,493
Bracken: estimating species abundance in metagenomics data
(2016) · doi:10.7717/peerj-cs.104 · Cited by 2,333
Fast and sensitive taxonomic classification for metagenomics with Kaiju
Menzel, P., Ng, K. L., & Krogh, A. (2016) · Nature Communications · doi:10.1038/ncomms11257 · Cited by 2,118
Towards next-generation biodiversity assessment using DNA metabarcoding
TABERLET, P., COISSAC, E., POMPANON, F., BROCHMANN, C., & WILLERSLEV, E. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05470.x · Cited by 1,907
Metadata
- Authors
- Riesenfeld, C. S., Schloss, P. D., & Handelsman, J.
- Venue
- Annual Review of Genetics
- Publisher
- Annual Reviews
- Published
- 2004-12-01
- Volume
- 38
- Issue
- 1
- Pages
- 525-552
- ISSN
- 0066-4197 (ISSN-L)
- 1545-2948
- OpenAlex
- W2115026474
- Cited by
- 1,129
- References
- 6
- FWCI
- 1.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- Riesenfeld, C. S., Schloss, P. D., & Handelsman, J. (2004). Metagenomics: Genomic Analysis of Microbial Communities. Annual Review of Genetics. https://doi.org/10.1146/annurev.genet.38.072902.091216
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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.