The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Coupling 16S‐ITS rDNA clone libraries and automated ribosomal intergenic spacer analysis to show marine microbial diversity: development and application to a time series
Abstract
Summary: We outline an approach to simultaneously assess multilevel microbial diversity patterns utilizing 16S‐ITS rDNA clone libraries coupled with automated ribosomal intergenic spacer analysis (ARISA). Sequence data from 512 clones allowed estimation of ARISA fragment lengths associated with bacteria in a coastal marine environment. We matched 92% of ARISA peaks (each comprising > 1% total amplified product) with corresponding lengths from clone libraries. These peaks with putative identification accounted for an average of 83% of total amplified community DNA. At 16S rDNA similarities < 98%, most taxa displayed differences in ARISA fragment lengths > 10 bp, readily detectable and suggesting ARISA resolution is near the ‘species’ level. Prochlorococcus abundance profiles from ARISA were strongly correlated ( r 2 = 0.86) to Prochlorococcus cell counts, indicating ARISA data are roughly proportional to actual cell abundance within a defined taxon. Analysis of ARISA profiles for 42 months elucidated patterns of microbial presence and abundance providing insights into community shifts and ecological niches for specific organisms, including a coupling of ecological patterns for taxa within the Prochlorococcus , the Gamma Proteobacteria and Actinobacteria. Clade‐specific ARISA protocols were developed for the SAR11 and marine cyanobacteria to resolve ambiguous identifications and to perform focused studies. 16S‐ITS data allowed high‐resolution identification of organisms by ITS sequence analysis, and examination of microdiversity.
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Muyzer, G., de Waal, E. C., & Uitterlinden, A. G. (1993) · Applied and Environmental Microbiology · doi:10.1128/aem.59.3.695-700.1993 · Cited by 11,429
Phylogenetic identification and in situ detection of individual microbial cells without cultivation
Amann, R., Ludwig, W., & SCHLEIFER, K. H. (1995) · Microbiological Reviews · doi:10.1128/mmbr.59.1.143-169.1995 · Cited by 9,093
Lane, D. (1991) · Medical Entomology and Zoology · Cited by 8,187
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
Staley, J. T., & Konopka, A. (1985) · Annual Review of Microbiology · doi:10.1146/annurev.mi.39.100185.001541 · Cited by 1,570
Bacterial Rhodopsin: Evidence for a New Type of Phototrophy in the Sea
Béjà, O., Aravind, L., Koonin, E. V., Suzuki, M. T., Hadd, A., Nguyen, L. P., Jovanovich, S. B., Gates, C. M., Feldman, R. A., Spudich, J. L., et al. (2000) · Science · doi:10.1126/science.289.5486.1902 · Cited by 1,532
Prochlorococcus , a Marine Photosynthetic Prokaryote of Global Significance
Partensky, F., Hess, W. R., & Vaulot, D. (1999) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.63.1.106-127.1999 · Cited by 1,356
Genome divergence in two Prochlorococcus ecotypes reflects oceanic niche differentiation
Rocap, G., Larimer, F. W., Lamerdin, J., Malfatti, S., Chain, P., Ahlgren, N. A., Arellano, A., Coleman, M., Hauser, L., Hess, W. R., et al. (2003) · Nature · doi:10.1038/nature01947 · Cited by 1,204
rRNA Operon Copy Number Reflects Ecological Strategies of Bacteria
Klappenbach, J. A., Dunbar, J. M., & Schmidt, T. M. (2000) · Applied and Environmental Microbiology · doi:10.1128/aem.66.4.1328-1333.2000 · Cited by 1,133
Cited by
Microbial community structure and its functional implications
Fuhrman, J. A. (2009) · Nature · doi:10.1038/nature08058 · Cited by 1,382
Self-citationA latitudinal diversity gradient in planktonic marine bacteria
Fuhrman, J. A., Steele, J. A., Hewson, I., Schwalbach, M. S., Brown, M. V., Green, J. L., & Brown, J. H. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0803070105 · Cited by 732
Self-citationExplaining Microbial Population Genomics through Phage Predation
Rodriguez-Valera, F., Martin-Cuadrado, A.-B., Rodriguez-Brito, B., Pašić, L., Thingstad, T. F., Rohwer, F., & Mira, A. (2009) · Nature Reviews Microbiology · doi:10.1038/nrmicro2235 · Cited by 663
Global patterns of diversity and community structure in marine bacterioplankton
POMMIER, T., CANBÄCK, B., RIEMANN, L., BOSTRÖM, K. H., SIMU, K., LUNDBERG, P., TUNLID, A., & HAGSTRÖM, Å. (2007) · Molecular Ecology · doi:10.1111/j.1365-294x.2006.03189.x · Cited by 466
Ruan, Q., Dutta, D., Schwalbach, M. S., Steele, J. A., Fuhrman, J. A., & Sun, F. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl417 · Cited by 294
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Metadata
- Authors
- Brown, M. V., Schwalbach, M. S., Hewson, I., & Fuhrman, J. A.
- Venue
- Environmental Microbiology
- Publisher
- Wiley
- Published
- 2005-07-15
- Volume
- 7
- Issue
- 9
- Pages
- 1466-1479
- ISSN
- 1462-2912 (ISSN-L)
- 1462-2920
- OpenAlex
- W2075270138
- Cited by
- 255
- References
- 36
- FWCI
- 18.98
- Type
- journal article
- Language
- en
- Open access
- closed
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