The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Nitrite Reductase Genes ( nirK and nirS ) as Functional Markers To Investigate Diversity of Denitrifying Bacteria in Pacific Northwest Marine Sediment Communities
Open accessAbstract
Genetic heterogeneity of denitrifying bacteria in sediment samples from Puget Sound and two sites on the Washington continental margin was studied by PCR approaches amplifying nirK and nirS genes. These structurally different but functionally equivalent single-copy genes coding for nitrite reductases, a key enzyme of the denitrification process, were used as a molecular marker for denitrifying bacteria. nirS sequences could be amplified from samples of both sampling sites, whereas nirK sequences were detected only in samples from the Washington margin. To assess the underlying nir gene structure, PCR products of both genes were cloned and screened by restriction fragment length polymorphism (RFLP). Rarefraction analysis revealed a high level of diversity especially for nirS clones from Puget Sound and a slightly lower level of diversity for nirK and nirS clones from the Washington margin. One group dominated within nirK clones, but no dominance and only a few redundant clones were seen between sediment samples for nirS clones in both habitats. Hybridization and sequencing confirmed that all but one of the 228 putative nirS clones were nirS with levels of nucleotide identities as low as 45.3%. Phylogenetic analysis grouped nirS clones into three distinct subclusters within the nirS gene tree which corresponded to the two habitats from which they were obtained. These sequences had little relationship to any strain with known nirS sequences or to isolates (mostly close relatives of Pseudomonas stutzeri ) from the Washington margin sediment samples. nirK clones were more closely related to each other than were the nirS clones, with 78.6% and higher nucleotide identities; clones showing only weak hybridization signals were not related to known nirK sequences. All nirK clones were also grouped into a distinct cluster which could not be placed with any strain with known nirK sequences. These findings show a very high diversity of nir sequences within small samples and that these novel nir clusters, some very divergent from known sequences, are not known in cultivated denitrifiers.
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Cites
Detection of specific sequences among DNA fragments separated by gel electrophoresis
Southern, E. M. (1975) · Journal of Molecular Biology · doi:10.1016/s0022-2836(75)80083-0 · Cited by 32,249
MESBAH, M., PREMACHANDRAN, U., & WHITMAN, W. B. (1989) · International Journal of Systematic Bacteriology · doi:10.1099/00207713-39-2-159 · Cited by 4,553
Rotthauwe, J. H., Witzel, K. P., & Liesack, W. (1997) · Applied and Environmental Microbiology · doi:10.1128/aem.63.12.4704-4712.1997 · Cited by 2,873
PHYLOGENIES FROM MOLECULAR SEQUENCES: INFERENCE AND RELIABILITY
Felsenstein, J. (1988) · Annual Review of Genetics · doi:10.1146/annurev.ge.22.120188.002513 · Cited by 2,128
Bias caused by template annealing in the amplification of mixtures of 16S rRNA genes by PCR
Suzuki, M. T., & Giovannoni, S. J. (1996) · Applied and Environmental Microbiology · doi:10.1128/aem.62.2.625-630.1996 · Cited by 1,881
Soil microorganisms as controllers of atmospheric trace gases (H2, CO, CH4, OCS, N2O, and NO)
Conrad, R. (1996) · Microbiological Reviews · doi:10.1128/mmbr.60.4.609-640.1996 · Cited by 1,751
Molecular Microbial Ecology Manual
(1996) · Springer eBooks · doi:10.1007/978-94-009-0215-2 · Cited by 1,687
Schibler, U., Wyler, T., & Hagenbüchle, O. (1975) · Journal of Molecular Biology · doi:10.1016/0022-2836(75)90217-x · Cited by 1,188
Braker, G., Fesefeldt, A., & Witzel, K.-P. (1998) · Applied and Environmental Microbiology · doi:10.1128/aem.64.10.3769-3775.1998 · Cited by 859
Self-citationBerks, B. C., Ferguson, S. J., Moir, J. W. B., & Richardson, D. J. (1995) · Biochimica et Biophysica Acta (BBA) - Bioenergetics · doi:10.1016/0005-2728(95)00092-5 · Cited by 596
Cited by
Lipsewers, Y. A., Hopmans, E. C., Meysman, F. J. R., Sinninghe Damsté, J. S., & Villanueva, L. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01661 · Cited by 937
METHODS FOR MEASURING DENITRIFICATION: DIVERSE APPROACHES TO A DIFFICULT PROBLEM
Groffman, P. M., Altabet, M. A., Böhlke, J. K., Butterbach-Bahl, K., David, M. B., Firestone, M. K., Giblin, A. E., Kana, T. M., Nielsen, L. P., & Voytek, M. A. (2006) · Ecological Applications · doi:10.1890/1051-0761(2006)016[2091:mfmdda]2.0.co;2 · Cited by 936
Quantification of denitrifying bacteria in soils by nirK gene targeted real-time PCR
Henry, S., Baudoin, E., López-Gutiérrez, J. C., Martin-Laurent, F., Brauman, A., & Philippot, L. (2004) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2004.07.002 · Cited by 698
Saggar, S., Jha, N., Deslippe, J., Bolan, N. S., Luo, J., Giltrap, D. L., Kim, D.-G., Zaman, M., & Tillman, R. W. (2013) · Science of The Total Environment · doi:10.1016/j.scitotenv.2012.11.050 · Cited by 543
Wallenstein, M. D., Myrold, D. D., Firestone, M., & Voytek, M. (2006) · Ecological Applications · doi:10.1890/1051-0761(2006)016[2143:ecodca]2.0.co;2 · Cited by 532
Metadata
- Authors
- Braker, G., Zhou, J., Wu, L., Devol, A. H., & Tiedje, J. M.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2000-05
- Volume
- 66
- Issue
- 5
- Pages
- 2096-2104
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W2096710218
- Cited by
- 554
- References
- 29
- FWCI
- 19.45
- Type
- journal article
- Language
- en
- Open access
- green
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- Braker, G., Zhou, J., Wu, L., Devol, A. H., & Tiedje, J. M. (2000). Nitrite Reductase Genes ( nirK and nirS ) as Functional Markers To Investigate Diversity of Denitrifying Bacteria in Pacific Northwest Marine Sediment Communities. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.66.5.2096-2104.2000
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