The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Identification of active denitrifiers in full‐scale nutrient removal wastewater treatment systems
Abstract
Summary: Denitrification is essential to the removal of nitrogen from wastewater during treatment, yet an understanding of the diversity of the active denitrifying bacteria responsible in full‐scale wastewater treatment plants ( WWTPs ) is lacking. In this study, stable‐isotope probing ( SIP ) was applied in combination with microautoradiography ( MAR )‐fluorescence in situ hybridization ( FISH ) to identify previously unrecognized active denitrifying phylotypes in a full‐scale WWTP with biological N and P removal. Acknowledging that different denitrifiers will have specific carbon source preferences, a fully 13 C ‐labelled complex substrate was used for SIP incubations, under nitrite‐reducing conditions, in order to maximize the capture of the potentially metabolically diverse denitrifiers likely present. Members of the R hodoferax, D echloromonas , S ulfuritalea, H aliangium and T hermomonas were represented in the 16 S rRNA gene clone libraries from DNA enriched in 13 C , with FISH probes optimized here for their in situ characterization. FISH and MAR confirmed that they were all active denitrifiers in the community. The combined approach of SIP and MAR‐FISH represents an excellent approach for identifying and characterizing an un‐described diversity of active denitrifiers in full‐scale systems.
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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
ARB: a software environment for sequence data
Ludwig, W. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh293 · Cited by 6,702
Pruesse, E., Quast, C., Knittel, K., Fuchs, B. M., Ludwig, W., Peplies, J., & Glockner, F. O. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm864 · Cited by 6,668
The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
Cole, J. R., Wang, Q., Cardenas, E., Fish, J., Chai, B., Farris, R. J., Kulam-Syed-Mohideen, A. S., McGarrell, D. M., Marsh, T., Garrity, G. M., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn879 · Cited by 4,762
Amann, R. I., Binder, B. J., Olson, R. J., Chisholm, S. W., Devereux, R., & Stahl, D. A. (1990) · Applied and Environmental Microbiology · doi:10.1128/aem.56.6.1919-1925.1990 · Cited by 4,021
Cell biology and molecular basis of denitrification.
Zumft, W. G. (1997) · Microbiology and molecular biology reviews : MMBR · doi:10.1128/.61.4.533-616.1997 · Cited by 3,471
MICROBIAL STRESS-RESPONSE PHYSIOLOGY AND ITS IMPLICATIONS FOR ECOSYSTEM FUNCTION
Schimel, J., Balser, T. C., & Wallenstein, M. (2007) · Ecology · doi:10.1890/06-0219 · Cited by 3,045
Daims, H., Brühl, A., Amann, R., Schleifer, K.-H., & Wagner, M. (1999) · Systematic and Applied Microbiology · doi:10.1016/s0723-2020(99)80053-8 · Cited by 2,274
Manz, W., Amann, R., Ludwig, W., Wagner, M., & Schleifer, K.-H. (1992) · Systematic and Applied Microbiology · doi:10.1016/s0723-2020(11)80121-9 · Cited by 2,043
Wallner, G., Amann, R., & Beisker, W. (1993) · Cytometry · doi:10.1002/cyto.990140205 · Cited by 1,212
Metadata
- Authors
- McIlroy, S. J., Starnawska, A., Starnawski, P., Saunders, A. M., Nierychlo, M., Nielsen, P. H., & Nielsen, J. L.
- Venue
- Environmental Microbiology
- Publisher
- Wiley
- Published
- 2014-10-22
- Volume
- 18
- Issue
- 1
- Pages
- 50-64
- ISSN
- 1462-2912 (ISSN-L)
- 1462-2920
- OpenAlex
- W2128363846
- Cited by
- 294
- References
- 40
- FWCI
- 6.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- McIlroy, S. J., Starnawska, A., Starnawski, P., Saunders, A. M., Nierychlo, M., Nielsen, P. H., & Nielsen, J. L. (2016). Identification of active denitrifiers in full‐scale nutrient removal wastewater treatment systems. Environmental Microbiology. https://doi.org/10.1111/1462-2920.12614
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