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Estimating Sediment Denitrification Rates Using Cores and N2O Microsensors
Published on: December 6, 2018
Use of isotopic and molecular techniques to link toluene degradation in denitrifying aquifer microcosms to specific
O Pelz1, A Chatzinotas, N Andersen
1Fachbereich Bodenbiologie, Institut für Terrestrische Okologie, Eidgenössische Technische Hochschule (ETH), Schlieren, Switzerland.
Abstract:
Microcosms were inoculated with sediments from both a petroleum-hydrocarbon (PHC)-contaminated aquifer and from a nearby pristine aquifer and incubated under anoxic denitrifying conditions with [methyl-13C]toluene. These microcosms served as a laboratory model system to evaluate the combination of isotope (13C-labeling of polar-lipid-derived fatty acids) and molecular techniques (16S rRNA-targeting gene probes) to identify the toluene-metabolizing population. After total depletion of toluene, the following bacterial phospholipid fatty acids (PLFA) were 13C-enriched: 16:1omega7c, 16:1omega7t, 16:0, cy17:0, and 18:1omega7c. Pure culture experiments demonstrated that these compounds were also found in PLFA profiles of PHC-degrading Azoarcus spp. (beta-Proteobacteria) and related species. The origin of the CO2 evolved in the microcosms was determined by measurements of stable carbon isotope ratios. Toluene represented 11% of the total pool of mineralized substrates in the contaminated sediment and 54% in the pristine sediment. The microbial community in the microcosm incubations was characterized by using DAPI staining and whole-cell hybridization with specific fluorescently labeled 16S rRNA-targeted oligonucleotide probes. Results revealed that 6% of the DAPI-stained cells in the contaminated sediment and 32% in the pristine sediment were PHC-degrading Azoarcus spp. In biotic control microcosms (incubated under denitrifying conditions, no toluene added), Azoarcus spp. cells remained at less than 1% of the DAPI-stained cells. The results show that isotope analysis in combination with whole-cell hybridization is a promising approach to identify and to quantify denitrifying toluene degraders within microbial communities.
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