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Steven D. Siciliano

Researcher at University of Saskatchewan

Publications -  232
Citations -  13569

Steven D. Siciliano is an academic researcher from University of Saskatchewan. The author has contributed to research in topics: Soil water & Ecosystem. The author has an hindex of 57, co-authored 217 publications receiving 11978 citations. Previous affiliations of Steven D. Siciliano include Geological Survey of Canada & National Research Council.

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Biofuel Cells Select for Microbial Consortia That Self-Mediate Electron Transfer

TL;DR: Enrichment by repeated transfer of a bacterial consortium harvested from the anode compartment of a biofuel cell in which glucose was used increased the output and selected organisms capable of mediating the electron transfer either by direct bacterial transfer or by excretion of redox components.
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A microbial fuel cell capable of converting glucose to electricity at high rate and efficiency.

TL;DR: This research indicates that microbial electricity generation offers perspectives for optimization in relation to glucose dosage and five fold higher power output than reported thus far.
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Microbes as engines of ecosystem function: When does community structure enhance predictions of ecosystem processes?

Emily B. Graham, +52 more
TL;DR: In this article, a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets is presented.
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Strain-Specific Ureolytic Microbial Calcium Carbonate Precipitation

TL;DR: It is shown that strain-specific calcification occurred during ureolytic microbial carbonate precipitation, mainly due to differences in urease expression and the response to calcium.
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Detection and quantification of the human‐specific HF183 Bacteroides 16S rRNA genetic marker with real‐time PCR for assessment of human faecal pollution in freshwater

TL;DR: A real-time polymerase chain reaction (PCR) assay using SYBR Green I detection to quantify the prevalence of the human-specific HF183 Bacteriodes 16S rRNA genetic marker in faecal and environmental samples and was more sensitive than conventional PCR and highly reproducible.