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Record W2739636127 · doi:10.11575/prism/24733

Aerobic Hydrocarbon-degrading Microbial Communities in Oilsands Tailings Ponds

2016· dissertation· en· W2739636127 on OpenAlexaboutno aff
Fauziah F. Rochman

Bibliographic record

VenuePRISM (University of Calgary) · 2016
Typedissertation
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTailingsHydrocarbonEnvironmental scienceEnvironmental chemistryEcologyEnvironmental engineeringChemistryBiology

Abstract

fetched live from OpenAlex

Oilsands process-affected water (OSPW), produced by the surface-mining oilsands industry in Alberta, Canada, is alkaline and contains salts, various metals, and hydrocarbon compounds. In this thesis, aerobic communities involved in several key biogeochemical processes in OSPW were studied. Degradation of several key hydrocarbons was analyzed in depth. Benzene and naphthalene were used as models for aromatic hydrocarbons, in which their oxidation rates, degrading communities, and degradation pathways in OSPW were researched. The potential oxidation rates were 36.7 μmol L-1 day-1 for benzene and 85.4 μmol L-1 day-1 for naphthalene. Via stable isotope probing (SIP), and high-throughput sequencing of 16S rRNA gene amplicons, it was discovered that strains of the genera Methyloversatilis and Zavarzinia were the main benzene degraders, while Thiococcus and Pseudomonas were the main naphthalene degraders. Cultivated strains of Zavarzinia and Pseudomonas were shown to be growing on benzene and naphthalene. Metagenomics analysis revealed genes encoding oxygenases active against aromatic compounds, as well as catechol oxidases. Although these belonged to many phylogenetically diverse bacteria, only few bacteria were predominant in the SIP experiments. A highly divergent pmoA-like gene was also detected in the metagenome data. Here, the possibility of this gene allowing growth on short alkanes (C1 to C3) was examined. This gene was investigated via SIP and quantitative PCR. Results showed that the monooxygenase encoded by the gene has high affinity toward ethane and mostly propane. For the study of lighter hydrocarbons, methane, ethane, and propane were chosen as model compounds. OSPW was capable of supporting methane oxidation with a rate of 108.2 μmol of CH4 L−1 OSPW d−1, ethane oxidation with a rate of 83.2 μmol of C2H6 L−1 OSPW d−1, and propane oxidation with a rate of 58.6 μmol of C3H8 L−1 OSPW d−1. SIP analysis uncovered Methyloparacoccus to be predominant in methane-incubated samples, whereas Methyloversatilis was predominant in ethane and propane-incubated samples. SIP technique was also employed to study photosynthetic bacterial communities and indigenous aerobic bacterial communities that assimilate methanol, acetate, and protein extracts. All OSPW photosynthetic ‘heavy-DNA’ samples were dominated by unidentified Planctomycetes. Predominant groups in methanol, acetate, and protein extract-SIPs were Betaproteobacteria, Alphaproteobacteria, and Bacteroidetes. Finally, via a modified cultivation technique, a novel Verrucomicrobia was isolated from OSPW. The aerobic bacterium was named Oleiharenicola alkalitolerans gen. nov., sp. nov., and it was studied in depth via phylogenetic, chemotaxonomic and whole-genome sequencing techniques.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.189
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2016
Admission routes1
Has abstractyes

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