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Enregistrement W7066228014

Identification of taxa-specific responses to bioremediation treatments in hydrocarbon-contaminated Arctic soils

2013· dissertation· en· W7066228014 sur OpenAlex

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fundUn bailleur canadien est enregistré sur le travail.
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Notice bibliographique

RevueeScholarship@McGill (McGill) · 2013
Typedissertation
Langueen
DomaineEngineering
ThématiqueOptical Polarization and Ellipsometry
Établissements canadiensnon disponible
Organismes subventionnairesNatural Resources CanadaInternational Arctic Science CommitteeNatural Sciences and Engineering Research Council of CanadaMcGill University
Mots-clésAlphaproteobacteriaStable-isotope probingBioremediationSoil waterAlkBMicrobial population biologyArcticNutrientBiostimulation
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

A warming climate and improved technology have allowed northern countries to more thoroughly explore and exploit Arctic resources. This increased activity has led to an elevated risk of petroleum contamination, and consequently, there is a need to develop strategies to effectively and efficiently degrade these contaminants on site. While many Arctic soil microorganisms are known to naturally metabolize petroleum hydrocarbons in contaminated sites, a process known as bioremediation, treatments directed at stimulating the hydrocarbon-degrading activity of these microbes (e.g. nutrient amendments) have varied in effectiveness.The objective of this study was to determine whether microbial taxa respond equally to disturbances of the soil environment by hydrocarbon contaminants and nutrient amendments, and whether the most efficient hydrocarbon degraders are naturally stimulated. To determine whether the bacteria inhabiting contaminated Arctic soils assimilate added nitrogen equally, a novel 15N-stable isotope probing approach was developed. After a month of in situ incubation, it was determined that many hydrocarbon-degrading bacteria had incorporated the added nitrogen, but to varying extents. The Alphaproteobacteria most effectively used the added nitrogen, as determined by both 16S rRNA and alkB gene enrichment, and this was noteworthy given that they were not expected to be the most effective hydrocarbon-degrading group.To assess whether the relative abundance of bacterial taxa in hydrocarbon-contaminated soils was determined by soil characteristics as opposed to hydrocarbon-degrading ability, 18 soils from across the Arctic were collected and treated with diesel and monoammonium phosphate. Bacterial diversity and community composition were determined through 16S rRNA gene sequencing on the Ion Torrent platform, while hydrocarbon degradation was measured using gas chromatography. It was found that Actinobacteria dominated soils with low organic matter, while Proteobacteria dominated those with high organic matter. In addition, the extent of bacterial diversity and the relative abundance of specific assemblages of Betaproteobacteria in uncontaminated soils were predictive of hydrocarbon degradation with and without nutrient amendments, respectively. Relative abundance of Betaproteobacteria was associated with efficient hydrocarbon degradation in the presence of added nutrients, suggesting that this may be an important group to target.Finally, to determine whether modifying the microbial community within a given soil would impact rates of hydrocarbon degradation, gentamicin and vancomycin were used to inhibit specific portions of the bacterial community. Bacterial 16S rRNA gene diversity and community composition were again determined using the Ion Torrent platform, qPCR was used to quantify bacterial and fungal populations within each treatment, and GC analysis was used to determine hydrocarbon degradation. Bacterial 16S rRNA gene abundance declined in soils treated with gentamicin, but diesel degradation was highest in the presence of both gentamicin and vancomycin. Bacterial community composition shifted under all treatments, and Xanthomonadaceae (Gammaproteobacteria) and Micrococcaceae (Actinobacteria) dominated soils treated with both antibiotics. Diesel degradation was much less effective when nutrients were also added to soils treated with gentamicin and vancomycin, possibly due to competition from a larger fungal population.Overall, these results suggest that more effective in situ treatments of hydrocarbon-contaminated Arctic soils are possible through selective targeting of efficient hydrocarbon-degrading consortia. Future research should aim to understand which soil microorganisms most quickly degrade various contaminants in situ, as well as the main biotic and abiotic factors that limit their activity.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,104
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,228
Écart entre enseignants0,216 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle