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Enregistrement W3005366153

Microbial communities of wastewater in the Canadian Arctic

2020· dissertation· en· W3005366153 sur OpenAlexaboutno aff
Monica Gromala

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2020
Typedissertation
Langueen
DomaineEarth and Planetary Sciences
ThématiqueClimate change and permafrost
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésArcticWastewaterEnvironmental scienceThe arcticGeographyEnvironmental engineeringOceanographyEcologyBiologyGeology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Wastewater management in the Canadian Arctic is challenging due to the extreme climate and lack of conventional treatment system infrastructure. To resolve these issues, most Northern communities use waste stabilization ponds (WSPs) as their sole form of wastewater management. In this type of system, wastewater is collected directly from buildings year-round and is transported to the WSP where it is discharged directly into the environment. For approximately nine months of the year, the wastewater remains frozen due to sub-zero temperatures. As the temperature increases in the spring, ice begins to melt, allowing the wastewater to thaw and flow into downstream lakes. Increased sunlight and increased water temperatures stimulate microorganisms to naturally breakdown the various components of the wastewater and reduce concentrations of macronutrients, such as nitrogen and phosphorus. The two to three months during which temperatures remain above zero are collectively referred to as the treatment season as the majority of aerobic and anaerobic degradation occurs during this time. Currently, the microbial communities of Arctic WSPs are not well understood. Identifying the major microorganisms in the microbial communities of these WSPs is important for understanding whether the wastewater treatment system is effective in the removal of wastewater contaminants from effluent water flowing into downstream lakes. This research aims to characterize the microbial community and identify wastewater indicator organisms of three Arctic WSPs in Baker Lake, Cambridge Bay, and Kugluktuk in Nunavut, Canada, with a focus on the Baker Lake WSP and the downstream lake system. In Baker Lake, wastewater is discharged into a lagoon, where water is able to flow into downstream lakes before ultimately discharging into Baker Lake. Several sites across this entire system, as well as three reference sites were sampled and analyzed to produce baseline taxonomic profiles. This was achieved through 16S rRNA gene and metagenome sequencing, and subsequent taxonomic assignment to 16S rRNA gene amplicons, metagenome sequences corresponding to the rpoB gene, and metagenome-assembled genomes (MAGs). Both temporal and spatial variation were observed across Baker Lake sampling sites, with clear differences in microbial community composition at samplings sites at the phylum, family, and ASV levels. These trends were observed in each of the 16S rRNA gene, rpoB gene, and MAG taxonomic assignments. Wastewater indicator species were identified for the Baker Lake WSP and these indicator microorganisms were not detected in most downstream sites. The three WSPs were also found to have very different microbial communities, with few overlapping ASVs. Despite these differences at the ASV level, the three WSPs contained common groups of microorganisms and microbial community profiles were distinct from Arctic freshwater lake samples. Most of the ASVs detected in all three WSPs belonged to the phylum Proteobacteria, which had a relative abundance of >50% in nearly all WSP samples. The proportion of Proteobacteria was much lower in lakes found downstream of the Baker Lake WSP. In receiving waters and reference lakes, Bacteroidetes, Actinobacteria, Planctomycetes, and Verrucomicrobia were more prevalent.Wastewater is known to be a hotspot for antibiotic resistance gene (ARG) dissemination and evolution. This thesis also aimed to identify and quantify ARGs within the WSPs, receiving waters, and reference lakes to determine if ARGs were enriched in samples containing wastewater. Eight gene families related to macrolide resistance, and one gene related to class A betalactamases were detected at higher abundance in wastewater samples than in downstream and reference lakes. Metagenome sequences related to these ARGs were also found to be in bins associated with five MAGs. This research is an important step in the characterization of microbial communities of wastewater in Arctic WSPs. The taxonomic profiles of the WSPs from Baker Lake, Cambridge Bay, and Kugluktuk provide important baseline data that will assist with monitoring of the wastewater system and gives insights into the efficacy of WSPs as the sole wastewater treatment system for communities in the Arctic. This research will aid in tracking changes in microbial communities as operational and infrastructure upgrades are made to the Baker Lake waste treatment system, to help with developing a safe and effective wastewater treatment system.

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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,023
Score d'incertitude au seuil0,104

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,005
Études des sciences et des technologies0,0050,001
Communication savante0,0020,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,025
Tête enseignante GPT0,191
Écart entre enseignants0,166 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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