Assessment of antimicrobial resistance in marine environments of Prince Edward Island using a selected bacterial group
Notice bibliographique
Résumé
Antimicrobial resistance (AMR) in the aquatic environment is a common concern associated with urban, industrial and farm effluents. Naturally resistant bacteria have also been reported from environments without anthropogenic influence. Different approaches have been done to evaluate AMR in marine environments mostly assessing the frequency of resistance (FR) of a wide variety of heterotrophic bacteria. The study of a particular group of bacteria and the understanding of the different factors that influence AMR in marine environments would contribute in developing a more accurate method of assessment. The main objective of this thesis was to select a bacterium or a specific group of bacteria able to be used for assessing the level of AMR in different marine environments. Bacterial flora from 18 duplicated samples of sediments and pooled mussels from 3 different marine sites of Prince Edward Island, obtained during 2 seasons, were prescreened in the selective media Thiosulphate Citrate Bile Sucrose (TCBS) containing 50 μg/mL oxytetracycline (OTC) and FRs were obtained. Screened bacteria were identified by means of 3 different methods: conventional, automated (Biolog®) and analysis of 16S rDNA sequence similarity. Finally, the susceptibility of selected bacteria to 19 antibiotics was assessed using disk diffusion tests and interpreted according to season and the bacterial genus. The FR values significantly varied with the site (P < 0.001), type of sample (P < 0.001) and season (P = 0.01). During the warm season, FR values were highest in sediments of the urban-influenced site (78.9%) and in mussels of the mussel-abundant site (68.1%). Anthropogenic pollution, in the former site, and mussel bacterial selection, in the latter site, are believed to influence the FR values. However, in general, cold temperatures appeared to select for OTC-resistant bacteria. From these results, the bacterial flora from sediments appears to be a more accurate indicator of the FR to OTC in marine environments. Complementary information gained from different methods allowed the identification of the bacterial isolates to level of genus in most cases. The genera Vibrio and Shewanella constituted the majority of the bacterial flora from mussels and sediments, respectively, in which V. splendidus appeared to be common at all sites. More than 90% of all isolates showed non susceptibility to streptomycin. Almost 45% of the isolates had intermediate susceptibility to erythromycin, whereas up to 25% of the isolates showed non susceptibility to ampicillin, amoxicillin/clavulanic acid, carbenicillin, cephalothin, oxolinic acid, gentamicin and amikacin. All isolates were susceptible to cefotaxime, some fluoroquinolones, tetracyclines, potentiated sulfonamides, and phenicols. The percentage of non susceptible isolates to streptomycin was high and constant regardless of the season and bacterial genus in contrast to other antibiotics. Among Shewanella isolates, higher percentages of non susceptibility were mostly observed in those recovered during the warm season whereas among Vibrio isolates the percentages of non susceptible isolates were similar in both seasons and generally higher than for Shewanella isolates. Vibrio isolates were more frequently non susceptible to multiple antibiotics than Shewanella isolates. The susceptibility of all the isolates to the tetracyclines suggests that although 50 μg/mL OTC exerted some degree of selectivity in TCBS the selected flora has only a low level resistance. The E test showed that the activity of OTC is significantly decreased in TCBS in comparison to Mueller-Hinton agar 1.5% NaCl and that Shewanella tolerates higher concentrations of OTC than Vibrio isolates in both media but more efficiently in TCBS.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».