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TRICHINELLA SPECIES AND TOXOPLASMA GONDII IN WOLVERINE (GULO GULO) FROM NORTHWESTERN CANADA

2019· dissertation· en· W2938086774 sur OpenAlexfundaboutno aff
Rajnish Sharma

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineImmunology and Microbiology
ThématiqueToxoplasma gondii Research Studies
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésToxoplasma gondiiTrichinellaBiologyGeographyZoologyHelminthsImmunology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Trichinella spp. and Toxoplasma gondii are important foodborne parasites world-wide, and are especially important in wildlife harvested for food and fur in Canada. Due to their top position in the food web as well as their scavenging behavior, large carnivores such as wolverines may be more exposed to these parasites through foodborne routes. Limited information is available on these parasites in wildlife from northwestern Canada, and such information is critical to control and prevent infections in animals and people. To conduct surveillance studies, the first and foremost step is to select samples suitable for detection of the parasites. I first compared tongues and diaphragms of wolverine harvested for fur for the detection of Trichinella species (Chapter 2), and found tongue could act as a better sampling site; therefore, further epidemiological studies on Trichinella used tongue tissues (Chapter 3). Using a double separatory funnel digestion method, we found larvae of Trichinella in the tongue of 78% (95% CI = 73–82) of 338 wolverine from the Yukon Territory. The mean intensity of infection was 22.6 ± 39 (SD, range 0.1–295) larvae per gram of muscle tissue. Species or genotypes of Trichinella circulating in the wildlife of the Yukon are not known. Using multiplex PCR, Trichinella T6 was revealed as the predominant genotype (76%), followed by T. nativa (8%); mixed infections with Trichinella T6 and T. nativa (12%) were observed. While confirming multiplex genotyping by DNA sequencing, I unexpectedly discovered a previously undescribed species of Trichinella in a wolverine from the Canadian North that appeared identical to T. nativa in multiplex PCR. Therefore, I investigated the phylogeny, geography and host range of this undescribed species in Chapter 4. My findings showed that this unknown species of Trichinella, to be designated initially as the T13 genotype, is in fact ancient, and putative sister of the lineages including T. patagoniensis and the remaining species [(sister-clade (T1 + T7) and sister-clade (T2, T6, T3, T8, T5, T9)] of the encapsulated group. A deep divergence for T13 indicates it is the oldest endemic lineage in North America and comparative historical biogeographic studies are necessary to resolve a history of distribution and evolution at high latitudes. Based on my field survey, T13 has only been found in wolverines, and further studies are required to understand the limits of geographic distribution and host range in North America. Overall, wolverines have a high prevalence, intensity, and diversity of Trichinella spp. This work demonstrated that wolverine can host at least 5 species of Trichinella (Trichinella T6, T. nativa, the new species – T13, T. pseudospiralis, and T. spiralis). To find out the suitable sampling sites for detecting T. gondii in wolverines, I used magnetic capture-qPCR to compare tissue prevalence and intensity of DNA of T. gondii in heart and brain (known predilection sites in other species) (Chapter 5). Tissue prevalence (16 positives) and infection intensity (1221 TEG) was higher in heart compared to brain (10 positives, 347 TEG); thus, heart was selected for the next objective (Chapter 6). I also showed that heart fluid (HF) and filter paper eluates (FE) of chest fluid performed equally well in Enzyme Linked Immunosorbent Assay (ELISA) and Indirect Fluorescent Antibody test (IFAT), and HF performed better with modified agglutination test (MAT). IFAT and ELISA had higher sensitivity, specificity, and accuracy compared to MAT (Chapter 5). I used this information to fulfill the next knowledge gap; lack of information on the status of T. gondii in the wildlife of northwestern Canada. I used an ELISA to determine the prevalence of antibodies, and a sequence-specific magnetic capture DNA extraction and real-time PCR (MC-qPCR) to detect DNA of T. gondii in wolverines in the Yukon. Antibodies to T. gondii were detected in 27.5% (95% CI 23.0-32.5%) of 338 heart fluid samples. Eighty-one wolverines were positive on both ELISA and MC-qPCR. Strong correlation between the results of ELISA and MC-qPCR was observed. Overall, prevalence of T. gondii in wolverines in the Yukon was lower than that reported in this species elsewhere in northern Canada, which corresponds with lower seroprevalence in people in the western vs central and eastern North American Arctic. Due to their scavenging habits, apex position in the food chain and wide home range, wolverine hosted high prevalence, high larval intensity, and multiple species of Trichinella, and also showed moderate prevalence and intensity of T. gondii infections. Therefore, wolverine should be considered as a sentinel species for surveys for Trichinella spp. and T. gondii across their distributional range, and as potential indicators of human risk of exposure through foodborne routes.

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)0,000
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 enseignants0,044
Score d'incertitude au seuil0,089

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,000
Communication savante0,0010,000
Science ouverte0,0000,000
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 Opus0,008
Tête enseignante GPT0,223
Écart entre enseignants0,215 · 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

Citations1
Publié2019
Routes d'admission2
Résumé présentoui

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