DIVERSITY AND ABUNDANCE OF FLEAS ON RICHARDSON’S GROUND SQUIRRELS AND IN THEIR BURROWS, AND THE BACTERIA WITHIN THE MICROBIOMES OF THESE FLEAS
Notice bibliographique
Résumé
The diversity and abundance of parasites among a host population varies across time and space. Parasites are restricted in an ecosystem by the range of hosts they infest (= the degree of host specificity), by the interactions with other parasites, environmental conditions, and the fitness of the host they parasitize. Some parasites are vectors of pathogens that affect wildlife, domestic animals and/or humans. For example, Yersinia pestis, the causative agent of plague, is transmitted from infected animals to susceptible animals by a variety of flea species. Black-tailed prairie dogs (Cynomys ludovicianus), a threatened species in North America, are highly susceptible to Y. pestis infection. They share multiple species of flea that are vectors of Y. pestis with Richardson's ground squirrels (Urocitellus richardsonii) and they co-exist in Grasslands National Park in southern Saskatchewan, Canada. Although work has been conducted previously on flea communities associated with black-tailed prairie dogs, little research has been conducted on fleas of U. richardsonii, particularly for populations located in their northern parts of the distributional range. Knowledge of the diversity and abundance of fleas parasitizing U. richardsonii and of the bacteria in flea microbiomes is imperative for understanding the risk and disease transmission to U. richardsonii and C. ludovicianus. In this thesis, I investigate the bacterial communities of the different flea species parasitizing Richardson's ground squirrels and assess if ecological concepts (e.g. host specificity, community structure) that apply to parasites on hosts can be applied to the bacterial of these fleas. The first objective was to determine the species of fleas using genetic markers because of the difficulties distinguishing among species based on morphological characters. Also, this approach eliminated the need to chemical clear the internal structures and bloodmeal, permitting molecular-based studies of the fleas and their microbiomes. I assessed the suitability of five molecular targets, the nuclear 18S ribosomal RNA (rRNA) and 28S rRNA genes, the nuclear internal transcribed spacer 2 (ITS2), and the mitochondrial cytochrome oxidase c subunit 1 and 2 genes (cox1 and cox2), to identify eleven flea species parasitizing Richardson's ground squirrels. The ITS2 and 28S rRNA gene were the best genetic markers for species identification, while cox2 was more useful for studying the population genetics of fleas. The second objective was to investigate the community structure of fleas on U. richardsonii in Alberta and Saskatchewan. The dominant species on U. richardsonii near Lethbridge (Alberta) was Oropsylla rupestris, while O. tuberculata was the most abundant species on U. richardsonii near Moose Jaw (Saskatchewan). The sex and length of the host species as well as the month of collection were factors that significantly influenced the prevalence and abundance of fleas parasitizing Richardson's ground squirrels. Differences were also detected in the diversity and relative abundance of fleas in the burrows of U. richardsonii at a rural site (near Bradwell) and an urban site (Saskatoon). The most prominent species in the urban site was O. rupestris, while O. bruneri was the most prominent species at the rural site. Seasonal patterns of activity were observed with flea species peaking during different months. I also investigated the prevalence and abundance of Bartonella, Rickettsia, and Wolbachia in the bacterial communities of nine species of fleas from the burrows of Richardson's ground squirrels in Saskatchewan. I found that the bacterial load of these samples and the prevalence of key bacterial species (e.g., Bartonella, Rickettsia, and Wolbachia) was very low based on qPCR analysis. A conventional PCR approach was taken to determine the diversity and abundance of Bartonella, Rickettsia, and Wolbachia in these samples. Distinct strains of Wolbachia were detected in different species of flea species and multiple strains of Bartonella washoensis were detected in O. bruneri. Three species of Oropsylla and Neopsylla inopina contained a Rickettsia-like endosymbiont which have not been previously reported in fleas. Further investigation is required into the role and frequency of Wolbachia and Rickettsia-like endosymbiont in fleas. These findings provide insight into the diversity of fleas on Richardson's ground squirrels at their northern distribution and a framework for investigating the bacterial communities of these fleas.
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 | 0,000 |
| 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) | 0,002 | 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 ».