Explaining Interspecific Variation in Susceptibility and Resistance to Parasitism in Damselflies
Notice bibliographique
Résumé
Parasites are often overlooked in evolutionary and community ecology studies.The interactions between hosts and their parasites can have important implications on community structure.Past research has focused on species-specific characteristics of parasites to explain why different, but phylogenetically closely related host species, are under different selection regimes imposed by parasites.However, the evolutionary ecology of hosts is also expected to have important influence in their associations with parasite species.This thesis explores host factors principally that are expected to influence host susceptibility and resistance, in damselflies parasitized internally by gregarines and externally by water mites.There was often considerable interspecific variation in parasitism.When comparing species grouped into sibling species pairs, gregarine parasitism was explained in part by geographic range size of host species, but in most of the cases where there was difference in parasitism between the two closely related host species, it was the host species with the smaller range that had higher levels of parasitism.A similar pattern was observed in Arrenurus water mites parasitizing the same host species, grouped into species pairs.Additionally, Arrenurus species richness was more similar within species pairs than across species pairs meaning that more closely related hosts share similar Arrenurus fauna.At a higher taxonomic level where the host species were not grouped into species pairs, but where host phylogeny was controlled for through comparative methods, host phenology and geographic range size were better predictors of parasite host interactions than were other host characteristics such as host local abundance and host body size.The best predictor models demonstrated that host species most active in Preface Co-authorship Statement My contributions to the research described in this thesis were: (1) I proposed and developed the research questions in partnership with Dr. M. R. Forbes, and was primarily responsible for the design of the projects used to address these questions; (2) I was primarily responsible for carrying out all the lab work (e.g., dissections, phenoloxidase assays, mounting of larval Arrenurus) from the field work in 2010 at the Queen's University Biological Station (QUBS).I informally supervised a summer lab assistant (A.Morrill) who helped to process damselflies collected from QUBS in 2010.The molecular work, CO1 DNA barcoding of Arrenurus were carried out by Wayne Knee, Ag.Can (Chapters 3, 4), and at the Barcode Institute University of Guelph (Chapter 6); (3) I analysed all of the data; and (4) I wrote all first drafts of the chapters/manuscripts.I used the integrated thesis format and therefore each data chapter was formatted as an independent research article that has either been published in or was submitted to a peer-reviewed journal when this thesis was completed.There is some repetition in introductions and discussions; however I have cross-referenced between chapters to reduce repetition in the methods sections.As indicated above, I always played a major role in the design of the research and in the preparation and writing of each chapter/manuscript.However, I must acknowledge the constructive guidance and advice from my co-authors.My supervisor, Dr. M. R. Forbes contributed his theoretical, statistical and grammatical knowledge to each of my six chapter/manuscript drafts listed below.Dr. C. Hassall was a great asset in helping with the statistical analyses and v contributed grammatical expertise to the drafts of chapters/manuscripts one.Dr. W.Knee, as mentioned before, conducted the molecular barcoding and provided feedback to the drafts of chapters/manuscripts three, four and six.Dr. A. Iserbyt was a provided guidance on the phenoloxidase assay analysis and statistical and grammatical expertise on the drafts for chapter/manuscript five.Lastly, Dr. L.
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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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».