Molecular phylogenetic analysis of host use and biogeography within the genus Rhinusa and the related genus Gymnetron (Coleoptera : Curculionidae)
Bibliographic record
Abstract
Using a molecular phylogenetic approach, this thesis addresses questions surrounding the evolutionary history of endophagous parasitic weevils within the genera Rhinusa and Gymnetron (Coleoptera : Curculionidae), particularly the importance of their ecological interactions with their host plants as a major driver of diversification and shared evolutionary history.Using mitochondrial and nuclear DNA sequence data, phylogenetic analyses revealed that weevils within Rhinusa and Gymnetron exhibit phylogenetic conservatism in host use at the plant family level; however, shifts between closely related host-plants and in modes of parasitism have played an important role in the diversification of this group of weevils.Similarly, mitochondrial and nuclear DNA sequence data revealed that ecological specialization in weevils that feed, oviposit and develop within fruit capsules of particular host plant taxa can promote ecological divergence and lead to host-associated genetic differentiation, reproductive isolation, and ultimately speciation.The targeted PCR-amplification of short phylogenetically informative DNA sequences from archival samples allowed for the inference of the biogeographic origin of Rhinusa and Gymnetron, and also contributed toward the clarification of the challenging taxonomy of the group.Rhinusa and Gymnetron are not reciprocally monophyletic; they represent a complex of relatively young lineages which expanded from southern Africa into the Palaearctic during the late Miocene.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".