Structure génétique et taux de dispersion d'un parasite, Tracheliastes polycolpus, et de son hôte, la vandoise (Leuciscus leuciscus) : implications pour l'adaptation locale
Bibliographic record
Abstract
Comparing the genetic structures of a parasite and its host makes it possible to determine their relative rates of dispersal, which provides important information for predicting local adaptation patterns. Here we are interested in the coevolution between an ectoparasite, Tracheliastes polycolpus, and its host, the gannet (Leuciscus leuciscus). We combined an approach based on a priori definition of populations with an approach based on a posteriori identification of genetic groups. We have shown that the host has a strong capacity for aquatic migration and that its genetic structure conforms to the Hierarchical River Model. On the other hand, we assume that the genetic structure of T. polycolpus results from the circumstances of its introduction. We have shown that L. leuciscus migrates slightly more than T. polycolpus within basins but that T. polycoplus migrates more by land due to the use of non-aquatic vectors. We expect a strong pattern of local adaptation of the parasite between catchments but a pattern of host adaptation or no local adaptation within catchments.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".