Habitat dependent associations between parasitism and fluctuating asymmetry among endemic stickleback populations
Bibliographic record
Abstract
Inconsistencies in the relationship between fluctuating asymmetry (FA) and fitness may be due to selection acting on the degree of trait asymmetry that differs among populations or among traits. We assessed relationships between parasite susceptibility and fluctuating asymmetry in the number of bony lateral plates among 83 populations of freshwater Gasterosteus aculeatus (three spined stickleback) and among lateral plate positions that vary in the selection they experience for symmetry. The correlation between FA and parasite infection was highly variable among samples. Excess of infected asymmetric G. aculeatus increased significantly as the robustness of structural predator defences decreased. This effect was found for one parasite species only (Eustrongylides sp.) and was slightly stronger in females. In addition, there was a trend for there to be an excess of infected females asymmetric in those lateral plates positions that did not experience selection for their symmetry, although the trend only approached significance. These results suggest that selection for trait symmetry can obscure relationships between fitness and individual-wide developmental stability, providing one possible explanation for some of the heterogeneity in FA/fitness relationships seen in the literature. These results are also consistent with previous reports showing that ecological segregation between symmetric and asymmetric G. aculeatus and between sexes can alter the FA/fitness relationship.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".