Did historical events shape current geographic variation in morph frequencies of a polymorphic damselfly?
Bibliographic record
Abstract
In several animal species, discrete, heritable phenotypic morphs occur in one sex only. This phenomenon is commonly observed in damselfly species where the coexistence of different female colour morphs is often explained in the context of sexual conflict. However, theories based on sexual conflict alone appear to be insufficient for explaining the inter-population variation in morph frequencies. A case in point is the widespread North American damselfly Nehalennia irene, in which one female morph occurs predominantly in populations in Western Canada, while another morph is more common in Eastern Canada. Given its large distribution range, historical events may be of particular relevance in explaining the observed spatial variation in morph frequencies in this species. In order to relate the distribution of female morph frequencies with the population genetic structure, we studied sequence variation in five mtDNA gene fragments. Moreover, we compared the population genetic structure of N. irene with its sister species Nehalennia gracilis, which lacks female polymorphism. Remarkably, our results indicate that the overall genetic variability is three times lower in N. irene than in N. gracilis, which might be related to the availability of the species' preferred habitat. Furthermore, haplotype and nucleotide diversity of N. irene differed considerably among sampled sites and appears to be related to the spatial distribution in female morph frequencies. In addition to previously studied selective agents, we suggest that the species' evolutionary history, such as random genetic drift during recolonization, may also be important in explaining the current geographical distribution of female morph frequencies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 teacher head, 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".