Untangling the contribution of adaptive <i>versus</i> non-adaptive processes in the evolution of reproductive isolation between <i>Coenonympha</i> butterflies
Bibliographic record
Abstract
ABSTRACT Speciation is a key evolutionary process which has been studied in numerous organisms and at multiple scales, from lineage radiation to gene expression. However, the factors explaining the rise of new species are not yet fully understood, and the relative contribution of neutral versus selective evolutionary processes in triggering and maintaining reproductive isolation between lineages is still debated. To explore this question, we study the divergence of two butterfly species, Coenonympha arcania and C. gardetta (Nymphalidae), which diverged relatively recently but show strong ecological differences. Whole genome sequence data reveal high overall differentiation between the two lineages, best explained by a long period of isolation at the early stage of their divergence. Demographically explicit approaches identify that 6.6% of the genome (32.7 Mbp) is impermeable to gene flow between the two species. Lots of these barrier loci are located on the Z chromosome, potentially spanning 75% of its length which would indicate that a large Z effect is at play in this speciation. Moreover, only a small proportion of barriers showed signatures of selection, suggesting that non-adaptive processes largely contributed to the build-up of reproductive isolation. Therefore, although genes involved in stress response and response to hypoxia are interesting candidates under selection, the adaptation of C. gardetta to alpine conditions may not to be the main driver of speciation. Our study brings an original example of intertwined adaptive and non-adaptive processes leading to reproductive isolation in a speciation with secondary contact and improves our understanding of the genomic underpinnings of species divergence.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".