Balancing selection via life-history trade-offs maintains an inversion polymorphism in a seaweed fly
Bibliographic record
Abstract
Abstract How genetic diversity is maintained in natural populations is an evolutionary puzzle. Over time, genetic variation within species can be eroded by drift and directional selection, leading to the fixation or elimination of alleles. However, some loci show persistent variants at intermediate frequencies for long evolutionary time-scales, implicating a role of balancing selection, but studies are seldom set up to uncover the underlying processes. Here, we identify and quantify the selective pressures involved in the widespread maintenance of an inversion polymorphism in the seaweed fly Coelopa frigida , using an experimental evolution approach to estimate fitness associated with different allelic combinations. By precisely evaluating reproductive success and survival rates separately, we show that the maintenance of the polymorphism is governed by a life-history trade-off, whereby each inverted haplotype has opposed pleiotropic effects on survival and reproduction. Using numerical simulations, we confirm that this uncovered antagonism between natural and sexual selection can maintain inversion variation in natural populations of C. frigida . Moreover, our experimental data highlights that inversion-associated fitness is affected differently by sex, dominance and environmental heterogeneity. The interaction between these factors promotes polymorphism maintenance through antagonistic pleiotropy. Taken together, our findings indicate that combinations of natural and sexual selective mechanisms enable the persistence of diverse trait in nature. The joint dynamics of life history trade-offs and antagonistic pleiotropy documented here is likely to apply to other species where large phenotypic variation is controlled by structural variants. Significance statement Persistence of chromosomal rearrangements is widespread in nature and often associated with divergent life-history traits. Understanding how contrasted life-history strategies are maintained in wild populations has implications for food production, health and biodiversity in a changing environment. Using the seaweed fly Coelopa frigida, we show that a polymorphic chromosomal inversion is maintained by a trade-off between survival and reproduction, and thus provide empirical support for a role of balancing selection via antagonistic pleiotropy. This mechanism has long been overlooked because it was thought to only apply to a narrow range of ecological scenarios. These findings empirically reinforce the recent theoretical predictions that co-interacting factors (dominance, environment and sex) can lead to polymorphism maintenance by antagonistic pleiotropy and favour life-history variation.
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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 | 0.000 | 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 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".