Sex-specific <i>doublesex</i> regulation targeting the color-patterning gene <i>h</i> underlies the evolution of wing sexual dimorphism in the harlequin ladybug <i>Harmonia axyridis</i>
Bibliographic record
Abstract
Abstract Organisms on Earth show various forms of sexual dimorphism, including ornaments, weapon traits, and pheromone glands, which has been acquired through sexual selection during evolution. Although the genetic basis of sexual trait has been investigated in diverse species, its evolutionary origin, evolutionary mode, and evolvability remain poorly understood. To address these issues, we investigated the strain-specific sexual dimorphism in elytral color patterns of the harlequin ladybug, Harmonia axyridis , a species with over 200 color morphs. The most basal Red-nSpots type color morph exhibits sexual dimorphism, whereas other derived color morphs have lost it. To investigate how this loss of sexual dimorphism is associated with the emergence of novel color morphs, we investigated the genetic basis of sexual dimorphism by focusing on the master sex differentiation gene, doublesex ( dsx ). We show that dsx regulates color pattern dimorphism by negatively modulating black spot size in males. This modulation is primarily mediated by the transcriptional regulation of the color patterning gene, h ( Drosophila pannier ortholog). Intraspecific comparative ATAC-seq analysis of the pupal wings revealed that, at the h locus, not the absolute number of Dsx-binding motifs but the proportion of open chromatin regions containing Dsx-binding motifs relative to those lacking such motifs was reduced in strains that had lost sexual dimorphism and acquired novel color patterns, implying that sexual dimorphism evolves based on the balance between novel CREs and Dsx-binding motif density. The present study provides a fundamental molecular framework for understanding how a secondary sexual trait evolves within H. axyridis .
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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 | 0.000 | 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".