Live-bearing cockroach genome reveals convergent evolutionary mechanisms linked to viviparity in insects and beyond
Bibliographic record
Abstract
Insects provide an unparalleled opportunity to link genomic changes with the rise of novel phenotypes, given tremendous variation in the numerous and complex adaptations displayed across the group. Among these numerous and complex adaptations, live-birth has arisen repeatedly and independently in insects and across the tree of life, suggesting this is one of the most common types of convergent evolution among animals. We sequenced the genome and transcriptome of the Pacific beetle-mimic cockroach, the only truly viviparous cockroach, and performed comparative analyses including two other viviparous insect lineages, the tsetse and aphids, to unravel the genomic basis underlying the transition to viviparity in insects. We identified pathways experiencing adaptive evolution, common in all viviparous insects surveyed, involved in uro-genital remodeling, maternal control of embryo development, tracheal system, and heart development. Our findings suggest the essential role of those pathways for the development of placenta-like structure enabling embryo development and nutrition. Viviparous transition seems also to be accompanied by the duplication of genes involved in eggshell formation. Our findings from the viviparous cockroach and tsetse reveal that genes involved in uterine remodeling are up-regulated and immune genes are down-regulated during the course of pregnancy. These changes may facilitate structural changes to accommodate developing young and protect them from the mothers immune system. Our results denote a convergent evolution of live-bearing in insects and suggest similar adaptive mechanisms occurred in vertebrates, targeting pathways involved in eggshell formation, uro-genital remodeling, enhanced tracheal and heart development, and reduced immunity.
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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".