A severe bottleneck impacted the genomic structure of egg-eating cichlids
Bibliographic record
Abstract
Abstract The explosive adaptive radiation of Haplochromine cichlids in Lake Victoria, East Africa, produced 500 endemic species within only 15,000 years. A paedophage or an egg-eater is considered a unique example of trophic adaptation. Many field studies reported that more than 200 cichlids have extinct due to the upsurge of Nile perch, a carnivorous species introduced to the lake in the 1950s. Especially, piscivorous cichlids like paedophages were critically damaged by Nile perch predation. Here, we performed a genome-wide evolutionary study of the paedophages in Lake Victoria to understand their past demographic events and phylogenetic relationships. We discovered evidence of a recent, short-period, and severe bottleneck in a paedophage “matumbi hunter”. Interestingly, the signature of a strong bottleneck, as observed in matumbi hunter, was not detected in other species including paedophagus species. In addition, it was revealed that the population size of matumbi hunter started to decline 30 years ago and recover from 20 to 10 years ago, corresponding to the time of both disappearance and resurgence of Lake Victoria Haplochromines were reported. Although population structure analyses showed that matumbi hunter is composed of a unique genetic component, phylogenetic analyses supported its strong monophyly with other paedophagus species. These results suggest that the paedophages originated only once in Lake Victoria followed by the decline of genetic diversity in matumbi hunter. This study succeeded to demonstrate the demographic events triggered by invasive species and associated genomic consequences of the unique trophic group, promoting a holistic understanding of adaptive radiation.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".