Transcriptome Analysis of the Circadian Regulatory Network in the Coral <i>Acropora millepora</i>
Why this work is in the frame
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Bibliographic record
Abstract
Entrained circadian rhythms control many biological processes. These cyclical systems are synchronized by environmental signals but continue to free run for a considerable time when the synchronizing stimuli are removed. In scleractinian corals that reproduce by broadcast spawning, timing processes are essential in ensuring successful fertilization. It is not known whether spawn timing is regulated directly by environmental signals or if it is entrained and regulated by circadian or circalunar rhythms. The genetic components of circadian systems have been studied in considerable detail in microbes, plants, and animals. To identify potential participants in regulating scleractinian circadian systems, we have undertaken a bioinformatic analysis of the transcriptome of larvae of the coral Acropora millepora. Acropora contigs assembled from more than 600,000 sequencing reads from larval mRNA were searched via NCBI BLAST for matches to 24 key insect and mammalian circadian genes. Matches were found to all queried genes, with 22 of 24 of these matches having strong confidence levels. An Acropora match to the nonvisual photoreceptor melanopsin was also identified. The high level of conservation of circadian gene networks implies that the regulatory interactions between pathway members are also likely to be conserved and to regulate entrained processes in corals.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it