The genome of the mustard hill coral, Porites astreoides
Bibliographic record
Abstract
Anthropogenic effects have contributed to substantial declines in coral reefs worldwide. However, some corals are more resilient to environmental changes and have increased in relative abundance, thus these species may shape future reef communities. Here, we provide the first draft reference genome for the mustard hill coral, Porites astreoides, collected in Bermuda. DNA was sequenced via Pacific Biosciences (PacBio) HiFi long-read technology. PacBio read assembly with FALCON UnZip resulted in a 678-Mbp assembly with 3051 contigs with an N50 of 412,256 and the BUSCO completeness analysis resulted in 90.9% of the metazoan gene set. An ab initio transcriptome was also produced with 64,636 gene models with a transcriptome BUSCO completeness analysis of 77.5% versus the metazoan gene set. Functional annotation was completed for 86.6% of proteins. These data are valuable resources for improving biological knowledge of P. astreoides, facilitating comparative genomics for corals, and supporting evidence-based restoration and human-assisted evolution of corals.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 |
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".