Highly expressed genes in gonads of the bat star <i>Patiria miniata</i>: gene ontology, expression differences, and gamete recognition loci
Bibliographic record
Abstract
Abstract Evolutionary analysis of mating systems in broadcast‐spawning marine animals and plants has focused on sperm‐ and egg‐surface proteins and glycopeptides that mediate reproductive interactions at different stages of gamete recognition. Improved understanding of the ecology and evolution of such interactions depends on extending our knowledge to multiple genes expressed in both sperm and eggs of diverse taxonomic groups with different modes of fertilization. Here, we use readily accessible next‐generation sequencing methods and desktop bioinformatics to characterize the repertoire of highly expressed genes in testes and ovaries of the asterinid sea star Patiria miniata, including gene ontology annotations for male‐ and female‐expressed molecules, and descriptions of two genes that encode egg‐surface molecules involved in fertilization that have not previously been studied in sea stars. The results are used to contrast expression differences between the testis and ovary, and to develop hypotheses of gamete‐specific expression. We also explore differences in ovary gene expression among multiple females from northern and southern populations that show nucleotide differentiation at many non‐expressed loci and at a gamete recognition locus.
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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".