Microsatellite markers reveal multiple paternity and sperm storage in the Mediterranean spur-thighed tortoise, <i>Testudo graeca</i>
Bibliographic record
Abstract
The spur-thighed tortoise (Testudo graeca) is a terrestrial species in which multiple mating is frequently observed. We assessed the probability of multiple paternity in clutches (n = 15) laid by eight females, including successive clutches. Paternity was determined by microsatellite analyses at three loci. A large number of alleles per locus (n = 15–22) provided high probabilities of detecting multiple paternity, particularly at all loci combined (P = 0.989). Multiple paternity was found in 20% of the clutches in which offspring displayed more than two paternal alleles. However, this frequency may have been underestimated, given the small clutch sizes and the few loci used. Also, T. graeca is able to store sperm from single or multiple matings and can use it to fertilize subsequent clutches of eggs, as indicated by the fact that the second clutch of a captive female was sired by a different male and that clutches of another female were multiply sired by the same males. These results confirm that multiple paternity exists in T. graeca and that sperm storage in this species may be an important reproductive strategy to fertilize multiple clutches per year.
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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 | 0.000 |
| 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".