Self-Fertilization and the Role of Males in Populations of Tadpole Shrimp (Branchiopoda: Notostraca:<i>Triops</i>)
Bibliographic record
Abstract
Self-fertilization has both negative and positive fitness effects on species evolution. Selfing can increase inbreeding depression, thereby decreasing genetic diversity. In contrast, self-fertilization can preserve beneficial gene combinations and facilitate colonization success. Within the class of crustaceans Branchiopoda, selfing is a primary reproductive mode. Some species of Triops, in the family Notostraca, are a few of the animal species thought to have a mixed mating system between hermaphrodites and males termed androdioecy. The objective of this study is to validate the reproductive mode utilized by Triops newberryi in southern New Mexico by the use of progeny arrays and population simulations. Individuals were reared in the lab from dried soil collected from temporary ponds inhabited by T. newberryi The adults reared and the encysted embryos contained within their brood pouches were genotyped using 7 T. newberryi specific microsatellite markers to determine the relatedness between parent and offspring. Overall microsatellite diversity was low with few heterozygous individuals and limited polymorphisms. Simulated populations and allele segregation analysis suggest hermaphroditism is the primary reproductive mode for T. newberryi In addition, based on the offspring's alleles, there was no direct evidence that a male (ovisacless) T. newberryi outcrossed with a female. Population simulations further suggest that the rate of successful outcrossing events must be low and could explain why outcrossing was not observed in the laboratory rearing trials.
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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 | 0.000 | 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".