Comparing the incidence of spontaneous autopolyploidy in wild and hatchery Lake Sturgeon
Bibliographic record
Abstract
Abstract Objective Living species of Acipenseriformes, sturgeons and paddlefishes, are characteristically polyploid, having more than two complete sets of chromosomes (>2n). They undergo spontaneous autopolyploidy, an unintentional one and a half times increase in genome size, more frequently than any other order of fish. For Lake Sturgeon Acipenser fulvescens, which are evolutionary octoploids (8n), spontaneous autopolyploidy results in fertile dodecaploid (12n) progeny. When 12n individuals reproduce with octoploids, it is possible that resulting decaploid (10n) offspring will have poor physiological performance and survivorship. Spontaneous autopolyploidy in the wild is very low; however, incidence in fish hatcheries is greater, as seen in other 8n sturgeon species. We investigated this disparity in Lake Sturgeon, predicting to find more dodecaploid individuals in hatchery populations than in the wild. Methods Ploidy was determined using red blood cells from individuals in three hatchery and two wild populations of Lake Sturgeon in Manitoba, Canada (n = 1004). Red blood cell volume was evaluated with a Z2 Coulter counter and used to determine ploidy, based on the average of triplicate measures of the erythrocyte modal nuclei volume (fL). A subsample from each environment type was further examined using blood smear analysis (n = 130) and flow cytometry (n = 27). Result One 12n hatchery individual was found, along with significant differences in erythrocyte morphometry between the five populations. Fluctuations in modal nuclei volume were also observed over 169 days of repeated measurement within a single hatchery population. Conclusion The well-developed relationship between erythrocyte size and fishes external and physiological environment may explain the variance both between and within populations. These results demonstrate the need for ploidy monitoring in artificial hatcheries, as releasing even a single 12n fish could produce thousands of 10n offspring that, if recruited, would have a detrimental effect on the population fitness.
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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".