Investigating polyploidy and associated hematological changes in wild and hatchery Lake Sturgeon, Acipenser fulvescens
Bibliographic record
Abstract
During artificial rearing, sturgeon can experience disruptions in cell division causing spontaneous autopolyploidy: an unintentional increase in genome size by 1.5 times. In octoploid (8N) Lake Sturgeon, Acipenser fulvescens this results in fertile dodecaploid (12N) offspring, which are more commonly female than male. Mature 12N individuals that successfully spawn with octoploids, produce 10N offspring with poorer fitness and survivorship. I determined the ploidy and biological sex of Lake Sturgeon from wild and hatchery populations in Manitoba, Canada. To compare the incidence of spontaneous autopolyploidy between these environments and investigate sexual bias. Female-specific DNA sequences were used to evaluate the sex of a subset of individuals from each population, using DNA from pectoral fin clips. Blood samples were collected to determine ploidy based on measures of erythrocyte modal nuclei volume, and DNA content. These measures assume that erythrocyte size is representative of genome size, but do not account for extrinsic factors. Therefore, I further investigated temperature, photoperiod, and stocking density affects on the size, shape, abundance, and hemoglobin concentration of erythrocytes. These factors, which were assessed in a separate group of juveniles following 30-days of exposure to one of four treatments: low density (~ 0.2 kg/m2) at 16°C and 12:12 light: dark photoperiod; high density (~ 0.67 kg/m2) at 16°C and 12:12; low density at 20°C and 24:0; and high density at 20°C and 24:0. One 12N individual, which was female, was found in the University of Manitoba hatchery population. Modal nuclei volume was significantly different between all populations, except two which were reared in the same environment. Although most erythrocyte measures were resilient to the environmental changes, modal nuclei volume was sensitive to increased temperature and photoperiod. The incidence of a single 12N individual supports the need for ploidy determinations prior to release of hatchery individuals. With the data suggesting those determinations be made comprehensively, considering the physical and physiological environment of the individuals being sampled. To my knowledge, this is the first study to establish reference values for erythrocyte morphometry in multiple populations of Lake Sturgeon.
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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".