Conservation aquaculture of wild-origin offspring preserves genetic diversity in an endangered population of white sturgeon
Bibliographic record
Abstract
Abstract Conservation aquaculture programs that release fish to supplement wild populations can potentially capture greater genetic diversity by collecting offspring as embryos and larvae from wild spawning events than by producing them conventionally from broodstock. A conservation aquaculture program for the endangered white sturgeon population of the Upper Columbia River initially utilized wild broodstock for 14 years before fully transitioning to rearing wild-origin offspring in 2014. Here we evaluated the performance of this program in capturing the wild population’s genetic diversity since transitioning to wild-origin offspring. We analyzed genotypes of 325 tetrasomic single nucleotide polymorphism (SNP) markers in more than 5,000 offspring reared from 2014 to 2020 and over 1,000 wild adults from the population. Genetic diversity statistics were highly similar between each offspring year class and the wild adult population. We inferred sibship structure to estimate the total number of spawners (N s ) and effective number of breeders (N b ) represented within each year class and found values as high as 932.5 (95% CI 876–989) and 146.3 (95% CI 144–149), respectively, far surpassing the numbers included as broodstock. We further estimated N s and N b for three year classes with their individuals that died in aquaculture and found that on average, the mortality rate of 33.2% decreased N s by 21.5% and N b by 7.9%. Finally, we analyzed relationship coefficients to identify full-sibships spanning collection sites and found them in one year class, comprising 0.27% of all full-sibling pairs that year, demonstrating that the separate sites display negligible redundancy with respect to sibling families collected. Our results illustrate a robust performance by this program in representing the wild population’s diversity compared to broodstock approaches and support the adoption of utilizing wild-origin offspring in other conservation aquaculture programs when feasible.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".