Use of Microsatellites to Determine Population Structure and Migration of Pacific Herring in British Columbia and Adjacent Regions
Bibliographic record
Abstract
Abstract This study assessed genetic population structure of Pacific herring Clupea pallasii in British Columbia and adjacent regions by analyzing microsatellite variation; the utility of microsatellites for stock identification applications was also evaluated. Variation at 14 loci was surveyed in approximately 26,000 Pacific herring from 90 sampling locations. Estimates of the genetic differentiation index FST by locus varied between 0.000 and 0.014, and the mean across all loci was 0.003. Four stocks of Pacific herring were defined in British Columbia, and stocks were also identified in southeast Alaska, Washington, and California. In British Columbia, differences in timing of spawning are the main isolating mechanisms among stocks, although geographic isolation of the spawning populations may also have some effect in maintaining the genetic distinctiveness of each stock. The limited genetic differentiation among Pacific herring populations in British Columbia is consistent with among‐population straying rates that are sufficient to homogenize allele frequencies over broad areas. Analysis of simulated mixtures from fishery sampling suggested that acceptable estimates of stock composition were achieved by use of the microsatellites. Mixed‐stock samples (∼1,700 individuals) were collected during research vessel surveys from 14 locations in British Columbia. Analysis of summer mixed‐stock samples from the Strait of Georgia and adjacent waters indicated that resident fish on the west side of the strait were mainly derived from primary‐spawning populations (i.e., those that spawned during the primary period in March) that failed to migrate to traditional summer feeding grounds. On the east side of the strait, Pacific herring of mainland inlet origin were found in higher proportions and presumably did not move in appreciable numbers to feeding areas off the west coast of Vancouver Island. In northern British Columbia, fish from northern late‐spawning populations dominated fishery samples collected in waters adjacent to the mainland until the end of June; however, by late July, this group had been replaced almost entirely by primary‐spawning Pacific herring of British Columbia origin.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".