Population structure of two ecologically distinct forms of ninespine stickleback,<i>Pungitius pungitius</i>: gene flow regimes and genetic diversity based on mtDNA sequence variations
Bibliographic record
Abstract
The population structure and its effect on genetic diversity were investigated in two ecologically distinct forms (fresh- and brackish-water types) of ninespine stickleback (Pungitius pungitius L.), which coexist on the coast of eastern Hokkaido, Japan. Obvious population subdivision (φST= 0.102 to 0.668) between freshwater systems in the freshwater type compared with that in the brackish-water type (φST= <0 to 0.078) was revealed on the basis of mitochondrial DNA (mtDNA) control region sequence variations. Results of the nested clade analysis suggested that the geographic distribution patterns of mtDNA lineages were mainly due to the contemporary population structure, rather than population histories. Although local populations were sampled from a similar geographic range for the two types, gene and nucleotide diversities of the freshwater type were significantly greater (0.94 and 0.016) than those of the brackish-water type (0.55 and 0.003). The increment of genetic diversity should be attributable to the obvious population structure and existence of divergent mtDNA lineages in the former, which clearly increased the effective population size of a subdivided population. Although these two forms maintain distinct gene pools, small sequence differences among mtDNA haplotypes obtained from each type suggested that mtDNA introgression has occurred between them.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".