Genetic structure of <i>Quercus gilva</i> Blume in Japan as revealed by chloroplast DNA sequences
Bibliographic record
Abstract
Quercus gilva (Blume) is an evergreen oak species that is native to Japan, China, and Taiwan. Because of a long history of human impact, this species is threatened with extinction in several regions of Japan. The objective of this study was to identify the genetic structure of Q. gilva based on chloroplast DNA (cpDNA) sequencing analysis. We collected 123 samples from 25 populations in Japan, 8 samples from 1 population in China, and 46 samples from 5 populations in Taiwan. Approximately 1815 bp of cpDNA was sequenced for each of the 177 samples. Thirteen haplotypes were detected, with no cross-region distribution of haplotypes among the three geographically separated countries. There were large genetic differences among populations (G ST = 0.824, [Formula: see text] = 0.937). Six haplotypes (haplotypes 1, 2, 3, 4a, 4b, and 5) were detected in Japan; haplotype 4a was the most common, detected from 20 populations, and the other rare haplotypes, except for haplotype 4b, occurred at the edge of the species’ distribution. In addition, four haplotypes (haplotypes 1, 2, 3, and 5) were quite different from the predominant haplotype (haplotype 4a), with more than four cpDNA mutations except for a mononucleotide repeat, suggesting that populations with these rare haplotypes should be conserved separately.
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 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".