Highly polymorphic microsatellite markers in <i>Chamaecyparis obtusa</i>
Bibliographic record
Abstract
Nine microsatellite loci in hinoki, Chamaecyparis obtusa (Sieb. et Zucc.) Endl., were identified and characterized. A genomic library, developed using enrichment with magnetic beads, was screened to identify microsatellite repeats (CT/AG). The microsatellite loci, where the alleles were segregated, displayed codominant Mendelian inheritance. Genetic analysis of 16 plus trees and two unrelated individuals of Chamaecyparis obtusa revealed that all loci were highly polymorphic, with an average of 10.3 alleles per locus, and an average gene diversity of 0.77. The applicability of these microsatellite loci was also tested in other species of the Cupressaceae and in Cryptomeria japonica (L.f.) D. Don (Taxodiaceae, a family closely related to Cupressaceae). Polymerase chain reaction (PCR) amplification was successful for about half of the loci of the species in the genus Chamaecyparis. However, the PCR amplification patterns of the 11 species of Cupressaceae showed no clear correlations with their molecular phylogeny. The highly polymorphic microsatellite loci in Chamaecyparis obtusa, identified here, will be useful in studies of hinoki breeding and population genetics.
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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 | 0.001 | 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".