Characterization of expressed sequence tag-derived simple sequence repeat markers for 17 <i>Linum</i> species
Bibliographic record
Abstract
One major challenge in genetic and evolutionary studies of wild flax species is the lack of informative molecular markers. A set of 100 informative expressed sequence tag-derived simple sequence repeat (EST-SSR) primer pairs developed in cultivated flax ( Linum usitatissimum L.) were characterized on 35 Linum accessions representing 17 Linum species for their transferability to other Linum species. Ninety-nine primer pairs displayed scorable polymorphisms across 35 Linum samples and generated 627 bands likely from 121 loci. About 50% of the detected bands occurred only in three or fewer samples. A total of 393 bands, likely from 116 loci, were detected by 97 primer pairs in Linum bienne Mill. samples, but only up to 60 bands, likely from up to 39 loci, were revealed by 6 to 37 primer pairs in the samples of the other 15 Linum species. The L. bienne samples displayed 23.7% more EST-SSR variation than the L. usitatissimum samples. These characterized EST-SSR markers should be useful for future genetic diversity and evolutionary studies of Linum species, particularly for the progenitor of cultivated flax.
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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 | 0.000 | 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 | 0.001 |
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".