Molecular markers indicate two cryptic, genetically divergent populations of Russian thistle (<i>Salsola</i> <i>tragus</i>) in California
Bibliographic record
Abstract
Genetic variability among accessions of Russian thistle (Salsola tragus L.) from California was investigated using allozymes and DNA-based molecular markers. Aspartate aminotransferase and 6-phosphogluconate dehydrogenase displayed two multienzyme phenotypes that were widespread in plants throughout the state. Random amplified polymorphic DNA analysis was conducted on samples of the two isoenzymic phenotypes collected throughout California, as well as additional accessions from France and Turkey and Salsola paulsenii Litv. Six primers produced 23 polymorphic bands. Analysis of the patterns of bands by calculation of simple matching coefficients and cluster analysis confirmed the genetic distinctness of the two isoenzymic phenotypes of S. tragus; S. paulsenii was markedly different from both types. Mean fruit weights from plants grown under similar conditions were different between the two types as well. These results and preliminary cytological analysis together suggest that the two types are actually two different species of Salsola, only one of which has been previously recognized. Analysis of the DNA-based markers suggests that one of the genetic entities may be closely related to Salsola found in Europe, while the area of origin of the second entity is currently obscure.Key words: allozyme, genetic diversity, RAPD assay, Salsola tragus, Salsola paulsenii.
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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) | 0.000 | 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".