Assessing Diversity in the<i>Camelina</i>Genus Provides Insights into the Genome Structure of<i>Camelina sativa</i>
Bibliographic record
Abstract
Abstract Camelina sativa (L.) Crantz an oilseed crop of the Brassicaceae family is gaining attention due to its potential as a source of high value oil for food, feed or fuel. The hexaploid domesticated C. sativa has limited genetic diversity, encouraging the exploration of related species for novel allelic variation for traits of interest. The current study utilized genotyping by sequencing to characterize 193 Camelina accessions belonging to seven different species collected primarily from the Ukrainian-Russian region and Eastern Europe. Population analyses among Camelina accessions with a 2n = 40 karyotype identified three subpopulations, two composed of domesticated C. sativa and one of C. microcarpa species. Winter type Camelina lines were identified as admixtures of C. sativa and C. microcarpa. Eighteen genotypes of related C. microcarpa unexpectedly shared only two subgenomes with C. sativa, suggesting a novel or cryptic sub-species of C. microcarpa with 19 haploid chromosomes. One C. microcarpa accession (2n = 26) was found to comprise the first two subgenomes of C. sativa suggesting a tetraploid structure. The defined chromosome series among C. microcarpa germplasm, including the newly designated C. neglecta diploid née C. microcarpa, suggested an evolutionary trajectory for the formation of the C. sativa hexaploid genome and re-defined the underlying subgenome structure of the reference genome.
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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 | 0.002 | 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) | 0.002 | 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".