Integration of mandarin (<i>Citrus reticulata</i>) cytogenetic map with its genome sequence
Bibliographic record
Abstract
Citrus is an extremely important genus in terms of world fruit production. Despite its economic importance and the small genome sizes of its species (2n = 18, 1C = 430 ± 68 Mbp), entire genomic assemblies have only recently become available for some of its representatives. Together with the previous CMA/DAPI banding and fluorescence in situ hybridization (FISH) in the group, these data are important for understanding the complex relationships between its species and for assisting breeding programs. To anchor genomic data with the cytogenetic map of mandarin (Citrus reticulata), the parental species of several economically important hybrids such as sweet orange and clementine, 18 BAC (bacterial artificial chromosome) clones were used. Eleven clementine BACs were positioned by BAC-FISH, doubling the number of chromosome markers so far available for BAC-FISH in citrus. Additionally, six previously mapped BACs were end-sequenced, allowing, together with one BAC previously sequenced, their assignment to scaffolds and the subsequent integration of chromosomes and the genome assembly. This study therefore established correlations between mandarin scaffolds and chromosomes, allowing further structural genomic and comparative study with the sweet orange genome, as well as insights into the chromosomal evolution of the group.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".