Construction and characterization of a BAC library for the molecular dissection of a single wild beet centromere and sugar beet (<i>Beta vulgaris</i>) genome analysis
Bibliographic record
Abstract
We have constructed a sugar beet bacterial artificial chromosome (BAC) library of the chromosome mutant PRO1. This Beta vulgaris mutant carries a single chromosome fragment of 6-9 Mbp that is derived from the wild beet Beta procumbens and is transmitted efficiently in meiosis and mitosis. The library consists of 50,304 clones, with an average insert size of 125 kb. Filter hybridizations revealed that approximately 3.1% of the clones contain mitochondrial or chloroplast DNA. Based on a haploid genome size of 758 Mbp, the library represents eight genome equivalents. Thus, there is a greater than 99.96% probability that any sequence of the PROI genome can be found in the library. Approximately 0.2% of the clones hybridized with centromeric sequences of the PRO1 minichromosome. Using the identified BAC clones in fluorescence in situ hybridization experiments with PRO1 and B. procumbens chromosome spreads, their wild-beet origin and centromeric localization were demonstrated. Comparative Southern hybridization of pulsed-field separated PROI DNA and BAC inserts indicate that the centromeric region of the minichromosome is represented by overlapping clones in the library. Therefore, the PRO1 BAC library provides a useful tool for the characterization of a single plant centromere and is a valuable resource for sugar beet genome analysis.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".