A bacterial artificial chromosome based physical map of the<i>Ustilago maydis</i>genome
Bibliographic record
Abstract
Ustilago maydis, a basidiomycete, is a model organism among phytopathogenic fungi. A physical map of U. maydis strain 521 was developed from bacterial artificial chromosome (BAC) clones. BAC fingerprints used polyacrylamide gel electrophoresis to separate restriction fragments. Fragments were labeled at the HindIII site and co-digested with HaeIII to reduce fragments to 50-750 bp. Contiguous overlapping sets of clones (contigs) were assembled at nine stringencies (from P < or = 1 x 10(-6) to 1 x 10(-24)). Each assembly nucleated contigs with different percentages of bands overlapping between clones (from 20% to 97%). The number of clones per contig decreased linearly from 41 to 12 from P < or = 1 x 10(-7) to 1 x 10 (-12). The number of separate contigs increased from 56 to 150 over the same range. A hybridization-based physical map of the same BAC clones was compared with the fingerprint contigs built at P < or = 1 x 10(-7). The two methods provided consistent physical maps that were largely validated by genome sequence. The combined hybridization and fingerprint physical map provided a minimum tile path composed of 258 BAC clones (18-20 Mbp) distributed among 28 merged contigs. The genome of U. maydis was estimated to be 20.5 Mbp by pulsed-field gel electrophoresis and 24 Mbp by BAC fingerprints. There were 23 separate chromosomes inferred by both pulsed-field gel electrophoresis and fingerprint contigs. Only 11 of the tile path BAC clones contained recognizable centromere, telomere, and subtelomere repeats (high-copy DNA), suggesting that repeats caused some false merges. There were 247 tile path BAC clones that encompassed about 17.5 Mbp of low-copy DNA sequence. BAC clones are available for repeat and unique gene cluster analysis including tDNA-mediated transformation. Program FingerPrint Contigs maps aligned with each chromosome can be viewed at http://www.siu.edu/~meksem/ustilago_maydis/.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".