<i>Isaac</i>-CACTA transposons: new genetic markers in maize and sorghum
Bibliographic record
Abstract
CACTA is an En/Spm transposon superfamily present in high copy number in plant genomes, and Isaac is a subfamily of the CACTA superfamily. The TIR sequence of the Isaac subfamily was used for the purpose of transposon display (TD) in maize and sorghum. The Isaac TD produced 50-80 amplified fragments, depending on the primer combination, and the amplification profile was highly polymorphic among maize inbred lines. Isaac TD-based phylogenetic clustering distinguished the maize inbred lines according to their lineages and was consistent with the results of phylogenetic reports derived from other marker techniques by others researchers. The Isaac TD profile proved to be highly reproducible with different brands of Taq DNA polymerases and thermocyclers. The Isaac TD was also applied to recombinant inbred lines to assess genetic segregation; we observed 40-50 recordable segregation markers, depending on the primer combination. These Isaac TD markers segregated mostly as dominant markers, although, in a few cases, non-parental bands were observed in the segregating populations. In addition, the Isaac TD was very successful in the amplification of sorghum accessions. Therefore, the Isaac TD may provide another useful protocol for genetic analysis in maize and sorghum.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".