Variation and diversity of the breakpoint sequences on 4AL for the 4AL/5AL translocation in <i>Triticum</i>
Bibliographic record
Abstract
The translocation of 4AL/5AL in Triticum, which occurred before the differentiation of T. urartu and einkorn, is an important chromosomal rearrangement. Recently, the first identification of breakpoint sequence on 4AL for this translocation provides the opportunity to analyze the variation and diversity of breakpoints in Triticum. In this study, the breakpoint regions of 52 accessions from 21 species were isolated and further characterized. The sequences were divided into 12 types based on their lengths, which ranged from 2009 to 2552 bp. Cluster analysis showed that they were further divided into three groups. Interesting evolutionary relationships among a few of the species were observed and discussed. Multiple sequence alignment of the 52 sequences made it possible to detect 13 insertion and deletion length polymorphisms (InDels) and 101 single nucleotide polymorphisms (SNPs). Furthermore, several species- or accession-specific SNPs or InDels were also identified. Based on BLAST analysis of the conserved sequences, the breakpoint was narrowed down to a 125 bp fragment. Taken together, the results obtained in this study enrich our understanding of chromosomal breakpoints and will be useful for the identification of other breakpoints in wheat.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".