Identification of chromosomes in <i>Thinopyrum intermedium</i> and wheat <i>Th. intermedium</i> amphiploids based on multiplex oligonucleotide probes
Bibliographic record
Abstract
Synthesized oligonucleotides (oligos) can be used as effective probes similar to plasmid clones for chromosome identification in fluorescence in situ hybridization (FISH) analysis, making oligo FISH a simpler and more efficient molecular cytogenetic technique for studying plants. In this study, multiplex oligonucleotide probes, including pSc119.2-1, pAs1-4, (GAA)10, (AAC)6, and pTa71, were combined and used in FISH to identify chromosomes in common wheat, Thinopyrum intermedium, and a wheat – Th. intermedium amphiploid TE256-1. In comparison with general FISH probes, signals generated by the multiplex probes were more abundant, colorful, and characteristic. Combining the results of genomic in situ hybridization (GISH) with FISH, Th. intermedium chromosomes and alien chromosomes in TE256-1 could be classified and identified more precisely, especially the J- and Js-genome chromosomes. Moreover, based on the FISH results using multiplex probes, more structural variations in wheat chromosomes of TE256-1 were detected. The results indicated that multiplex oligo probes would have a wide range of application prospects in the creation and identification of wheat – Th. intermedium germplasms.
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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 | 0.000 | 0.000 |
| 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".