Genome analysis of seven species of <i>Kengyilia</i> (Triticeae: Poaceae) with FISH and GISH
Bibliographic record
Abstract
The genome compositions and genetic relationships of seven species of Kengyilia were assessed using a sequential fluorescence in situ hybridization (FISH) and genomic in situ hybridization (GISH) technique. Five species, K. kokonorica, K. rigidula, K. hirsuta, K. grandiglumis, and K. thoroldiana, are native to Qinghai (China). The other two, K. alatavica and K. batalinii, are distributed in Xinjiang (China) and Kyrgyzstan, respectively. Each chromosome could be easily identified using chromosome markers (45S rDNA, 5S rDNA, pAs1, and AAG repeats) by FISH and allocated to the St, P, or Y genome by GISH. Molecular karyotype comparison indicated that K. alatavica and K. batalinii were distinct from the Qinghai species in all three genomes. These results support that the species of Kengyilia from Central Asia and the Qinghai-Tibetan plateau have independent origins. Genomic differentiation was still detected among the species of Kengyilia from Qinghai. Specifically, a common species-specific pericentric inversion was identified in both K. grandiglumis and K. thoroldiana, and an identical St-P non-Robertsonian translocation was frequently detected in K. hirsuta. The Qinghai species formed three genetic groups, K. kokonorica-K. rigidula, K. hirsuta, and K. grandiglumis-K. thoroldiana. The possible role of species-specific inversions and translocations in the evolution of StPY species is discussed.
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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 | 0.000 |
| 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".