Development of chloroplast‐specific microsatellite markers for molecular characterization of alloplasmic lines and phylogenetic analysis in wheat
Bibliographic record
Abstract
Abstract Wheat (Triticum aestivum L.) is strictly a self‐pollinated crop, where hybrid breeding requires well‐characterized cytoplasmic male sterile (CMS) lines. The CMS has mostly been developed by substituting nuclear genome of wheat into the cytoplasm from wild relatives. Molecular characterization of 90 genotypes including 82 CMS lines originating from five different species, namely Aegilops speltoides, Ae. kotschyi, Ae. variabilis, Triticum araraticum and T. timopheevii, and eight popular varieties was carried out. Consequently, a set of 25 microsatellite markers specific to chloroplast (cpSSRs) were designed and successfully validated for specificity of amplification. A total of 15 cpSSRs (60%) were found polymorphic, of which three cpSSRs (TaCM7, TaCM8 and TaCM11) in genic region and twelve cpSSRs were located in intergenic region. Phylogenetic analysis of genotypes using cpSSRs revealed two major groups well in accordance with respective origin. A set of cpSSRs and phylogeny of CMS belonging to different origins developed, which will be helpful for the improvement in CMS system in wheat. The genic cpSSRs can be used for the allele mining and evolutionary studies.
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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 | 0.000 |
| 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".