Development of SSR Markers Associated with Polima CMS Fertility Restorer in <i>Brassica napus</i> L. and Its Application
Bibliographic record
Abstract
The Polima system of cytoplasmic male sterility (Pol CMS) was widely used for hybrid seed production, but with high probability of occurrence of maternal false hybrid due to the fertility of Polima CMS (Pol CMS) line greatly affected by the ambient temperature, therefore, the detection of maternal false hybrids is the key to purity identification. In present study, the SSR markers were designed based on the flanking sequences of Pol CMS restorer gene Rfp , and application of SSR markers in hybrid seed purity test of rapeseed. The main results were as follows: the sequences of Rfp were subjected to basic local alignment search tool queries against the Brassica rapa genome to determine chromosome positions, and 32 SSR markers were developed based on the upstream and downstream sequences of Rfp . Among the 32 SSR markers, one codominant marker was polymorphic between Pol CMS sterile and restorer line, the PCR product length was 162 bp in Pol CMS sterile lines, and 184 bp in restorer lines. Based on the PCR sequence, two insert fragments (15 bp and 7 bp) were identified in Pol CMS restorer lines. The SSR marker co-segregated with plant fertility of individuals in the “fengyou737” F 2 population. The purity of “fengyou737”, “fengyou320” and “fengyou958” were identified by means of PCR-SSR markers and field-planting, and the results of two ways were highly consistent, indicated that the codominant SSR marker tightly linked to Rfp , and the marker can detect paternal and maternal false hybrids. The present findings will provide technical assistance for hybrid seed purity test and genetic diversity analysis in rapeseed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".