Deciphering the genetic architecture of anther culturability in rice using segregation distortion approach
Bibliographic record
Abstract
Abstract Anther culture is a promising technique used in rice ( Oryza sativa L.) breeding, although the genetic mechanisms associated with anther culturability remain elusive. In the process of in vitro anther culture, favorable alleles for anther culture are preferentially transmitted to doubled haploid (DH) populations, resulting in biased segregation of DH populations. Therefore, the segregation distortion (SD) method is an ideal approach for mapping the genetic loci controlling anther culturability. Performing a SD analysis using a genetic map consisting of 666 single nucleotide polymorphism markers, we identified five potential loci (logarithm of odds [LOD] > 3.5) that may be associated with anther culturability, including SDL2 and SDL3 , which are overrepresented in japonica alleles, and SDL7 , SDL9 , and SDL11 , which are overrepresented in indica alleles. In addition, nine pairs of epistatic interactions (EPIs) that contribute significantly ( p < 0.05) to SD in the DH population were identified. Among them, the interaction between SDL2 and SDL3 is particularly noteworthy. These findings suggest that anther culturability in rice is governed by complex genetic mechanisms involving multiple nuclear genes and EPIs. This study provides insights into the genetic control underlying anther culturability in rice and lays the foundation for future research aimed at identifying causal genes associated with anther culturability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".