Genetic analysis and high-resolution mapping of a premature senescence gene<i>Pse(t)</i>in rice (<i>Oryza sativa</i>L.)
Bibliographic record
Abstract
A rice mutant, designated pse(t) (premature senescence, tentatively), was isolated from a T-DNA-inserted transgenic population. Senescence advanced more markedly in pse(t) than in wild-type ('Zhonghua 11', japonica) plants. Genetic analysis of pse(t) revealed that the premature senescence mutation was controlled by a single recessive nuclear gene, but that it was not induced by T-DNA insertion. In an effort to understand the genetic and molecular basis underlying premature senescence in rice, a map-based cloning strategy was used to localize Pse(t). High-resolution mapping of the Pse(t) locus was carried out using simple sequence repeat (SSR) and cleaved amplified polymorphic sequence (CAPS) markers. An F2 population, comprising 1691 pse(t) individuals derived from a cross of the pse(t) mutant with 'Longtepu' (indica), was constructed. Several new polymorphism markers were developed in this study. Genetic linkage analysis showed that the Pse(t) gene was located on the long arm of chromosome 7. It was found that the Pse(t) gene cosegregated with 3 markers and was flanked by markers SS22 and PP21. Thus, the Pse(t) gene is located within a genetic distance of 0.15 cM, corresponding to a physical distance of 220 kb. These findings provide the basic information that can be used for the final isolation of this gene in the rice premature-senescence pathway.
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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) | 0.000 | 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 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".