Different patterns of genealogical relationships found in the two major QTLs causing reduction of seed shattering during rice domestication
Bibliographic record
Abstract
The three quantitative trait loci (qSH1, qSH3, and qSH4) causing reduction of seed shattering were investigated to examine their relative importance during rice domestication. The qSH1 and qSH4 loci showed a distinct effect on the reduction of shattering, compared with the qSH3 locus. Fine mapping and sequence analysis strongly suggested that the qSH1 and qSH4 loci are the same as the recently reported genes. A non-shattering allele at qSH1 drastically changed the shattering phenotype to a non-shattering phenotype even in the presence of shattering alleles at the qSH3 and qSH4 loci, showing that qSH1 is genetically epistatic to the other loci. The level of the reduction in sequence diversity was compared between the qSH1 and qSH4 regions. The sequence diversity was severely reduced in the qSH1 region of Oryza sativa subsp. japonica compared with that of O. sativa subsp. indica, despite that the level of diversity was similarly reduced at the qSH4 region in the 2 subspecies. Phylogenetic reconstruction based on the combined sequences of the flanking sites showed different patterns in the 2 subspecies. The 2 subspecies formed a single clade with respect to qSH4, whereas they were separated into different lineages with respect to qSH1, suggesting that these loci had different histories during rice domestication.
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 | 0.000 | 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".