Additional file 1 of Genomic insights into the evolutionary history and diversification of bulb traits in garlic
Bibliographic record
Abstract
Additional file 1: Table S1. Basic information for 233 accessions. Table S2. Statistics of variation in 230 garlic accessions from the GBS sequencing. Table S3. Basic information for 84 resequenced accessions. Table S4. Statistics and distribution of SNPs identified from 84 garlic accessions by resequencing. Table S5. Statistics and distribution of small indels identified from 84 garlic accessions by resequencing. Table S6. Divergent genomic regions between CG1 and CG2 (FST > 0.5). Table S7. Genomic region with top 5% θπ ratio. Table S8. Genomic region with top 5% population branch statistic (PBS) values. Table S9. Genomic region with top 5% XP-CLR values. Table S10. Genes located in the sweep region of CG1 and CG2. Table S11. Genes underwent selection in both CG1 and CG2 groups. Table S12. Statistical data for RNA sequencing of bulbs in 81 accessions. Table S13. Statistical analysis for genes associated with bulb traits. Table S14. Statistical data of SNPs in the genic regions of 84 accessions. Table S15. Statistics of overlap ratio for the deleterious mutations between accessions. Table S16. Summary of deleterious mutation burden in 84 accessions. Table S17. Genetic loci associated with clove number in 230 accessions (P < 5.32 ×10−9). Table S18. Differentially expressed genes by comparing the profiling of bulbs whose cloves are before enlargement and under enlarging-growth. Table S19. Differentially expressed genes underwent common selection in CG1 and CG2. Table S20. Primer sequences for constructing the overexpressed vector of Asa6G06199.1.
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 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) | 0.916 | 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".