Mutations in the promoter, intron and CDS of two FAD2 generate multiple alleles modulating linoleic acid level in yellow mustard
Bibliographic record
Abstract
Abstract Linoleic acid (C18:2) is an important polyunsaturated fatty acid in the seed oil of many crops. Here, we report that mutations in the promoter, intron and CDS of the FAD2 genes SalFAD2.LIA1 and SalFAD2.LIA2 generate three alleles LIA1a , LIA 1b and lia 1 and two alleles LIA2 and lia2, respectively, controlling the C18:2 variation (4.4–32.7%) in yellow mustard. The allelic effect on increasing C18:2 content is LIA 1a > LIA 1b > lia 1 , LIA2 > lia2, and LIA 1a > LIA2. The five FAD2 alleles each contain two exons, one intron and a promoter adjacent to exon 1. LIA1a has a 1152 bp CDS, a 1221 bp intron with promoter function and a 607 bp promoter. Compared with LIA 1a , the intron of LIA 1b has reduced promoter activity and that of LIA2 and lia2 has no promoter function due to extensive SNP and indel mutations. lia1 differed from LIA1b by having an insertion of 1223 bp retrotransposon in its intron. lia 2 with mutations in the promoter has reduced promoter activity compared with LIA 2 . This study revealed that complex quantitative variation of trait phenotype in plants could be modulated by multiple alleles of oligogenic loci resulting from mutations in the regulatory region and CDS.
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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) | 0.001 | 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".