Genome-Wide Identification and Characterization of the IGT Gene Family in Allotetraploid Rapeseed ( <i>Brassica napus</i> L.)
Bibliographic record
Abstract
IGT family genes function critically to regulate lateral organ orientation in plants. However, little information is available about this family of genes in Brassica napus. In this study, 27 BnIGT genes were identified on 16 chromosomes and divided into seven clades, namely LAZY1∼LAZY6 and TAC1 (Tiller Angle Control 1), based on their phylogenetic relationships. Duplication analysis revealed that 91.1% of the gene pairs were derived from whole-genome duplication. Most BnIGT genes had a similar structural pattern with one or two very short exons followed by a long and a shorter exon. Common and specific motifs were identified among the seven clades, and motif 1, containing the family-specific GφL(A/T)IGT sequence, was observed in all clades except LAZY5. Three types of cis-elements pertinent to transcription factor binding, light responses, and hormone signaling were detected in the BnIGT promoters. Intriguingly, more than half of the BnIGT genes exhibited no or very low expression in various tissues, and the LAZY1 and TAC1 clade members showed distinct tissue expression preferences. Coexpression analysis revealed that the LAZY1 members had strong associations with cell wall biosynthesis genes. This analysis provides a deeper understanding of the BnIGT gene family and will facilitate further deduction of their role in regulating plant architecture in B. napus.
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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 | 0.001 | 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".