Telomere to telomere flax (<i>Linum usitatissimum</i> L.) genome assembly unlocks insights beyond fatty acid metabolism pathways
Bibliographic record
Abstract
Abstract One of China’s most important resources is flax (Linum usitatissimum L.), an ancient crop with significant nutritional and therapeutic benefits. Despite its importance, existing flax reference genomes remain incomplete, with many unassembled sequences. Here, we report a gapless 482.51 Mb telomere-to-telomere (T2T) flax genome assembly, predicting 46 634 genes, of which 42 805 were functionally annotated. Repetitive sequences constitute 60.05% of the genome, and we identified 30 telomeres and 15 centromeres across the chromosomes. Whole-genome duplication (WGD) events were detected at approximately 11.5, 53.5, and 114 million years ago (MYA) based on synonymous substitution rates (Ks). The T2T assembly enabled the reconstruction of the fatty acid metabolic pathway, identifying 49 related genes, including six newly annotated ones. Furthermore, genomic colocalization was observed between fatty acid metabolism pathway-related genes and transposable elements, suggesting that functional differentiation of these genes in flax evolution may have occurred through transposon-mediated duplication events. Phylogenetic analysis of SAD and FAD gene families revealed that FAD genes segregate into FAD2 and FAD3/7/8 subfamilies. Gene structure and motif analyses demonstrated conserved exon–intron architectures and motif organization within each phylogenetic clade of SAD and FAD genes. Promoter region characterization identified numerous cis-acting elements responsive to phytohormones (MeJA and abscisic acid) and abiotic stresses (low temperature and anaerobic induction) in both SAD and FAD genes. Our knowledge of the evolution of the flax genome is improved by this excellent genome assembly, which also offers a strong basis for enhancing agricultural attributes and speeding up molecular breeding.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".