Chromosome-level assembly and analysis of three hydroxy fatty acid-producing Physaria species
Bibliographic record
Abstract
Several Physaria species (Brassicaceae) produce abundant hydroxy fatty acids in their seeds, with industrial applications. Here, we report three chromosome-level genomes of Physaria species: P. lindheimeri, P. pallida and P. fendleri, with sizes of 344 Mb, 329 Mb and 452 Mb, respectively. Comparative genome analysis reveals that these three Physaria species diverged from Arabidopsis thaliana approximately 14.10-14.46 million years ago and underwent two consecutive Physaria-specific whole-genome duplication events. Their centromeres harbor an 111-bp satellite repeat and two retrotransposon classes (Gypsy/CRM, Copia/Ale). Transcriptomic analysis identifies seed-highly expressed lipid synthesis genes potentially underlying unique fatty acid profiles. Furthermore, we pinpoint the two residues in FAH12 variants that cause the disparity in hydroxylation activity among the three Physaria species. Taken together, this study provides important genomic resources for investigating the evolution of Physaria species and developing industrial oil crops for sustainable production of hydroxy fatty acids. Hydroxy fatty acids (HFA) accumulated in the seed of Physaira species are useful in various industrial applications. Here, the authors report three chromosome-level genomes of Physaria species and reveal variation of FAH12 causing the disparity in hydroxylation activity among the three species.
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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".