An efficient hairy root system for genome editing of a β-ODAP pathway gene in <i>Lathyrus sativus</i>
Bibliographic record
Abstract
Abstract Grass pea ( Lathyrus sativus ) is an ideal legume crop for resource-poor farmers, having resistance to various biotic and abiotic stresses. The seeds of this plant are rich in protein and are the only known dietary source of L-homoarginine. Moreover, it thrives with minimal inputs making it a promising crop in grain legume breeding programs with immense potential for food security. Despite these advantages, the global area under its cultivation has decreased because of the presence of an antinutrient compound, β-N-oxalyl-L-α,β-diamino propionic acid (β-ODAP), which results in neurolathyrism both in humans and animals. Multiple efforts in the past have resulted in the development of improved varieties with low ODAP. Still, due to variations in response to the environment, stable low-ODAP lines have not been developed for large-scale cultivation. In this paper, we report in planta characterization of Oxalyl-CoA Synthetase (OCS) involved in the oxalylating step leading to β-ODAP production. We established a hairy root transformation system for Lathyrus and demonstrated the genome editing of LsOCS . Further, we show that oxalate accumulates in these hairy roots due to loss-of-function of the OCS gene. This is the first report of functional analysis of a Lathyrus gene in Lathyrus . The hairy root genome editing system we developed can be used as a quick system for functional studies of Lathyrus genes.
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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 | 0.001 |
| 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".