Modifying the Stripe Rust Resistance Gene Yr10 in Wheat (Triticum aestivum L.) by PCR Mutagenesis
Bibliographic record
Abstract
Stripe rust is a disease in cereal crops caused by the fungal pathogen Puccinia striiformis which can have devastating effects on crop yields. Cereal plants have unique resistance (R) genes which code for resistance (R) proteins with coiled coil (CC), nucleotide binding site (NBS), and leucine rich repeat (LRR) domains. The CC and LRR domains are thought to be particularly important for protein function/interaction in the resistance response. The Yr10 gene is a stripe rust resistance gene in Triticum aestivum that codes for a unique CC-NBS-LRR sequence but no longer confers resistance to some races of rust. Previous studies indicate that by mutagenizing the DNA sequences that code for the CC and LRR domains it is possible to change the R protein’s sequence, and possibly the interaction during the resistance response3. Thus, the defeated R genes can confer resistance once again when mutagenized in these regions. This study used PCR mutagenesis (by overlap extension) to mutagenize the Yr10 gene in the regions encoding the CC and LRR domains. Primers were designed to amplify Yr10 such that products contained mutated sequence as extensions, available for overlap. The amplifications were the expected size, indicted primers were successful. The PCR products containing the mutagenized sequences of Yr10 were then assembled with the pANIC 6D vector to be used in further experiments involving the transformation of wheat crops to test resistance. *Indicates presenter
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".