Cloning and Characterization of a NBS-LRR Resistance Gene from Peanut (Arachis hypogaea L.?
Bibliographic record
Abstract
The nucleotide-binding site (NBS)-Leucine-rich repeat (LRR) gene family accounts for the largest number of known disease resistance genes, and is one of the largest gene families in plant genomes. In the present study, based on the NBS domain, resistance gene analogues (RGAs) have been isolated from peanut, which named PnAG3. A full-length cDNA, PnAG3 was obtained by rapid amplification of cDNA ends (RACE) method. Sequence analysis indicated that the length of PnAG3 was 1 882 bp, including a complete open reading frame of 1 335 bp encoding PnAG3 protein of 444 amino acids. Multiple analysis showed that it had a certain homology with known resistance proteins, among which Arachis cardenasii resistance protein had the highest homology (48.01%). The polypeptide has a typical structure of nonTIR-NBS-LRR genes. Real-time fluorescence quantitative PCR analysis showed that after A. flavus infection, the expression of PnAG3 gene in J11 (A. flavus resistance species) has increased 16.68, 11.16 and 25.96 times in seed coat, kernel and pericarp, respectively. But it only increased 2-3 times in JH1012 (A. flavus sensitive species). The cloning of putative resistance gene from peanut provides a basis for studying the structure and function of peanut disease-resistance relating genes and disease resistant genetic breeding in peanut.
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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) | 0.001 | 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".