Candidate disease resistance genes in sunflower cloned using conserved nucleotide-binding site motifs: Genetic mapping and linkage to the downy mildew resistance gene<i>Pl1</i>
Bibliographic record
Abstract
Disease resistance gene candidates (RGCs) belonging to the nucleotide-binding site (NBS) superfamily have been cloned from numerous crop plants using highly conserved DNA sequence motifs. The aims of this research were to (i) isolate genomic DNA clones for RGCs in cultivated sunflower (Helianthus annuus L.) and (ii) map RGC markers and Pl1, a gene for resistance to downy mildew (Plasmopara halstedii (Farl.) Berl. & de Toni) race 1. Degenerate oligonucleotide primers targeted to conserved NBS DNA sequence motifs were used to amplify RGC fragments from sunflower genomic DNA. PCR products were cloned, sequenced, and assigned to 11 groups. RFLP analyses mapped six RGC loci to three linkage groups. One of the RGCs (Ha-4W2) was linked to Pl1, a downy mildew resistance gene. A cleaved amplified polymorphic sequence (CAPS) marker was developed for Ha-4W2 using gene-specific oligonucleotide primers. Downy mildew susceptible lines (HA89 and HA372) lacked a 276-bp Tsp5091 restriction fragment that was present in downy mildew resistant lines (HA370, 335, 336, 337, 338, and 339). HA370 x HA372 F2 progeny were genotyped for the Ha-4W2 CAPS marker and phenotyped for resistance to downy mildew race 1. The CAPS marker was linked to but did not completely cosegregate with Pl1 on linkage group 8. Ha-4W2 was found to comprise a gene family with at least five members. Although genetic markers for Ha-4W2 have utility for marker-assisted selection, the RGC detected by the CAPS marker has been ruled out as a candidate gene for Pl1. Three of the RGC probes were monomorphic between HA370 and HA372 and still need to be mapped and screened for linkage to disease resistance loci.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".