Genome-Wide Association Mapping in Sunflower (<i>Helianthus annuus</i>) Reveals Common Loci and Putative Candidate Genes for Resistance to <i>Diaporthe gulyae</i> and <i>D. helianthi</i> Causing Phomopsis Stem Canker
Bibliographic record
Abstract
Diaporthe gulyae and D. helianthi cause Phomopsis stem canker of sunflower (Helianthus annuus L.) in the United States. Because Phomopsis stem canker did not gain importance until the disease epidemic in 2010, limited studies were conducted to understand the genetic basis of sunflower resistance to D. gulyae and D. helianthi. The objectives of this study were to evaluate the United States Department of Agriculture cultivated accessions for resistance to D. gulyae and D. helianthi as well as to utilize genome-wide association studies (GWAS) to identify quantitative trait loci (QTLs) and putative candidate genes underlying those loci common to both organisms. For each fungus, 213 accessions were screened in a complete randomized design in the greenhouse and the experiment was repeated once. Six plants per accession were inoculated with a single isolate of D. gulyae or D. helianthi at four to six true leaves using the mycelium-contact inoculation method. At 15 days (D. gulyae) and 30 days (D. helianthi) postinoculation, accessions were evaluated for disease severity and compared with the susceptible confection inbred PI 552934. GWAS identified 28 QTLs common to the two fungi, and 24 genes overlapped close to these QTLs. Additionally, it was observed that the resistance QTLs derived mainly from landraces rather than from wild species. Seventeen putative candidate genes associated with resistance to D. gulyae or D. helianthi were identified that may be related to plant–pathogen interactions. These findings advanced our understanding of the genetic basis of resistance to D. gulyae and D. helianthi and will help develop resources for genomics-assisted breeding.
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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 | 0.001 | 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 | 0.000 |
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".