A locus conferring resistance to <i>Colletotrichum higginsianum</i> is shared by four geographically distinct Arabidopsis accessions
Bibliographic record
Abstract
Colletotrichum higginsianum is a hemibiotrophic fungal pathogen that causes anthracnose disease on Arabidopsis and other crucifer hosts. By exploiting natural variation in Arabidopsis we identified a resistance locus that is shared by four geographically distinct accessions (Ws-0, Kondara, Gifu-2 and Can-0). A combination of quantitative trait loci (QTL) and Mendelian mapping positioned this locus within the major recognition gene complex MRC-J on chromosome 5 containing the Toll-interleukin-1 receptor/nucleotide-binding site/leucine-rich repeat (TIR-NB-LRR) genes RPS4 and RRS1 that confer dual resistance to C. higginsianum in Ws-0 (Narusaka et al., 2009). We find that the resistance shared by these diverse Arabidopsis accessions is expressed at an early stage of fungal invasion, at the level of appressorial penetration and establishment of intracellular biotrophic hyphae, and that this determines disease progression. Resistance is not associated with host hypersensitive cell death, an oxidative burst or callose deposition in epidermal cells but requires the defense regulator EDS1, highlighting new functions of TIR-NB-LRR genes and EDS1 in limiting early establishment of fungal biotrophy. While the Arabidopsis accession Ler-0 is fully susceptible to C. higginsianum infection, Col-0 displays intermediate resistance that also maps to MRC-J. By analysis of null mutants of RPS4 and RRS1 in Col-0 we show that these genes, individually, do not contribute strongly to C. higginsianum resistance but are both required for resistance to Pseudomonas syringae bacteria expressing the Type III effector, AvrRps4. We conclude that distinct allelic forms of RPS4 and RRS1 probably cooperate to confer resistance to different pathogens.
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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 | 0.000 |
| 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".