Proteome of monoclonal antibody‐purified haustoria from <i>Puccinia triticina</i> Race‐1
Bibliographic record
Abstract
Puccinia triticina causes leaf rust, a disease that causes annual yield losses in wheat. It is an obligate parasite that invades the host leaf and forms intracellular structures called haustoria, which obtain nutrients and suppress host immunity using secreted proteins called effectors. Since effector proteins act at the frontier between plant and pathogen and help determine the outcome of the interaction, it is critical to understand their functions. Here, we used a direct proteomics approach to identify effector candidates from P. triticina Race 1 haustoria isolated with a specific monoclonal antibody. Haustoria were >95% pure and free of host contaminants. Using high resolution MS we have identified 1192 haustoria proteins. These were quantified using normalized spectral counts and spanned a dynamic range of three orders of magnitude, with unknown proteins and metabolic enzymes as the most highly represented. The dataset contained 140 candidate effector proteins, based on the presence of a signal peptide and the absence of a known function for the protein. Some of these candidates were significantly enriched with cysteine, with up to 13 residues per protein and up to 6.8% cysteine in composition.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".