Expression of a <i>Phytophthora sojae</i> necrosis‐inducing protein occurs during transition from biotrophy to necrotrophy
Bibliographic record
Abstract
Phytophthora sojae is an oomycete that causes stem and root rot on soybean plants. To discover pathogen factors that produce disease symptoms or activate plant defense responses, we identified putative secretory proteins from expressed sequence tags (ESTs) and tested selected candidates using a heterologous expression assay. From an analysis of 3035 ESTs originating from mycelium, zoospore, and infected soybean tissues, we identified 176 putative secreted proteins. A total of 16 different cDNAs predicted to encode secreted proteins ranging in size from 6 to 26 kDa were selected for expression analysis in Nicotiana benthamiana using an Agrobacterium tumefaciens binary potato virus X (PVX) vector. This resulted in the identification of a 25.6-kDa necrosis-inducing protein that is similar in sequence to other proteins from eukaryotic and prokaryotic species. The genomic region encoding the P. sojae necrosis-inducing protein was isolated and the expression pattern of the corresponding gene determined by RNA blot hybridization and by RT-PCR. The activity of this P. sojae protein was compared to proteins of similar sequence from Fusarium oxysporum, Bacillus halodurans, and Streptomyces coelicolor by PVX-based expression in N. benthamiana and by transient expression via particle bombardment in soybean tissues. The P. sojae protein was a powerful inducer of necrosis and cell death in both assays, whereas related proteins from other species varied in their activity. This study suggests that the P. sojae necrosis-inducing protein facilitates the colonization of host tissues during the necrotrophic phase of growth.
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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) | 0.000 | 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 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".